Integrating PostgreSql with RabbitMQ
12 likes15,961 views
This document discusses integrating RabbitMQ with PostgreSQL by using RabbitMQ as a messaging system to publish notifications from PostgreSQL. It describes pg_amqp, a PostgreSQL extension that allows publishing messages via AMQP from user-defined functions. It also describes a PostgreSQL Listen Exchange in RabbitMQ that issues LISTEN commands and publishes received notifications to queues based on routing keys matching the notification channel.
1 of 33
Downloaded 130 times
Ad
Recommended
Introduction To RabbitMQ
Introduction To RabbitMQKnoldus Inc. This document provides an introduction to RabbitMQ, a messaging broker that implements the Advanced Message Queuing Protocol (AMQP). It details the messaging system's components, including producers, consumers, queues, and exchanges, explaining how messages flow from production to consumption. Various types of exchanges, such as direct, fanout, topic, and header exchanges, are also discussed, highlighting their routing mechanisms.
OpenAPI and gRPC Side by-Side
OpenAPI and gRPC Side by-SideTim Burks The document compares OpenAPI and gRPC, highlighting their roles as frameworks for networked application programming interfaces (APIs) with different strengths in API design and management. OpenAPI is a specification for describing REST APIs, focusing on validation and code generation, while gRPC is based on Google's internal architecture, optimized for high-performance microservices and supports various transport mechanisms. It outlines key methodologies, tools, and practices for building and using these APIs, emphasizing the importance of effective code generation and API design principles.
gRPC
gRPCMajid Alaeinia - gRPC is an open source RPC framework originally developed by Google in 2015. It uses HTTP/2 for transport, Protocol Buffers as the interface definition language, and provides features like authentication, bidirectional streaming and interface definitions.
- Compared to REST, gRPC is faster, more efficient through binary encoding (Protocol Buffers), supports bidirectional streaming, and generates client and server code. However, it lacks browser support and has fewer available tools.
- gRPC is best suited for internal microservices communication where high performance is required and tight coupling is acceptable. It supports unary, server streaming, client streaming and bidirectional streaming RPC patterns.
HTTP Analytics for 6M requests per second using ClickHouse, by Alexander Boc...
HTTP Analytics for 6M requests per second using ClickHouse, by Alexander Boc...Altinity Ltd This document summarizes Cloudflare's use of ClickHouse to analyze over 6 million HTTP requests per second. Some key points:
- Cloudflare previously used PostgreSQL, Citus, and Flink but these did not scale sufficiently.
- ClickHouse was chosen as it is fast, scalable, fault tolerant, and Cloudflare had existing expertise in it.
- Cloudflare designed ClickHouse schemas to aggregate HTTP data into totals, breakdowns by category, and unique counts into two tables using different engines.
- Tuning ClickHouse index granularity improved query latency by 50% and throughput by 3x.
- The new ClickHouse pipeline is more scalable, fault tolerant
Apache Kafka Architecture & Fundamentals Explained
Apache Kafka Architecture & Fundamentals Explainedconfluent The document outlines the fundamentals and architecture of Apache Kafka, focusing on key elements such as topics, producers, brokers, and consumers. It explains how Kafka decouples producers and consumers, leverages Zookeeper for configuration, and manages data through partitions and segments. Additionally, it provides information on training and certification opportunities for developing and administering Apache Kafka.
Introduction to Kubernetes
Introduction to Kubernetesrajdeep Kubernetes is an open-source system for managing containerized applications across multiple hosts. It includes key components like Pods, Services, ReplicationControllers, and a master node for managing the cluster. The master maintains state using etcd and schedules containers on worker nodes, while nodes run the kubelet daemon to manage Pods and their containers. Kubernetes handles tasks like replication, rollouts, and health checking through its API objects.
Kafka connect 101
Kafka connect 101Whiteklay The document explains Kafka Connect as a framework that integrates Kafka with various data sources and sinks through source and sink connectors. It outlines its features including scalability, fault tolerance, and the architecture comprising connectors, tasks, and workers operating in standalone or distributed modes. Additionally, it describes the management of connectors through REST API commands for tasks such as viewing, pausing, and restarting connectors.
RabbitMQ.ppt
RabbitMQ.pptssuserde97861 RabbitMQ is an open-source message broker software written in Erlang that implements the AMQP protocol. It supports multiple messaging protocols and follows FIFO methods. RabbitMQ is commonly used to build distributed systems that communicate via asynchronous messaging. It provides high availability, scalability, reliability, and security for enterprise systems and has good performance. RabbitMQ acts as a message broker that accepts messages from producers and forwards them to queues. It gives applications a common platform to send and receive messages.
Storing 16 Bytes at Scale
Storing 16 Bytes at ScaleFabian Reinartz The document discusses techniques for storing time series data at scale in a time series database (TSDB). It describes storing 16 bytes of data per sample by compressing timestamps and values. It proposes organizing data into blocks, chunks, and files to handle high churn rates. An index structure uses unique IDs and sorted label mappings to enable efficient queries over millions of time series and billions of samples. Benchmarks show the TSDB can handle over 100,000 samples/second while keeping memory, CPU and disk usage low.
Scalability, Availability & Stability Patterns
Scalability, Availability & Stability PatternsJonas Bonér This document provides an overview of patterns for scalability, availability, and stability in distributed systems. It discusses general recommendations like immutability and referential transparency. It covers scalability trade-offs around performance vs scalability, latency vs throughput, and availability vs consistency. It then describes various patterns for scalability including managing state through partitioning, caching, sharding databases, and using distributed caching. It also covers patterns for managing behavior through event-driven architecture, compute grids, load balancing, and parallel computing. Availability patterns like fail-over, replication, and fault tolerance are discussed. The document provides examples of popular technologies that implement many of these patterns.
The RabbitMQ Message Broker
The RabbitMQ Message BrokerMartin Toshev RabbitMQ is an open source message broker that implements the AMQP protocol. It provides various messaging patterns using different exchange types and supports clustering for scalability and high availability. Administration of RabbitMQ includes managing queues, exchanges, bindings and other components. Integrations exist for protocols like STOMP, MQTT and frameworks like Spring, while security features include authentication, authorization, and SSL/TLS encryption.
Introduction to Apache Kafka
Introduction to Apache KafkaAIMDek Technologies Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming apps. It was developed by LinkedIn in 2011 to solve problems with data integration and processing. Kafka uses a publish-subscribe messaging model and is designed to be fast, scalable, and durable. It allows both streaming and storage of data and acts as a central data backbone for large organizations.
Introduction to MongoDB
Introduction to MongoDBRavi Teja This document provides an introduction to MongoDB, highlighting its features as a scalable, high-performance, open-source, document-oriented database designed for modern applications. It discusses the benefits of MongoDB over traditional SQL databases, such as schema-less collection structures and simplified queries, while also noting its limitations in highly transactional applications. Additionally, it touches on indexing, document models, updates, and deployment, concluding with a call for job applications at Pipal Tech Ventures.
Kafka streams windowing behind the curtain
Kafka streams windowing behind the curtain confluent The document presents an overview of windowing options in Kafka Streams, highlighting various use cases and examples of aggregate windowing. It explains different kinds of window types such as tumbling, hopping, sliding, and session windows, discussing their applications and considerations. Additionally, it touches upon developer tools and the mechanics involved in managing windowing within Kafka Streams and RocksDB.
