Operations | Monitoring | ITSM | DevOps | Cloud

Digital employee experience doesn’t fail because of technology. It fails because of operating models. Many digital workplace leaders invest in visibility tools, dashboards, automation capabilities, and sentiment platforms. And yet, months later, they’re still stuck in reactive mode. Tickets are down slightly. Reporting is better. But the organization hasn’t fundamentally shifted.

Support teams frequently face vague customer reports and incomplete data but need to offer fast resolutions autonomously without escalating to developers. In this article, learn how to equip support engineers with tools to diagnose root causes in minutes, increasing self-sufficient issue resolution. We explore eliminating the ‘Reproduction Tax’ for ‘cannot reproduce’ bugs using runtime context to achieve technical certainty at scale.

Reducing Mean Time to Resolution (MTTR) in production systems requires understanding failure behavior in real time. While AI code agents significantly accelerated software development and deployment, incident resolution has remained constrained by incomplete pre-captured telemetry. AI SRE tools improve signal correlation, but MTTR reduction requires runtime-verified diagnosis that confirms execution behavior directly in production systems.

If you’re running Icinga in a mid-to-large organization, chances are your users and teams are already defined in LDAP or Active Directory. Manually re-creating contacts and contact groups in Icinga Notifications Web is tedious and error-prone, but thankfully, it doesn’t have to be that way. The Icinga Notifications Web REST API gives you everything you need to automate this synchronization. In this post, we’ll walk through how to build a reliable LDAP-to-Icinga sync using the v1 API.

Aiven's PG Studio is now in Early Availability, allowing you to work with your Aiven for PostgreSQL instances, directly in the Aiven Console. Over the last several decades, PostgreSQL has been steadily climbing its way to the top of popularity amongst DBAs and app developers. With the rise of AI development, PG has become the tool that you can build with at many different development stages. This starts at the home of your data, which is the Aiven for PostgreSQL service page in the Aiven Console.

Imagine it’s 2 AM and a critical system flatlines without warning. A bleary-eyed on-call engineer scrambles to restore service, shielding customers from a major outage that could torpedo your next Service Level Objective (SLO) review. Yet when daylight returns, debates over fair on-call compensation start all over again: What’s “just” pay for sleepless nights, unpredictable pings, and rapid-fire incident responses?

Shipping velocity has never been faster, but reliability can’t be the trade-off either. For engineering leaders, deploying AI for operations is no longer optional. The question is whether you’ll lead the transformation or fall behind. The hard truth? Organizations can’t keep relying on humans as the first line of defense. Not when the pace of shipping has never been faster. It’s simply not scalable.

In the world of modern microservices, scale is a necessary challenge. Enterprise service inventories start modestly with a handful of components, only to balloon to hundreds over time. Traditional monitoring approaches cannot support that weight. The more organizations build, the more work they create, often only to keep systems running.

RFID asset tracking software is rapidly becoming a key technology for organizations that manage large volumes of equipment, tools, and operational assets. Businesses across industries such as manufacturing, healthcare, logistics, and education rely on RFID technology to maintain accurate asset records and improve operational visibility.

Westminster is starting to recognise the importance of technology sovereignty. The recent Westminster Hall debate on technology sovereignty was encouraging to see. For those of us working in the UK technology sector, it felt like an important moment. Conversations about cloud infrastructure, data control and platform dependency have been happening inside the industry for years.