SVN is much simpler than git for the simple stuff (checking in files and updating them when everyone's online), and much more complex than git for the complicated stuff (branching and merging). Or put another way, git's learning curve is steep up front, and then increases moderately as you do weird things; SVN's learning curve is very shallow up front and then increases rapidly.

If you're storing large files, if you're not branching, if you're not storing source code, and if your team is happy with SVN and the workflow you have, I'd say you should stay on SVN.

If you're writing source code with a relatively modern development practice (developers doing local builds and tests, pre-commit code reviews, preferably automated testing, preferably some amount of open-source code), you should move to git for two reasons: first, this style of working inherently requires frequent branching and merging, and second, your ability to interact with outside projects is easier if you're all comfortable with git instead of snapshotting the outside project into SVN.

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.