Vinodsingh Ramalwan
Sharing knowledge is valuable, but compiling information and presenting is gold!
Hamburg, Germany
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Vinod is a System Engineer with an overarching experience in Software Engineering and passionate about cloud, Kubernetes and IaC.
After migrating from India to Germany for his Master studies he started his career with frontend focus. At MOIA, a Volkswagen daughter start-up, operating a ride sharing service in Hamburg and Hanover, he discovered his passion for Infrastructure and streamlined the frontend development pipeline. Stepping into a Full-stack development role at Media Markt Saturn to expand his skill set, he quickly discovered that his gitops knowledge was what the team needed as well. Instead of shifting from frontend to backend as intended, he immersed himself into cloud computing, pipelines and infrastructure as code.
This knowledge now being his field of expertise, he is supporting teams across the company to create a smooth developer experience to ship features efficiently.
Passionate about supporting others with his knowledge, he started into public speaking.
Area of Expertise
Topics
SLO-safe autoscaling with VPA and HPA: rightsizing and scaling done right (session)
VPA can rightsize pods and avoid last minute resource capacity incremental—but unexpected evictions make teams nervous. HPA scales replicas based on demand—but without proper resource requests, it can create inefficient scaling decisions. This talk focuses on extracting value from VPA in recommendation mode: configuring the recommender, interpreting CPU/memory suggestions, applying them safely via pipelines, and validating against SLOs. Also, we’ll see, how to set appropriate scaling thresholds and prevent aggressive scaling with HPA. Additionally, we’ll talk about VPA’s update mode trade-offs, HPA’s scaling metrics, Pod Disruption Budgets (PDBs), and how VPA and HPA complement each other without conflicts. You’ll learn patterns to reduce OOMs and throttling while avoiding flapping and mid-traffic evictions.
Target audience - intermediate to advanced
Target system - Container orchestrator (k8s)
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