What is gRPC introduction gRPC Explained
What is gRPC introduction gRPC Explainedjeetendra mandal gRPC is an open source high performance RPC framework developed by Google. It uses HTTP/2 for transport, Protocol Buffers as the interface description language, and provides features such as authentication, bidirectional streaming and flow control. gRPC can connect microservices efficiently and is used by many companies including Google, Uber, Square and Netflix. It generates client and server code for multiple languages and can be used for building distributed systems like microservices architectures.
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...StreamNative The document discusses Toast's adoption and use of Apache Pulsar for asynchronous messaging in their microservices architecture. It describes how they built a "Pulsar Toggle" leveraging Envoy proxy to enable blue/green deployments of Pulsar consumers. The Pulsar Toggle allows consumers to be paused and resumed based on their status in the Envoy control plane, improving the reliability and usability of deploying changes to Pulsar-based services. Toast has seen increased adoption of Pulsar and benefits from its stability and scalability.
Microservices Communication Patterns with gRPC
Microservices Communication Patterns with gRPCWSO2 The document provides an overview of gRPC, a modern inter-process communication technology that simplifies remote function calls. It discusses gRPC's service definitions using protocol buffers, different communication patterns such as unary, server streaming, client streaming, and bidirectional streaming, as well as aspects like interceptors, metadata, and API management. The author highlights the advantages of using gRPC over other communication protocols, including efficiency, strong typing, and compatibility with cloud-native ecosystems.
Elasticsearch
ElasticsearchShagun Rathore The document explains the ELK stack, which includes Elasticsearch, Logstash, and Kibana, and their roles in data ingestion, processing, and visualization. It details how Elasticsearch functions as a distributed, scalable search and analytics engine, supports multiple data types, and uses an inverted index for fast text searches. The document also discusses the Amazon Elasticsearch service, its benefits, use cases, and advantages, including deployment ease and security features.
Kappa vs Lambda Architectures and Technology Comparison
Kappa vs Lambda Architectures and Technology ComparisonKai Wähner This document discusses the comparison between Kappa and Lambda architectures for event streaming and data processing, highlighting their use cases, trade-offs, and the technologies involved. It emphasizes the benefits of Kappa architecture, such as simplicity, real-time processing, and scalability, while addressing concerns related to data availability and consistency. The text also includes examples of Kappa architecture implementations across various companies and applications in the domain of data analytics and real-time event handling.
Dissecting the rabbit: RabbitMQ Internal Architecture
Dissecting the rabbit: RabbitMQ Internal ArchitectureAlvaro Videla The document presents an in-depth analysis of RabbitMQ's internal architecture and functionalities, including its messaging system, process management, and extensibility features. It explains concepts like message storage, supervision trees, and various RabbitMQ behaviors, as well as providing examples of Erlang code related to its operation. Additionally, it discusses practical implementations and configurations, highlighting RabbitMQ's adaptability for various user needs within different programming environments.
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...Databricks The document outlines Airbnb's approach to building data products using Spark, highlighting their data infrastructure that integrates both streaming and batch processing. It describes the architecture, data sources, computation flows, and technology used, including HBase, Kafka, and various query engines. Key features include a unified API for processing and a shared global state store, enabling efficient data handling across multiple use cases.
gRPC Overview
gRPC OverviewVarun Talwar gRPC is an open source RPC framework that makes it easy to build a distributed system across multiple languages. It uses HTTP/2 for transport, has features like streaming, load balancing and authentication built-in. It is used widely at Google and is now available open source with implementations in 10 languages. gRPC benefits from being layered on HTTP/2 for interoperability and has a pluggable architecture for advanced features like monitoring and proxies.
3 Kafka patterns to deliver Streaming Machine Learning models with Andrea Spi...
3 Kafka patterns to deliver Streaming Machine Learning models with Andrea Spi...HostedbyConfluent The document discusses three key Kafka patterns for delivering streaming machine learning models presented at Kafka Summit 2022 by Andrea Spina. It highlights the benefits of online learning, including low computational requirements and robustness to concept drift, as well as the use of River ML and Seldon Core for dynamic model serving and async scoring capabilities. The importance of feedback mechanisms in streaming ML via Kafka is also emphasized, detailing the data structure and user interactions necessary for effective model predictions.
CockroachDB
CockroachDBandrei moga CockroachDB is a distributed SQL database that aims for scalability, strong consistency, and survivability. It implements a distributed key-value store and translates SQL queries into key-value operations. Data is partitioned into ranges that are replicated across multiple nodes for fault tolerance. Transactions are executed using a two-phase commit process to maintain strong consistency across the distributed database.
Grafana Loki: like Prometheus, but for Logs
Grafana Loki: like Prometheus, but for LogsMarco Pracucci The document discusses Grafana Loki, an open-source tool for efficiently managing logs in observability systems. It details the architecture, including components like Promtail, and explains how logs are processed, indexed, and stored in various backends. Additionally, it covers sharding, replication strategies, and the query mechanism utilized to enhance performance in log management.
Cassandra at eBay - Cassandra Summit 2012
Cassandra at eBay - Cassandra Summit 2012Jay Patel eBay utilizes Cassandra for its database needs, supporting 97 million active users and handling over 2 billion page views daily. The deployment includes multiple clusters with significant storage and write/read volumes, focusing on real-time analytics for social signals and various other use cases. Key considerations involve choosing proper replication and consistency levels, alongside managing the data model based on query patterns.
Intro to InfluxDB
Intro to InfluxDBInfluxData InfluxDB University provides free training on time series databases and related technologies, emphasizing their importance for real-time data management in various applications such as IoT, devops, and analytics. The InfluxDB platform is a high-performance, open-source tool designed for developers to efficiently manage time-stamped data across numerous integrations. The document outlines the core concepts of InfluxDB, including its data model, powerful API, and community ecosystem that supports effective data analytics and application development.
gRPC Design and Implementation
gRPC Design and ImplementationVarun Talwar The document discusses gRPC, an open-source framework for building distributed applications and services. It was motivated by Google's experience with internal RPC systems handling over 1010 RPCs per second. gRPC uses HTTP/2 for transport, allowing it to take advantage of existing network infrastructure while enabling features like bidirectional streaming. It generates client and server code from IDL definitions, supporting multiple languages.
PostgreSQL: meet your queue
PostgreSQL: meet your queueTheo Schlossnagle This document summarizes a presentation about using PostgreSQL with message queues. It discusses how PostgreSQL can integrate with other systems by using the pg_amqp extension to publish messages to an AMQP broker on transaction commit. This allows actions like cache purges or search index updates to happen automatically when related database records change. While the current implementation uses AMQP 0.8, future support for AMQP 1.0 would add two-phase commit to make the process safer.
Pg amqp
Pg amqpCommand Prompt., Inc This document summarizes a presentation about using PostgreSQL with message queues. It discusses how PostgreSQL can integrate with other systems by using the pg_amqp extension to publish messages to an AMQP broker on transaction commit. This allows actions like cache purges or search index updates to happen automatically when related database records change. While the current implementation uses AMQP 0.8 and has some transactional consistency issues, future support for AMQP 1.0 in brokers will resolve this.
