In the previous blog in our root cause analysis with logs series, we explored how to analyze logs in Elastic Observability with Elastic’s anomaly detection and log categorization capabilities. Elastic’s platform enables you to get started on machine learning (ML) quickly. You don’t need to have a data science team or design a system architecture. Additionally, there’s no need to move data to a third-party framework for model training.

Datacom and ScienceLogic have partnered to accelerate digital transformation efforts across the public sector.

If you’re in IT operations or manage NOC, SRE, and DevOps teams, chances are your IT environment is growing complex for you and your teams to manage. Any enterprise, large or small, around the globe, is continuously changing its IT stack due to evolving business requirements and significant industry trends. But digital transformation, hybrid infrastructure, DevOps adoption, and continuous integration and continuous delivery (CI/CD) pipelines are all causing major headaches.

More data for data’s sake doesn’t help anyone. What organizations need is more information–actionable insight. With data coming from incoming streams of events and alerts, teams don’t have enough time to look at each one. And they struggle to parse and consolidate this data in order to figure out what they need to do next to resolve an incident.

Hybrid computing is the reality of most federal agencies today.

PagerDuty’s Global Event Orchestration is now generally available. Global Event Orchestration’s powerful decision engine enriches events, controls their routing, and triggers self-healing actions based on event data. Teams can use this functionality across any or all services within PagerDuty. This feature is a continued investment in Event Orchestration, demonstrating PagerDuty’s commitment to providing customers with best-in-class automation capabilities.

The average cost of an IT outage is $12,900—per minute. And when it comes to a “significant outage,” organizations reported the average overall cost was a whopping $1,477,800. On the latest podcast episode of That’s great IT, I spoke with Scott Lee, AVP for infrastructure and ITOps at Arch Mortgage Insurance Company, part of Arch Capital Group, about how organizations can best navigate IT outages.

Today, PagerDuty launched a new AIOps solution to leverage the power of AI, provide built-in automation and build on the company’s foundation data model to transform modern operations for the enterprise. PagerDuty has long suppressed noise to help distributed development teams focus.

Root cause analysis (RCA) is a systematic approach to defining symptoms, identifying contributing factors, and repairing faults when problems arise. The process can be applied to virtually any problem in any industry, from NASA’s Apollo 13 mission to everyday tech problems that happen within modern IT departments.

I see it daily in my role, IT organizations are paying for best-of-breed monitoring tools but struggle to tie the pieces together between these siloed systems. The wound of these silos is further punctured when incidents arise. Incidents are costly for so many reasons, like wasted company resources, potential revenue loss, customer satisfaction, employee burnout, etc. This is exactly why BigPanda exists, to apply AI to the complex problems IT operations, NOC, SRE, and DevOps teams face daily.

In the modern IT era, most organizations are heavily on their IT infrastructure to stay relevant and competitive. However, managing complex IT systems can be a daunting task, as the volume of data grows and IT environments become more heterogeneous. To address these challenges, many organizations are turning towards artificial intelligence for IT operations (AIOps)—an approach that leverages AI and ML to streamline IT operations, improve efficiency, and reduce downtime.