Operations | Monitoring | ITSM | DevOps | Cloud

How to Optimize Storage While Extracting Data at Scale

Large-scale data extraction creates storage overhead through raw files, logs, backups, failed runs, and duplicate records. Planning storage early helps keep pipelines faster, cheaper, and more reliable. The aim is not more storage by default, but better decisions about where data lives and how long it stays there.

May 2026 Early Warning Signals

In May 2026, StatusGator detected 854 Early Warning Signals across SaaS, cloud, developer, and infrastructure services. Of those incidents, 695 were never acknowledged by providers, while 159 were eventually confirmed on official status pages. Throughout the month, StatusGator’s Early Warning Signals continued to surface emerging outages before many providers published updates, giving teams valuable time to investigate and respond.

Microsoft DNS management in OpUtils: One console for complete control

For network administrators, managing DNS has traditionally meant juggling zones and records across separate server interfaces, manually tracking changes, and responding to resolution failures after they’ve already caused disruption. We’re excited to introduce Microsoft DNS management in ManageEngine OpUtils, bringing DNS zone and record administration directly into the same console you already use for IP address management (IPAM).

Your AI agent is fixing the wrong service

Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.

Why AI-Enhanced Managed Services Providers Are Becoming Essential for Modern IT Operations

For years, managed service providers (MSP) were viewed primarily as a way to reduce operational overhead. Organizations outsourced monitoring, support, and maintenance to improve uptime, contain costs, and free internal teams from routine IT tasks. Today, that model is no longer enough.

Shifting Streams and AI Surges: What Our Data Reveals About the OTT Landscape

OTT data from early 2026 shows streaming hierarchies holding steady while AI platforms reshuffled rapidly. Claude has substantially increased traffic since January, overtaking Gemini, and is on pace to challenge ChatGPT by fall. Doug Madory digs into the data in this new analysis.

Tempo 3.0 release: a new architecture for scale and lower TCO, TraceQL metrics GA, and more

Tempo started with a simple goal: make distributed tracing easier to run at scale. As tracing adoption has grown, however, so have the challenges, including higher data volumes, more complex architectures, and increasing demand for real-time insights directly from traces. Over the last year, we’ve been evolving Tempo’s architecture to meet that moment. And today, we’re sharing the results of those efforts with the release of Tempo 3.0.