Operations | Monitoring | ITSM | DevOps | Cloud

If your RabbitMQ queues keep growing and you have no idea why, or if messages aren’t getting picked up like they should, logs can save you a lot of guesswork. They’re basically a detailed record of what’s happening behind the scenes. This guide breaks down where to find RabbitMQ logs, how to set them up, and what to look for when things start acting up. Consider it your go-to cheat sheet for keeping RabbitMQ running smoothly.

Let's talk about keeping those microservices in check. If you're running a distributed system (and who isn't these days?), you know the drill – more services mean more potential failure points. We've got the lowdown on the best microservices monitoring tools that'll have your back in 2025.

Organizations looking for monitoring and observability solutions often compare ELK (Elasticsearch, Logstash, and Kibana) and Dynatrace. While both tools serve the purpose of log management and monitoring, their approaches, features, and use cases differ significantly. This article provides an in-depth ELK Stack vs Dynatrace comparison, helping users understand which tool best suits their needs.

With multiple factors affecting the performance of online businesses, offering glitch-free transactions has become a necessity. A key component of delivering great user experience is effective digital experience monitoring(DEM), which involves closely tracking performance across different devices, browsers, and locations.

Azure Service Bus is a critical messaging service for building scalable cloud applications, but performance bottlenecks can lead to delayed message processing, throttling, or even dropped messages. It is essential to identify and resolve these issues to maintain smooth application workflows and prevent downtime. This blog explores common Azure Service Bus performance problems, provides step-by-step debugging strategies, and highlights how proactive monitoring can prevent recurring issues.

If you’ve been relying on Opsgenie for real-time incident alerts and on-call scheduling, you’ve likely seen the writing on the wall: Opsgenie is being absorbed into Jira Service Management (JSM). For some teams, that may sound like a logical step forward. But for others, it poses a much more critical question.

When an incident happens—your systems go down, a critical service fails, or your end users start flooding support channels—what you need is fast, reliable alerting and an on-call team that can respond immediately. But if you’re using Jira Service Management (JSM) for this, chances are you’re paying for a lot more than just that.

Many organizations use a traditional IT CMDB for tracking IT assets, but relying solely on it can create blind spots in data center operations. A Data Center CMDB is purpose-built to address these challenges, offering deeper visibility, real-time insights, and operational efficiency. It is crucial to understand the difference between the two CMDBs and why switching to a Data Center CMDB could result in more optimization and efficiency.

In this post, we summarize the major changes in the recently officially released Apache Kafka 4.0.0 version. We will look at the most notable features compared to the previous versions and explain what these changes mean in real production environments and what improvements they can bring to your streaming infrastructure.

IncidentHub has many integrations to receive alerts. You can choose from Slack, Webhook, Email, Discord, PagerDuty, and more. In this article, we will explore how to receive IncidentHub alerts in your webhooks.