Reducing MTTR with IT Automation Software

As your architecture gets more complex, detecting and resolving problems gets exponentially harder. Ensuring superior availability and performance of IT systems and business services is essential for delivering exceptional customer experiences and maintaining employee productivity. Yet, as IT operations teams seek to reduce mean time to repair (MTTR), they are increasingly challenged by highly distributed architecture, disjointed tools, and manual processes for remediating issues when they arise.

ScienceLogic can help. The ScienceLogic AI Platform leverages IT automation software with AI and machine learning to proactively detect problems, accelerate troubleshooting, and dramatically reduce MTTR. With SL1, part of the ScienceLogic AI Platform, you can automate the tasks of monitoring and remediating incidents across even the most complex hybrid cloud environments.

The challenge of preventing downtime in hybrid environments

System downtime doesn’t just impact workforce productivity and customer experience in the moment—it also results in more long-term, hidden costs to your organization. When things aren’t working, customer satisfaction begins to drop. Productivity takes a hit, as does your company’s reputation. And excessive ticket backlogs inevitably lead to morale problems among your ITOps team.

Clearly, simplifying incident resolution and reducing MTTR is critical to business viability. However, the scope and complexity of modern IT environments makes it increasingly difficult—if not impossible—for human IT teams to consistently monitor system health, detect problems, and accelerate repair. Hybrid environments are increasingly diverse, distributive, and dynamic, encompassing an unwieldy mix of legacy and modern infrastructure. Teams managing service levels must deal with massive increases in the volume, velocity, and variety of data.

Modern IT operations monitoring and observability tools are continuously improving in their ability to collect data, analyze it, and scale as environments grow. But with the scale, complexity, and speed of change in IT environments, these tools still require human intervention to know what to look for and where to start. That means the bottleneck preventing faster MTTR is now the human brain – which isn’t getting faster. While ITOps teams and their monitoring tools can pinpoint symptoms of an issue quickly, it takes much longer to identify the root cause of a problem and prevent it from happening again.

IT automation tools leverage AI and machine learning to enable more autonomous systems and a better approach to MTTR. The right platform will automatically monitor all IT resources and applications that power business services, generating alerts on any changes while providing context on how they may affect particular business services. By correlating information across resources, IT automation software can determine root cause and provide actionable recommendations on how to permanently fix the issue.

IT automation software from ScienceLogic

The ScienceLogic AI Platform is an IT infrastructure monitoring and AIOps platform that supports digital transformation by removing the difficulty of managing complex, distributed IT services. ScienceLogic empowers intelligent, automated IT operations to drive business outcomes with actionable insights and to free up time and resources.

ScienceLogic’s Skylar Automated RCA automatically ingests and analyzes thousands of log streams from applications and infrastructure in real time to identify and remediate both surface issues and underlying root causes. Your ITOps teams can reduce MTTR further by integrating existing incident management workflows with automatic root cause identification.

SL1, part of the ScienceLogic AI Platform, continuously monitors the health of your entire IT ecosystem, alerting you when important or service-impacting events occur. To accelerate troubleshooting and remediation, SL1’s IT automation software offers nearly 900 best-practice automations that automatically collect diagnostic data, automate troubleshooting, and speed resolution without human intervention. As a result, you can significantly reduce MTTR and free your team to focus on more value-added work.

The benefits of SL1’s IT automation software

With traditional tools, your teams must tackle crises by locating best practice guidelines, looking up credentials, remotely logging into devices, and running diagnostics or remediation commands using multiple tools. These delays cause longer service outages, higher operational costs, and frustration for your ITOps team and customers. IT automation software from ScienceLogic automates these tasks to accelerate troubleshooting and remediation.

Automatically capture diagnostic data 
SL1 enriches events and incidents with real-time diagnostic data. That means you can stop spending time re-creating issues, looking up credentials, and manually collecting data. By automatically capturing critical diagnostic data from multiple sources at the time of the event, SL1 lets you get started quickly to accelerate incident resolution.

Remediate issues faster 
Run diagnostics and remediation commands on remote devices from within SL1, without the need to look up credentials. To speed remediation, SL1 provides a library of best-practice workflow automations along with tools to build your own automations.

Prevent long-term problems  
SL1 prevents repetitive issues from causing downtime by leveraging collected diagnostic data, forensically identifying common problems, automating remediation, and repairing actions.

Why choose ScienceLogic?

ScienceLogic is a global leader in automated IT operations, providing modern ITOPS teams with technology that offers actionable insights for predicting and resolving problems faster. Our solutions accelerate digital transformation by eliminating the difficulty of managing complex, distributed IT services. Our patented discovery techniques see everything within an IT ecosystem, delivering greater visibility across all technologies, data centers, vendors, and clouds.

The ScienceLogic AI Platform combines AIOps and hybrid cloud monitoring with network automation tools, application performance management (APM) tools, cloud network monitoring tools, and more.

With IT tools consolidation on the SL1 platform, teams can monitor their entire IT footprint to see data wherever it’s located, automate root cause analysis to fix incidents faster and avoid repeat issues, and leverage AI/ML technologies that automatically map dynamic relationships, dependencies, and behaviors. With ScienceLogic, organizations can manage IT environments at speed, scale, and in real time.