Operations | Monitoring | ITSM | DevOps | Cloud

In the last decade or so, network infrastructure has undergone a massive transformation. With the rise of hybrid cloud, distributed applications, and software-defined everything, managing networks has become exponentially more complex. What used to be a stable, predictable environment is now a constantly evolving system of interconnected services, protocols, and devices, each with its own telemetry, APIs, and failure models.

We’re excited to announce that ScienceLogic has been recognized in the 2025 AI Breakthrough Awards as the winner of “Predictive Analytics Platform of the Year.” This marks our second consecutive win in the program—and highlights our leadership in shaping the future of intelligent automation and observability. As organizations move from traditional monitoring toward autonomous operations, the need for real-time insight, automation, and predictive intelligence has never been greater.

AIOps (Artificial Intelligence for IT Operations) is not only a game changer, but the need of the hour as modern IT grows and becomes increasingly complex. The promises of AIOps are both overwhelming and tantalizing. AI-powered monitoring and observability can help predict issues, automatically resolve incidents, and optimize performance across the IT infrastructure. However, onboarding an AIOps monitoring tool can be more complicated than it sounds on paper.

It’s official: ScienceLogic has entered the observability arena. Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms, we believe we’re helping define where observability is heading, not just where it’s been. This marks our first inclusion in this Magic Quadrant and, in our opinion, validates our mission to redefine intelligent, actionable observability in the era of AI and automation.

As global cyber threats continue to evolve at unprecedented speed, the United States public sector faces growing pressure to enhance operational readiness. Agencies must now contend with adversaries who are not only well-funded but also increasingly sophisticated in their ability to exploit visibility gaps. In the face of this dynamic threat landscape, the Zero Trust Architecture (ZTA) model has become an essential security framework.

June 12 started like any other Wednesday–until the internet broke. It started with Google Cloud’s Identity and Access Management (IAM) system, but the fallout hit everything built on top of it. Widespread service degradation swept across core Google products and third-party platforms. Gmail, Docs, Meet, and Chat went dark. Cloudflare services were unavailable. Developer and AI tools faltered.

Today, BigPanda released our first-ever research report based on data gathered from our agentic IT operations platform. Our Monitoring and Observability Tool Effectiveness for IT Event Management report provides insights and benchmarks on incident detection and noise reduction for 130 enterprise organizations, including the monitoring and observability data sources integrated with BigPanda.