Loom Systems Launches AI Platform
February 07, 2017
Share this

Loom Systems announced an AI-powered operational analytics platform used for real-time detection and resolution for any type of application.

Targeted at DevOps and IT professionals, Loom instantly analyzes logs and semi-structured machine data for immediate visibility into a company’s digital environment. Accelerating the detection and resolution of IT problems in real-time, Loom helps reduce the cost and complexity of working with operational analytics. Via on-premises or SaaS installation, Loom Systems easily generates insights from raw data and with zero configuration or maintenance of the IT stack, including homegrown applications.

“Many organizations implement log analysis solutions using manual techniques, however very few organizations derive the data’s full value from those efforts,” said John L Myers, managing research director, Enterprise Management Associates – a Boulder, CO based industry analysis firm. “Today’s transformation towards digital economy based on mobile and online apps requires an automated process that can extract insights out of the logs from complex IT environments. Loom Systems empowers organizations to make this leap by automatically loading, preparing and presenting application log data. This allows for real-time analytics as well as providing an intelligence layer that ties log data to corrective action.”

Loom Systems takes digitized information in structured, semi-structured or uncommonly structured text format and structures it automatically. By mathematically modeling how humans analyze such structures, Loom Systems fuses analytical skills with computational speed to simulate and enhance the entire data analysis cycle. The solution considers each metric and tracks it to learn its unique baseline and behavioral pattern over time to detect anomalies and predict future trends.

Loom uses complex modules to determine whether a signal has shifted, as well as the type of shift that has occurred. The signal types are distinguished and anomaly detection algorithms are tailored to fit them. Signals are then automatically tracked in ways that complement their expected behavior.

Additional features and benefits of the Loom Systems platform include:

- Zero pre-processing required

- Detection of hidden and emerging issues in data and correlation of problems between all applications and services

- All data dynamically aggregated and correlated in real-time

- Automatic Root-cause Analysis

- Enrichment of alerts with insights and recommended resolutions from its Tribal Knowledge Bank, that contains a wide set of built-in recommended resolutions

“At Loom Systems, we’ve built a platform to understand, reason and learn about constantly evolving digital environments and operational complexity,” said Gabby Menachem, Founder and CEO, Loom Systems. “We build cognitive intelligence and expertise into a new set of tools that analyze logs, metrics and machine-generated data – just like DevOps application managers and IT professionals do every day – but with unprecedented speed and scale.”

Share this

The Latest

November 16, 2018

Everyone talks about automating the software development lifecycle (SDLC) but the first question should be: What should you automate? With this question in mind, DEVOPSdigest asked experts from across the IT industry for their opinions on what steps in the SDLC should be automated ...

November 15, 2018

We all know artificial intelligence (AI) is a hot topic — but beyond the buzzword, have you ever wondered how IT departments are actually adopting AI technologies to improve on their operations? ...

November 14, 2018

How can IT teams focus on the critical events that can impact their business instead of wading through false positives? The emerging discipline of AIOps is a much-needed panacea for detecting patterns, identifying anomalies, and making sense of alerts across hybrid infrastructure ...

November 09, 2018

In a recent webinar AIOps and IT Analytics at the Crossroads, I was asked several times about the borderline between AIOps and monitoring tools — most particularly application performance monitoring (APM) capabilities. The general direction of the questions was — how are they different? Do you need AIOps if you have APM already? Why should I invest in both? ...

November 08, 2018

There's no place like the web and smartphones for the holidays. With the biggest shopping season of the year quickly approaching, retailers are gearing up to experience the most traffic their online platforms (web, mobile, IoT) have ever seen. To avoid missing out on millions this holiday season, below are the top five ways developers can keep their apps and websites up and running without a hitch ...

November 07, 2018

Usage data is multifaceted, with many diverse benefits. Harvesting usage-driven insights effectively requires both good foundational technology and a nimbleness of mind to unify insights across IT's many silos of domains and disciplines. Because of this, leveraging usage-driven insights can in itself become a catalyst for helping IT as a whole transform toward improved efficiencies and enhanced levels of business alignment ...

November 06, 2018

The requirements to maintain the complete availability and superior performance of your mission-critical workloads is a dynamic process that has never been more challenging. Here are five ways IT teams can measure and guarantee performance-based SLAs in order to increase the value of the infrastructure to the business, and ensure optimal digital performance levels ...

November 05, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 5, the final installment, offers some recommendations you may not have thought about ...

November 02, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network ...

November 01, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 3 covers the development side ...