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Kubernetes is Hard. Here is the "Easy Mode" for 2026

Jan 9, 2026 By Speedscale In Speedscale
Is Kubernetes actually hard, or are we just using the wrong tools? In 2026, the Kubernetes ecosystem has become a "dependency jungle." Between GitOps, YAML configuration, kubectl mastery, and complex CI/CD pipelines, developers are spending more time managing infrastructure than writing code. In this video, Ken breaks down the "hard parts" of K8s and introduces a more efficient workflow using Speedscale. Learn how to gain instant visibility into your cluster, pull logs without the headache, and turn real-world traffic into actionable load tests.
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harness

Recommended Experiments for Production Resilience in Harness Chaos Engineering | Harness Blog

Jan 9, 2026 By Ashutosh Bhadauriya In Harness
This guide covers battle-tested chaos experiments for Kubernetes, AWS, Azure, and GCP to help you validate production resilience before real failures happen. Start with low blast radius experiments (pod-level) and gradually progress to higher impact scenarios (node/zone failures), always defining clear hypotheses and using probes to measure results. Building reliable distributed systems isn't just about writing good code. It's about understanding how your systems behave when things go wrong.
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metricfire

Guide to Sending Custom Metrics From Your Heroku Application

Jan 9, 2026 By Benjamin Pitts In MetricFire
Heroku makes it easy to deploy and operate applications without managing servers, but understanding how your application behaves internally still requires instrumentation. Platform metrics like CPU usage, memory consumption, and router request/status counts are useful, but they don’t tell you how long your code takes to run, when your app throws errors, or whether users are interacting with key features.
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solarwinds

Top 7 Kubernetes Add-ons

Jan 9, 2026 By Staff Contributor In SolarWinds
The open-source Kubernetes platform is designed to help simplify application deployment through Linux containers. It supports tasks like deploying workloads in the form of pods, clustering nodes, managing container runtimes, and tracking resources. The Kubernetes microservices system has risen in popularity over the last several years as an easy way to support, scale, and manage applications.
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How Standardizing Dev Workflows Boosts Velocity, Quality & Joy - with Jason Gates

Jan 9, 2026 By GitKraken In GitKraken
What if your dev team loved their workflows? Jason Gates from Sandia National Labs joins GitKraken’s VP of Developer Research, Jeremy Castile, to unpack the real-world challenges and powerful benefits of developer workflow standardization. In this candid conversation, Jason shares lessons from helping dozens of teams improve their software delivery — from reducing friction and boosting velocity, to creating joyful, productive developer experiences. They dive into.
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Galileo

IT Observability in 2026: Lessons From the Past Year

Jan 8, 2026 By Kristy Slimmer In Galileo
As IT organizations enter 2026, many of the assumptions around monitoring and observability have already been tested. Throughout 2025, infrastructure teams made it clear that visibility alone is not enough. Alerts without context, short data retention, and fragmented tools limited teams’ ability to explain behavior, validate changes, and plan with confidence. This article looks at what emerged from those experiences and how observability expectations continue to shift.
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circleci

Deploy a serverless Python API to Scaleway Functions using CircleCI

Jan 8, 2026 By Olususi Oluyemi In CircleCI
Serverless platforms have revolutionized the way developers build and deploy APIs, eliminating the need to manage servers or underlying infrastructure. With serverless, you can focus entirely on your application logic and let the platform handle scaling, availability, and maintenance. Scaleway Serverless Functions is a flexible serverless platform that makes it easy to deploy lightweight APIs and background jobs in the cloud.
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Komodor

When is it ok or not ok to trust AI SRE with your production reliability?

Jan 8, 2026 By Ilan Adler In Komodor
There’s a moment every engineer knows. An AI suggests a fix, it looks reasonable,maybe even obvious, but production is on the line and you hesitate before clicking execute. There’s a big difference between an AI that can recommend an action and one you’re willing to let take that action. All it takes is one bad call, one kubectl command that makes things worse, and suddenly every automated suggestion is a potential liability instead of a help.
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harness

Infrastructure Guardrails: Why Your IaC Stack Needs Them | Harness Blog

Jan 8, 2026 By Richard Black In Harness
Have you ever asked yourself, what is the fastest way to turn a harmless Infrastructure as Code change into a production incident and an awkward postmortem? We did, and found that usually, it's from letting it through without any guardrails. Infrastructure guardrails in Infrastructure as Code (IaC) were once a nice-to-have. Today, they’re essential. Without clear boundaries and safety mechanisms, even well-designed IaC workflows can turn small mistakes into fast-moving, high-impact problems.
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