Google Makes Kubernetes Invisible In The Cloud With GKE Autopilot
Google announced the availability of Google Kubernetes Engine (GKE) Autopilot, a fully-managed and operated Kubernetes environment for Google Cloud customers. The underlying infrastructure is completely hidden from users while exposing the environment needed for running cloud native workloads.
Google Kubernetes Engine is one of the first managed container orchestration services available in the public cloud. Since its launch in 2015, Google has been enhancing the service to make it enterprise-ready. GKE Autopilot is the latest move to accelerate the adoption of Google Cloud and create a unique differentiation for Google.
Like any distributed platform, Kubernetes has two components - the control plane and worker nodes. The control plane is responsible for managing the entire cluster infrastructure and the workloads running on it. The nodes act as the workhorses that run customer applications packaged as containers.
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Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter, Facebook and LinkedIn.
Indeed GCP is getting edge with this new release #autopilot
Sr. Cloud Architect (4xGCP, AWS, hybrid cloud, multi cloud, Anthos, Docker, Container, Kubernetes) at Cognizant
4 年Indeed, it's phenomenal offering. It has taken away the complexity of capacity planning and empowered the user to manage cost efficiently. Now it's in the hands of application developers to optimize and fine tune their containers to its extremes so that you pay exactly for the resources you use. In standard mode it's nearly impossible to perfectly right size the nodes. This offering offers you the Serverless class experience with higher degree of control. Kudos to GKE development teams. although I couldn't find a way to migrate existing clusters to auto mode, I believe it would be in the roadmap.
Executive Decision Support | Creative Force Multiplier | Unconventional Problem Solver | Cyber Nerd | OSINT Enthusiast | Lifelong Learner
4 年#KubernetesKeepCrushing #GKEAutopilot #One2Watch
Driving Data Architecture| DataEngineering| SoftwareEngineering| Cloud Data Solutions| DataGovernance| Data Modeling| Data Mesh| AWS| Azure| GCP| BigData| Spark| PySpark| Databricks| Snowflake| DevOps| Docker| Kubernetes
4 年Thanks for sharing