Kubernetes containerization services
Application Rollouts/ Rollbacks
- Automates changes to application or its configuration.
- Reverts updates incase of errors
- Automate preferred storage system mounting
- Support for local, cloud, and network storage systems
- Automate container placements without losing availability
- Restart failed containers
- Replace and reschedule containers when nodes die
Load Balancing and Service Discovery
- eliminate risk of using unfamiliar service discovery mechanism
- Give Pods their own IP and single DNS name – enable load balancing.
- Automate scaling based on CPU usage
- Scale applications with a single command or with a UI
Run apps across various platforms through Kubernetes powerful cluster creations capabilities
Scale your program with a single command, a user interface, or automatically based on CPU consumption.
Analyze and Monitor
Configure log analysis and monitoring services for targeted results
Set up a comprehensive CI/CD pipeline. Cover everything from source control, building and testing, to deployment and integration
OpenShift vs Kubernetes
Both OpenShift and Kubernetes are open-source platforms that help application development and container orchestration. OpenShift, being built on top of Kubernetes, includes all of its main components.
With Microservices in place, it is impossible to think about the packaging of an application without containers. Docker has done a decent job by providing a way to containerize the applications.
Making Kubernetes Administrative Heaven Through Helm Charts
- Introduction to Kubernetes
- How Kubernetes Standard Deployments Work
- Helm – the differentiating factor
- Structure of Helm charts
- Creation of Helm Charts
- Best Practices to Follow
Implementing External Configuration for Applications in Kubernetes
- Why is External Configuration needed ?
- Environment Variables in Dockerfile
- Using Kubernetes Environment Variables
- Supplying ‘default’ Configuration Values