Operations | Monitoring | ITSM | DevOps | Cloud

With the complex and steadfast growth of IT service delivery processes, organizations and their internal teams have come to rely on several tools in their toolbox to deliver best-in-class products and services. The use of AIOps, AI/ML, and overall automation has shaped modern delivery methods, but what we call this process, and how we grow to advance it, has yet to find a definition that’s universally recognized.

When your software powers productivity for millions of users, trust becomes your ultimate currency. Trust is earned through transparency, clear communication, and unwavering reliability—especially when disruptions occur. Microsoft learned this lesson recently during a significant outage that took down two of its flagship services: Outlook and Teams.

Picture this: your alerting system needs to tell you it's broken. Sounds like a paradox, right? Yet that’s exactly the situation we face as an incident management company. We believe strongly in using our own products - after all, if we don’t trust ourselves to be there when it matters most, why should the thousands of engineers who rely on us every day? However, this poses an obvious challenge.

These days, IT infrastructures are so complex, and cyber threats are so advanced, that it's not a question of if an incident will happen but when. To effectively respond to these challenges, a reliable incident management tool is an absolute necessity. The right tool can significantly reduce the impact of incidents, minimize downtime, keep your data safe, and protect your business.

What is the future of software development and deployment? DevOps processes have helped take developers and operations folks out of their silos and share responsibilities. But is it enough to succeed long term? Many companies have yet to embrace DevOps completely across their teams. Clearly, the culture of sharing tools, a key aspect of DevOps, is not enough.

Artificial Intelligence for IT Operations (AIOps) transforms how IT teams manage increasingly complex infrastructures. But what is AIOps? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations.

After releasing our first version of the ilert dashboard as a static layout, we knew we wanted to take it further by allowing users to customize and arrange widgets freely. We aimed to provide a truly interactive experience, which led us to search for a library that could handle drag-and-drop and resizing functionalities while integrating well with our existing tech stack.

I joined ilert as a student front-end software developer. Before, I was mainly writing iOS apps. Even though I already had some experience with web technologies, diving deep into front-end development was a huge step. Both developing iOS apps and web apps share the same kinds of tasks, such as developing the user interface (UI) and writing app logic. However, the actual development environments are completely different.

In today’s fast-paced digital landscape, service reliability is not just a technical challenge—it’s a critical business need. Downtime can cost organizations millions, and customer trust is easily lost but difficult to regain. Service Reliability Management (SRM) emerges as the cornerstone of delivering consistent and dependable services that meet both customer expectations and business goals.