In-cluster Open Source Testing Framework
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1 In-cluster Open Source Testing Framework For Docker containers Neil Gehani Sr. Product Manager,
2 About me Former Software Engineer 10+ Years as a Product Manager Previously at: LinkedIn, Founder of ecommerce startup, Check Point Software Website: gehani.me Current Role (HPESW-ADM): Solving problems for modern development teams building apps as services in containers Published on Slideshare.net Product Portfolio Planning In-cluster testing framework Cloud-native ALM Medium Article on DevOps and In-Cluster Open Source Testing Framework Dabble in writing code, geeking out new technologies, conquering the hills of the bay area on my bike
3 Applications are changing accelerate to a digital enterprise Courtesy of 3
4 Our mission To solve problems for Developers building cloud-native applications as services in containers. Target users: Modern 2 pizza development teams In a recent NGINX survey [Finding #7], the biggest challenge holding back developers Having to constantly trade-off between quality of code and expected speed of delivery Multiple and increasingly complex environments Lack of automation tools and processes 4
5 Teams should be built around business value Business activity Business process Microservices 5
6 Taxonomy Modern Application Development & Delivery DevOps goal: Maximize business value by reducing cycle time Time value of money principle applied to software delivery Applications or Systems are set of services Service = business value Cloud-native is a design pattern Microservices is an architecture Containers are portable. If it works on my machine, it will run in production is real Platform to deploy services (PaaS) Infrastructure to run services (IaaS) Developers don t care how Serverless is compute on-demand DevOps is a practice App Transformation and DevOps are two sides of the same coin 6
7 Feel the need for speed
8 Balancing Time Value of Money Time value of delivery Time value of shipping Source: Brandon Chu - Time Value of Shipping 8
9 Microservices - Reducing cycle time minimizes risk, improves quality, speed Longer test cycles Less predictability VS. Unable to adapt to change Faster release cycle Less code to validate Easier to schedule 9
10 Principles of Microservices
11 The challenge New matrix from hell Courtesy of 11
12 Introducing TUGBOT.IO An HPE Open Source Project 12
13 Tugbot in-cluster testing framework for Docker Containers Developers IT Operations PLAN TEST TEST TEST TEST MONITOR Run Collect Env: Dev Run Collect Env: Test Run Collect Env: Stage Run Collect Env: Prod Test results ElasticSearch Visualization (Kibana)ALM Octane - Analytics
14 Use cases make continuous testing real (24x7x365) Simplify & standardize testing in any environment Any test, Any tool (integration, functional, performance, security, chaos, etc.) E.G test backing services or based on operational activities Event driven testing - trigger tests on events Docker events:image update, new container, etc. Timer events: CRON once in time interval Host events: kernel update, host restart, package update, config update, etc. External event: someone asked to run tests, etc. Standardize collection of test results from all machines Aggregate and analyze test results over time to track quality improvements Test context: Events, Docker containers, Host configuration, user defined context Share Test Containers Social-testing (e.g. Docker security bench test)
15 Tugbot workflow 2. Run tests (Tugbot) 1. Discover test containers 3. Collect rresults 4. Publish results to ES 5. Visualize Micro services Test containers From github.com ALM Octane Kibana
16 Tugbot components Open Sourced
17 Example - test container Dockerfile.xxx Test Container Dockerfile Docker Tugbot LABEL tugbot.event.docker=[list of Docker events]
18 Demo flow Deploy app Deploy Tugbot services Run, collect, result Elasticsearch + Kibana Launch app Vote Deploy 1 st run of Tugbot Inject failures Functional and integration View results Inject chaos (Pumba) View results Source: DockerCon 2016
19 Demo
20 HPESW-ADM Open Source contributions In-cluster testing framework for microservices in containers Tugbot open sourced (github) - slides Published in docker s weekly newsletter DEMO App (same one used at DockerCon16) github Chaos injection tool Pumba open sourced (github) Resiliency testing for microservices in containers Chaos injection with network emulation Pumba with netem open sourced github Used in the DEMO App Containerized Docker Bench security testing References 12factor.net Testing Strategies for Microservices - Martin Fowler 20
21 Application Lifecycle Management on modern platforms Web console Application Lifecycle Management (ALM Octane) Agile ALM Predictive ALM Cloud-native ALM Container Platform (PaaS, DC/OS, DiDC) HPESW Services Docker Trusted Registry Orchestration and Scheduling - Swarm, Kubernetes, Marathon OpenStack AWS vsphere Docker Engine H/W Future
22 TUGBOT.IO is live! We gladly accept pull requests Join us on Slack: tugbot-public.slack.com (public) For Developers/Contributors: tugbot.slack.com
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