More Related Content
What's hot (20)
Storing 16 Bytes at Scale
Storing 16 Bytes at ScaleFabian Reinartz The document discusses techniques for storing time series data at scale in a time series database (TSDB). It describes storing 16 bytes of data per sample by compressing timestamps and values. It proposes organizing data into blocks, chunks, and files to handle high churn rates. An index structure uses unique IDs and sorted label mappings to enable efficient queries over millions of time series and billions of samples. Benchmarks show the TSDB can handle over 100,000 samples/second while keeping memory, CPU and disk usage low.
Scalability, Availability & Stability Patterns
Scalability, Availability & Stability PatternsJonas Bonér This document provides an overview of patterns for scalability, availability, and stability in distributed systems. It discusses general recommendations like immutability and referential transparency. It covers scalability trade-offs around performance vs scalability, latency vs throughput, and availability vs consistency. It then describes various patterns for scalability including managing state through partitioning, caching, sharding databases, and using distributed caching. It also covers patterns for managing behavior through event-driven architecture, compute grids, load balancing, and parallel computing. Availability patterns like fail-over, replication, and fault tolerance are discussed. The document provides examples of popular technologies that implement many of these patterns.
The RabbitMQ Message Broker
The RabbitMQ Message BrokerMartin Toshev RabbitMQ is an open source message broker that implements the AMQP protocol. It provides various messaging patterns using different exchange types and supports clustering for scalability and high availability. Administration of RabbitMQ includes managing queues, exchanges, bindings and other components. Integrations exist for protocols like STOMP, MQTT and frameworks like Spring, while security features include authentication, authorization, and SSL/TLS encryption.
Introduction to Apache Kafka
Introduction to Apache KafkaAIMDek Technologies Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming apps. It was developed by LinkedIn in 2011 to solve problems with data integration and processing. Kafka uses a publish-subscribe messaging model and is designed to be fast, scalable, and durable. It allows both streaming and storage of data and acts as a central data backbone for large organizations.
Introduction to MongoDB
Introduction to MongoDBRavi Teja This document provides an introduction to MongoDB, highlighting its features as a scalable, high-performance, open-source, document-oriented database designed for modern applications. It discusses the benefits of MongoDB over traditional SQL databases, such as schema-less collection structures and simplified queries, while also noting its limitations in highly transactional applications. Additionally, it touches on indexing, document models, updates, and deployment, concluding with a call for job applications at Pipal Tech Ventures.
Kafka streams windowing behind the curtain
Kafka streams windowing behind the curtain confluent The document presents an overview of windowing options in Kafka Streams, highlighting various use cases and examples of aggregate windowing. It explains different kinds of window types such as tumbling, hopping, sliding, and session windows, discussing their applications and considerations. Additionally, it touches upon developer tools and the mechanics involved in managing windowing within Kafka Streams and RocksDB.
What is gRPC introduction gRPC Explained
What is gRPC introduction gRPC Explainedjeetendra mandal gRPC is an open source high performance RPC framework developed by Google. It uses HTTP/2 for transport, Protocol Buffers as the interface description language, and provides features such as authentication, bidirectional streaming and flow control. gRPC can connect microservices efficiently and is used by many companies including Google, Uber, Square and Netflix. It generates client and server code for multiple languages and can be used for building distributed systems like microservices architectures.
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...
Blue-green deploys with Pulsar & Envoy in an event-driven microservice ecosys...StreamNative The document discusses Toast's adoption and use of Apache Pulsar for asynchronous messaging in their microservices architecture. It describes how they built a "Pulsar Toggle" leveraging Envoy proxy to enable blue/green deployments of Pulsar consumers. The Pulsar Toggle allows consumers to be paused and resumed based on their status in the Envoy control plane, improving the reliability and usability of deploying changes to Pulsar-based services. Toast has seen increased adoption of Pulsar and benefits from its stability and scalability.
Microservices Communication Patterns with gRPC
Microservices Communication Patterns with gRPCWSO2 The document provides an overview of gRPC, a modern inter-process communication technology that simplifies remote function calls. It discusses gRPC's service definitions using protocol buffers, different communication patterns such as unary, server streaming, client streaming, and bidirectional streaming, as well as aspects like interceptors, metadata, and API management. The author highlights the advantages of using gRPC over other communication protocols, including efficiency, strong typing, and compatibility with cloud-native ecosystems.
Elasticsearch
ElasticsearchShagun Rathore The document explains the ELK stack, which includes Elasticsearch, Logstash, and Kibana, and their roles in data ingestion, processing, and visualization. It details how Elasticsearch functions as a distributed, scalable search and analytics engine, supports multiple data types, and uses an inverted index for fast text searches. The document also discusses the Amazon Elasticsearch service, its benefits, use cases, and advantages, including deployment ease and security features.
Kappa vs Lambda Architectures and Technology Comparison
Kappa vs Lambda Architectures and Technology ComparisonKai Wähner This document discusses the comparison between Kappa and Lambda architectures for event streaming and data processing, highlighting their use cases, trade-offs, and the technologies involved. It emphasizes the benefits of Kappa architecture, such as simplicity, real-time processing, and scalability, while addressing concerns related to data availability and consistency. The text also includes examples of Kappa architecture implementations across various companies and applications in the domain of data analytics and real-time event handling.
Dissecting the rabbit: RabbitMQ Internal Architecture
Dissecting the rabbit: RabbitMQ Internal ArchitectureAlvaro Videla The document presents an in-depth analysis of RabbitMQ's internal architecture and functionalities, including its messaging system, process management, and extensibility features. It explains concepts like message storage, supervision trees, and various RabbitMQ behaviors, as well as providing examples of Erlang code related to its operation. Additionally, it discusses practical implementations and configurations, highlighting RabbitMQ's adaptability for various user needs within different programming environments.
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liy...Databricks The document outlines Airbnb's approach to building data products using Spark, highlighting their data infrastructure that integrates both streaming and batch processing. It describes the architecture, data sources, computation flows, and technology used, including HBase, Kafka, and various query engines. Key features include a unified API for processing and a shared global state store, enabling efficient data handling across multiple use cases.
gRPC Overview
gRPC OverviewVarun Talwar gRPC is an open source RPC framework that makes it easy to build a distributed system across multiple languages. It uses HTTP/2 for transport, has features like streaming, load balancing and authentication built-in. It is used widely at Google and is now available open source with implementations in 10 languages. gRPC benefits from being layered on HTTP/2 for interoperability and has a pluggable architecture for advanced features like monitoring and proxies.
3 Kafka patterns to deliver Streaming Machine Learning models with Andrea Spi...
3 Kafka patterns to deliver Streaming Machine Learning models with Andrea Spi...HostedbyConfluent The document discusses three key Kafka patterns for delivering streaming machine learning models presented at Kafka Summit 2022 by Andrea Spina. It highlights the benefits of online learning, including low computational requirements and robustness to concept drift, as well as the use of River ML and Seldon Core for dynamic model serving and async scoring capabilities. The importance of feedback mechanisms in streaming ML via Kafka is also emphasized, detailing the data structure and user interactions necessary for effective model predictions.
