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

Need more juice? resources:set. Done.

Scaling your application shouldn’t feel like open-heart surgery. It should feel like flipping a switch. Watch your environment adapt in real time. Horizontal scaling. Vertical scaling. One command. Done. You do not want another war room. You want a clear way to add capacity when traffic increases, without editing and testing complex YAML files for hours or manually rolling out scripts across clusters.

Building the Future of Software Delivery Controls: Inside the FINOS SDLC Governance Working Group

In October, technologists from across the financial industry gathered in New York for OSFF 2025 where the general theme was clear: open collaboration has moved from promises to proof. Projects like Fluxnova and OpenGris showed how institutions can build shared, production-grade infrastructure. The Common Cloud Controls and AI Governance Framework demonstrated that regulatory assurance can be achieved collaboratively, not competitively.

Build Your Kubernetes Monitoring Foundation with kube-prometheus-stack

When you run Kubernetes at scale, one of the first challenges is understanding what the cluster is actually doing. Workloads shift around, pods restart for normal reasons, and traffic doesn't always follow the patterns you expect. Having clear signals makes day-to-day operations much easier. That's where kube-prometheus-stack helps. It brings Prometheus, Grafana, Alertmanager, and supporting components together as a single package.

Beyond Models: JFrog AI Catalog Evolves to Detect Shadow AI and Govern MCPs

When we first introduced the JFrog AI Catalog, it was our mission to provide the industry with a single system of record for governing the complex landscape of internal, open-source, and external commercial AI models. This foundational step was critical for enterprises to move from uncontrolled innovation to delivering AI with trust and confidence. However, the AI landscape is ever-evolving. The challenge for today’s enterprise is already evolving beyond simply managing a library of known models.

Securing Vibe Coding: JFrog Introduces AI-Generated Code Validation

A fundamental shift in software development is already here. Gartner predicts that by 2028, 75% of enterprise software engineers will use AI code assistants – a massive leap from less than 10% in early 2023. While this AI-driven speed creates a competitive advantage, it also opens a dangerous new front in the battle for software supply chain security.

Canonical Kubernetes officially included in Sylva 1.5

Sylva 1.5 becomes the first release to include Kubernetes 1.32, bringing the latest open source cloud-native capabilities to the European telecommunications industry With the launch of Sylva 1.5, Canonical Kubernetes is now officially part of the project’s reference architecture. This follows its earlier availability as a technology preview in Sylva 1.4.

An Open SDLC Controls Framework for Financial Services

How can financial institutions align on software delivery governance without slowing down innovation? At FINOS OSFF New York 2025, Deutsche Bank and Morgan Stanley introduced the new SDLC Governance Working Group — an open collaboration under FINOS to create a Common Controls Catalogue for software delivery. Kosli's Mike Long helped form and participates this group, contributing expertise in continuous compliance automation and controls engineering to connect the engineering and policy communities.

Redgate Monitor

Redgate Monitor helps you manage your entire database estate from a single pane of glass. Monitor SQL Server, PostgreSQL, Oracle, MySQL, and MongoDB – on premises, in the cloud, or in hybrid environments. Get database observability to proactively mitigate potential risks with instant problem diagnosis and customizable alerting. No downtime, customer complaints, or wake-up calls at 3am.

Introducing Redgate Test Data Manager with AI: Smarter, Safer Test Data Management

Discover how Redgate Test Data Manager’s new AI features deliver fast, compliant, production-like test data - balancing realism, speed, and security. In regulated industries like finance, healthcare, and insurance, test data management (TDM) can be quite challenging when it comes to compliance.