Managing Postgres at Scale With Postgres Enterprise Manager
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The document provides an overview of managing PostgreSQL databases at scale using PostgreSQL Enterprise Manager (PEM), which includes features such as 24/7 monitoring, alerting, and management tools integrated into a single solution. It discusses the architecture of PEM, including its server components, agents for monitoring multiple instances, and a user interface based on pgAdmin 4, along with the implementation of role-based access controls for user management. Additionally, it emphasizes the importance of management by exception and scaling both infrastructure and the management team to effectively handle large numbers of servers and diverse user roles.
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Migre sus bases de datos Oracle a la nube
Migre sus bases de datos Oracle a la nube EDB The document discusses the considerations for migrating Oracle databases to the cloud, highlighting available services across major cloud providers including Oracle Cloud Infrastructure and AWS. It emphasizes the popularity of PostgreSQL as a flexible and extensible alternative, detailing the complexities involved in database migration and the expertise of EDB in facilitating this transition. EDB offers tools and services that support Oracle compatibility, aiming to simplify the migration process for users moving to a fully managed PostgreSQL cloud service.
EFM Office Hours - APJ - July 29, 2021
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Benchmarking Cloud Native PostgreSQL
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Las Variaciones de la Replicación de PostgreSQLEDB El documento aborda las variaciones de la replicación en PostgreSQL, incluyendo métodos como la replicación física y lógica, así como técnicas de monitoreo y failover automático. Se destacan conceptos como la replicación asíncrona y síncrona, así como la importancia de la resistencia a fallas y la escalabilidad. Además, se menciona la influencia del open source en la creatividad y comunidad en el ámbito musical y de desarrollo.
NoSQL and Spatial Database Capabilities using PostgreSQL
NoSQL and Spatial Database Capabilities using PostgreSQLEDB The document discusses the NoSQL and spatial database capabilities of PostgreSQL, highlighting its extensibility, support for JSON, and the use of foreign data wrappers for integrating with other data sources. It covers specific features such as hstore for key-value storage and PostGIS for geospatial data, emphasizing PostgreSQL's capability to handle both structured and unstructured data. The text argues that PostgreSQL combines the benefits of relational and NoSQL databases, offering a flexible solution for modern data management needs.
Is There Anything PgBouncer Can’t Do?
Is There Anything PgBouncer Can’t Do?EDB The document is a detailed guide on the use and configuration of PgBouncer, a lightweight connection pooler for PostgreSQL. It covers the advantages of using PgBouncer, options for scaling, load balancing, silent failover, and protection against denial of service attacks. Additionally, it provides installation and configuration instructions, as well as insights on routing read and write traffic effectively.
Data Analysis with TensorFlow in PostgreSQL
Data Analysis with TensorFlow in PostgreSQLEDB The document discusses the integration of PostgreSQL, PL/Python3, and TensorFlow for data analysis. It covers various analysis techniques such as regression and time series analysis, as well as how to prepare data and create machine learning models. Additionally, it provides practical instructions on setting up the necessary software and environment to implement these techniques effectively.
Practical Partitioning in Production with Postgres
Practical Partitioning in Production with PostgresEDB The document discusses the importance and methods of partitioning in PostgreSQL, highlighting historical improvements and practical applications. It covers partitioning techniques, including range, list, and hash methods, and outlines a step-by-step process to implement partitioning in a production environment with large tables. Key considerations such as performance, maintenance, and the selection of partition keys are also emphasized for optimizing database management.
A Deeper Dive into EXPLAIN
A Deeper Dive into EXPLAINEDB Michael Christofides discusses advanced techniques for interpreting PostgreSQL's EXPLAIN output, focusing on non-intuitive arithmetic and common issues such as loops, index scans, and inefficient data handling. He emphasizes the importance of understanding execution statistics, including costs, rows, and timings, while offering guidance on using tools for better analysis. The document concludes with recommendations for further reading and highlights the relevance of issues like filters, lossy bitmap scans, and performance optimizations.
