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The latest News and Information on Log Management, Log Analytics and related technologies.

Redis Performance Monitoring: Combine Logs and Metrics for Complete Visibility

Redis earns its place in modern stacks because it’s an in-memory data store with microsecond latency and rich data structures, making it perfect for things like caching, sessions, and rate limiting. Since it often sits on the request path, small issues (connection churn, blocked commands, memory pressure) can quickly ripple into user-visible incidents.

Ep 13: Everyone is winging it: Hope for an AI future

In this episode, we welcome Naomi Buckwalter, Sr. Director of Product Security at Contrast Security, to chat about the evolving landscape of security threats and the dual role of AI in both facilitating and combating these challenges. We explore the increasing sophistication of modern phishing attacks and discuss how security teams must rapidly adapt to stay ahead of emerging threats. We debate the transformative impact of AI on the future job market, where personal qualities and soft skills may increasingly take precedence over traditional technical competencies.

Pastries with SREs: Leveling up observability and donut dunkability

In this episode of Pastries with SREs, we explore what it really means to shift left with observability, moving from reactive firefighting to proactive performance. And yes, it starts with donuts. We unpack how SREs and IT Ops teams are often stuck reacting to incidents, battling alert fatigue and swivel-chair triaging. But what if you could pull in developers earlier, and give everyone a unified view of observability data?

Datadog vs Splunk: A Side-by-Side Comparison [2025]

Datadog and Splunk are both leading tools for monitoring and observability. Each offers a range of features designed to help you understand and manage your data. Datadog provides tools for tracking application performance and analyzing logs in real-time. Splunk, meanwhile, is known for its powerful log analysis and search capabilities. In this post, we will compare Datadog and Splunk on important aspects like APM, log management, search capabilities, and more.

LLM Observability Explained: Prevent Hallucinations, Manage Drift, Control Costs

Large Language Models (LLMs) are transforming how businesses interact with users, automate workflows, and deliver insights in real time. But as powerful as these models are, running them at scale comes with unique challenges, from hallucinations and latency spikes to cost overruns and user trust issues.

Elastic named a Leader in The Forrester Wave: Cognitive Search Platforms, Q4 2025

Today, we’re excited to share that Elastic has been named a Leader in The Forrester Wave: Cognitive Search Platforms, Q4 2025. We believe this recognizes our continued innovation in AI-powered search and the momentum of the Elasticsearch Platform.

How to know your data with Cribl's Ed Bailey and VisiCore Technology's Paul Stout.

Classifying and tagging data is the key to automating pipelines and improving visibility across the enterprise. We’ll share both the technical and business impact of truly knowing your data, and why Cribl makes it possible. Plus, we’ll talk CriblCon and why we’re excited to see you there.
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Innovating Security with Managed Detection & Response (MDR) and ChaosSearch

Managed Detection and Response (MDR) services occupy an important niche in the cybersecurity industry, supporting SMBs and enterprise organizations with managed security monitoring and threat detection, proactive threat hunting, and incident response capabilities. In this week's blog, we're taking a closer look at the role of MDRs in cybersecurity, the biggest challenges they face, and how integrating ChaosSearch is helping MDRs manage complexity, reduce data retention costs, and enable long-term security analytics use cases that are critical for customer success.

Paving the way for a new era: Mezmo's Active Telemetry

The world of software development has fundamentally changed. We've moved from monthly releases to continuous delivery measured in minutes, and the rise of AI means velocity is no longer just a goal—it's a requirement for survival. But this relentless speed has exposed a critical flaw in how we approach observability. The industry relies on a "store first, ask questions later" model where you collect every log, metric, and trace, and then hope to find the root cause when something breaks.