We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

Lightweight and versatile. Huge library of extensions that enable you to integrate a host of services to your development environment. VS Code's biggest strength is its library of extensions which enables it to directly compete with every single major IDE for almost all major programming languages.

Visual Studio Code became famous over the past 3+ years I believe. The clean UI, easy to use UX and the plethora of integrations made it a very easy decision for us. Our gripe with Sublime was probably only the UX side. VSCode has not failed us till now, and still is able to support our development env without any significant effort.

Goland being paid, as well as built only for Go seemed like a significant limitation to not consider it.

Our whole DevOps stack consists of the following tools:

• GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
• Respectively Git as revision control system
• SourceTree as Git GUI
• Visual Studio Code as IDE
• CircleCI for continuous integration (automatize development process)
• Prettier / TSLint / ESLint as code linter
• SonarQube as quality gate
• Docker as container management (incl. Docker Compose for multi-container application management)
• VirtualBox for operating system simulation tests
• Kubernetes as cluster management for docker containers
• Heroku for deploying in test environments
• nginx as web server (preferably used as facade server in production environment)
• SSLMate (using OpenSSL) for certificate management
• Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
• PostgreSQL as preferred database system
• Redis 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.

I decided to choose VSCode over Sublime text for my Systems Programming class in C. What I love about VSCode is its awesome ability to add extensions. Intellisense is a beautiful debugger, and Remote SSH allows me to login and make real-time changes in VSCode to files on my university server. This is an awesome alternative to going back and forth on pushing/pulling code and logging into servers in the terminal. Great choice for anyone interested in C programming!