Operations | Monitoring | ITSM | DevOps | Cloud

Redgate's new book, 'Introduction to PostgreSQL for the data professional', is now available for free download. Hear from authors Ryan Booz & Grant Fritchey about their inspiration for the book and the challenges they faced along the way. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging.

For DevOps teams, ideal cloud deployment tools mean automation, consistency, and operational reliability. For CTOs, they ensure faster time to market, scalability, and efficiency. And for CFOs, cost-effectiveness and healthy margins are the name of the game. This is our hand-picked list to help you choose the right cloud deployment tools for your organization’s specific needs.

Agile production has become the norm for software development cycles. The backbone for such a fast-paced landscape is the continuous integration and continuous delivery (CI/CD) pipeline. But merely depending on the CI/CD pipeline isn’t enough, even though the automated workflows give you a competitive edge. The pipeline needs to be optimized to function at its best. This is where monitoring your applications within the pipeline can be a game-changer.

We are excited to introduce a new version of SecureBridge 10.7 – a suite of client and server components for SSH, SFTP, FTPS, HTTP/HTTPS, SSL, WebSocket, and SignalR protocols – packed with enhanced security, optimized performance, and extended functionality for secure data transmission.

We here at JFrog have long advocated for promoting – never rebuilding – release candidates as they advance across the stages of your SDLC. For many JFrog customers, that meant using JFrog’s “Build Promotion” capabilities. Now you can level up your CI/CD game with promotions using Release Lifecycle Management (RLM)! In this article we’ll show you why promotions with RLM are more simple, secure, and scalable than our legacy build promotion API.

Across regions, the regulatory landscape is shifting dramatically: These regulations signal a new era where energy waste is no longer just an economic concern but a compliance risk. Failure to adhere can result in hefty penalties, restricted operations, and reputational damage.

Engineering’s gotten really complicated. The rush to “innovate or die” created more code, more tools, and more teams—without a single, unifying way to keep it all healthy and moving. The result? Orphaned services, slow releases, and endless overhead... just to name a few.

In bridging traditional enterprise environments with modern GPU resources, we're helping organizations build AI infrastructure that's truly ready for production workloads. Co-authored by Duncan Ng, Vice President Solutions Engineering, Vultr As enterprises move from AI experimentation to production deployment, most are realizing a fundamental truth: Successful AI adoption requires more than just access to GPU computing power.

In recent years, many businesses have begun a process known as cloud repatriation. Cloud repatriation is when companies migrate their applications, data, and workloads from the public cloud to on-premises infrastructure. According to IDC, 70-80% of companies are repatriating at least some of their data each year.