IOT with PostgreSQL
IOT with PostgreSQLEDB This document provides an overview of using PostgreSQL for IoT applications. Chris Ellis discusses why PostgreSQL is a good fit for IoT due to its flexibility and extensibility. He describes various ways of storing, loading, and processing IoT time series and sensor data in PostgreSQL, including partitioning, batch loading, and window functions. The document also briefly mentions the TimescaleDB extension for additional time series functionality.
A Journey from Oracle to PostgreSQL
A Journey from Oracle to PostgreSQLEDB The document describes a migration from an Oracle database topology to a PostgreSQL database topology at ACI. It discusses the starting Oracle topology with issues around operational complexity and non-ACID compliance. It then describes the target PostgreSQL topology with improved performance, availability and lower costs. The document outlines decisions around tools, extensions, code changes and testing approaches needed for the migration. It also discusses options for migrating the data and cutting over to the new PostgreSQL environment.
Psql is awesome!
Psql is awesome!EDB The document provides an introduction to using the psql command line tool for interacting with PostgreSQL databases. It explains how to connect to a database, perform basic queries, explain query plans, and get information about tables, schemas, and users.
EDB 13 - New Enhancements for Security and Usability - APJ
EDB 13 - New Enhancements for Security and Usability - APJEDB The document discusses the new features and enhancements in EDB Postgres Advanced Server 13, focusing on usability, security, and compatibility improvements. Key updates include automatic partitioning, enhanced backup and recovery tools, and support for new database functionalities that enhance performance and security. Additionally, it covers EDB's tools for database management and monitoring, aiming to improve administrative productivity and facilitate migration from Oracle databases.
Comment sauvegarder correctement vos données
Comment sauvegarder correctement vos donnéesEDB Le document présente des stratégies pour sauvegarder correctement les données, en abordant les concepts de pertes de données, d'exportation logique, de configurations de standby, de snapshots et de sauvegardes physiques. Il souligne l'importance de la restauration régulière et de la gestion des fichiers WAL pour minimiser la perte de données. Les diverses méthodes de sauvegarde sont comparées en termes de portabilité, de rapidité d'accès et de potentiel de perte de données.
Cloud Native PostgreSQL - Italiano
Cloud Native PostgreSQL - ItalianoEDB Il documento discute la trasformazione verso un'architettura cloud native utilizzando Kubernetes, concentrandosi sull'integrazione di PostgreSQL in tale contesto. Viene presentata la cultura DevOps e i principi di gestione dei container, evidenziando l'importanza di una mentalità orientata ai container e alle applicazioni immutabili. Inoltre, il testo esplora le caratteristiche e i benefici di Cloud Native PostgreSQL, sottolineando le pratiche di orchestrazione e gestione del database in ambienti Kubernetes.
Best Practices in Security with PostgreSQL
Best Practices in Security with PostgreSQLEDB The document outlines best practices for securing PostgreSQL databases, emphasizing the importance of data security against unauthorized access, data breaches, and corruption. It provides recommendations on authentication, authorization, auditing, and encryption, along with a detailed model for implementing these practices effectively. Additionally, the conclusion stresses a layered security approach and references resources for further guidance on PostgreSQL security measures.
Cloud Native PostgreSQL - APJ
Cloud Native PostgreSQL - APJEDB The document discusses the integration of PostgreSQL with Kubernetes, outlining the capabilities and architectures involved in managing databases in a cloud-native environment. It introduces Gabriele Bartolini and highlights EDB's position as a leader in PostgreSQL innovation through its operator for Kubernetes, which automates deployment, configuration, and management of PostgreSQL clusters. Key features include self-healing capabilities, support for persistent volumes, and a focus on security and performance, emphasizing the benefits of using local storage for enhanced database performance.
Best Practices in Security with PostgreSQL
Best Practices in Security with PostgreSQLEDB The document outlines best practices for security in PostgreSQL, emphasizing aspects such as authentication, authorization, auditing, and data encryption. It provides general recommendations to maintain data security, including keeping systems updated, applying the least privilege principle, and implementing robust auditing and encryption methods. The presentation also covers SQL injection prevention and stresses the importance of a layered security approach to protect database integrity.
