When working with Logstash in production, one of the often-overlooked areas is the Dead Letter Queue (DLQ). This queue stores events that Logstash cannot process, usually due to parsing errors, mapping conflicts, or pipeline misconfigurations. While the DLQ is useful for troubleshooting, leaving it unmonitored can be dangerous: if it grows unnoticed, critical data might…
Read MoreUpdating Elastic Agents is usually straightforward – unless you’re working in a secure, air-gapped environment where machines can’t access the internet (and thus, the Elastic Artifact Repository). And yet this was exactly the challenge we faced. We needed a way to keep the Elastic Agents across a fleet of systems up to date, without exposing…
Read MoreWhen designing an Elasticsearch architecture, choosing the right storage is crucial. While NFS might seem like a convenient and flexible option, it comes with several pitfalls when used for hosting live Elasticsearch data (hot, warm, cold, and frozen nodes). However, NFS proves to be an excellent choice for storing snapshots and searchable snapshots. Here’s why….
Read MoreRecently, I had the opportunity to take the Elastic Observability Engineer certification exam by Elastic. I’d like to share my experience, the challenges I faced, and some tips for anyone considering this path. What to Expect from the Exam The exam primarily focuses on practical skills in using the Elastic Stack for monitoring and observing…
Read MoreIn high-demand environments, efficiency isn’t just an advantage – it’s essential. One of the biggest hurdles we encountered was the overwhelming strain placed on NetEye’s (Elastic) master nodes during the data enrichment process. As data volumes skyrocket, so do the complexity and the need for a smarter approach. Enter our game-changing solution: offloading data enrichment…
Read MoreIn today’s digital landscape, ensuring optimal performance and availability of applications is critical. Monitoring tools like Elastic Synthetics Journey Monitor and Alyvix offer unique capabilities tailored to diverse needs. Understanding where each tool excels can help you choose the best solution for your requirements. Elastic Synthetic Browser Monitor: Strengths and Use Cases Elastic Synthetic Browser…
Read MoreIntroduction: Unveiling Elastic APM in Containerized Environments In today’s dynamic digital landscape, where every interaction matters, understanding the intricacies of application performance has become paramount. Elastic APM is a powerful toolset within the Elastic Stack included in the NetEye SIEM Module, and designed to provide unparalleled insights into the performance of your applications. As organizations…
Read MoreIndex Lifecycle Management (ILM) policies constitute a fundamental component in Elasticsearch index management. They enable users to define the life stages of an index, determining when and how specific actions, such as transitioning from a “hot” to a “cold” state or deleting obsolete indices, should occur. ILM policies empower users to ensure the optimal distribution…
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