Operations | Monitoring | ITSM | DevOps | Cloud

As security data volumes grow, so do the costs of processing and storing them. Microsoft Sentinel and other SIEM platforms charge based on data ingestion, which makes every decision about normalization rules critical and every duplicate log a direct expense. Enterprise-scale security data pipelines face a persistent problem: data duplication across normalization tiers. As logs move through multiple transformation stages, it’s often impossible to know in advance which version will succeed.

In this guide, we will walk you through how to add a service link that connects directly to the Rollbar Debugging Assistant—our ChatGPT-powered tool that helps you quickly analyze and debug an occurrence’s raw.json without needing access to your code repository. The Rollbar Debugging Assistant makes it easier and faster to understand what went wrong in a specific error occurrence.

You hear that? It’s the unmistakable, terrifying flood of tickets rolling in! Password resets, VPN issues, access requests, and performance alerts. The numbers climb faster than the team can respond. You’ve added automation, new tools, even a chatbot or two, but the tide surges on. Here’s a plot twist: sometimes, your IT service desk solution isn’t solving the problem. Sometimes, it’s the thing keeping the problem alive.

How LEO satellite technology is transforming enterprise connectivity It’s not new to say that reliable, high-speed connectivity is critical for businesses. Yet even as global networks expand, many enterprises still face connectivity challenges, whether operating in remote industrial zones, across oceans or in developing regions with limited terrestrial infrastructure.

In this edition of Anatomy of an OTT Traffic Surge, we look at Thursday Night Football on Amazon Prime Video. Based on traffic stats, TNF is the most watched program on the streaming service. Using Kentik’s OTT capabilities, we’ll see how this program gets delivered and how that has changed over 11 weeks of the NFL season.

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.

We’ve all built the standard RAG pipeline: chunk data, embed it, store it, retrieve it. It works… maybe. Just like LLMs have added a thinking mode for better results, we can add a bit of thinking to our RAG pipelines with agentic RAG using PostgreSQL and n8n.

Reports by Gartner say that over 40% of agentic AI projects may be discontinued by 2027, primarily due to unverified costs, vague business value, and weak risk governance. Most business leaders can already see the risk. Or the opportunity. That’s not the problem; the problem is what happens after - the effectiveness of process execution. Anushree Verma, Senior Director Analyst at Gartner, said: Execution latency is now the most expensive form of operational waste.

SaaS Monitoring is the process of continuously tracking the performance, availability, and reliability of Software-as-a-Service (SaaS) applications to ensure they operate efficiently and deliver the best possible user experience. In an era where organizations depend heavily on cloud-based tools for communication, project management, and analytics, maintaining optimal SaaS performance is more critical than ever.

Many IT teams rely on monitoring tools that reveal what is happening but do little to guide next steps. Dashboards show spikes, alerts fire nonstop, and yet issues still take too long to resolve. Traditional monitoring focuses on visibility, but visibility alone no longer matches the speed or complexity of modern digital operations.