Operations | Monitoring | ITSM | DevOps | Cloud

Here there be cybersecurity monsters. But there don’t have to be. The scariest creatures aren’t in haunted houses or slasher films. They’re in your IT environment, lurking in queues, clogging inboxes, haunting your service desk. We’re talking, of course, about tickets. Every IT leader knows the horror movie I’m referring to: endless tickets piling up and making even the simplest requests a real slog.

“Free" cloud credits, they sound like a gift, but they often come with hidden costs and an agenda: lock-in. The illusion of a cost-saving measure can quickly become a vendor-specific trap, forcing costly migrations or leaving your business overpaying for cloud services. This issue, which the UK Competition and Markets Authority (CMA) estimates contributes to £430M of annual over-payments in the UK alone, is what we call the "cloud credit trap.".

When thinking about imperative infrastructure commands and Day 0 tasks for provisioning infrastructure, Ansible is an oft-mentioned tool that has been popular among practitioners for its easy YAML syntax and agentless architecture. You might have used Ansible to get your infrastructure started or for other “one-and-done” infrastructure automation scenarios.

Do you like working with time in your code? If yes, you’re likely one of the lucky ones who are blissfully unaware of how deep the rabbit hole goes. If you don’t like it, I have good news for you! Postgres can make working with time more enjoyable! The newly released temporal constraints let you easily maintain referential integrity across temporal relationships. That might seem simple, but it's kind of a big deal. Let’s explore it through an example.

InfluxDB 3.6 is now available for both Core and Enterprise. This release introduces the 1.4 update to InfluxDB 3 Explorer, featuring the beta launch of Ask AI, along with new capabilities for simple startup and expanded functionality in the Processing Engine. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2. InfluxDB 3 Enterprise extends Core with long-term data retention, clustering, fine-grained security, and management capabilities.

At Cortex, our mission is to empower engineering organizations to ship reliable, secure, and efficient software, faster. Today, we’re thrilled to announce a formalized partnership with Sonar, the leader in code quality and security. For years, Sonar has been one of the most popular integrations in Cortex. Teams rely on Sonar’s deep code insights to identify vulnerabilities, ensure coverage, and raise the bar for clean, secure code.

On October 23rd, we announced the beta availability of silicon-optimized AI models in Ubuntu. Developers can locally install DeepSeek R1 and Qwen 2.5 VL with a single command, benefiting from maximized hardware performance and automated dependency management. Application developers can access the local API of a quantized generative AI (GenAI) model with runtime optimizations for efficient performance on their CPU, GPU, or NPU.

Redgate Monitor now surfaces two common SQL Server query issues that usually take manual work to uncover: cancelled or aborted queries and high memory-grant queries. You can now see both in the Query Executions view for each SQL Server instance, directly alongside server activity and alerts, so you can diagnose the cause much faster. Recently, Redgate Monitor introduced the Query Executions feature for SQL Server instances, using Extended Events to capture execution details for individual queries.

The financial services industry is undergoing a major transformation. According to the McKinsey & Company 2025 Global Payments Report, digital payments continue to dominate, generating approximately $2.5 trillion in revenue from around $2.0 quadrillion in value flows across 3.6 trillion transactions worldwide. In another survey conducted by JP Morgan says that, more than 30 percent of financial professionals reported that faster payments are having a positive impact on their organizations in 2025.

With AI the centerpiece of technology and innovation today, energy efficient computing is quietly becoming one of the most urgent challenges. In this article, we will discuss what makes energy efficient computing relevant for your organization, especially when modern resource-intensive AI workloads play an important role in driving your business operations and services.