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Write Prometheus queries faster with our new PromQL Explorer

We are announcing the new PromQL Explorer for Sysdig Monitor that will help you easily understand your monitor data. The new PromQL Explorer allows you to write PromQL queries faster by automatically identifying the common labels among different metrics. It also allows you to interactively modify the PromQL results by using the visual label filtering

A real-world application deployment on Kubernetes

CEO and Founder, Shipa Corp We see people talking more and more about Kubernetes these days, and if I have to guess, these conversations will continue to grow. Still, the reality is that most enterprise companies are just starting to explore Kubernetes, or they are at the very early stages of scaling it. As you deploy production-grade apps on Kubernetes, both developers and DevOps teams realize that operationalizing applications on Kubernetes can be way more complicated than expected.

Tigera to Provide Native Kubernetes Support for Mixed Windows/Linux Workloads on Microsoft Azure

Tigera, in collaboration with Microsoft, is thrilled to announce the public preview of Calico for Windows on Azure Kubernetes Service (AKS). While Calico has been available for self-managed Kubernetes workloads on Azure since 2018, many organizations are migrating their .NET and Windows workloads to the managed Kubernetes environment offered by AKS.

All together now: Bringing your GKE logs to the Cloud Console

Troubleshooting an application running on Google Kubernetes Engine (GKE) often means poking around various tools to find the key bit of information in your logs that leads to the root cause. With Cloud Operations, our integrated management suite, we’re working hard to provide the information that you need right where and when you need it. Today, we’re bringing GKE logs closer to where you are—in the Cloud Console—with a new logs tab in your GKE resource details pages.

Detecting MITRE ATT&CK: Privilege escalation with Falco

The privilege escalation category inside MITRE ATT&CK covers quite a few techniques an adversary can use to escalate privileges inside a system. Familiarizing yourself with these techniques will help secure your infrastructure. MITRE ATT&CK is a comprehensive knowledge base that analyzes all of the tactics, techniques, and procedures (TTPs) that advanced threat actors could possibly use in their attacks.

AWS Fargate monitoring with Datadog

In Part 1 of this series, we looked at the important metrics to monitor when you’re running ECS or EKS on AWS Fargate. In Part 2 we showed you how to use Amazon CloudWatch and other tools to collect those metrics plus logs from your application containers. Fargate’s serverless container platform helps users deploy and manage ECS and EKS applications, but the dynamic nature of containers makes them challenging to monitor.

How to collect metrics and logs from AWS Fargate workloads

In Part 1 of this series, we showed you the key metrics you can monitor to understand the health of your Amazon ECS and Amazon EKS clusters running on AWS Fargate. In this post, we’ll show you how you can: You can use Amazon CloudWatch and related AWS services to gain visibility into your ECS clusters and the Fargate infrastructure that runs them.

Key metrics for monitoring AWS Fargate

AWS Fargate provides a way to use AWS container orchestration services—Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)—without needing to provision and maintain the infrastructure that runs your containers. Fargate is similar to serverless container platforms from Google (Cloud Run) and Microsoft (AKS virtual nodes).

appfleet is now production ready!

First of all what is appfleet? appfleet is an edge compute platform that allows people to deploy their web applications globally. Instead of running your code in a single centralized location you can now run it everywhere, at the same time. In simpler terms appfleet is a next-gen CDN, instead of being limited to only serving static content closer to your users you can now do the same thing for your whole codebase. Run the whole thing where just your cache used to be.