CockroachDB
CockroachDBandrei moga CockroachDB is a distributed SQL database that aims for scalability, strong consistency, and survivability. It implements a distributed key-value store and translates SQL queries into key-value operations. Data is partitioned into ranges that are replicated across multiple nodes for fault tolerance. Transactions are executed using a two-phase commit process to maintain strong consistency across the distributed database.
Grafana Loki: like Prometheus, but for Logs
Grafana Loki: like Prometheus, but for LogsMarco Pracucci The document discusses Grafana Loki, an open-source tool for efficiently managing logs in observability systems. It details the architecture, including components like Promtail, and explains how logs are processed, indexed, and stored in various backends. Additionally, it covers sharding, replication strategies, and the query mechanism utilized to enhance performance in log management.
Cassandra at eBay - Cassandra Summit 2012
Cassandra at eBay - Cassandra Summit 2012Jay Patel eBay utilizes Cassandra for its database needs, supporting 97 million active users and handling over 2 billion page views daily. The deployment includes multiple clusters with significant storage and write/read volumes, focusing on real-time analytics for social signals and various other use cases. Key considerations involve choosing proper replication and consistency levels, alongside managing the data model based on query patterns.
Intro to InfluxDB
Intro to InfluxDBInfluxData InfluxDB University provides free training on time series databases and related technologies, emphasizing their importance for real-time data management in various applications such as IoT, devops, and analytics. The InfluxDB platform is a high-performance, open-source tool designed for developers to efficiently manage time-stamped data across numerous integrations. The document outlines the core concepts of InfluxDB, including its data model, powerful API, and community ecosystem that supports effective data analytics and application development.
gRPC Design and Implementation
gRPC Design and ImplementationVarun Talwar The document discusses gRPC, an open-source framework for building distributed applications and services. It was motivated by Google's experience with internal RPC systems handling over 1010 RPCs per second. gRPC uses HTTP/2 for transport, allowing it to take advantage of existing network infrastructure while enabling features like bidirectional streaming. It generates client and server code from IDL definitions, supporting multiple languages.
Viewers also liked (20)
PostgreSQL: meet your queue
PostgreSQL: meet your queueTheo Schlossnagle This document summarizes a presentation about using PostgreSQL with message queues. It discusses how PostgreSQL can integrate with other systems by using the pg_amqp extension to publish messages to an AMQP broker on transaction commit. This allows actions like cache purges or search index updates to happen automatically when related database records change. While the current implementation uses AMQP 0.8, future support for AMQP 1.0 would add two-phase commit to make the process safer.
Pg amqp
Pg amqpCommand Prompt., Inc This document summarizes a presentation about using PostgreSQL with message queues. It discusses how PostgreSQL can integrate with other systems by using the pg_amqp extension to publish messages to an AMQP broker on transaction commit. This allows actions like cache purges or search index updates to happen automatically when related database records change. While the current implementation uses AMQP 0.8 and has some transactional consistency issues, future support for AMQP 1.0 in brokers will resolve this.
Rabbitmq Boot System
Rabbitmq Boot SystemAlvaro Videla The document discusses RabbitMQ boot steps, which take care of starting the many RabbitMQ subsystems in the proper order and respecting dependencies. It was created by @leastfixedpoint to handle ordering and allow modifying configuration at startup. The boot steps are defined using Erlang modules and module attributes, and their execution involves functions like rabbit_misc:all_module_attributes/1, rabbit:boot_steps/0, and rabbit_misc:build_acyclic_graph/3.
Skytools: PgQ Queues and applications
Skytools: PgQ Queues and applicationselliando dias PgQ is a queue implementation for PostgreSQL that allows events to be produced asynchronously by producers and processed by consumers, providing reliable messaging, batch processing, and replication capabilities. It stores events transactionally in PostgreSQL tables and uses a ticker process to group events into batches for efficient processing by multiple consumer applications running in different languages. PgQ guarantees that each event is seen at least once by consumers but does not prevent duplicate processing, requiring external tracking by consumers.
Taming the rabbit
Taming the rabbitAlvaro Videla This document discusses RabbitMQ plugins. It begins with background on RabbitMQ and an overview of its extensibility through a plugin system. It then provides examples of how plugins can add new protocols, authentication mechanisms, custom message stores, and more. The document also discusses how to develop plugins, including environment setup, file structure, boot process integration, and managing plugins. It emphasizes that plugins run in the same Erlang process as the broker and can potentially crash it, so testing is important.
Implementeer een Service Orchestrated Architecture
Implementeer een Service Orchestrated ArchitecturePeter Paul van de Beek Presentatie (case study) van onze eerste SOA implementatie in 2005.
Morning at Lohika - Spring Boot Kotlin, a match made in Heaven
Morning at Lohika - Spring Boot Kotlin, a match made in HeavenNicolas Fränkel The document discusses how Kotlin and Spring Boot are well integrated for developing applications. It provides an overview of Kotlin features like null safety and extensions, and how these improve on Java. It also discusses how Spring Boot works well with Kotlin's conventions. The document then shares details of a project to migrate a blog from XML to Markdown files using Kotlin and Spring Boot features like expression body methods and properties.
Introduction to Law & Government
Introduction to Law & GovernmentHelensvale State High School The document provides an overview of key concepts related to the Australian legal system and government. It defines important legal terms, explains the hierarchy of courts and distinction between different types of laws. It also discusses why laws are needed in society and how the legal system aims to be just, enforceable and acceptable to communities. The legal system is connected to the federal, state and local governments who are responsible for making and reforming laws in Australia's democratic system.
Microservices With SenecaJS
Microservices With SenecaJSDesignveloper The document discusses the microservices architecture, its benefits such as faster deployments and improved fault isolation, and drawbacks like increased network communication and complexity. It introduces SenecaJS, a framework for building microservices, and demonstrates its use with RabbitMQ and AMQP transport. Additionally, it highlights key factors to consider when building a microservices system, as well as a package called 'servicebase' that offers multiple functionalities and configuration options.
Microservices with SenecaJS (part 2)
Microservices with SenecaJS (part 2)Designveloper The document discusses microservices architecture using SenecaJS, RabbitMQ, Docker, and other tools. It covers setting up RabbitMQ with Docker, using SenecaJS's pattern matching and transport capabilities including AMQP transport with RabbitMQ, running services in Docker containers or with PM2, using Consul for service discovery and configuration, and implementing authentication with JWT. The presentation includes demos and discusses testing and other topics related to building microservices.
Tutorial su JMS (Java Message Service)
Tutorial su JMS (Java Message Service)Federico Paparoni Java Message Service (JMS) è un insieme di API che facilita la comunicazione asincrona tra applicazioni Java distribuite. JMS supporta modelli di messaggistica come point-to-point e publish/subscribe, consentendo l'invio e la ricezione di messaggi senza la necessità che mittente e destinatario siano disponibili contemporaneamente. Sebbene JMS garantisca un'affidabile consegna dei messaggi, non include funzionalità come load balancing, notifica degli errori o sicurezza.
