Most AI incident tools still leave a key decision to humans
An AI SRE agent can help troubleshoot an incident. But can you trust it to decide on its own when The post Most AI incident tools still leave a key…
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AI changed how you respond to incidents. Your tabletops haven’t caught up.
Tabletop exercises answer one question: when something breaks, will the people responsible for fixing it do the right thing, in The post AI changed…
Dynatrace’s $915M Arize deal bets AI agents are just another app to monitor
Dynatrace closed its $915 million acquisition of Arize on October 1, joining Arize’s tracing and evaluation of AI agents to The post Dynatrace…
Vulnerability alert fatigue nearly swamped WHOOP. But its fix still keeps a human in charge.
With often hundreds of thousands of alerts a day, many tech organizations are buried in vulnerabilities and worn down by The post Vulnerability aler…
Your agent is only as good as your infrastructure
You built a great agent, but something happened when it moved into production. In testing, your agent reviewed pull requests The post Your agent is…
Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent
What if engineers could spend their time building and optimizing systems rather than maintaining them? It’s 3 a.m., and the The post Agents op…
Red Hat AI 3.5 tackles the GPU queue that can stall AI pilots
Red Hat released Red Hat AI 3.5 this week, a move designed to let software engineering teams run AI with The post Red Hat AI 3.5 tackles the GPU que…
“AI factories are among the most complex systems ever built”: Nvidia and Palantir turn Nvidia’s supply chain into a proving ground for sovereign AI
Nvidia and Palantir announced on Thursday that they’re working together to bring “sovereign AI to critical supply chains,” kicking…
How much control should AI get? A CISO roundtable takes on SOC autonomy
Security operations centers have struggled with alerts for years, and AI agents offer a new way to tackle it: Enable The post How much control shoul…
The systems guide to production token optimization
When enterprise AI applications scale, they inevitably hit a wall. For many engineering teams this wall is initially diagnosed as The post The syste…
Meta stopped worrying about distillation and just shipped the pipeline
Meta released Muse Glimmer on Monday, a 30-billion-parameter open-weight model distilled from Muse Spark and licensed under Apache 2.0. The The post…
Nscale just bought Anyscale. Here’s why it matters for multi-cloud neutrality.
Cloud platform company Nscale announced this week a definitive agreement to acquire AI workload scaling specialist Anyscale, in a move The post Nsca…
Why your company should (try to) build its own AI SRE
Companies ship more code today than ever, thanks to agentic coding tools. For product teams, this accelerated pace of development The post Why your…
OpenAI fixed GPT-5.6 Sol’s most frustrating flaw: Burning limits while it waits
OpenAI introduced GPT-5.6 Sol earlier this month as a model built for more demanding coding tasks. But it didn’t take The post OpenAI fixed GP…
5 steps to build great service architecture and operational resilience
When operations teams get an alert, three questions need to be answered before any action can take place:  Without a The post 5 steps to build…
Agents keep changing their answers. Harness just built delivery pipelines that don’t care.
Software delivery lifecycle company (SDLC) Harness wants to put agents through the same pipelines and controls that all application code The post Ag…
AI didn’t replace our security team — it multiplied it.
For years, the assumption in security has been straightforward: mature detection and response programs require a Security Operations Center (SOC). T…
What makes CIOs trust an AI agent? Thira bets it’s not the model.
Sunny Gupta spent a decade and a half building Apptio into the system of record for enterprise technology spend. His The post What makes CIOs trust…
What an ex-NSA red teamer wants every SOC to stop doing
Security teams have spent years trying to see more. More endpoints, more cloud services, more identities, more telemetry. For the The post What an e…
Most enterprises will hand root cause analysis to AI agents within two years
For decades, software engineers have been the eyes and ears of enterprises, combing through voluminous logs, observability tools, consoles, browser…
Observability overload is drowning engineers
If you can see everything, you may see nothing at all. That’s what SREs and DevOps engineers are learning as The post Observability overload i…
From Jupyter Notebook to production: How to ship AI systems that actually work
Moving from experimentation to production in AI requires a transformation of mindset, architecture, and engineering discipline. There’s no API…
Debugging the undebuggable: building observability into probabilistic AI systems
Debugging used to be straightforward: A service failed, you checked the logs, followed the stack trace, and fixed the bug. The post Debugging the un…
Who’s monitoring the agents?
Over the past few months, something quietly shifted. Frameworks like CrewAI, AutoGen, and LangGraph are no longer just showing up The post Who’…
SAP launches AI Agent Hub at Sapphire 2026 to tame vendor agent sprawl
SAP wants to be the place where enterprises manage every AI agent in their environment, no matter which vendor built The post SAP launches AI Agent…
How AI-native systems are built
The core problem: the “brittle” enterprise Traditional enterprise software is deterministic; composed of a series of “If-Then” statements that break…
Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert
Agentic AI is in a hurry, and the open-source projects underpinning it are evolving at a breakneck pace. To ensure The post Why the Linux Foundation…