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Managing Postgres at Scale With Postgres Enterprise Manager
- 1. © Copyright EnterpriseDB Corporation, 2019. All rights reserved. Managing Postgres At Scale With Postgres Enterprise Manager Dave Page VP & Chief Software Architect, Tools & Installers PostgreSQL Core Team 1
- 2. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.2 WHO AM I? • EDB: • VP & Chief Architect: • Tools • Cloud products • Configuration management • Packaging/distribution • PostgreSQL: • Core team member • pgAdmin lead developer • Web/sysadmin teams • PGCAC/PGEU board member • Dave Page • @pgsnake • [email protected] • [email protected] • https://pgsnake.blogspot.com/
- 3. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.3 WHAT IS PEM?
- 4. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.4 HIGH LEVEL OVERVIEW • 24x7 Monitoring and alerting • Performance visualisation • Bulk management • Diagnostics tools • Database management • GUI based on pgAdmin 4 MONITOR MANAGE DIAGNOSE Only solution available that combines all three tasks into one tool
- 5. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.5 ARCHITECTURE - SERVER • EDB Postgres Advanced Server or PostgreSQL database: • Stores system configuration data • Stores monitoring data • System scheduler • Primary PEM Agent: • Alert processing • SMTP/SNMP/Nagios spoolers • Garbage collection
- 6. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.6 ARCHITECTURE - AGENTS • Additional agents installed on managed servers • Each agent can manage zero or more Postgres instances • Monitor local instances or remote (with limitations) • Responsible for: • Probe execution and metric collection • Execution of scheduled tasks such as: • Server configuration and management • Software installation/updates
- 7. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.7 ARCHITECTURE - UI • Responsive web based UI • Based on pgAdmin 4, including all features
- 8. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.8 ARCHITECTURE – RESTFUL API • Allows easy integration with other systems • Enables scripting of common tasks
- 9. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.9 CORE FEATURES • 24x7 monitoring • Alerting • Dashboards • Custom charts & dashboards MONITOR DIAGNOSEMANAGE • Logging/audit wizards • Tuning wizard • Schema management • Query tool • Wait State Analysis • Postgres Expert • Log Analysis Expert • Capacity Manager • SQL Profiler
- 10. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.10 MANAGEMENT AT SCALE
- 11. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.11 WHAT IS MANAGEMENT AT SCALE? • Large numbers of Postgres Servers • More than 3, as that’s when repeating tasks starts to get annoying for me. • But realistically, let’s say over 10! • Up to hundreds or more: • Large organisations, or those using micro-services may have many servers. • May run in different environments: • Bare metal • Virtualised • Cloud • Containers • DBaaS
- 12. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.12 WHAT IS MANAGEMENT AT SCALE? • Large numbers of staff or power users • Large organisations or those “following the sun” may have lots of DBAs or sysadmins. • They may be organised in functional or departmental teams, possibly with multiple shifts. • Sysadmins, developers and DBAs • Engineering, finance and administration, sales, support and services • Day shift, evening shift, night shift
- 13. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.13 WHAT IS MANAGEMENT AT SCALE? • Different users have different concerns and requirements, necessitating RBAC (Role Based Access Controls): • DBAs can run database management tools • Sysadmins can use system related tools • Managers can run reporting tools • Some users may deploy new databases
- 14. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.14 SCALING THE TEAM
- 15. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.15 MANAGEMENT BY EXCEPTION • Human monitoring of everything isn’t feasible, but computer monitoring is: • Have the system monitor everything, and tell us (via alerts) when something seems wrong. • We can then act, and utilise all the collected data, information and tools to get a holistic view of the problem and drill down to the root cause. • Let the system do the hard work!
