If you’re an experienced engineer, you likely have comprehensive observability and monitoring set up for your production systems. So if issues arise, you’re empowered to resolve them quickly. Yet, there are way too many systems out there, especially smaller and simpler ones, which are running with only rudimentary observability systems, or no observability at all. This means when an application goes down or starts to perform poorly, it may be very hard to pinpoint and resolve the issue.

It’s indisputable that mobile devices have taken over not only the consumer market but also corporate environments. Many businesses and organizations heavily rely on mobile devices for productivity and communication, especially with the emergence of remote and hybrid work setups. Additionally, MDM solutions have become a vital tool to ensure the reliable management of these mobile devices.

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.

In the market for SecOps Solution alternatives? The agent-less patch and vulnerability management platform helps IT teams identify, prioritize, and remediate security vulnerabilities – but it’s not without its limitations. According to some users on G2 and Gartner, SecOps Solution has a moderate learning curve and could improve its reporting system.

How has AI shaped ITSM? We analysed 8 leading ITSM vendors to find out how they implemented AI in their solutions.

Managing observability workloads can quickly overwhelm even the most experienced admin. Maybe you’re dealing with multiple departments, each needing its own collector configurations and pipelines. Every time you have to run a test or roll out a change, the process is cumbersome and introduces risk. Or perhaps you’re responsible for tracking hundreds of collectors across different environments and regions. In a scenario like this, troubleshooting individual issues feels nearly impossible.

In the world of security, being able to use system telemetry of Windows hosts opens new possibilities for monitoring, troubleshooting, and securing IT environments. Recognizing this, Elastic has introduced new capabilities focused on Event Tracing for Windows (ETW) — a powerful Windows-native mechanism for capturing a vast array of system and application events. With these new additions, Elastic users can capture, analyze, and visualize Windows telemetry using the Elastic Search AI Platform.

As Black Friday and Cyber Monday approach, eCommerce websites brace themselves for the year’s highest traffic. These retail-heavy events are prime opportunities for businesses to maximize their sales, but they also bring intense pressure on websites to perform at their peak. When it comes to online shopping, even a few seconds of delay or downtime can lead to frustrated customers, abandoned carts, and lost revenue.

Lessons from the front lines: Moving to observability maturity What separates the observability experts from the novices? It's a question that's been on my mind lately, especially after diving into our recent 2024 State of Observability Survey of over 500 practitioners. In my past roles as a DevOps engineer and a site reliability engineer (SRE), I've seen firsthand how a mature observability practice can be the difference between sleepless nights and smooth sailing.

Recently, I have seen a trend of enterprises moving toward OpenTelemetry (OTel) for application tracing. Tail sampling, in particular, has emerged as a preferred approach to gain actionable insights while balancing data volume and cost. OpenTelemetry offers developers and practitioners the ability to instrument their code with open-source tools, moving away from vendor-provided tools for application instrumentation.