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

Heroku vs. Kubernetes

If you are deciding where to deploy a web app, you will almost always run into a choice between a platform like Heroku and running on Kubernetes. This article will compare Heroku and Kubernetes. They are two popular platforms for deploying and managing applications. This article breaks down the key differences in architecture, use cases, complexity, cost, and scalability to help engineers choose the right go-to platform for their needs.

Harness Database DevOps Now Supports Google AlloyDB

Harness Database DevOps now natively supports Google AlloyDB, enabling enterprises to manage PostgreSQL-compatible schema changes with CI/CD, GitOps, and policy-driven governance. Teams gain faster, safer, and fully auditable database delivery while reducing operational risk and manual overhead across environments. As organizations double down on cloud modernization, Google Cloud’s AlloyDB for PostgreSQL is quickly becoming the preferred engine for mission-critical applications.

Why Release Control Takes Weeks

The industry standard for release control is painfully manual: long-form policy documents, ServiceNow forms, human approvals, meetings, and tickets that take days or even weeks to close. In this video, Mike Long (CEO & Co-founder, Kosli) explains the difference between manual release control and an automated, zero-trust model where evidence is collected automatically, provenance identifies the artifact, and approvals can be fully codified.

Evidence as an Input

Evidence isn’t something you produce at the end — it’s something every control generates for the next one. In this video, Mike Long (CEO & Co-founder, Kosli) explains how vulnerability scans produce evidence tied to the artifact fingerprint and the policy file used, and how that evidence becomes an input to downstream controls like release approvals. This is the core of reusable, continuous compliance.

AI adoption is messy. Here's how engineering leaders are taming the chaos.

There's a moment every engineering leader hits when implementing AI where they realize that no one really knows what they're doing. Not your competitors. Not the consultants. Not even the executives pressuring you to show results yesterday. Everyone is figuring this out in real time, and beneath the confident vendor pitches and LinkedIn thought leadership, the truth is messier than anyone wants to admit.

AI & FinOps: The New Power Duo Driving Modern Profitability

FinOps teams have been expected to understand millions of dollars in cloud and AI spend using tools that a handful of (usually technical) specialists can operate. Dashboards, filters, exports, and SQL have been the norm. That era is over. CloudZero is now bringing AI directly into the FinOps workflow so anyone in the business can ask natural-language questions about cloud and AI spend, and get accurate answers back from the platform.

Preparing your eCommerce platform performance for Black Friday

This blog is based on an Upsun livestream discussion featuring Guillaume Moigneu, Field Engineer, and Thomas di Luccio, Product Manager at Upsun. The conversation was moderated by Greg Qualls. We utilized AI tools for transcription and to enhance the structure and clarity of the content. When Black Friday approaches, the stakes are high for eCommerce businesses.

Discover how to build AI-augmented applications with enterprise-grade security

IT leaders want AI that moves the needle without blowing up risk, cost, or changing control. Your teams need a path to productize AI features on top of existing apps, connect safely to external models, and satisfy audit requirements without slowing delivery. Those are the core buying criteria we hear from IT middle management: buy over build, predictable outcomes, and a strong compliance posture.