- 16. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.16 MANAGEMENT BY EXCEPTION • Alerts can be sent via: • Dashboards (which can be displayed as wall boards) • Email • SNMP • Nagios integration • User defined scripts
- 17. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.17 USERS • Each user in PEM is a role in the underlying Postgres data store • Each user may be a member of one or more additional roles • Authentication is handled by Postgres: • SCRAM • Kerberos • LDAP (common, but to be avoided in preference to Kerberos)
- 18. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.18 RBAC • Access to functionality in PEM requires membership in Postgres roles, e.g: • pem_manage_alert – manage alert templates and definitions • pem_config_alert – configure alerts on objects • pem_comp_sqlprofiler – use the SQL Profiler • pem_manage_efm – manage EDB Failover Manager
- 19. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.19 RBAC • Role membership can be inherited: • Don’t grant functional roles directly to user roles! • Create (or use) group roles, such as: • pem_super_admin – manage and use all aspects of PEM • pem_admin – administer/manage/configure agents and servers • pem_component – use the tools in PEM, e.g. SQL Profiler, Postgres Expert
- 20. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.20 TEAM SUPPORT • Organise users into teams, through role membership in the underlying data store. • Server and Agent properties can include a team (role name): • Objects with no team specified are visible to all users (though they may still not be able to login to them). • Objects with a team specified are only visible to users who are members of the team (or superusers, who are members of all roles) • Postgres’ RLS is used to secure the underlying data.
- 21. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.21 SHIFTS (AND ESCALATIONS) • Email groups can be setup to receive different alerts: • Time-based groups • Different groups for different alerts • Severity based routing
- 22. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.22 SCALING THE INFRASTRUCTURE ESTATE
- 23. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.23 DEPLOYMENT & UPGRADES • Utilise native packaging for deployments: • Better performance • Fully integrated with the OS package management • See Devrim’s talk at 1:15PM tomorrow in Back Bay B • Utilise deployment tools for executing deployments: • SaltStack • Puppet • Chef • Ansible • Except on Windows (sigh)!
- 24. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.24 DEPLOYMENT & UPGRADES • Group Policy: • Requires running on a Windows Domain • Cannot schedule easily (or at least, couldn’t last time I used it) • Doesn’t handle config file changes etc. – assumes the use of the Windows Registry • Works best with “pure” Windows software/packaging • PEM: • Package Management will monitor for updates to EDB-originating Windows packages • Can deploy updates and installations on machines with a PEM Agent
- 25. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.25 TREEVIEW ORGANISATION • PEM’s primary navigation is through the treeview browser on the left of the UI • This lists all objects, with high level ones including: • Database Servers • PEM Agents (zero or one per host) • EDB Ark Servers
- 26. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.26 TREEVIEW ORGANISATION • Organise objects into logical groups to suit your needs: • Development vs. Production • AWS vs. Azure vs. Google Cloud • Finance vs. HR vs. Engineering • K8s vs. Openshift vs. Cloud vs. Metal
- 27. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.27 TREEVIEW ORGANISATION • Use colouring to distinguish different servers or classes of servers at a glance: • Development vs. Production • QA vs. Staging • Finance vs. HR
- 28. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.28 DASHBOARDS • Simple things can help a lot! • Search/filtering menus • Make it easy to work with many servers and Postgres instances.
- 29. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.29 MANAGEMENT EN-MASSE • Configuration and management tools that can operate on multiple servers at once • Examples: • Tuning Wizard • Log Wizard • Audit Wizard
- 30. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.30 CROSS-ESTATE REPORTING • Generate reports to compare performance and other metrics across multiple servers
- 31. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.31 BATCH ANALYTICS/DIAGNOSTICS • Analyse configuration and performance on multiple servers
- 32. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.32 LOG MONITORING •Configuration • Configure server and audit logs en-masse using the Audit & Log Wizards • Deploy configuration at the desired time automatically • Collection • Regularly import logs into PEM • Review logs on the dashboard • Alerting • Warn if specific strings are found in logs (e.g. ERROR)
- 33. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.33 LOG MONITORING
- 34. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.34 CONCLUSIONS
- 35. © Copyright EnterpriseDB Corporation, 2019. All rights reserved.35 CONCLUSIONS Managing at scale is about both scaling the infrastructure estate AND scaling the management team: • Management of infrastructure en-masse: • Handle many servers in different environments • Filtered views • Bulk operations • Bulk reporting • Cross-estate reporting • Scaling the team: • Management by exception • Multiple users and integration with corporate authentication • Role Based Access Controls • Team and Group based management • Handling different shift and escalation patterns
- 36. © Copyright EnterpriseDB Corporation, 2019. All rights reserved. QUESTIONS & DISCUSSION 36
- 37. © Copyright EnterpriseDB Corporation, 2019. All rights reserved. THANK YOU [email protected] www.enterprisedb.com 37