What is Rafay Systems?
Rafay's automation framework provides multi-cluster management and app operations at scale. Create, deploy, operate, monitor, upgrade and retire Kubernetes clusters & k8s-resident applications across multi-regions, clouds and environments.
Rafay Systems is a tool in the Platform as a Service category of a tech stack.
Who uses Rafay Systems?
Developers
8 developers on StackShare have stated that they use Rafay Systems.
Rafay Systems Integrations
Slack, Gmail, Kubernetes, Amazon S3, and Datadog are some of the popular tools that integrate with Rafay Systems. Here's a list of all 28 tools that integrate with Rafay Systems.
Blog Posts
Jan 15 2020 at 11:37AM
Rafay Systems
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Rafay Systems's Features
- CI/CD integration
- Multi-Cloud abstractions
- Customizable, In-cluster scaling
- Cross-cluster deployment & scaling
- Global traffic steering and API management
- Dynamic workload placement
- App log & metric aggregation
- Operational debugging and diagnostics
- Data & State synchronization
- Config synchronization
- Canary / Rolling upgrades
- App health tracking
Rafay Systems Alternatives & Comparisons
What are some alternatives to Rafay Systems?
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
Apollo
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