Fi fo euc 2014
Fi fo euc 2014Licenser The document details the author's experiences building a cloud orchestration project called FIFO using Erlang and SmartOS, highlighting various challenges faced with different technologies like ClojureScript. Key learnings include the complexities of managing dependencies, the limitations of HTTP in handling modular applications, and the difficulties of distributed systems and JSON data storage. The author emphasizes the importance of planning, modularization, and understanding the trade-offs of eventual consistency in cloud computing.
The Kitchen Cloud How To: Automating Joyent SmartMachines with Chef
The Kitchen Cloud How To: Automating Joyent SmartMachines with ChefChef Software, Inc. This document discusses using Chef on SmartOS to automate configuration of servers provisioned on the Joyent cloud platform. It provides an overview of SmartOS and Joyent, explains how to install and configure the knife-joyent plugin to manage servers, and describes useful cookbooks and resources for configuring services and system settings on SmartOS.
BayLISA meetup: 8/16/12
BayLISA meetup: 8/16/12bcantrill The document summarizes Joyent's work with SmartOS over the past year, including making SmartOS available with KVM virtualization, extending core illumos technologies like Zones and DTrace, focusing on Node.js applications, and integrating Node.js with SmartOS technologies. It also discusses the growing SmartOS community, with tens of thousands of downloads and some serious production use, and outlines the topics to be covered at an upcoming SmartOS meetup.
Chef on SmartOS
Chef on SmartOSEric Saxby This document discusses using Chef on SmartOS. It begins with an introduction to the speaker and their company Wanelo. It then provides an overview of SmartOS and zones, and explains benefits like ZFS, visibility tools, and lower latency. The document discusses using the knife-joyent plugin to manage SmartOS servers from Chef, including creating servers, listing servers, and managing keys. It notes some differences in SmartOS like package and service management. Finally it discusses useful LWRPs and cookbooks for using Chef on SmartOS.
SmartOS ZFS Architecture
SmartOS ZFS ArchitectureBill Pijewski ZFS is a copy-on-write filesystem that provides data integrity and reliability. SmartOS uses ZFS to create a single storage pool from which datasets like filesystems and volumes are allocated for virtual machines and zones. This allows SmartOS to netboot from a USB key while hosting all OSes, applications, and tenant data on the same ZFS pool for easy upgrades, backups, and administration on a per-tenant basis.
RabbitMq
RabbitMqAhmad Saif This document discusses RabbitMQ, an open source message broker. It provides the following key points:
1. RabbitMQ accepts messages from publishers and forwards them to queues for consumers to receive asynchronously. This decouples publishers and consumers and provides load balancing and scalability.
2. RabbitMQ supports message durability, routing, clustering for high availability, and has clients for many platforms. It uses AMQP for communication and has a management UI.
3. In RabbitMQ, publishers connect to exchanges, which route messages to queues based on bindings and exchange type (direct or fanout). Consumers then pull messages from queues. This asynchronous queuing approach allows distributed applications over heterogeneous platforms.
Где живут Ваши объявления / Тюрин Михаил (Avito)
Где живут Ваши объявления / Тюрин Михаил (Avito)Ontico Документ описывает архитектуру и эволюцию IT-системы компании Avito, включая данные о ее росте, технические характеристики и важные аспекты проектирования. Приводятся различные технические метрики и информация о применяемых технологиях, таких как кэширование и распределенные системы. Автор призывает применять проверенные архитектурные подходы и инструменты для решения задач компании.
OpenStack on SmartOS
OpenStack on SmartOSDaniele Stroppa OpenStack on SmartOS allows running OpenStack on the SmartOS hypervisor platform. SmartOS provides an efficient and secure hypervisor through its use of zones, KVM, ZFS, and DTrace. The presentation outlines work to integrate OpenStack Nova compute and network services with SmartOS, with plans to integrate Quantum network virtualization and leverage ZFS and DTrace for monitoring. The goal is to provide an optimized OpenStack deployment on SmartOS' efficient and flexible virtualization architecture.
JMS - Java Messaging Service
JMS - Java Messaging ServicePeter R. Egli The document provides an overview of the Java Message Service (JMS), detailing its purpose as an API for asynchronous message exchange between Java applications and its various messaging domains such as point-to-point and publish-subscribe. It explains the JMS architecture, programming model, and key concepts including message production and consumption, receive modes, and robustness features like message acknowledgment and transactions. Additionally, the document discusses integration with Enterprise JavaBeans (EJB) and the Java Naming and Directory Interface (JNDI), concluding with information about JMS 2.0.
Ad
Similar to Integrating PostgreSql with RabbitMQ (20)
On Rabbits and Elephants
On Rabbits and ElephantsGavin Roy The document discusses using RabbitMQ and pg_amqp to distribute data from PostgreSQL databases. It describes setting up RabbitMQ and pg_amqp to publish data from triggers on tables in a PostgreSQL database. When data is inserted, updated, or deleted in a table, the trigger will publish a message on RabbitMQ. A Python script acts as a consumer that connects to RabbitMQ and another PostgreSQL database. It listens for messages, determines the SQL to execute based on the event type, and runs the SQL on the other database to keep the data in sync across the databases. The document provides an example using pgbench for the data and demonstrates publishing and consuming messages.
Messaging Standards and Systems - AMQP & RabbitMQ
Messaging Standards and Systems - AMQP & RabbitMQPOSSCON The document provides an overview of the Advanced Message Queuing Protocol (AMQP) and RabbitMQ, detailing their features, timeline, components, and common usage patterns. It discusses various versions of AMQP, key terms such as brokers, producers, and consumers, and how RabbitMQ offers multi-protocol support and clustering capabilities. The document also touches on configuration management, performance concerns, and common plugins that enhance RabbitMQ's functionality.
Messaging Standards and Systems - AMQP & RabbitMQ
Messaging Standards and Systems - AMQP & RabbitMQAll Things Open The document discusses the Advanced Message Queuing Protocol (AMQP) and RabbitMQ, detailing their architecture, features, and usage. It highlights the evolution of AMQP, its various standards, and implementations, along with the benefits of using RabbitMQ for message queuing and system integration. Additionally, it covers common terms, performance considerations, and configurations relevant to RabbitMQ deployment.
Enterprise Messaging with RabbitMQ.pdf
Enterprise Messaging with RabbitMQ.pdfOrtus Solutions, Corp This document provides an overview of enterprise messaging with RabbitMQ presented by Luis Majano. It begins with introductions and then outlines the agenda which includes why messaging is useful, different messaging implementations and protocols like AMQP, and a demonstration of RabbitMQ. The bulk of the document discusses messaging paradigms and concepts like producers, consumers, exchanges and queues. It explains RabbitMQ exchanges like direct, fanout and topic in more detail and provides examples of how RabbitMQ can be used in different customer use cases.
Rabbitmq & Postgresql
Rabbitmq & PostgresqlLucio Grenzi The document presents an overview of RabbitMQ and PostgreSQL integration, focusing on message-oriented middleware (MOM) and the Advanced Message Queuing Protocol (AMQP). It discusses various messaging protocols, including STOMP and MQTT, and details the implementation of the pg_amqp extension for PostgreSQL, which enables communication between PostgreSQL and messaging systems. It also explains the setup, usage, and the PostgreSQL listen exchange feature that translates PostgreSQL notifications into AMQP messages.
