Alex Wilhelm

Learn how to bring observability data into the agentic development environment of your choice such as Codex, Cursor, and Claude Code.

The Anthropic-Mythos-Fable story has been The Topic since Friday, and it moved fast enough to lose anyone who blinked.

Alex and I joked on the phone recently that we've been covering Databricks for 10,000 years. It has seriously been a long time. My earliest TechCrunch piece was the company's 2014 Series B , the year I joined the publication, so I've been on the Databricks beat since they were puppies, and they're big dogs now.

Cloud bills are climbing 20 years after AWS launched. Summit's Byron Dill makes the case for moving some workloads back on-prem to cut costs.

As AI labs push into enterprise software, a new fear takes hold: is your data training the models your rivals will use? Inside the open-model pushback.

Legacy VPNs weren't built for AI agents or how modern teams work. See how identity-based networking and PAM close real access gaps at scale.

Microsoft says its home-grown AI models match rivals on key Excel and coding tasks, cutting costs while tapping vast enterprise data to improve production.

The following post is a collaboration between Alex Wilhelm from the Cautious Optimism blog and FastForward. I set the stage regarding IBM's messy quarter, digging into what analysts think about the company's future prospects. Next, Alex dives into the financials to try to answer the question of what really lies ahead for Big Blue. Let's dig in. — Ron

Chronosphere leaders explain why building an in-house AI SRE helps teams map systems investigate incidents and support reliable software delivery at scale.

Critics say AWS, Google Cloud and Azure are overspending on AI infrastructure. The cloud earnings data tells a different story about growth and margins.