Top 10 Technology Trends Changing Developer's Landscape
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The document discusses 10 emerging technology trends that are changing the developer landscape: 1. Containers are being used as a lightweight alternative to virtual machines for packaging, deploying, and scaling applications. Container orchestration frameworks like Docker and Kubernetes are emerging. 2. Microservices architectures break applications into small, independent services that communicate over HTTP. This enables independent deployment and scaling of services. 3. DevOps practices like continuous integration/deployment, automation, and collaboration between development and operations are becoming standard.
Top 10 Technology Trends Changing Developer's Landscape
- 1. 10 Technology Trends Changing Developer’s Landscape Arun Gupta, @arungupta
- 2. Container
- 3. Container ▪Package, deploy, run and scale application, with dependencies, in an O/S-, language- and framework-agnostic way ▪Light-weight alternative to Virtual Machines, higher density
- 4. Why containers? ▪Fast deployment ▪Easy portability ▪Minimize impedance mismatch between dev, staging and prod ▪Existing toolsets included in workflow
- 5. Current State ▪Docker ▪OCI, rkt, … ▪Container orchestration frameworks – Docker – Kubernetes – Amazon EC2 Container Service – DC/OS – . . .
- 6. 6 promote a set of common, minimal, open standards and specifications around container technology opencontainers.org
- 8. the microservice architectural style is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. 8 martinfowler.com/articles/microservices.html
- 10. Why Microservices? ▪Strong module boundaries ▪Technology diversity ▪Independent deployment/scaling ▪Fault and resource isolation
- 11. ▪Uses an open source software stack to – deploy applications as microservices – package each part into its own container – dynamically orchestrate containers for optimum resource utilization 11
- 14. Tenets of CI ▪Source code repository is the “single source of truth” – All source code - application and test – Include build/test scripts, schemas, IDE configurations, docs, … – Tag your builds, define cadence ▪Automate the build - single command builds the codebase – Track who, when, what ▪Keep the build fast (< 10 mins) ▪Tests are triggered for each build ▪Commit early and often – Once every few hours, at least once a day
- 15. –Martin Fowler “Continuous Integration doesn't get rid of bugs, but it does make them dramatically easier to find and remove” 15 martinfowler.com/articles/continuousIntegration.html
- 16. 16 “it is the practice of releasing every good build to users” “continuous integration to its logical conclusion”
- 20. 2016 State of DevOps Report puppet.com/resources/whitepaper/2016-state-of-devops-report
- 21. Five “C”s of DevOps • Collaboration between “dev” and “ops” • Culture • Code everything - application and configuration • Consistency - automation over documentation • Continuous delivery
- 22. “you build it, you run it!” With great power, comes great responsibility
- 23. • Switched from self-hosted data center to AWS • New update every 11.6 seconds on weekdays • Peak was 3x (1079 deployments in an hour) • Picked up by 10k different hosts • 0.0001% deployments resulted in outage • Apollo - “secret sauce” for rolling updates • aws.amazon.com/codedeploy http://servicevirtualization.com/profiles/blogs/making-the-transition-to-a-devops-culture http://www.allthingsdistributed.com/2014/11/apollo-amazon-deployment-engine.html
- 29. AWS IoT Data Plane Control Plane Service Access Data Plane
- 30. Many Successful IoT Deployments Running On AWS
- 32. Virtual Machines Containers Serverless Unit of Scale Machine Application Function Abstraction Hardware Operating System Language Runtime Packaging AMI Container File Code Configure Machine, storage, networking, O/S Run Servers, configure applications, scaling Run code when needed Execution Multi-threaded, multi-task Multi-threaded, single task Single threaded, single task Runtime Hours to months Minutes to days Microseconds to seconds Unit of cost Per VM per hour Per VM per hour Per memory/second per request Amazon EC2 Docker, Kubernetes, ECS Lambda
- 36. Container Microservices Continuous Integration/ Deployment DevOps Internet of Things Serverless Virtual & Augmented Reality
- 37. Virtual vs Augmented Reality Virtual Reality: Experience a world that does not exist Augmented Reality: Enhanced experience of the real world
- 38. What do we need for VR? Detailed world Processing Power Gear
- 39. Amazon EC2 Instance Families
- 40. Virtual Reality Gear ▪Headset – Samsung Gear VR – Sony Playstation VR – Oculus Rift – Microsoft Hololens – HTC VIVE – Google Daydream View ▪Gloves ▪Immersive Rooms
- 41. Container Microservices Continuous Integration/ Deployment DevOps Internet of Things Serverless Virtual & Augmented Reality Artificial Intelligence & Machine Learning
- 46. Real Machine Learning on AWS
- 47. Container Microservices Continuous Integration/ Deployment DevOps Internet of Things Serverless Virtual & Augmented Reality Artificial Intelligence & Machine Learning Blockchain Blockchain
- 48. What is Blockchain? A distributed database that maintains a continuously growing list of ordered records called blocks. Each block contains a timestamp and a link to previous block. No new technology, just existing components assembled in a new way
- 50. Blockchain Usecases ▪Smart Contracts ▪Sharing Economy ▪Crowd funding ▪Governance ▪Neighborhood microgrids ▪Stock trading
- 51. Blockchain Frameworks ▪Public Open Source Blockchain – Ethereum (EF), Hyperledger (LF), Monax (nee Eris), … ▪Private Blockchain – MultiChain, Edgeverve (Infosys), … – Configured on AWS with partners – VPC, Private Subnet, Auto Scaling Groups, Elastic Load Balancer, Route 53, Docker/Kubernetes, EC2 Container Registry, Identity and Access Management
- 52. Container Microservices Continuous Integration/ Deployment DevOps Internet of Things Serverless Virtual & Augmented Reality Artificial Intelligence & Machine Learning Blockchain ChatOps & Offline First
- 54. ChatOps ▪Connect people, bots and tools in an automated workflow ▪Conversation-driven development ▪Example: Slackbot, Hipchat Connect ▪Serverless: An easy way to deploy and scale bots ▪Benefits – Higher transparency – Short feedback loops – More agility
- 55. Offline First ▪Lack of connectivity is not an error condition – Do not need constant connectivity – Low network bandwidth – Zero reception, unreliable connection – Geography ▪Features – Synchronization – Conflict resolution – Security ▪Frameworks: Hoodie, Ionic, Couchbase Mobile, Mapbox Mobile, …
- 56. Container Microservices Continuous Integration/ Deployment DevOps Internet of Things Serverless Virtual & Augmented Reality Artificial Intelligence & Machine Learning Blockchain ChatOps & Offline First