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AIOps

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

The Urgency Driving AIOps into Your Enterprise

AIOps was once considered just a back-office fundamental, a solid suite of tools simplifying routine security and network monitoring tasks that primarily served the IT shop. The accelerated pace of digital transformation is changing that. Now, IT service and operations teams are in the spotlight and tasked with enabling business performance that help their companies provide seamless digital experiences and evolve in a fast-changing economic environment.

Modernizing Your IT Operations with a Secure Foundation

This is the first of a four-part security blog series covering why ScienceLogic is listed in the DoDIN APL catalog, what this means for monitoring critical IT infrastructure, and why APL certification is relevant for all organizations. Part one is all about trust and transparency—foundations for a secure platform.

OpsRamp, TietoEVRY Partner to Speed AIOps Adoption in Nordics

Managed service providers have to manage complex and diverse customer environments that typically include hybrid infrastructure and multiple monitoring feeds. They need to be able to discover and monitor these environments, correlate alerts from multiple systems into single events, and map business services to the infrastructure and application services that support them, building customer-centric dashboards for real-time service and application health in the process.

Achieving 86% Productivity Gains Through ITSM Automation

Manual incident management is an enormous challenge facing today’s enterprises. It wastes time and money, and often results in unhappy customers who have to deal with unreliable services because of persistent, unresolved issues. Manual ticket generation can take 20 to 30 minutes, and routing another 90—assuming the ticket is delivered to the right team.

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AIOps - What It Is, Why It Matters, and Advice for Adopting It

The link between DevOps and artificial intelligence for operations (AIOps) has only started to become clear within the last few years. Monitoring and alerting has evolved from a "black box approach," where you don't actually know what's happening, into observability, where you have access to data that provides everything you possibly need to know about your IT systems. How does AIOps come into play? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations. Since it entered as a formal discipline with Gartner in 2016, IT teams have been trying to figure out how to employ it to make their lives easier.

Should you care about AIOps? Obviously.

There's a lot of hype in the marketplace about AIOps right now, and there's a lot of people who've got some interesting ideas about what it should be. The most common idea that I hear is that it's essentially a layer of AI magic that sits across everything that you've got in your IT tooling today and then make sense of all of that for you and then we'll decrease the number of incidents you have and reduce your MTTR...

Global Manager: Operate Complex IT Environments Across SL1 Stacks In a Single View

Customer Experience is at the heart of ScienceLogic product design, especially making the power of the SL1 platform easy to use. The latest release brings a slew of user interface (UI) and workflow improvements, as well as significant enhancements to the SL1 Global Manager. In this video you’ll learn how Global Manager allows teams to consolidate operations across multiple environments a single dynamic view. You’ll also discover how supporting distributed operations, regional data homing to support regulatory requirements like GDPR, multitenancy, and specialist team support is easier than ever with ScienceLogic SL1.

Resolve Customer Cases Faster with Automated Case Management

When problems occur, IT Operations must often address a recurring challenge first: wasted time. Before they can resolve the actual issue, they must manually collect critical diagnostic data from a variety of tools, open tickets, and finally route fully populated incidents details to the correct team for resolution. These delays extend service outages, increase operational costs, and worst, frustrate customers. In this video you’ll learn how ScienceLogic SL1 shrinks MTTR by automatically opening tickets, populating critical troubleshooting details, and route them to the right person at the right time.