Here at incident.io, we're always pushing the boundaries of incident management and seeking new ways to enhance your on-call experience. That's why we're excited to announce our latest feature that's set to level-up the way you respond to incidents.

AI has had a massive impact on every part of our lives, but mainly on how we consume large data sets easily. The observability world is based on collecting enormous amounts of data and consuming it by observing dashboards built on monitoring tools. Most of the o11y tasks like writing complex queries, creating dashboards & defining alerts, have been done much in the same way for the last decade & AI models are well-positioned to disrupt this modus operandi.

Software complexity makes it harder for teams to rapidly identify and resolve issues. IT service management has evolved from an afterthought to a central part of DevOps. Microservices architectures are prone to delay or missed identification of such concerns. Monitoring mechanisms need to keep up with these complex infrastructures. Maintaining reliability and performance while harnessing this complexity requires a considered, data-driven approach.

Over the past decade, the cloud computing landscape has transformed remarkably, evolving from a nascent technology into a fundamental component of modern digital infrastructure. As the technology has evolved, so too has the need to develop complex cost optimization strategies. A decade ago, businesses grappled with the complexities of brand-new cloud services, often facing challenges in managing costs due to opaque pricing models and a limited understanding of cloud economics.

NestJS is a popular and powerful open-source framework for building scalable and maintainable server-side applications with Node.js. It was developed by Kamil Myśliwiec and first released in 2017. NestJS is inspired by Angular, which brings familiarity and a structured approach to building back-end applications.

Logs provide valuable information that can help you troubleshoot performance issues, track usage patterns, and conduct security audits. To derive actionable insights from log sources and facilitate thorough investigations, Datadog Log Management provides an easy-to-use query editor that enables you to group logs into patterns with a single click or perform reference table lookups on-the-fly for in-depth analysis.

In early 2024, ScienceLogic published a new book chronicling the company’s pioneering AIOps Journey. Authored by CEO Dave Link, the book, “Innovation: Journey and Outcomes for the AIOps Revolution,” delves into the narrative of how the ScienceLogic’s SL1 platform has grown to empower organizations to navigate the intricate challenges of managing complex, distributed IT services with unparalleled speed, scale, and real-time precision.