Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on AIOps, alerting in complex systems and related technologies.

Aggregate, correlate, and act on alerts faster with AIOps-powered Event Management

Maintaining service availability is a challenge in today’s complex cloud environments. When a critical incident arises, the underlying cause can be buried in a sea of alerts from interconnected services and applications. Central operations teams often face an overload of disparate alerts, causing confusion, delayed incident response, alert fatigue, and redundant resolution efforts. These issues can negatively impact revenue and customer experience, especially during an outage.

Unveiling the power of AI in incident management

The emergence of AI opens new and innovative possibilities, simplifies operations, and boosts overall success. With AIOps, your technical organization can achieve unparalleled efficiency, productivity, and profitability. This cutting-edge technology leads us toward a brighter, more prosperous future with exciting opportunities to grow and thrive.

Improve incident triage with AIOps to reduce downtime

Downtime is expensive, both to your budget and your brand reputation. As IT outage costs increase, it’s critical to identify and prioritize incidents quickly to minimize the impact on your organization. In a recent survey of more than 400 global IT professionals, Enterprise Management Associates found that unplanned downtime costs average $14,056 per minute. That’s an increase of nearly 10% from 2022.

Recurring 'Service Restart' Remediation with Resolve Actions

In this demonstration we break down Resolve's incident automation, which helps identify recurring IT issues by searching for previous incidents within a specific timeframe. If multiple incidents are detected, the automation flags the issue as chronic, updates the incident, and assigns it for further investigation to prevent endless retries. This system expedites resolving recurring IT issues. What you'll learn.

ScienceLogic in Action: Real World Examples of IT Operations Optimization

It’s one thing to conceptualize a solution to streamline and automate IT operations in modern hybrid cloud environments, but it’s another entirely to build a platform that stands up to the genuine rigors of real-world large enterprise use cases. With the ScienceLogic SL1 platform for IT operations monitoring and management, we deliver the right combination of capabilities and features designed to work together seamlessly at scale, not in abstract, in real time.

Experience the convergence of IT & IoT with our CMO, Shailesh Manjrekar | CloudFabrix

Cisco Observability - AIOps Bridging Industry & IT CloudFabrix’s Cisco Observability Platform Modules accelerate your industrial automation journey by offering a unified view of shop floor operations and shared infrastructure.

BigPanda Alert Remediation - IIS WebApp Down

This demonstration showcases an example of alert auto-remediation. The alert in this example comes from BigPanda and it automatically kicks-off a Resolve workflow. You'll learn: Resolve's ability to integrate with observability platforms like BigPanda How self-healing workflows drive faster MTTR How to use event-based triggers for real-time response.

Automated Active Directory Health Scans

In this video, we highlight a Resolve Actions automating active directory health scans. We start with an IT ticket created within ServiceNow, which kicks off an active directory scan putting security front and center. Watch to learn: How Resolve's out-of-the-box integrations with leading ITSM and others speeds up time to market How automated AD cleanup can plug security loopholes How Resolve's systems can automatically close tickets, minimizing human input end-to-end.

Consolidate Tools and Solve Enterprise Tech Sprawl with ScienceLogic SL1

The proliferating array of technology tools within many organizations today can make it exceedingly difficult to get true visibility and insight into the IT estate. Amid this tech sprawl, teams find themselves siloed and struggle to monitor and manage diverse tool sets across the enterprise – a state of affairs that increases both costs and complexity while limiting the ability to accurately assess, optimize, and enhance operations.