Industry Use Cases with Demonstration on Kubernetes

Here is my experience of attending a session on Industry use-cases using Kubernetes with industry experts.

Let’s meet the industry experts: Mr. Rushil Sharma who is a Customer Engineer Hybrid Cloud at Google, Mr. Vijit Kuntal who is Consultant at Infosys and Mr. Neeraj Bhatt who is a Senior Technical Engineer — Openshift at Redhat.

My key-takeaways from the session:

• Centralized Version Control (CVS) helps to store the code inside a centralized server. A developer needs to save and pull the updated versions in the source code.

Why Git is preferred to CVS

• With the help of different environments, companies can make their works run parallel without any interruptions.
• Global Traffic Manager (GTM) provides high availability and distributes DNS and user application requests.
• Chaos testing checks for different conditions that may cause the production environment to be faulty. ** CPU request is the total requests for a CPU in millicores.
• CPU limits are the maximum number of CPUs that can be provided to the container.
• CPU leak is a condition in which more CPUs are needed than the normal usage.
• Security Context Constraint (SSC) allows administrators to control pod permissions. We can manage these constraints in instances as normal API objects using the CLI.

Grafana

Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture:

• Visualize: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs.
• Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard.
• Explore Metrics: Explore your data through ad-hoc queries and dynamic drilldown. Split view and compare different time ranges, queries and data sources side by side.