Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

How to Build Real-Time Supply Chain Observability

"One missing pallet." That's how a warehouse supervisor in New Jersey described the start of a week-long supply chain mess back in 2024. One pallet. Then came delayed trucks, angry retailers, overtime pay, and a customer threatening to walk. In logistics, small gaps don't stay small for long. And the uncomfortable part is that most teams are already working hard. The issue isn't effort. It's alignment. The data exists in most organizations-it just doesn't show the same reality at the same time. Which leaves a basic question surprisingly hard to answer: what's actually happening right now?

The 5 Best Marketing Agencies To Help You Sell Your SaaS Solution In 2026

When you're a B2B organisation, aiming to sell your new and improved SaaS solution to companies that are in need of customer relations management, warehouse inventory tracking, or in-house project management, it can actually be quite hard to find new customers. The SaaS world can be a hard market to break into, and you need to know where and when your product actually fits. And that's something we're here to help you with. If you need to find a marketing solution that you can rely on, you're going to want to find SaaS marketing specialists that know what they're talking about.

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.

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.

Inside the Grafana AI Team Weekly: AI Observability for the OTel demo and LLMSpec (May 12, 2026)

This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Principal Software Engineer Sven Großmann demos how he integrated AI Observability into the OTel demo, complete with the guards feature he introduced last week, and Principal Software Engineer Yas Ekinci gives a rare glimpse of LLMSpec, the internal counterpart of the o11ybench benchmark that we use to evaluate Assistant.

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.

AI ROI is an allocation problem

AI spend is going parabolic, and the labels on the bill (OpenAI, Anthropic, Gemini) are about all a CXO gets to work with. The hard part of tying that spend to outcomes is structural. A major portion of AI spend isn’t COGS. It’s the spend on coding agents producing the software, the spend on building marketing content, the spend on custom sales tooling, the spend on Intercom agents and Sybill analysis.

How we cut Spark compute costs by 44% with agentic AI and Datadog Jobs Monitoring

Spark jobs only get more expensive and harder to debug as they scale. It’s a problem we’ve run into ourselves. Our Referential Data Platform team builds and maintains the knowledge graph that maps relationships between customers’ observability entities. ServiceQueryEdge is at the center of that graph, mapping service entities to their associated metric and log queries.