Here at Mattermost, our team of developers and quality assurance analysts are proud of what we build and work hard to ship a quality product on the 16th of each month. However, maintaining our high bar for quality month over month isn’t without its challenges!
Mattermost Release v5.25 is generally available today. The new Extended Support Release offers many bug fixes for increased stability (see changelog for details) as well as the following new features.
It would not be wrong to say that Observability is the new buzz word for the last couple of years at least and often we find organizations burden themselves with questions like – The answer to these questions lies in understanding the concept of Observability and how it ties in with the digital experience monitoring strategy of your organization and only then can you determine where you stand in terms of Observability.
Think of orgs with lots of data and it’s impossible to not think of Netflix. In a new Netflix Technology Blog, titled "Byte Down: Making Netflix’s Data Infrastructure Cost-Effective", their Platform Data Science & Engineering team describe their data infrastructure "which is composed of dozens of data platforms, hundreds of data producers and consumers, and petabytes of data.” At this scale, cost-effectiveness is a critical matter of success and failure.
Observability changes the way you understand and interact with your applications in production. Beyond knowing what’s happening in prod, observability is also a compass that helps you discover what’s happening on the way to production. Pierre Tessier joins us on Raw & Real to talk about how Honeycomb uses observability to improve the systems that support our production applications.
Today we are pleased to announce new traffic management features for Elastic Cloud. Now you can configure IP filtering within your Elastic Cloud deployment on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. We are also announcing integration with AWS PrivateLink. These features help give you greater control over the network security layer of your Elastic workloads.
Detection engineering at Elastic is both a set of reliable principles — or methodologies — and a collection of effective tools. In this series, we’ll share some of the foundational concepts that we’ve discovered over time to deliver resilient detection logic. In this blog post, we will share a concept we call stateful detection and explain why it's important for detection.