Spotlight

Why Kube-State-Metrics Matters for Kubernetes Observability

Shashi

This article explains how to deploy and use Kube-State-Metrics to monitor Kubernetes object states via Prometheus for cluster observability.

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The Data Engineer's guide to optimizing Kubernetes
The Data Engineer's guide to optimizing Kubernetes

Niels Claeys shares how his team at DataMinded built Conveyor, a data platform processing up to 1.5 million core hours monthly. He explains the specific optimizations they discovered through production experience, from scheduler changes that immediately reduce costs by 10-15% to achieving 97% spot instance usage without reliability issues.

You will learn:

  • Why the default Kubernetes scheduler wastes money on batch workloads and how switching from "least allocated" to "most allocated" scheduling enables faster scale-down and better resource utilization
  • How to achieve 97% spot instance adoption through strategic instance type diversification, region selection, and Spark-specific techniques
  • Node pool design principles that balance Kubernetes overhead with workload efficiency
  • Platform-specific gotchas like AWS cross-AZ data transfer costs that can spike bills unexpectedly

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Matching jobs

    • Data Engineer with Hadrian Automation

    • Salary: $120K to $200K a year

    • Location: based in the office in Los Angeles, CA, USA

    • Tech stack: Kubernetes, AWS, On-premise, Helm, ArgoCD, Go, Python, SQL, Kafka, Terraform

    • Data Engineer with Verndale

    • Salary: $85K to $120K a year

    • Location: based in the office in Boston, MA, USA

    • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Python, SQL, Java, Scala, DynamoDB

    • DevOps Engineer with Nasdaq

    • Salary: €48K to €60K a year

    • Location: based in the office (and remote from home) in Vilnius, LT

    • Tech stack: Kubernetes, AWS, Azure, GCP, On-premise, Flux, ArgoCD, Docker, Terraform, TeamCity

    • DevOps Engineer with WGU Corporation

    • Salary: $127.7K to $191.5K a year

    • Location: based in the office in Salt Lake, UT, USA

    • Tech stack: Kubernetes, AWS, Shell, Python, Javascript, Java, Terraform, Cloudformation, Jenkins, Travis CI

    • DevOps Engineer with Zoic Studios

    • Salary: CA$480 a day

    • Location: remote from Canada

    • Tech stack: Kubernetes, On-premise, Shell, Python, Terraform, Ansible, Grafana, Prometheus, ELK

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