Our whole DevOps stack consists of the following tools:

• @{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
• Respectively @{Git}|tool:1046| as revision control system
• @{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
• @{Visual Studio Code}|tool:4202| as IDE
• @{CircleCI}|tool:190| for continuous integration (automatize development process)
• @{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
• @{SonarQube}|tool:2638| as quality gate
• @{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
• @{VirtualBox}|tool:774| for operating system simulation tests
• @{Kubernetes}|tool:1885| as cluster management for docker containers
• @{Heroku}|tool:133| for deploying in test environments
• @{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
• @{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
• @{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
• @{PostgreSQL}|tool:1028| as preferred database system
• @{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

• Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
• Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
• Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
• Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
• Scalability: All-in-one framework for distributed systems.
• Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

Istio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn-keyIstio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn key solution with Rancher whereas Kong completely lacks here. Traffic distribution in Istio can be done via canary, a/b, shadowing, HTTP headers, ACL, whitelist whereas in Kong it's limited to canary, ACL, blue-green, proxy caching. Istio has amazing community support which is visible via Github stars or releases when comparing both.

In the past two years , the cloud native is becoming more and more popular , down-to-earth and ready for the production . Based on K8S and enriched by the service mesh framework like istio , the ecosystem is on the way to a bright future . Now I am a member of cloud native believer , I am keeping learning on that awesome field.