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

Transitioning to FIPS 140-3 on Azure with Ubuntu

Organizations that work with the US public sector or handle sensitive data currently have a FIPS 140-2 requirement. Currently, if an organization wants FIPS compliance while running on Azure, they are running Ubuntu Pro 20.04 or earlier. On September 21st, 2026, this will no longer be enough to achieve FIPS compliance because organizations will need to transition to FIPS 140-3.

Canonical's open source portfolio

Canonical open source, explained in 2 minutes and 20 seconds. You know Canonical as the company behind Ubuntu. Today, we help you expand the Ubuntu philosophy to every layer of your stack with modular open source solutions - from infrastructure to apps. Start with Ubuntu, take control of your infrastructure, modernize your applications, get an optimized stack for data and AI, and deploy smart things at the edge - all on trusted open source.

Preventing harmful LLM output with automated moderation

Large Language Models (LLMs) can produce impressive text responses, but they’re not immune to generating harmful or disallowed content. If you’re developing an LLM-powered application, you need a reliable way to detect and block risky outputs. Disallowed content – hate speech, explicit descriptions, harmful instructions – can damage your product’s reputation, endanger user safety, and potentially violate legal or platform guidelines.

Vulnerability Remediation: Automate VR Workflows with Puppet

Secure and resilient infrastructure is non-negotiable. Puppet Enterprise Advanced automates critical tasks like patching, configuration management, and compliance, strengthening your security posture and bridging the gap between security and operations. Deploy essential updates quickly, minimizing threats and maximizing efficiency.

Top 5 AWS Reporting Tools To Track Usage And Spend

While modernizing IT infrastructure, securing data, and ensuring high availability are high priorities, optimizing AWS costs and utilization has consistently been the top priority for most companies in recent years. As a result, AWS introduced Cost and Usage Reports (CUR). AWS designed CUR to provide granular data on resource consumption and associated costs in the AWS environment.

What Is Cloud Orchestration and Which Tools to Use

Cloud infrastructure management is a complicated task for organizations of all sizes. Infrastructure teams are increasingly asked to improve developer velocity, unlock access to different cloud platforms, and provide comprehensive visibility into cost and performance. Choosing the right cloud orchestration tool reduces the burden on infrastructure teams.

Generating and Tracking SBOMs with Kosli: Enhancing Software Security and Supply Chain Transparency

Software Bill of Materials (SBOMs) are crucial for maintaining software security and supply chain transparency. They provide a detailed list of all components, libraries, and dependencies within a software application, enabling organizations to identify and address potential vulnerabilities, license compliance issues, and other risks. By generating and tracking SBOMs in Kosli, you can establish a centralized and auditable repository for your software’s supply chain information. This allows you to.

How to Justify DCIM's ROI to Leadership

For those deep in the day-to-day operations of a data center, the value of a modern Data Center Infrastructure Management (DCIM) solution is often clear. It helps improve capacity planning, uptime, energy efficiency, and the productivity of people. Data center professionals understand this, and most would love to have DCIM software that simplifies their jobs and helps them deliver better results. But for leadership who controls the budget, the benefits of DCIM software aren’t always so obvious.

Four Ways to Connect Your Clouds

Learn how to connect your cloud environments without sacrificing speed, security, or cost efficiency. Businesses aren’t sticking to just one cloud provider anymore. Maybe you’re running apps on AWS, storing data in Google Cloud, and using Azure for AI workloads. It makes sense – each provider has its own strengths. But now you’ve got another challenge: How do you connect them all efficiently without running into performance issues, high costs, or security risks?