Operations | Monitoring | ITSM | DevOps | Cloud

As organizations have moved toward a microservices design pattern, the need for reliable and performant solutions that enable decoupled services to communicate with one another has grown. RabbitMQ is an open-source message broker designed for this purpose. We’ll discuss what RabbitMQ is, how it works, why it needs to be monitored and how Sumo Logic can effectively do this.

There’s a lot to consider when engineering and implementing software, whether as an update patch or a newly-introduced product. End users have certain expectations when introduced to new or updated software—at the top of the list are aesthetics, ease of use, stability, and response time—the last two of which can be significantly improved when you employ application performance management or APM.

Today, I am excited to introduce the NSQ integration available for Grafana Cloud, our platform that brings together all your metrics, logs, and traces with Grafana for full-stack observability. NSQ is a real-time distributed messaging platform designed to operate at scale, handling billions of messages per day. It’s a simple and lightweight alternative to other message queues such as Kafka, RabbitMQ, or ActiveMQ. This will walk you through how to get the most out of the integration.

A common denominator that Mattermost and most corporate applications share is the challenge users can face in successfully setting up a self-hosted instance in their own cloud account. Even with cloud-specific documentation, there’s almost always a hard requirement of understanding said documentation, resolving any errors encountered along the way, and maintaining the application.

ActiveMQ is a message-oriented middleware, which means that it is a piece of software that handles messages across applications. It acts as a broker that can help facilitate asynchronous communication patterns like publish-subscribe and message queues. The main goal of those servers is to create a scalable and reliable message bus that different components can use to communicate with each other.

Welcome to the 7th edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.

This article predominantly talks about testing as a distinct career option in data science and machine learning (ML). It gives a brief on testing workflows and process. It also depicts the expertise and top-level skills a tester needs to possess in order to test a ML application.

Mattermost v6.4 is generally available today and includes the following new features (see changelog for more details).

The right tools enable your team to ship amazing code quickly. But between building, deploying, testing, monitoring, and maintaining software, all those great tools can create a lot of stuff to keep track of. Luckily, there’s a solution to this problem: ChatOps. ChatOps is a collective approach to running DevOps workflows and building a collaborative team culture.

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.