External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

GKE Workload Optimization

Coursera · Intermediate ·☁️ DevOps & Cloud ·5mo ago

Skills: Kubernetes90%Cloud Fundamentals80%

Key Takeaways

Demonstrates workload optimization strategies in Google Kubernetes Engine for cost and resource efficiency

Original Description

This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.

☆ Save to playlist Watch on External: Coursera ↗

AI explanation not available for this lesson yet

This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.

Browse explainer-ready lessons →

More on: Kubernetes

View skill →

Kubernetes Engine: Qwik Start

Orchestrating the Cloud with Kubernetes

Managing Deployments Using Kubernetes Engine

Orchestrating the Cloud with Kubernetes (AWS)

How to Use a Network Policy on Google Kubernetes Engine

Deploy Kubernetes Load Balancer Service with Terraform

Related Reads

The gap between scheduled and started was free telemetry we kept discarding

Learn to leverage telemetry data to identify and address scheduling gaps in automated systems, improving overall efficiency and reliability

From IDE to CLI to Meta-Harness

Learn about the evolution from IDE to CLI to Meta-Harness in DevOps, and how it impacts agent control planes, process runtimes, and workspace managers

Medium · DevOps

Building a Multi-Stage React CI/CD Pipeline with Azure DevOps, Terraform, Ansible and AWS

Learn to build a multi-stage React CI/CD pipeline using Azure DevOps, Terraform, Ansible, and AWS for efficient deployment

Medium · DevOps

Coding agents made us write code 3x faster — and CI became our bottleneck

Learn how to optimize CI/CD pipelines by distributing integration tests across multiple GitHub Actions shards on a dedicated server, resulting in 3x faster coding with agents

Medium · DevOps

Trace LLM P95 Latency Spikes in Python with OpenTelemetry + Prometheus

Professor Py: AI Engineering