A passing test in a monolith traditionally offered a relatively straightforward signal. The code behaved as expected under the conditions tested. The function produced the expected output. The integration with the database worked. The deployment was probably safe within those limits. A passing test in a cloud-native system can offer
Komodor this week added the ability to deploy agentic artificial intelligence (AI) workflows using its platform for site reliability engineers (SREs) that manage Kubernetes clusters. Company CTO Itiel Shwartz said the Komodor Agentic Operations Platform makes it possible to deploy AI agents using the same workflows that SREs use to
ActiveState and Docker, Inc. today revealed they will both resell the hardened libraries and images that each company curates. The overall goal is to make it simpler for application development teams to source both hardened container images and the libraries they run on that are certified using Level 3 of
If you’re running a multi-AZ Kubernetes cluster with a service mesh on top, there’s a good chance you’re paying a tax you never signed up for, and it won’t show up as a line item on any dashboard you’re already watching. The Default Nobody Configures Kubernetes Services and Istio’s Envoy
Formal verification has long been the gold standard for software correctness. It has also been too expensive for almost everyone. New research from Anthropic suggests that’s changing. Anthropic’s Frontier Red Team, working with formal methods company Theorem, used Claude to prove security properties in the compiled code of 123 open-source libraries from Google’s OSS-Fuzz project. […] [...]
Cisco has released its Splunk State of Observability 2026 report, revealing that companies face growing costs and operational challenges as they deploy AI agents without sufficient monitoring capabilities. The report found that 57% of organizations spend more on telemetry, the data used to monitor IT systems, than on the infrastructure being monitored. Additionally, 55% of […] [...]
Traditional monitoring can show an LLM-powered application as healthy even when it delivers incorrect answers. Drawing on experience at Varo Bank, this article explains why AI observability must go beyond the four golden signals and how automated evaluation, groundedness checks and CI pipelines can catch silent failures before they reach customers. [...]
