Google's Kubernetes Engine (GKE) is considered the strongest managed Kubernetes offering, with a focus on reducing engineer involvement in cluster operations. Cloud Run, Google's serverless container offering based on the open-source Knative framework, is becoming an increasingly attractive option w.. read more  

With kubectl, users can create, modify, and delete Kubernetes resources, retrieve logs, and execute commands within pods, making it a versatile and powerful tool for Kubernetes ecosystem. Here's a complete cheat sheet to use kubectl!.. read more  

Kubernetes is a valuable resource for container management system development pipelines, but it is susceptible to malicious attacks. To protect the security of a Kubernetes cluster, it is crucial to implement various defense tactics and follow good security practices throughout the container lifecyc.. read more  

Google Kubernetes Engine (GKE) has announced the availability of its security posture dashboard, which offers a streamlined interface for managing the security of GKE clusters. The dashboard includes features such as misconfiguration detection and vulnerability scanning to ensure the safety and secu.. read more  

Spotify uses containerized workloads on Google Kubernetes Engine (GKE) to run their production workload and detect suspicious behavior. They use an open source alternative method to conduct memory analysis on GKE nodes, combining three open source tools: AVML,dwarf2json, andVolatility 3... read more  

Reduce your Kubernetes container size to improve security. Smaller containers have benefits such as faster boot time, lower memory usage, and smaller disk footprint. By removing unnecessary software and focusing on essential components, you can reduce vulnerabilities and improve the security of your.. read more  

The Kustomize Configmap and Secret generator allows for the automatic creation of unique Configmaps and Secrets with hashed names. When updates are made to these resources, new Configmaps/Secrets with different hashes are generated, and the Deployment is automatically updated, triggering a rollout a.. read more  

Amazon Redshift serverless allows for the running and scaling of analytic workloads without the need to provision and manage a data warehouse cluster. Users, such as data analysts, developers, and data scientists, can use Amazon Redshift to gain insights from data and only pay for compute usage duri.. read more  

AWS Step Functions now have support for resilient deployment with version aliases, allowing for easy continuous deployment and safer releases into production. This capability includes the ability to maintain multiple versions of workflows, track versions used in executions, and gradually deploy work.. read more  

Large-scale database services with thousands of tenant clusters require a clear distinction between hot and cold data. One solution is to deploy a container platform that utilizes virtualization to make resource allocation more flexible, although the issue of cost sharing still remains. Another solu.. read more