Evolven: Blended Analytics: Next Generation ITOA technology

Sasha Gilenson, Founder & CEO, EvolvenSasha Gilenson, Founder & CEO
Facing Big Data challenges, IT Operations teams are overwhelmed by the volume, variety, and velocity of IT information. After many years and billions spent on various tools, IT still suffers from numerous chronic performance and availability issues, continuing to invest valuable resources in complex and lengthy troubleshooting efforts. In fact, today’s best practice still relies on the ‘war room’—getting as many of the smartest IT specialists possible in one room. In each of their own silos, they go through operations data using their specific data subset and their own tools. Another problem is that these experts start by focusing on the “Symptoms” (an indication for undesirable conditions in the system behavior and health), while missing the true root cause of incidents –changes. Lastly, with limited analytics, they are left to manually attempt to crunch the available data and iteratively make educated guesses about where the root cause lies.

The war room practice results in a continuous struggle for the banking sector: there are still too many high priority incidents, troubleshooting takes too much time slowing down mean-time-to-resolution, the amount of resources spent on incident investigations is just too wasteful, and in the end IT is trapped in a reactive fire-fighting loop.
It’s time to break this vicious cycle and breakfrom the notorious, old war room practice.

“Our new Blended Analytics approach is a game changing ITOA technology that offers a solid, comprehensive model for correlating and analyzing cross silo data for unparalleled operational insights,” explains Sasha Gilenson, Founder and CEO, Evolven. Leveraging existing investments in IT tools, Evolven’s Blended Analytics approach overcomes IT silo barriers by collecting data from the various cross-silo data sources (including APM, log, network, deployment automation, service desk, and CMDB), and correlating them with changes– the true root causes of performance and availability issues.

Powerful analytics that rely on machine learning, anomaly detection and domain specific heuristics turn this data into actionable insights for slashing mean time to resolution, cutting the number of incidents and improving DevOps and Audits. Evolven’s Blended Analytics extends IT Operations visibility and addresses the central questions facing IT operations management about the true root cause of a problem. This prepares IT staff for gaining insights needed to prevent and quickly troubleshoot any flaws, and finally say goodbye to the war room.

Organizations that implemented the Evolven Blended Analytics solution have reported on achieving significant cuts to their Mean Time To Repair (MTTR), reduced number of incidents and downtime, and smooth error-free releases. In an implementation highlight, a large global banking and financial services organization used Evolven’s solutions to cut incident investigation and truncate MTTR. The IT Operations team faced the challenge of having to manually discover the root cause of issues, and hire additional time consuming resources to verify proper functionality, which added the potential for human error. For reducing incident investigation time, Evolven quickly identified the critical changes, allowing the IT team to focus on the true obstacle that had triggered the incident.

Our new Blended Analytics approach is a game changing ITOA technology for correlating and analyzing cross silo data for unparalleled operational insights

Going forward, Evolven will bring more intelligence to the data center, cloud and hybrid environments, raising the level of IT automation to include more powerful ways of predicting and fixing issues before they turn into incidents. “Within 5-10 years, we will see multiple vertical analytics that will merge into a unified analytics layer to serve as a brain of automated IT environments. Being a pioneer and innovator of the ITOA space, our goal is to expedite this evolution,” concludes Gilenson.

Evolven News

Evolven is Granted a New U.S. Patent for its Change Grouping Analytics Technology in IT Environments

JERSEY CITY, NEW JERSEY - Evolven Software, provider of the leading Change Analytics software for the enterprise cloud, today announced that it was granted a new patent from the United States Patent and Trademark Office. The patent covers its unique "change grouping analytics" technology that features a major part of the company's Changes Analytics solutions (which analyze and prioritize changes to configuration parameters of applications in information technology systems).

Specifically, the granted patent covers these capabilities:

• Multi-level clustering of changes based on similar characteristics (e.g. environment, action, artifact, impact, insight)
• The assignment of each cluster with a descriptor (based on context-free grammar)
• The identification of potential IT issues before they occur, or the ad-hoc investigation capabilities, based on the grouping technology

'Change Grouping' capabilities are essential today, as an average business system includes tens or hundreds of thousands of configuration parameters. If any of these parameters are misconfigured or omitted, the change may negatively affect proper operations of the IT system.

Evolven Change Analytics technology helps IT professionals keep track of configuration changes carried out in IT and cloud environments.

Evolven detects and analyzes granulars changes carried out in the hybrid cloud environment. The collected changes are grouped into clusters, represent IT actions that caused change to multiple configuration items.

Contextual-based grouping may include item location (e.g. similar root file path), environment (e.g. which operating system and what hardware is used), version and other details. The clustering may be performed in multiple levels wherein a different distance measure is used in each level, to further improve the clustering process of the configuration items.

This method provides extremely valuable analytics and insights to IT and business users, allowing them to prevent and better manage problems that can occur in IT systems, thereby significantly reducing mean time to resolution (MTTR).

"Changes are the root cause for over 90% of our customers' performance and stability issues," said Sasha Gilenson, Evolven CEO. "This patent strengthens the unique value of our Change Analytics technology that allows enterprises to track issues back to the changes that caused them originally for fast troubleshooting and future prevention."

Evolven's patented technology helps companies:
• Accelerate root-cause analysis and troubleshooting time
• Prevent performance and stability incidents
• Avoid compliance and security issues by automatically detecting unauthorized and undesired changes

"By leveraging Evolven's exclusive machine learning capabilities, enterprises can make important correlations across silos, recognize patterns, automatically identify anomalies, detect unauthorized changes and apply efficient troubleshooting by smart root cause analysis," said Boštjan Kaluža, Chief Data Scientist at Evolven. "With Evolven's AIOPs capabilities, IT professionals can generate actionable insights behind the huge amount of operations data, minimizing the time to find and diagnose stability issues, preventing outages and downtimes, and enhancing IT support around critical business services."