Operations | Monitoring | ITSM | DevOps | Cloud

Today, anyone can contribute to some of the world’s most important software platforms and frameworks, such as Kubernetes, the Linux kernel or Python. They can do this because these platforms are open source, meaning they are collaboratively developed by global communities. What if we applied the same principles of democratization and free access to cybersecurity?

In cases, when a crash happens in your Android application, you want more context on what occured before the issue — kind of like following breadcrumbs to the exception. Our SDKs automatically report breadcrumbs for activity lifecycle events, system events, HTTP requests, and many more. Now, Android developers will also see UI events listed as breadcrumbs and get the full picture of what happened without ever having to recreate the issue.

When monitoring network performance, the metric that we most commonly hear about is Speed. Everyone wants to know how fast their network is performing, but what if you need more detail? Keep reading to find out how to monitor network speed and more using Network Monitoring.

You’d probably struggle to find a big data practitioner who’s never heard of Apache Spark or used big data with Spark. We’d even go so far as to say it’s near impossible—and that’s for good reason. Spark is well known because it’s fast, reliable, and capable. Let’s dive into why that is, answer some common questions surrounding Spark computing, how to easily use it to achieve success, and more.

Plugins can help teams unlock the full potential of Mattermost, but they aren’t always ready to go out of the box. Learn how Chimera streamlines plugin configuration via an OAuth2 Proxy. One of the best aspects of any software offered in the Cloud is the ability to start using it in just a matter of minutes. The same is true for the Mattermost Cloud offering.

This article is based on a true story. The names of the company and people involved were changed to protect the innocent 🙂 . A few weeks ago, we were contacted by a pretty big e-commerce company. We can’t really share their name but, for the purpose of this story, let’s call them “KubeCorp Inc”. They reached out to us following an edge-case incident they had, which resulted in severe downtime.

Recently, we introduced support for default values in custom pipeline variables. Today, we're happy to announce the ability to make pipeline variables configuration more flexible with predefined values. We added a property to predefine values that can be assigned to a variable. It helps avoid errors, and improves the user experience. Instead of typing a variable value, you can choose it from a dropdown.

Have you ever had to purchase a CPU or a GPU? If so, you have probably come across the term “bottlenecking”. There is a certain threshold where output exceeds ability to process, and that can prevent optimal system functionality. One of the methods used in computing to overcome these bottlenecks is multi-threading, where requests are processed simultaneously by multiple threads. We can apply a similar principle to downtime monitoring.

With progressive delivery, DevOps, scrum, and agile methodologies, the software delivery process has become faster and more collaborative than ever before. Scrum has emerged as a ubiquitous framework for agile collaboration, instilling some basic meetings and roles into a team and enabling them to begin iterating on product increments quickly. However, as scrum teams grow and systems become more complex, it can be difficult to maintain productivity levels in your organization.