Operations | Monitoring | ITSM | DevOps | Cloud

Inconsistent SQL formatting is a silent productivity killer. The database will execute it, but for developers, poorly structured queries lead to slower reviews, harder debugging, and errors that slip through unnoticed. Over time, this lack of consistency compounds into costly technical debt. This guide shows how to format SQL code so it remains clear, consistent, and easy to maintain.

Manually deploying and managing OpenTelemetry components in a Kubernetes environment can be a complex and time-consuming task. It involves creating various Kubernetes resources, setting up configurations, and ensuring the components are properly integrated with the applications.

The past month we dedicated time and resources into optimising the speed and experience of our public website, our dashboard and our behind-the-scenes uptime checks that we perform. Overall, our website and dashboard feels about 2x to 3x faster. The biggest gains are for our users that have > 100 sites on their dashboard, they'll get a noticeably faster loading time. For those biggest users, the dashboard is quite litterally 10x faster.

Inventory management today goes far beyond counting products in a warehouse. With the rise of multichannel sales, faster supply chains, and growing customer expectations, businesses need robust technological solutions and functionalities. A modern inventory management software does much more than track inventory levels—it becomes a true command center for business operations.

Service desk AI has become one of the hottest topics in IT. Everyone wants to slash ticket volumes, resolve incidents faster, and give employees the kind of instant, self-service support they expect in the modern workplace. The appeal here is obvious: fewer tickets, happier users, and IT teams finally freed from the grind of repetitive, reactive firefighting.

Modern data centers depend on multiple teams, each using their own systems—CMDBs, ticketing platforms, cloud and virtualization tools, network and server management software, observability stacks, collaboration apps, and countless spreadsheets. Each tool provides important insights, but together they create a complex and sprawling technology landscape.

Logstash has been a workhorse in data processing pipelines for years, but it was not designed with today’s security operations in mind. Security teams now deal with massive telemetry volumes, rising SIEM costs, and diverse log formats that require constant normalization. In this environment, Logstash shows its age: manual configuration, outdated parsing, and scalability bottlenecks introduce fragility instead of efficiency.