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Messaging

Optimizing RabbitMQ Performance: The Metrics That Matter

RabbitMQ is a powerful, reliable, and widely used message broker that forms the backbone of modern microservices architectures. However, ensuring its performance and reliability requires proactive monitoring of key metrics. In this blog, we will explore the essential RabbitMQ metrics, their units, possible issues, solutions, and how tools like Atatus can simplify monitoring and troubleshooting.

Concept Demo: AI-Generated Status Updates for Mattermost Playbooks

In this video, we’re showcasing an early prototype of AI-generated status updates in Mattermost Playbooks—designed to simplify workflows and improve team communication during critical incidents. With this enhancement, you can: This conceptual demo highlights how AI can transform incident response by saving time and ensuring everyone stays informed with up-to-date information.

Concept Demo: Process Modernization with Playbooks on Mobile

In this video, we’re showcasing an initial prototype of how Mattermost Playbooks will work on mobile—putting the power of streamlined workflows and incident response right at your fingertips. With these new enhancements, users will be able to: By bringing these core Playbooks capabilities to your phone and tablet, we’re making it easier than ever to maintain process continuity and respond to incidents—even when you’re away from your desk.

Kafka Scaling Trends for 2025: Optimizations and Strategies

Scaling Kafka isn’t just about adding nodes or increasing partition counts; it’s about creating an ecosystem that grows with your business demands. As we move into 2025, the focus is shifting from brute force scaling to more nuanced, efficient strategies. Organizations are discovering that throwing resources at Kafka bottlenecks won’t solve long-term scalability issues—instead, optimization is king.

Configuring Kafka Brokers for High Resilience and Availability

In a Kafka setup, high availability isn’t just nice to have—it’s a lifeline. Downtime, data loss, or hiccups in message flow can make or break critical applications. Let’s be real: setting up Kafka brokers to be resilient takes some fine-tuning, but it’s absolutely worth it. Imagine dealing with failovers smoothly or knowing your data is protected even if a broker goes down—this is what configuring for resilience is all about.

How to Perform Health Checks on Your Kafka Cluster: Ensuring Optimal Performance and Reliability

When managing Kafka clusters, health checks are essential—not just a luxury. They’re your frontline defense in maintaining stability and performance, helping you catch issues before they snowball. Let’s dive into effective ways to assess your Kafka cluster’s health, from tracking key metrics to taking proactive steps that keep your operations running smoothly.

Troubleshooting Kafka Monitoring on Kubernetes

Let’s be honest: setting up Kafka monitoring on Kubernetes can feel like you’re trying to solve a puzzle without all the pieces in place. Between connectivity snags, configuration issues, and keeping tabs on resource usage, it’s easy to feel like you’re constantly firefighting. But tackling these issues head-on with a few go-to solutions can save a lot of headaches down the road.