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Splunk Observability at Cisco Live: Agentic Observability for the AI Era

Observability has always been about seeing clearly under pressure. But the pressure has changed. Applications are more distributed. Kubernetes environments keep expanding. Digital experiences depend on services, APIs, networks, third-party providers, and now AI models and agents that can make decisions faster than a human team can review every signal.

The AI ROI Company's new groove: CloudZero's new UI, and what it means for customers

Customizability. Feature velocity. Performance. Capabilities that are critically important to all B2B software users. And capabilities in which CloudZero’s brand-new platform specializes. Pitching a total frontend overhaul didn’t necessarily make me CloudZero’s most popular new PM. But it’s made CloudZero faster, more customizable for a wider range of personas, and easier to update with the new features that matter most to our customers. And, if I may say, it also looks beautiful.

Claude Opus 4.8: Pricing, benchmarks, and which model to actually run

Anthropic shipped Claude Opus 4.8 on May 28, 2026, exactly 41 days after Opus 4.7. The SERP was empty for two days after launch. Not because nobody cared. Because engineering managers and finance teams were doing the math on whether the bill changes.

Massive Open Source Success: A Step-By-Step Guide | Ubuntu Summit 26.04

Not all open source projects gain traction -- but a few become movements. In this talk, Nariman, Founder of Puter, shares what actually separates the two, based on his experience of growing Puter to 40K+ stars, gaining hundreds of contributors, and over 500K installations. He breaks down how to gain momentum from a project's foundation, attract contributors, and design projects that capture the imagination.

AI Spend Hit $297B. Nobody Knows Where It Goes.

AI spend doubled to $297B in two years — and most companies can't tell you what any of it shipped. Token spend is disconnected from outcomes on the dev side. Agents in production? The invoice is the only signal. Harness Cloud & AI Cost Management (CACM) gives teams unit economics at the inference level, cross-provider visibility across OpenAI, Anthropic, Bedrock, and Vertex AI, and request-level attribution to the agent, session, or workflow that triggered the spend.

Why Modern Executives Are Treating Online Reputation Like Business Insurance

Executives have always understood the importance of protecting valuable business assets. Buildings are insured against damage, data is protected through cybersecurity systems, and legal safeguards exist to minimize operational risk. Yet in today's digital economy, one of the most valuable corporate assets is no longer physical at all. It is reputation.

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.