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

Mobile session replay - now live in Coralogix

Coralogix Real User Monitoring (RUM) already gives teams a complete view of how users experience their websites. Now, that same visibility comes to mobile. With Session Replay for iOS and Android, you can watch real sessions unfold and understand exactly what users saw and did, without relying on vague support tickets or incomplete crash logs. Session replay captures exactly how users interact with your mobile app: taps, swipes, scrolls, and screen transitions.

Top 9 LLM Observability Tools in 2025

Organizations are adding GenAI to their current and future architectures and product roadmaps, requiring Ops teams to ensure LLMs are accurate, fast, secure and cost-efficient. LLM observability tools directly addresses these needs, helping identify and prevent common LLM errors and issues: LLM observability provides the telemetry data for this analysis. LLM observability tools trace requests end-to-end, evaluate outputs, and correlate quality with latency, cost, prompts, tools, and data sources.

3 real-world generative AI strategies for executives

Everyone is excited about AI, but few companies have successfully implemented it. While enthusiasm for generative AI (GenAI) has helped accelerate AI adoption across enterprises, the promises of artificial intelligence have yet to translate into measurable impact on most organizations’ bottom lines. The trouble isn’t the tech — it’s a lack of executive ownership.

Agentic AI Explained: How Autonomous Systems Are Changing Cybersecurity

Discover how agentic AI enhances cybersecurity by augmenting security teams’ existing security tools and workflows. See how Retrieval-Augmented Generation (RAG) enables faster threat detection, streamlined investigations, and smarter incident response — empowering SOC teams to work more effectively. Join cybersecurity experts Lisa Jones-Huff and Mohammed Anas Khatri to discover how agentic AI can help your security team multiply its impact.

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.