Perspica Launches Industry-First Incident Replay Time Machine for the Application Stack

• Gaining visibility into your application stack – Perspica's Incident Replay™ is a time machine for performance data, logs and topology. It provides TechOps and DevOps teams with tools to visualize all layers and siloes of the application stack, enabling definitive post-mortem and real-time automated root cause analysis to improve mean time to repair.
• Alarms aren't enough…you need answers – Today's IT operations tools trigger numerous alarms that cannot distinguish between critical events and false positives. Customers need answers. Perspica's heuristic anomaly detection combines advanced machine learning algorithms to massively reduce the number of alarms and provide actionable recommendations.
• Preventing downtime through early warnings – Perspica helps companies be proactive by incorporating a combination of behavior profiling and predictive analytics to detect anomalous trends and prevent dangerous issues before they impact application performance.
• Delivering past, present and predictive analytics – Perspica provides application infrastructure intelligence across hybrid-cloud environments to keep mission-critical applications up and running. More than a dozen companies and government agencies have signed on in the product's early adoption phase.

Dan Maloney, CEO, Perspica, said: "We are excited to bring to market the world's first 'application infrastructure time machine' that combines topology and performance data. It helps overburdened IT teams identify problems and mitigate risks by analyzing the continuous changes to the application infrastructure stack. We are able to track when an incident occurs and automatically identify the root cause to provide IT departments with the ability to gain real answers immediately. Similar to instant replay during the big game, Perspica provides Incident Replay for big data."

Douglas C. Spitz, president, PerformanceNet Management Group, subsidiary of American Operations Corporation, said: "Perspica leverages the technologies that are disrupting IT operations today by applying machine learning and analytics to big data, scaling across millions of managed objects. Until now, it was impossible for me to predict problems and automatically analyze the root cause at such enormous scale. Perspica has broken this barrier by providing predictive insights and complete visibility into my application infrastructure stack, allowing me to move from reactive to proactive."

Mike Matchett, senior analyst and consultant, Taneja Group, said: "As the lines between TechOps and DevOps blur, we are seeing a greater need to understand what the application infrastructure looks like and how to respond faster when service-impacting events arise. Perspica isn't one more event-monitoring tool – it has a bigger vision to provide truly diagnostic and actionable analytics across the full operational behavior of the datacenter. By employing big data and sophisticated machine learning at scale to capture, replay and analyze all the data available across the IT operational stack, the company aims to supersede old school 'react and respond tools' with predictive intelligence."

About Perspica
Perspica is disrupting the IT operations industry with its Incident Replay, a time machine for big data, allowing IT professionals to gain the visibility they need to see service outages or degradation in real time and discover previously unknown issues automatically. By harnessing the power of the Cloud, Perspica provides a SaaS solution with complete visibility and detection of infrastructure issues and immediate root cause diagnosis. Perspica is funded by March Capital, The Fabric and The Hive. To sign up to try Perspica's Incident Replay for free visit www.perspica.io.

Editorial Contact:
Shannon Tierney
Nadel Phelan, Inc.
(831) 440-2409
[email protected]

Photo - http://photos.prnewswire.com/prnh/20160411/354042

Logo - http://photos.prnewswire.com/prnh/20160411/354043LOGO

SOURCE Perspica

Related Links

http://www.perspica.io