K8s From Adoption to Ops – The Most Common Mishaps & How to Avoid Them
About the webinar
Within the webinar, Devtron’s CEO and Co-Founder Prashant, walks us through the journey that organizations go through when adopting Kubernetes. He discusses the most common missteps that are faced during the initial adoption process, as well as when organizations try to improve their Kubernetes implementation and go to more advanced stages. These mistakes also cover the wrong decisions that organizations might be making at the different adoption stages
Jim Hirschauer
Host
Jim Hirschauer is the Vice President of Marketing at Devtron, where he focuses on building dynamic marketing campaigns that align with the company’s innovative vision. Jim is also known for his work as a podcast host where he engages with industry experts on topics related to software delivery and DevOps practices.
Prashant Ghildiyal
Speaker
Prashant Ghildiyal is a Co-Founder and maintainer of an open-source project Devtron, a comprehensive DevOps platform for Kubernetes. With 18+ years of hands-on experience across AI/ML, DevOps, QA, Full Stack WebDev, and Data Science; he has a deep practitioner understanding of technology and a unique perspective that makes Devtron unique in its ability to foster collaboration between developers and DevOps across organizations irrespective of their scale and size.
Key Takeaways
- In the initial adoption process, organizations have to be more focused on experimentation with different tools and strategies to find out exactly what works for them.
- Developers need not have in-depth knowledge about Kubernetes and all its intricacies, but they require certain knowledge. Devtron offers a single pane of glass view into all the K8s resources and operations that a developer might have to perform and also helps avoid misconfigurations.
- After the initial experimentation phase, it comes time to evolve and mature the system over time. Some of the challenges that users face are inconsistent pipelines or the lack of them, not container sprawling, and environmental drifts
- The final stage includes scaling the system. The challenges that users face while scaling their Kubernetes system include consistency problems between multiple clusters, inconsistent policy, and access control.