What are the must-see sessions In KubeCon Chicago for anyone interested in K8s Optimization? Many sessions are done in parallel, forcing you to make sections, therefore we are here to help you by hand-picking the top sessions about K8s optimization:
1) Kube-Costbusters: Optimizing #kubernetes Clusters for Efficiency and Epic Savings!
This session unveils the secrets of cost-driven Kubernetes optimization, right-sizing, and identifying hidden expenses.
Lecturers: Rachel Leekin & @AntoinetteMills of Amazon Web Services (AWS)
Details: Wednesday, November 8, 2:30pm - 3:05pm.
2) #observability in the Cloud Native Era - Why Is It Still so Hard?
Navigating cloud-native monitoring tools like #opentelemetry, Prometheus, and #grafana can be challenging. Discovering the complexity behind mastering cloud native observability.
Lecturers: Sharone Revah Zitzman & @JasonYee & Charity Majors & Itiel Shwartz
Details: Tuesday, November 7 • 2:30pm - 3:05pm
3) Kubernetes on a Budget: How to Get Pay-per-Use Right.
Learn directly from Intuit's cloud-native journey that led to significant cost savings.
Lecturers: @Karim Lakhani & Vasuki Prasad
Details: Thursday, November 9, 4:00pm - 4:35pm.
4) Efficient Resource Utilization for Batch Compute on Kubernetes.
Delve into the challenges and solutions of running batch workloads effectively across multiple clusters.
Lecturers: @AmitKumar & @Kevin Xu of Uber
Details: Wednesday, November 8, 3:25pm - 4:00pm.
5) Kubernetes on a Budget: How to Get Pay-per-Use Right.
In this panel, the #cncf Policy Working Group will explain the need for K8s policy management, its role throughout the cloud-native lifecycle, and the benefits of a policy-as-code approach.
Lecturer: Jim Bugwadia & Andy Suderman & Poonam Lamba & Anca Sailer & @Robert Ficcaglia
Details: Tuesday, November 7 • 2:30pm - 3:05pm
Come find us(PerfectScale): Booth - #E25. Stop by our booth for shirts and swag to add to your collection. Our technical experts will be at the booth ready to answer your questions.
Consultant at Devoteam
1moH12y k8s 🤣