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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

civo

Konstruct product updates: Hosted control planes and multi-cloud

Apr 2, 2026 By John Dietz In Civo
March signified a very important period for the Konstruct team, where we were able to focus on something we’ve heard consistently from teams: reduce the time to value without compromising control. In the previous post, we walked through how Konstruct 0.1–0.3 established the core platform model, introduced templates, and expanded GitOps into something that can represent both infrastructure and applications. With 0.4, we’re taking a more opinionated step forward.
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Meet Cortex: The Engineering Operations Platform

Apr 2, 2026 By Cortex | Engineering Operations Platform In Cortex
Standardize. Visualize. Drive Change. Cortex is the leading Engineering Operations Platform that helps organizations define what "good" looks like and empowers teams to reach those standards. From tracking DORA metrics to driving large-scale migrations, Cortex provides the visibility and tools necessary to maintain a high-performing engineering culture. In this video, you’ll see how to: Set the Standards: Create custom Scorecards (like Operational Maturity or DORA Metrics) with automated rules integrated directly from tools like PagerDuty, Incident.io, and GitHub.
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netdata

Conversations: Ask Netdata About Anything You're Looking At

Apr 2, 2026 By Shyam Sreevalsan In netdata
Netdata AI can already troubleshoot your alerts and generate Insights reports. What it couldn’t do, until now, was have a back-and-forth conversation. You could get a one-shot analysis, but you couldn’t ask follow-up questions, pull in additional context, or go from a quick question to a full investigation without starting over. We’ve added a conversational layer to Netdata AI.
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harness

The pipeline that never reached production | Harness Blog

Apr 2, 2026 By Anmol Pandey In Harness
Modern CI/CD platforms allow engineering teams to ship software faster than ever before. Pipelines complete in minutes. Deployments that once required carefully coordinated release windows now happen dozens of times per day. Platform engineering teams have succeeded in giving developers unprecedented autonomy, enabling them to build, test, and deploy their services with remarkable speed. Yet in highly regulated environments-especially in the financial services sector-speed alone cannot be the objective.
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sumologic

How to deploy PostgresSQL on Kubernetes

Apr 2, 2026 By Theo Despoudis In Sumo Logic
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications, abstracting many of the manual steps of rolling upgrades and scaling. When building cloud-native applications in a Kubernetes environment, you’ll often need to deploy database applications like a PostgreSQL database so that your applications can leverage their features within the cluster.
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harness

Introducing Zero Trust Architecture for Software Delivery | Harness Blog

Apr 2, 2026 By Eric Minick In Harness
For the world’s largest financial institutions, places like Citi and National Australia Bank, shipping code fast is just part of the job. But at that scale, speed is nothing without a rock-solid security foundation. It’s the non-negotiable starting point for every release. Most Harness users believe they are fully covered by our fine-grained Role-Based Access Control (RBAC) and Open Policy Agent (OPA).
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cortex

What is an EngOps platform? Key Features, Benefits, and Use Cases

Apr 2, 2026 By Cortex In Cortex
Though AI tools have made individual developers dramatically more productive at writing code, most engineering organizations report moving only about 20% faster than before. As Honeycomb CTO Charity Majors recently wrote, "AI came for code generation first because it was the easiest problem to solve, but it was never the thing holding developers back.".
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cloudzero

Your Most Expensive Kubernetes Costs Have Been Hiding In The Wrong Bucket

Apr 2, 2026 By Thomas Evans In CloudZero
If your organization is running AI or machine learning workloads on Kubernetes, the bill is real. GPU instances are among the most expensive resources in cloud infrastructure, where a single high-end node can run $30 to $40 per hour, and a multi-day training job on a cluster can cost tens of thousands before anyone looks up from their terminal. What most engineering and FinOps teams haven’t been able to do (until now) is connect that spend to the workloads that caused it.
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