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As detection methodologies advance, attackers are increasingly using more complex techniques such as fileless malware. In the following article, we will see how to detect and mitigate this threat. Containers provide a number of security features that are not simply available on a normal host. One of those is the ability to make the container’s root filesystem read-only. By making the file system u
There will be cases like the serverless compute engine ECS Fargate, Google Cloud Run, etc., where some of these pieces are out of our control, so we work on a shared responsibility model. The provider is responsible for keeping the base pieces working and secured And you can focus on the upper layers. Prevention: 8 steps for shift left security Before your application inside a container is execute
Learn how to prevent security issues and optimize containerized applications by applying a quick set of Dockerfile best practices in your image builds. If you are familiar with containerized applications and microservices, you might have realized that your services might be micro; but detecting vulnerabilities, investigating security issues, and reporting and fixing them after the deployment is ma
Kubernetes 1.20 is about to be released, and it comes packed with novelties! Where do we begin? As we highlighted in the last release, enhancements now have to move forward to stability or being deprecated. As a result, alpha features that have been around since the early times of Kubernetes, like CronJobs and Kubelet CRI support, are now getting the attention they deserve. Another noteworthy fact
A step by step cookbook on best practices for alerting on Kubernetes platform and orchestration, including PromQL alerts examples. If you are new to Kubernetes and monitoring, we recommend that you first read Monitoring Kubernetes in production, in which we cover monitoring fundamentals and open-source tools. Interested in Kubernetes monitoring? Check these other articles with advanced topics: · t
Introduction When working with Kubernetes, Out of Memory (OOM) errors and CPU throttling are the main headaches of resource handling in cloud applications. Why is that? CPU and Memory requirements in cloud applications are ever more important, since they are tied directly to your cloud costs. With limits and requests, you can configure how your pods should allocate memory and CPU resources in orde
When working with containers in Kubernetes, it’s important to know what are the resources involved and how they are needed. Some processes will require more CPU or memory than others. Some are critical and should never be starved. Knowing that, we should configure our containers and Pods properly in order to get the best of both. In this article, we will see: Introduction to Kubernetes Limits and
Golden Signals are a reduced set of metrics that offer a wide view of a service from a user or consumer perspective: Latency, Traffic, Errors and Saturation. By focusing on these, you can be quicker at detecting potential problems that might be directly affecting the behavior of the application. Google introduced the term “Golden Signals” to refer to the essential metrics that you need to measure
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Csysdig is an open source, htop-like interactive troubleshooting tool for Linux that is designed for monitoring and debugging containers. It understands Docker, Rkt and LXC containers and underlying processes and threads together with their resources usage (CPU, Memory, net and file IO, etc) – basically everything you can capture from system calls. It can also map container activity to related Kub
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