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Purple teaming exercises can be an excellent source for threat detection avenues. Learn how to execute an Azure Cloud purple team flow with Cloud SIEM.

You can get up and running with Otel's Astronomy Shop demo with Sumo Logic. Get set up with your OpenTelemetry demo and start understanding the data.

Learn how Kubernetes logging is structured, its native functionality, and third-party logging to enhance performance. Get full insight into deployment metrics to know everything that happens within a Docker container.

Continuous security is a challenge in Kubernetes. Learn about the main types of security risks and how to maximize your Kubernetes container security with best practices.

We recently evaluated Amazon Managed Workflows for Apache Airflow (MWAA), ArgoCD and Kubernetes for our Apache Airflow. Read how we decided which one was best for our use case.

Learn how to gain comprehensive visibility into your Kubernetes applications. Discover how Sumo Logic helps with native integrations, open-source data sources for Kubernetes and data collection.

Modern applications are often built, deployed, and managed as container images. At the same time, however, developers are drawn to serverless technologies for running their code without having to worry about infrastructure. AWS is now helping you bridge the gap between these two paradigms by allowing you to build and deploy serverless AWS Lambda functions with container images. This allows you to harness the power of AWS Lambda without having to rewrite or modify your development workflows.

Kubernetes, as a platform, is a comprehensive set of tools for orchestrating containers at scale. It consists of a modular architecture of specific components with a defined purpose. For example, the scheduler finds the ideal match for a particular pod and the kube-proxy manages the networking between the nodes and the master.

Brief introduction to understanding Kubernetes basics. Kubernetes is a broad platform that consists of more than a dozen different tools and components.

“Kubernetes vs. Docker” is a phrase that you hear more and more these days as Kubernetes becomes ever more popular as a container orchestration solution.

Automation is a key component in the management of the entire software release lifecycle. While we know it is critical to the Continuous Integration/Continuous Delivery process, it is now becoming equally essential to the underlying infrastructure you depend on. As automation has increased, a new principle for managing infrastructure has emerged to prevent environment drift and ensure your infrastructure is consistently and reliably provisioned.

Kubernetes has become the de-facto solution for container orchestration. While it has, in some ways, simplified the management and deployment of your distributed applications and services, it has also introduced new levels of complexity.

The last fifteen years have seen huge increases in developer productivity for several reasons, including the arrival of open source into the mainstream and the ability to better emulate target environments. In addition, the process of resetting a development environment back to the last known stable version has been vastly improved by Vagrant and then Docker.