Platform components

BigPanda’s Open Box Machine Learning

IT Ops Machine learning you can trust.

Artificial Intelligence and Machine Learning can efficiently analyze large amounts of complex data in real time to provide valuable insights. However, some ML tools have a “Black Box” approach, hampering trust, adoption, and reliability as teams cannot view or manage the ML logic.

BigPanda’s machine learning logic is open, transparent and in plain language

Open Box Machine Learning provides unparalleled event correlation and root cause analysis capabilities due to its unique open approach.

With BigPanda Open Box Machine Learning, the logic is explained to IT Operations teams in plain English. Teams can then edit this logic to add situational and tribal knowledge to strengthen it on their own, without requiring expert data scientists. From there, teams can test and run what-if experiments on real live production data to make sure their changes work as intended, before deploying them, promoting higher trust and adoption of machine learning throughout the organization. This leads to exceptional event correlation, rapid root cause detection, reduced operational risk, and increased service performance and availability.

Main features of BigPanda’s Open Box Machine Learning

Automatic IT Ops event correlation

BigPanda’s Open Box Machine Learning engine automatically correlates related alerts into high-level incidents using time, topology, context and alert types.

BigPanda ingests the raw event data from monitoring, topology and change systems through its Open Integration Hub. This data is first normalized into standard tags and then enriched by the Event Enrichment Engine with configuration information, operational categories and other metadata.

The normalized, enriched data is then correlated by BigPanda’s Open Box Machine Learning, which merges the events into alerts and clusters the alerts into high-level, actionable incidents by evaluating their properties against patterns in four dimensions: time, topology, context and alert type. As new alerts are received, the Open Box Machine Learning technology evaluates all matching patterns, and determines whether to update an existing incident, or to create a new one.

With Open Box Machine Learning, BigPanda can effectively and accurately correlate alerts to dramatically reduce monitoring noise by over 95%, in real-time.

Explainable root cause determination

BigPanda’s Open Box Machine Learning provides advanced, automated root cause analysis capabilities that explain their logic to the user in plain language.

Infrastructure and application related root cause: When BigPanda’s Open Box Machine Learning engine correlates related alerts into high-level incidents, it verbalizes the relationship between these alerts in the title of the incident, to help users identify the probable root cause. As the correlation evolves and the logic becomes more precise, the title is updated in real-time, and ensures operators retain ongoing situational awareness.

Change related root cause: BigPanda aggregates change data from different change feeds and tools, including continuous integration, continuous deployment, change management and auditing. Open Box Machine Learning then analyzes the change data against incident data and identifies which of these changes likely caused the incident by matching patterns between the incident and the change – based on time, domain, topology, geography, context and more.

Open Box Machine Learning control panel

BigPanda’s Machine Learning Engine generates correlation patterns automatically based on historical user data. Upon the integration of a monitoring tool, BigPanda’s Open Box Machine Learning engine starts to review the data being collected. Over time, new auto-generated patterns are created and displayed in the Open Box Machine Learning control panel as a suggestion.

Once the Machine Learning Engine suggests a pattern, administrators can decide to activate it, reject it, or further customize it within the control panel using the pattern editor. Teams can customize the correlation pattern definitions based on their environment, to increase the effectiveness of the correlation, without the need for expert data scientists.

The Control Panel also provides a pre-production tester, so teams can run the edited logic on live data without having to go into production.

With Open Box Machine Learning, BigPanda can effectively and accurately correlate alerts to dramatically reduce monitoring noise by over 95%, in real-time.

Advanced proprietary AIOps machine learning models

Based on advanced techniques such as word embedding, clustering and convolutional neural networks, BigPanda’s mix of proprietary supervised and unsupervised machine learning algorithms were developed by world-class leading experts. The algorithms are enhanced by the company’s extensive experience with some of the world’s biggest and most complex IT environments.

No data scientists needed

BigPanda’s Open Box Machine Learning technology creates unparalleled transparency into its machine learning logic. Different parameters associated with each of its machine learning-generated correlation patterns are displayed on the administration console in plain English. Users can easily understand how it works, even if they have no expertise in AI or Machine Learning. BigPanda’s Open Box Machine Learning models are designed to be trained by incoming data automatically, over time, without intervention from a data scientist. This unique accessibility helps users trust the results generated by BigPanda, which drives the adoption of artificial intelligence and speeds up the return on investment.

Full control and testability

BigPanda’s Open Box Machine Learning technology offers unprecedented control by letting users incorporate their tribal knowledge and business context into its machine learning logic. Users can edit BigPanda’s machine learning-generated correlation patterns with just two or three clicks, and then test the pattern against data collected in different windows of time. Once satisfied with the results of their edits, they can deploy the new or edited pattern to production.

Unrivaled time to value

BigPanda Open Box Machine Learning creates correlation and automation logic that goes to work out of the box at a 70% correlation rate. Over the next 6-8 weeks, BigPanda’s machine learning-driven logic achieves a 95% correlation rate. New logic is created on an ongoing basis to continually increase operational efficiencies.

Adapts to evolving IT Ops needs

BigPanda’s machine learning models continuously and automatically learn and adapt to ever-changing IT environments, so they are always in sync with evolving business and technical needs. BigPanda’s Open Box Machine Learning regularly suggests new correlation logic as new infrastructure elements, apps, services and tools are added to environments and new data is ingested and correlated. This makes BigPanda the perfect match for organizations that are modernizing their applications.