Operations | Monitoring | ITSM | DevOps | Cloud

AI wasn't supposed to move this fast. Twelve months ago, the H100 was still the benchmark everyone measured themselves against. Six months ago, the B200 changed the calculus for serious inference workloads. Now there's the B300, NVIDIA's Blackwell Ultra GPU, and it doesn't just move the goalposts. It takes them off the pitch entirely. The B300 is the highest-performance GPU in the Blackwell family.

July has been one of our most structurally significant releases yet for Konstruct. With 0.6, we've shipped a second git provider, a completely reworked authorization model, new tooling for AI-assisted troubleshooting, and a handful of improvements that are smaller in scope but large in impact for day-to-day platform operations. Let's walk through what shipped and why it matters. You can explore the full 0.6 release notes directly in the docs.

a few years ago, nobody was asking where their inference layer should run. Now it’s on the roadmap, or already in production and costing more than anyone budgeted. Or perhaps you’ve built an agent infrastructure that spins up on a request and vanishes by midnight. Or you need GPUs that are priced like a luxury good on the hyperscalers, so you go source them from a neocloud like Lambda.

Microsoft Sentinel’s cost is driven almost entirely by one variable: how much data you send it. That is also why so many teams underestimate their bill. A few noisy log sources or one new integration can push daily ingestion up for weeks before anyone notices. And the first signal is usually the invoice. This guide breaks down every component of a 2026 Sentinel bill.

When Palo Alto Networks announced its intention to acquire Embrace, my first thought wasn’t about Embrace itself. My first thought was that digital experience, including Digital Employee Experience (DEX), has officially become strategic. For years, DEX has often been viewed as something that sat on the edge of infrastructure monitoring, endpoint management, and service desk operations. Important? Absolutely. Strategic? Not always. This acquisition changes that conversation.

Megaport has signed the Open Weights and American AI Leadership letter, supporting open-weight AI, customer choice, and the infrastructure that powers AI innovation. Artificial intelligence is reshaping how organizations build, deploy, and scale digital infrastructure. As AI adoption accelerates, the conversation is evolving beyond model performance alone to the broader ecosystem needed to support long-term innovation.

Every AI coding tool ships the same promise: your developers, faster. Autocomplete in the IDE, agents in the terminal, a working prototype before lunch. And it delivers, at least for the person holding the keyboard. The problem is that most of what it takes to ship software was never a solo activity, and that is the part the market keeps skipping.