The next generation of IT operations monitoring tools

Monitoring IT operations has never been more challenging. IT environments are now highly distributed and comprise multi-clouds, containers, and microservices that create multiple layers of technologies to monitor. At the same time, technologies are increasingly interrelated, with complex sets of dependencies between an ever-expanding collection of business services and applications. Legacy IT operations monitoring tools simply can’t keep up with the pace of change.

Artificial Intelligence for ITOps, or AIOps, is transforming operations monitoring by using machine learning and automation to move at the speed your business requires and your customers expect. As a leader in automated IT operations management, ScienceLogic offers an AIOps platform that consolidates IT operations monitoring tools, improves visibility, and accelerates remediation to improve time to resolution.

The benefits of consolidating IT operations monitoring tools

Today’s enterprises often rely on 20+ tools to manage and monitor IT operations. The result is higher costs and greater complexity that can reduce productivity and increase the risk of business disruption.

Consolidating IT operations monitoring tools with the ScienceLogic AI Platform offers remarkable benefits.

• Reduced IT operations costs. With a single solution, you can replace multiple point solutions, cutting acquisition and support costs. You’ll also reduce vendor management costs and complex contract renewal processes.
• 100% coverage: Legacy IT operations monitoring tools were designed for environments built around data centers rather than environments with a mix of clouds, containers, and microservices. With the comprehensive toolset on the ScienceLogic AI Platform, you can see what’s happening in your clouds and in your data centers, how they are related, and how they impact the business.
• A unified view. When you’re using multiple IT operations monitoring tools, you’re bound to have silos of performance data that create visibility gaps. Legacy tools simply can’t provide end-to-end visibility of cloud and containers, and integrating data from multiple sources is time-consuming and error-prone.
• Data integrity and accuracy: With a single monitoring platform, you can count on higher precision and verifiability of your business data and work with a single, coherent system of information.
• Increase productivity: Consolidating your IT monitoring tools minimizes system noise, reduces tool fatigue, and enables faster IT remediation.
  Avoid business service impact. Legacy tools don’t allow your teams to understand the interdependencies in the dynamically changing relationships between application infrastructure. As a result, you’re vulnerable to disruptions that can impact customer experience and revenue. With SL1, your teams get the context and insights required to identify issues accurately, remediate problems faster, and avoid disruption of business services.

ScienceLogic: AIOps tools for monitoring IT operations

ScienceLogic’s AI Platform is the ideal solution for consolidating existing IT operations monitoring tools and establishing a real-time operational data platform.

SL1, part of the ScienceLogic AI Platform, delivers a unified view of all your IT resources, no matter where they reside. Using a variety of collection methods, SL1 feeds data into an operational data lake in real time, so you can see what’s in your environment. SL1 then applies context to make data more meaningful and actionable. It connects the dots between the breadcrumbs left by operational patterns so you can understand how each layer interrelates and interconnects. With this insight, you can apply machine learning and analytics and drive automations that reduce meantime to repair.

SL1 delivers:

• A complete solution: SL1 eliminates the need to purchase and integrate a variety of IT operations monitoring tools for observability, analytics, and automation. As a result, you can reduce your tool footprint by 98%.
• Deeper AI/ML insights: Data contextualization and generative AI take you to the heart of complex issues quickly, providing rapid, accurate recommendations without flooding the inboxes of team members. SL1 communicates causes clearly and connects different teams to increase effectiveness and efficiency.
• Integrated agility: SL1 offers tools for detailed resource discovery and monitoring along with versatile automation to remediate complex issues.
• Ease of use: SL1 integrates easily with your operations environment to increase effectiveness, heighten efficiency, and improve the morale of your expert IT team.

Monitoring tools for superior business outcomes

The IT Ops management and monitoring tools on the ScienceLogic AI Platform enable your teams to achieve remarkable benefits.

Get deeper insights from your entire IT stack 
With integration for hundreds of physical devices, cloud services, and software stacks, SL1 is the only AIOps solution for observing the breadth of hybrid IT operations today. Your IT leaders can use a single platform to build an AIOps strategy for your true technology stack. SL1 accommodates custom devices and services, allowing teams to close visibility gaps. A low-code, custom integration toolkit lets you integrate non-COTS devices and service data.

Stop outages before they happen 
Predictive IT intelligence and integrated anomaly detection leverage machine learning and automatic AI algorithm selection to continuously analyze system behavior faster and more comprehensively than human IT professionals. When SL1 detects unusual behavior, it also quantifies potential impact, prioritizes remediation, and automatically takes action. When paired with SL1’s powerful operations automation, predictive analysis can help reduce incidents by up to 75%.

Automate root cause analysis 
To optimize IT operations, ScienceLogic uses ML-driven event analysis to automatically learn and understand the millions of events that crisscross your IT environment. By identifying and correlating event details, SL1 can quickly determine the specific root cause of any service issues. Then, using an IT-aware Large Language Model and generative AI, SL1 explains the root causes of issues in plain language that all operators can understand. With an accuracy rate of 96% or higher when automatically identifying the cause of issues, SL1 provides ITOps teams with the ability to remediate incidents quickly.

Automate Incident Management 
SL1’s IT operations monitoring tools use powerful automation to close traditional gaps in detection, analysis, and resolution. The platform integrates easily with ITSM systems like ServiceNow to create and synchronize tickets, enriching incident detail with correlated troubleshooting data. Advanced IT automation tools can recommend appropriate runbook actions or automate device and application configuration. As a result, SL1 enables 94% faster mean time to resolution (MTTR) to get services back online in seconds or minutes rather than hours or days.

Why choose ScienceLogic?

ScienceLogic delivers actionable insights that empower automated IT operations and help to predict and resolve problems faster in a digital, ephemeral world. The ScienceLogic AI Platform comprises multiple solutions, including tools for AIOps, hybrid cloud monitoring software, observability, cloud network monitoring, and network automation. By combining integrated generative AI, automation, and data capabilities, ScienceLogic helps organizations around the world to accelerate the journey toward autonomic IT and the autonomous business.