High powered messaging with RabbitMQ
High powered messaging with RabbitMQJames Carr Messaging can be used to integrate different systems and applications to work together by transferring data packets asynchronously using customizable formats. It allows for decoupling of publishers and subscribers. RabbitMQ is an open source message broker that implements the AMQP standard for high performance messaging. It can be used from Java applications using the RabbitMQ client library, Apache Camel AMQP component, or Spring AMQP framework.
Pass the message with RabbitMQ
Pass the message with RabbitMQAnders Ljusberg The document discusses using RabbitMQ for messaging patterns within microservices, highlighting work queues, publish-subscribe, and routing mechanisms such as direct and topic exchanges. It also provides instructions for setting up RabbitMQ, managing message states with dead letter exchanges, and references frameworks like MassTransit and EasyNetQ. Various concepts such as message TTL, error handling, and the benefits of utilizing message queues for asynchronous communication are also covered.
Follow the White Rabbit - Message Queues with PHP
Follow the White Rabbit - Message Queues with PHPEric Rodriguez (Hiring in Lex) The document discusses the fundamentals of message queues, specifically focusing on RabbitMQ and the Advanced Message Queuing Protocol (AMQP). It outlines various exchange types, use cases for message queues, PHP implementations, and describes messaging patterns such as work queues, publish/subscribe, and remote procedure calls (RPC). Additionally, it provides references and resources for further exploration of RabbitMQ and messaging concepts.
Reducing load with RabbitMQ
Reducing load with RabbitMQPovilas Balzaravičius The talk by Povilas Balzaravičius discusses optimizing product sorting on boozt.com using RabbitMQ, highlighting the challenges faced with large item categories and the implementation of an 'autosort' feature. Autosort was beneficial for managing product visibility and performance, which was further enhanced by leveraging RabbitMQ for asynchronous processing and scaling. Key insights include the architecture of RabbitMQ, its messaging patterns, and the impact of these optimizations on overall sorting times.
Adding 1.21 Gigawatts to Applications with RabbitMQ (DPC 2015)
Adding 1.21 Gigawatts to Applications with RabbitMQ (DPC 2015)James Titcumb The document provides a comprehensive overview of RabbitMQ, including its installation, basic message queueing concepts, and different types of exchanges such as fanout, direct, and topic. It also addresses real-world use cases, message acknowledgment, and methods for clustering RabbitMQ to enhance reliability and processing capabilities. Additionally, the document discusses advanced features like priority queues and delayed message scheduling.
Adding 1.21 Gigawatts to Applications with RabbitMQ (PHP UK 2015)
Adding 1.21 Gigawatts to Applications with RabbitMQ (PHP UK 2015)James Titcumb This document summarizes a presentation titled "Adding 1.21 Gigawatts to Applications with RabbitMQ" given by James Titcumb at the PHP UK Conference 2015. The presentation introduces message queueing and background processing using RabbitMQ. It demonstrates how to install and use RabbitMQ for basic queuing with a producer and consumer. It also covers more advanced RabbitMQ concepts like fanout, direct, and topic exchanges as well as clustering for high availability and scaling. Real-world examples are provided and the slides can be accessed on GitHub for hands-on learning.
CBDW2014 - Down the RabbitMQ hole with ColdFusion
CBDW2014 - Down the RabbitMQ hole with ColdFusionOrtus Solutions, Corp The document details a presentation by Luis Majano on using RabbitMQ with ColdFusion, covering topics such as messaging patterns, RPC calls, and the AMQP protocol. It highlights the benefits of messaging for application decoupling, scalability, and cross-platform compatibility, as well as discussing various messaging implementations like RabbitMQ. The presentation also includes technical aspects of RabbitMQ operations and provides resources for further learning.
Multi-platform Enterprise Messaging with RabbitMQ
Multi-platform Enterprise Messaging with RabbitMQOrtus Solutions, Corp Luis Majano discusses the importance of multi-platform enterprise messaging with RabbitMQ, addressing issues with traditional RPC and the benefits of asynchronous messaging. He highlights microservices as a solution for decoupling systems and enhancing integration, emphasizing scalability and flexibility across various technologies. The presentation details RabbitMQ's functionality, concepts like producers, consumers, queues, and exchanges, and provides insights into messaging patterns and protocols.
Easy enterprise application integration with RabbitMQ and AMQP
Easy enterprise application integration with RabbitMQ and AMQPRabbit MQ The document presents an overview of the Advanced Message Queuing Protocol (AMQP) and RabbitMQ, an open-source messaging implementation. It discusses features, advantages, and technical aspects of AMQP, including examples of messaging use cases and the benefits of using Erlang for development. Additionally, it highlights the potential of RabbitMQ for high availability and scalability in messaging solutions, particularly in large-scale applications like the Unique Identification Authority of India (UIDAI).
Enterprise messaging
Enterprise messagingColdFusionConference This document discusses decoupling applications and scaling with enterprise messaging. It introduces messaging concepts like producers, consumers, and message brokers. It focuses on the AMQP protocol and RabbitMQ as a messaging implementation. Key points covered include RPC vs messaging styles, decoupling applications, cross-platform communication, and load balancing. The presenter demonstrates a messaging example using Java, CFML, Node.js, and JavaScript producers and consumers communicating via a RabbitMQ broker.
Adding 1.21 Gigawatts to Applications with RabbitMQ (PHP Oxford June Meetup 2...
Adding 1.21 Gigawatts to Applications with RabbitMQ (PHP Oxford June Meetup 2...James Titcumb The document provides a comprehensive guide on using RabbitMQ with PHP, covering installation, message queuing, and various exchange types including fanout, direct, and topic exchanges. It discusses practical applications such as background processing, message acknowledgment, and service-oriented architecture (SOA), along with solutions for clustering and high availability. The guide includes code snippets for producers and consumers, as well as advanced features like message TTL and dead-letter exchanges.
Data Migration at Scale with RabbitMQ and Spring Integration
Data Migration at Scale with RabbitMQ and Spring IntegrationAlvaro Videla This document discusses data migration at scale using RabbitMQ and Spring Integration. It introduces Álvaro Videla, a developer advocate at Pivotal and co-author of RabbitMQ in Action. It then provides an overview of RabbitMQ, including that it is a multi-protocol messaging server, open source, polyglot, and written in Erlang. It also summarizes some key features of RabbitMQ such as persistent messages, publisher confirms, and dead letter exchanges.
Multiply like rabbits with rabbit mq
Multiply like rabbits with rabbit mqColdFusionConference This document discusses using RabbitMQ for messaging between applications. It begins with an introduction to the presenter and agenda. It then contrasts traditional RPC-style calls with messaging and covers some benefits of messaging like decoupling and flexibility. Common messaging patterns like publish/subscribe, topics, and work queues are introduced. The AMQP protocol and RabbitMQ implementation are explained. Finally, a demo of RabbitMQ is promised and questions are solicited.
Multiply like rabbits with rabbit mq
Multiply like rabbits with rabbit mqdevObjective This document discusses using RabbitMQ for messaging between applications. It begins with an introduction to the presenter and agenda. It then contrasts traditional RPC-style calls with messaging and covers some benefits of messaging like decoupling and flexibility. Common messaging patterns like publish/subscribe, topics, and work queues are introduced. The AMQP protocol and RabbitMQ implementation are explained. Finally, a demo of RabbitMQ is promised along with Q&A.
