Operations | Monitoring | ITSM | DevOps | Cloud

Imagine you are building an e-commerce app. Every time a customer places an order, a lot happens behind the scenes. For example, you need to charge their card, update inventory, create a shipping label, and send a confirmation email. You could try to write one giant program that does everything in the correct order, but that quickly becomes a tangled mess — especially if something fails halfway through (say, payment succeeds but inventory update fails).

As systems grow, understanding how a request moves across multiple services becomes harder. Traces help bring this picture together by showing the exact path a request takes, along with the timings that matter. Grafana Tempo is built for this kind of workload. It stores traces efficiently, works well with OpenTelemetry, and keeps the operational overhead low.

Improve ExpressRoute reliability with these deployment models and strategies for stronger cloud resilience, powered by Megaport. Every year, businesses become even more reliant on their network for the success of their entire operations. For the 350,000+ companies using Microsoft Azure, building resilient, reliable network connectivity to this service is essential.

SQL Prompt’s November release brings new features to SQL Prompt AI, bug and performance fixes to SQL History and support for SQL Server 2025 preview.

The concept of digital sovereignty has become increasingly important in today's technology-driven world. As organizations rely more heavily on cloud services and artificial intelligence (AI), they face new challenges in maintaining control over their data and IT resources. At Civo Navigate London, we brought together industry leaders to discuss the topic of digital sovereignty and its implications for the cloud industry.

Most developers spend too much time digging through tabs and switching between tools, rather than actually writing code. According to an IDC survey, only 16% of their week goes to coding, while the rest is lost to what researchers call “organizational inefficiencies” – all those little things that slow teams down.

If there’s one thing every IT leader can agree on, it’s this: Manual Active Directory (AD) management never ends. There’s always one more access request, one more approval chain, and one more audit reminder flashing on your screen. By the time you’ve closed your last ticket of the day, there’s already another one waiting. For many teams, 2025 became the year of “we’ll automate next quarter.” But next quarter came and went without any automation.

We are thrilled to announce a major update to our Python Connectors line. The release adds support for Python 3.14, PostgreSQL 18, MySQL 9, and MariaDB 12, introduces modern authentication and security options, and delivers notable performance gains across several connectors.

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.

Like many of you, over the last couple of years, I’ve been using AI, or, well, let’s just name it appropriately, Large Language Models (LLM), as a part of my job. I’ve also used it in my hobby. With it, I’ve generated snippets of code, tested data conversions, even built a small database for a presentation. However, to date, I haven’t tried doing everything through the LLM. Now, I’m going to.