ScienceLogic Introduces Behavioral Correlation
April 21, 2020
Share this

ScienceLogic unveiled its latest innovation in context-infused AIOps—Behavioral Correlation—which enables IT teams to identify, troubleshoot and remediate service-disrupting events before end-user impact can even be detected.

Modern IT environments breed complexity through the proliferation of applications and data, outstripping human capacity for analysis and response. Operations teams pressured to hunt down and fix customer-impacting IT events are often constrained by antiquated methods founded on human-centered analyses. With Behavioral Correlation, ScienceLogic introduces a radically more efficient approach, leveraging machine-speed detection and remediation. Real-time service health and risk can now be understood at a glance, allowing IT teams to rapidly address issues when they occur or even intercept potential service-impacting issues before they happen.

Behavioral Correlation for ScienceLogic SL1 is delivered through tightly integrated core capabilities:

- A comprehensive, real-time data lake that captures multimodal data types and their relationships.

- The ability to map and visualize IT services, their underlying dependencies, and associated health, availability, and risk.

- Machine-learning techniques that reason over these service topologies to detect the root cause of issues or anomalous behavior, and can recommend actions to address.

The end result is a system that provides holistic visibility into complex IT estates through an intuitive, service-centric lens. Decision-makers can quickly understand the impact, root causes and relative priority – ensuring IT is spending time on what matters most to the business.

“This is a game-changing innovation that buries the old-school, reactionary approach to IT event management. We can now instantly provide a real-time picture across the entire ephemeral state of IT – pinpointing where service degradation is happening, which issues should be prioritized, and the potential business impact,” said Dave Link, ScienceLogic CEO. “The cohesive, service-level view alleviates IT teams scrambling from one incident to the next and empowers providers worldwide to deliver a resilient customer experience.”

With IT teams free from the 1990s war rooms and defensive positions battling “event storms,” they can embrace a new standard for situational awareness to help drive faster root-cause analysis and time to resolution.

ScienceLogic customers will be able to access this new capability through the latest Colosseum Release due out in late Q2, 2020.

Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...