Message Broker System and RabbitMQ
Message Broker System and RabbitMQUniversity of Alabama at Birmingham RabbitMQ is an open-source message broker that implements the Advanced Message Queuing Protocol (AMQP), facilitating communication between software applications by accepting and forwarding messages. It provides features such as reliability, flexible routing, and asynchronous processing, with examples including work queues and publish/subscribe systems. The document outlines basic usage examples and setup instructions for RabbitMQ, along with references for further learning.
Ad
Recently uploaded (20)
美国毕业证范本中华盛顿大学学位证书CWU学生卡购买
美国毕业证范本中华盛顿大学学位证书CWU学生卡购买Taqyea 1:1原版中华盛顿大学毕业证+CWU成绩单【Q微:1954 292 140】鉴于此，CWUdiploma中华盛顿大学挂科处理解决方案CWU毕业证成绩单专业服务学历认证【Q微:1954 292 140】办理教育部学历认证，留学回国证明，中华盛顿大学毕业证、中华盛顿大学成绩单、中华盛顿大学文凭（留信学历认证+永久存档查询）办理本科+硕士+博士毕业证成绩单学历认证，我们一直是留学生的首选，质量行业第一，诚信可靠。
【中华盛顿大学成绩单一站式办理专业技术完美呈现Central Washington University Transcripts】
购买日韩成绩单、英国大学成绩单、美国大学成绩单、澳洲大学成绩单、加拿大大学成绩单（q微1954292140）新加坡大学成绩单、新西兰大学成绩单、爱尔兰成绩单、西班牙成绩单、德国成绩单。成绩单的意义主要体现在证明学习能力、评估学术背景、展示综合素质、提高录取率，以及是作为留信认证申请材料的一部分。
中华盛顿大学成绩单能够体现您的的学习能力，包括中华盛顿大学课程成绩、专业能力、研究能力。（q微1954292140）具体来说，成绩报告单通常包含学生的学习技能与习惯、各科成绩以及老师评语等部分，因此，成绩单不仅是学生学术能力的证明，也是评估学生是否适合某个教育项目的重要依据！
【主营项目】
一.毕业证【q微1954292140】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
Lesson-3_Program-Outcomes-and-Student-Learning-Outcomes_For-Students.pdf
Lesson-3_Program-Outcomes-and-Student-Learning-Outcomes_For-Students.pdfSarahMaeDuallo tendency and variability. Data visualization techniques.
英国毕业证范本利物浦约翰摩尔斯大学成绩单底纹防伪LJMU学生证办理学历认证
英国毕业证范本利物浦约翰摩尔斯大学成绩单底纹防伪LJMU学生证办理学历认证 taqyed LJMU利物浦约翰摩尔斯大学毕业证书多少钱【q薇1954292140】1:1原版利物浦约翰摩尔斯大学毕业证+LJMU成绩单【q薇1954292140】完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。
【主营项目】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理毕业证|办理文凭: 买大学毕业证|买大学文凭【q薇1954292140】学位证明书如何办理申请？
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理利物浦约翰摩尔斯大学毕业证|LJMU成绩单【q薇1954292140】国外大学毕业证, 文凭办理, 国外文凭办理, 留信网认证
三.材料咨询办理、认证咨询办理请加学历顾问【微信:1954292140】毕业证购买指大学文凭购买，毕业证办理和文凭办理。学院文凭定制，学校原版文凭补办，扫描件文凭定做，100%文凭复刻。
Data Visualisation in data science for students
Data Visualisation in data science for studentsconfidenceascend Data visualisation is explained in a simple manner.
Flextronics Employee Safety Data-Project-2.pptx
Flextronics Employee Safety Data-Project-2.pptxkilarihemadri This PPT are using to show employee safety
Artigo - Playing to Win.planejamento docx
Artigo - Playing to Win.planejamento docxKellyXavier15 Excelente artifo para quem está iniciando processo de aquisiçãode planejamento estratégico
最新版美国芝加哥大学毕业证（UChicago毕业证书）原版定制
最新版美国芝加哥大学毕业证（UChicago毕业证书）原版定制taqyea 2025原版芝加哥大学毕业证书pdf电子版【q薇1954292140】美国毕业证办理UChicago芝加哥大学毕业证书多少钱？【q薇1954292140】海外各大学Diploma版本，因为疫情学校推迟发放证书、证书原件丢失补办、没有正常毕业未能认证学历面临就业提供解决办法。当遭遇挂科、旷课导致无法修满学分，或者直接被学校退学，最后无法毕业拿不到毕业证。此时的你一定手足无措，因为留学一场，没有获得毕业证以及学历证明肯定是无法给自己和父母一个交代的。
【复刻芝加哥大学成绩单信封,Buy The University of Chicago Transcripts】
购买日韩成绩单、英国大学成绩单、美国大学成绩单、澳洲大学成绩单、加拿大大学成绩单（q微1954292140）新加坡大学成绩单、新西兰大学成绩单、爱尔兰成绩单、西班牙成绩单、德国成绩单。成绩单的意义主要体现在证明学习能力、评估学术背景、展示综合素质、提高录取率，以及是作为留信认证申请材料的一部分。
芝加哥大学成绩单能够体现您的的学习能力，包括芝加哥大学课程成绩、专业能力、研究能力。（q微1954292140）具体来说，成绩报告单通常包含学生的学习技能与习惯、各科成绩以及老师评语等部分，因此，成绩单不仅是学生学术能力的证明，也是评估学生是否适合某个教育项目的重要依据！
我们承诺采用的是学校原版纸张（原版纸质、底色、纹路）我们工厂拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有成品以及工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！
【主营项目】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理毕业证|办理文凭: 买大学毕业证|买大学文凭【q薇1954292140】芝加哥大学学位证明书如何办理申请？
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理美国成绩单芝加哥大学毕业证【q薇1954292140】国外大学毕业证, 文凭办理, 国外文凭办理, 留信网认证
Starbucks in the Indian market through its joint venture.
Starbucks in the Indian market through its joint venture.sales480687 This topic focuses on the growth and challenges of Starbucks in the Indian market through its joint venture with Tata. It covers localization strategies, menu adaptations, expansion goals, and financial performance. The topic also examines consumer perceptions, market competition, and how Starbucks navigates economic and cultural factors in one of its most promising international markets.
Boost Business Efficiency with Professional Data Entry Services
Boost Business Efficiency with Professional Data Entry Serviceseloiacs eloiacs Boost Business Efficiency with Professional Data Entry Services
In today’s digital-first world, businesses generate and handle massive amounts of data every day — customer records, sales data, inventory logs, survey results, and much more. But raw data has no value unless it is well-organized, accurate, and easily accessible. That’s where professional data entry services come in.
By outsourcing data entry tasks to experts, businesses can streamline operations, reduce manual errors, and improve overall efficiency — while focusing their internal resources on core activities like growth and customer engagement.
What Are Data Entry Services?
