🔰Kubernetes — Industry Use Cases🔰
Expert Sessions help you gain insights with the real people behind all these technologies, aren’t they??
Got to attend one such today.
Amazing, Eye-Opening, Smooth and Fabulous.
All these adjectives combined won’t express the value of the session in the right light.
The Speakers in the Session were:
➡️ The First One:-
“Mr. Neeraj Bhatt” (Senior Technical Engineer- OpenShift, Redhat )
▪️ “Working in Redhat from more than 4 years now”
➡️ The Second One is :-
“Mr. Vijit Kuntal” (Consultant, Infosys Belgium)
▪️ An experienced Senior System Engineer extremely skilled in DevOps, Jenkins.
➡️ And the Third one is-
“Rushil Sharma” ( Customer Engineer Hybrid Cloud, Google)
▪️ Experience in driving Financial institutions to optimize the Kubernetes workloads to leverage the optimum resources available without over committing the hardware. Has also worked at RedHat and contributed on Openshift 4.
There were some amazing and insightful learnings received in the session. Some of them can be summarized as:
🔹 Concurrent Versions System (CVS) is a program that lets a code developer save and retrieve different development versions of source code.
🔹 Git offers much more tools than CVS. One of the more important is “git bisect” which can be used to find a commit (revision) that introduced a bug; if your commits are small and self-contained it should be fairly easy then to discover where the bug is.
🔹 Using multiple environments ensures that your software is rigorously tested before it is deployed and made available to users.
🔹 Global Traffic Management (GTM) is designed so that Internet users can more reliably get to your websites or any other IP application.
🔹 Chaos testing is used for finding how our cluster behaves when something goes wrong in our production system.
🔹 CPU request for a Pod → the sum of the CPU requests for all the Containers in the Pod.
CPU limit for a Pod → the sum of the CPU limits for all the Containers in the Pod.
CPU Leaks → the program’s CPU usage slowly climbing to 100% and then the whole system slowing down — without memory footprint changing.
🔹 OpenShift provides SCC stands for security context constraints that control the actions in a pod that can perform and what it has the ability to access.
🔹 Namespaces are a feature of the Linux kernel that partitions kernel resources such that one set of processes sees one set of resources while another set of processes sees a different set of resources.
🔹 Grafana is an open-source platform for data visualization, monitoring, and analysis. The company uses this tool, paired up with Graylog, to monitor the technical state of software systems we use internally or build for customers.
Blessed to be have been part of this session.
And really inspiring and motivating as to see what is the potential of us Linux World students.
