Latest AI and tech news
The
Kubernetes attributes processor,
which enriches your telemetry with Kubernetes metadata, has officially moved to
v1.0.0! You can try it out on your custom distro, and it is also available as
part of the latest opentelemetry-collector-contrib and
...
If you are coming from Testcontainers, you already trust containers for your tests....
This edition covers updates rolled out in August. Together they bring changes for database troubleshooting, Kubernetes metadata, AI security, edge component updates, data enrichment, agentic Assist, and cross-app navigation....
With the release of Kubernetes v1.37, the Pod-Level Resource Managers
feature has graduated to Beta status (disabled by default)!...
On July 18, 2026, we held the third edition of Kubernetes Community Days Lima at UTEC in Barranco. By now, we have already sent the Transparency Report to the CNCF, thanked our sponsors, and processed the surveys. With the administrative wrap-up behi...
Answer summary: The leading open source AI agent harnesses in 2026 include Stacklok Mecatl, OpenCode, and Pi, each taking a different approach to orchestrating agents, tools, and execution environments. Mecatl is the only cloud-native, Kubernetes-nat...
Answer summary: A cloud-native, Kubernetes-native agent harness eliminates the gap between local development and production, provides the isolation, scheduling, and identity primitives that enterprise agent workloads require, and lets platform teams ...
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the challenge shifts from running an algorithm to operating shared infrastructure. GPUs must b...
It’s 2 a.m., and you’re restoring a PostgreSQL cluster from last night’s backup. Its data directory lives on one PersistentVolumeClaim and its write-ahead log on another, a common split for I/O isolation. Every volume snapshot reported success. The p...
Zero-instrumentation eBPF sensor now deploys directly in GKE Autopilot clusters through Google's official partner allowlisting framework
Changed Block Tracking (CBT) support for CSI drivers
shipped as Alpha in
September 2025. With the March 2026 v1.0.0 release of the
external-snapshot-metadata
project, the feature moved to Beta....
Memory QoS has graduated to Beta in Kubernetes v1.37 and is now enabled by
default. On Linux nodes running cgroup v2, the feature uses the memory controller
to give the kernel better guidance on how to treat container memory. It was first introduced ...
This hub indexes the Kubernetes errors engineers hit most, with the fastest path from symptom…
Cilium 1.20, the second major open source Cilium release of 2026 after Cilium 1.19, is finally here. Three themes stand out in this release:...
This is a 4-part series on how agents remember:building short-, medium- and long-term memory thatscales across users, agents, and kubernetes clusters....
In-memory forgets on restart. Files can’t search by meaning. Here’s the fix....
While Kubernetes' built-in HPA works well for basic CPU and memory metrics, it falls short in modern, event-driven architectures. Traditional HPA relies on reactive resource utilization thresholds, often scaling up too late after a system is already ...
I'm excited to announce that native histogram support for Kubernetes metrics is graduating to Beta and is enabled by default in Kubernetes v1.37!...
Welcome to the first edition of Road to KubeCon, where we’ll track the world of Kubernetes as we approach KubeCon + CloudNativeCon North America, November 9-12 in Salt Lake City....
Choosing the right platform for an edge deployment is one of the most consequential decisions an organization makes—and one of the most confusing. The options range from a single-board computer running a handful of containers to a full Kubernetes clu...
GKE cost optimization means cutting GKE Kubernetes spend across nodes, pods, and purchasing without hurting reliability, using rightsizing, smart node provisioning, spot, and commitments. On GKE,…
On any compute platform, when a security alert fires, the question is always the same. Which workload talked to that endpoint, when, and how much? So, you dig through logs and hope they hold up. The hard part is knowing what to look for and where to ...
Kubernetes autoscaling adjusts capacity to demand at three levels: pods (HPA scales replicas, VPA adjusts…
A recap of ContainerDays Hamburg 2026 — keynotes from Airbus and Kelsey Hightower, standout sessions, and a thank you to this year’s sponsors.
Semgrep’s 2026 summer interns worked on four very different problems: backend autoscaling, Jira integrations, program analysis, and memory profiling. Along the way, they shipped real work, navigated the tradeoffs of production engineering, and lear...
In Kubernetes, resource allocation has historically been a static decision made during a Pod's initial scheduling and placement. With the graduation of the core in-Place Pod resize feature to General Availability in v1.35, application developers and ...
Cast AI’s PrecisionPack rightsizes workloads based on actual container usage, reducing overprovisioned CPU and memory requests while increasing underprovisioned ones. By aligning resource requests with real…
This document describes three failure scenarios that separate having backups from being able to recover, and the guidance that follows from each. Every scenario is reproducible on a laptop from the lab repository above, and every terminal output show...
Shipping ordinary software rests on a useful assumption: the artifact you test is mostly the artifact your users receive. A container image can be pinned, a database migration can be reviewed, and a feature flag can be switched off when a release goe...