Data entry services refer to the process of converting information from various formats (handwritten, scanned, PDF, image, or audio) into structured, digital formats such as Excel sheets, CRM databases, or cloud storage systems. This work may be done online or offline, manually or using automation tools, depending on the client’s requirements.
Popular Data Entry Services Include:
Manual data entry from paper documents or scanned files
Online data entry directly into websites, forms, or portals
Offline data entry in formats like MS Word, Excel, or custom software
Product data entry for eCommerce platforms like Shopify, Amazon, and Flipkart
Document and image conversion into editable formats
Data cleansing and validation to remove duplicates and fix errors
Remote data entry support for real-time operations
CRM and ERP data management
These services are essential for organizing business data and making it usable for analysis, reporting, and decision-making.
Who Can Benefit from Data Entry Services?
Outsourcing data entry is not limited to any one industry — it's a universal need for businesses of all types and sizes. Here are some examples:
eCommerce Businesses – For managing product catalogs, inventory updates, pricing, and customer orders.
Healthcare Providers – For digitizing patient records, prescriptions, and insurance documents.
Education Institutes – To maintain student records, exam results, and staff data.
Financial Services – For processing invoices, bank statements, transaction records.
Real Estate Companies – To handle property listings, legal paperwork, client records.
Research & Marketing Firms – To compile survey data, leads, and analytics reports.
Even startups and freelancers often require virtual data entry services to stay organized and competitive.
Top Benefits of Outsourcing Data Entry Services
Outsourcing data entry work to a professional company or virtual assistant offers multiple benefits — whether you're running a small business or managing a large enterprise.
1. Reduced Costs
Maintaining an in-house data entry team means salaries, hardware, training, and software expenses. Outsourcing eliminates these costs and provides flexible, pay-as-you-go solutions.
The Influence off Flexible Work Policies
The Influence off Flexible Work Policiessales480687 This topic explores how flexible work policies—such as remote work, flexible hours, and hybrid models—are transforming modern workplaces. It examines the impact on employee productivity, job satisfaction, work-life balance, and organizational performance. The topic also addresses challenges such as communication gaps, maintaining company culture, and ensuring accountability. Additionally, it highlights how flexible work arrangements can attract top talent, promote inclusivity, and adapt businesses to an evolving global workforce. Ultimately, it reflects the shift in how and where work gets done in the 21st century.
YEAP !NOT WHAT YOU THINK aakshdjdncnkenfj
YEAP !NOT WHAT YOU THINK aakshdjdncnkenfjpayalmistryb Skdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnneodnrodndocndodnd0dndjxoxnxndkxnxkdndkxndkdjndnrnidnroz doendodnrodnxkdnrocngksjrndkdnr dnkxnddnkxndnrkdnxnxkdSkdnne
624753984-Annex-A3-RPMS-Tool-for-Proficient-Teachers-SY-2024-2025.pdf
624753984-Annex-A3-RPMS-Tool-for-Proficient-Teachers-SY-2024-2025.pdfCristineGraceAcuyan The little toys
Integrating PostgreSql with RabbitMQ
- 1. Integrating PostgreSQL with RabbitMQ Gavin M. Roy April 4th, 2014
- 2. About Me VP of Architecture AWeber Communications ! Blog: http://gavinroy.com Twitter: @Crad GitHub: https://github.com/gmr ! RabbitMQ in Depth (MEAP) http://manning.com/roy
- 4. About RabbitMQ • Message Oriented Middleware • Primary identity is defined by AMQP 0-9-1 • Supports other protocols with Plugins: AMQP 1.0, HTTP, MQTT, STOMP, XMPP, UDP, WebStomp, and more • Written in Erlang/OTP, is Open Source (MPL), and is developed/maintained by Pivotal
- 5. Why RabbitMQ? • Create loosely coupled architectures • Decouple database write operations • Communicate across application platforms • Tap into pre-existing message flow for new purposes • Scale-out clustering for growth, throughput & HA • Federation for WAN latencies & network partitions
- 6. Native AMQP Clients C Clojure Cobol Common Lisp Delphi Erlang Go Groovy Haskell Java JavaScript .NET OCaml Perl PHP Python Ruby Scala
- 7. Who Uses It? Agora Games Chef Google AdMob Instagram MeetMe Mercado Libre Mozilla Nasa New York Times NSF Openstack Reddit
- 14. AMQ Model Exchange defines routing behavior Queue stores messages in memory and optionally on disk Binding defines relationship between exchanges and queues X Queue Binding
- 15. Routing Keys • Provided when publishing a message • Compared against binding keys by exchanges • Example uses of a Routing Key: • Connotate the type of message • Designate the destination of a message • Categorize the content in the message
- 16. Built-In Exchange Types Direct String matching on Routing Key Fanout No routing key, messages sent to all bound queues Topic Pattern matching in Routing Key Headers No routing key, string matching in the message headers property
- 17. Topic Exchange Binding Keys namespace.delimited.keys # Receive all messages namespace.# Receive all messages in the namespace namespace.delimited.* Receive all namespace.delimited messages namespace.*.keys Receive all namespace messages ending in keys
- 18. Example Exchange Plugins Consistent Hashing Distribute messages via routing key hashed value Pulse Publish internal RabbitMQ metrics via AMQP Random Distribute messages across all bound queues randomly Recent History Stores last 20 messages to any bound queue Riak Storage Store received messages in Riak" Script Exchange Calls out to external scripts for routing behavior
- 19. Exchange to Exchange Bindings X X X Queue Queue Queue
- 20. to RabbitMQ
- 21. pg_amqp • PostgreSQL Extension • User-defined functions to publish via AMQP • Developed by OmnTI • Invoke from user-defined function • Available on PGXN
- 22. Using pg_amqp • Has table of AMQP broker connections • Publishes body only AMQP messages • Transactional publishing via amqp.publish • Non-transactional via amqp.autonomous_publish • Needs some love for additional features
- 24. PgSQL Listen Exchange • Exchange that issues LISTEN and publishes received notifications to bound queues • When routing messages, bindings are checked for the routing key to match the NOTIFY channel • Unobtrusive to PostgreSQL environment, native constructs for publishing messages • Requires PostgreSQL 9.0 and greater • Body only messages*
- 25. Sending a Notification psql (9.3.2) Type "help" for help. ! postgres=# timing Timing is on. postgres=# NOTIFY channel_name, ‘Test notification'; NOTIFY Time: 0.160 ms
- 26. Receiving a Notification psql (9.3.2) Type "help" for help. ! postgres=# LISTEN channel_name; ! (after NOTIFY issued) ! Asynchronous notification "channel_name" with payload "Test notification" received from server process with PID 16749.
- 29. to PostgreSQL
- 30. No direct integrations yet
- 31. Chapter 14 Creating a pgsql-storage RabbitMQ plugin
- 32. Other ways? via Consumer apps in the language of your choice via Apache Flume with RabbitMQ Source, PostgreSQL Sink
- 33. Questions? rabbitmq-pgsql-listen-exchange https://github.com/aweber/rabbitmq-pgsql-listen-exchange pg_ampq http://pgxn.org/dist/pg_amqp/ RabbitMQ in Depth 44% off code pgcf (includes other books as well) http://manning.com/roy/ Follow me on Twitter @Crad