We are happy to announce the release of Falco 0.15.0. This release incorporates a number of improvements, as well as bug fixes, and rules updates. This release also includes a mitigation for CVE-2019-8339, and all users are encouraged to update to this release. You can find more details about the features and improvements in the release notes, but below are a few highlights.

MITRE ATT&CK is a comprehensive knowledge base and complex framework of over 200 techniques that adversaries may use over the course of an attack. While MITRE’s full ATT&CK framework is publicly available, it can be characterized into 3 key elements.

Cloud computing, containerization, and container orchestration are the most important trends in DevOps. Whether you’re a data scientist, software developer, or product manager, it’s good to know Docker and Kubernetes basics. Both technologies help you collaborate with others, deploy your projects, and increase your value to employers. In this article, we’ll cover essential Kubernetes concepts. There are a lot of Kubernetes terms, which can make it intimidating.

If you’re thinking about using containers to manage an application, there are a lot of options for technologies to use. It can be difficult to even know where to begin to make a decision. One common question is whether someone should use Docker vs Kubernetes for managing their application containers. This is a misleading question. In truth, Docker and Kubernetes aren’t competing technologies. There’s no need for them to face off.

“I’ve run a lot of systems in production, and a lot of what has gone into the Kubernetes project came out of scars that came from running web search in production and running API services,” Brendan Burns, the co-creator of Kubernetes, said at the top of his keynote at GrafanaCon L.A.

The early adopters have begun to find a great degree of success and it is now time for the more mainstream enterprise to get off the proverbial wall and begin exploring containers and other areas of the cloud-native landscape. However, there is a need to mitigate or manage the risk of adopting new technology as it does introduce a dimension of change that accompanies any transformation.

With the adoption of agile microservices, enterprise IT teams have rapidly transitioned from managing pets (physical and virtual servers) to cattle (public cloud services) to now chickens (containerized infrastructure). Container platforms like Docker and container orchestration engines like Kubernetes are helping IT operators drive greater agility, portability, and flexibility for scaling, managing, and optimizing microservices architectures.

At Grafana Labs, we field questions about best practices from customers all the time. One company recently asked whether it should run a containerized Prometheus environment rather than a VM-based one. We thought we’d share our answer here too. So: Should you run Prometheus in a container?