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BigPanda Releases Event Enrichment Engine

BigPanda revealed the power of its Event Enrichment Engine that enriches raw alerts with rich topological and operational context to create high-quality incidents.

This key capability of BigPanda’s AIOps platform moves organizations beyond simple alert noise to turbocharging the effectiveness of event correlation, root cause analysis, and automation.

Many organizations are investing in AIOps to sift through and correlate alerts across observability and monitoring platforms to detect incidents in real-time before an incident turns into an outage. Unfortunately, many AIOps tools fail to convert raw alerts into context-rich, high-quality incidents because of their inability to easily tap and parse into all sources of contextual data that can be added to incidents as context, at scale.

“Many AIOps projects fail to live up to their promise because alerts don’t get enriched with operational, topological or other contextual data, making it difficult to separate noisy alerts from meaningful alerts, and then eliminate the noise,” said Elik Eizenberg, Co-founder and CTO at BigPanda. “Our Event Enrichment Engine is critical to improving NOC productivity and L1 resolution rates by correlating interrelated alerts into context-rich, high-quality incidents that easily describe what the problem is, what’s causing it, and what action to take.”

Cross-domain enrichment ingests and aggregates messy data across fragmented tools covering observability, monitoring, change and topology systems. These alerts are enriched with the collected topological and operational information across all technology domains, which is the linchpin for AI/ML to detect incidents in real-time as they form, surface probable root cause, and kickoff automatic workflows.

“BigPanda’s Event Enrichment Engine helps structure our event data and adds more context to alerts for our Operations team to triage issues quickly and achieve better alert compression rates,” said Samy Senthivel, Senior Digital Enterprise Monitoring Services Manager at Autodesk. “The element tagging capabilities within the Event Enrichment Engine also provide a clear correlation across events based on service topology and relationships.”

Capabilities of BigPanda’s Event Enrichment Engine include the ability to:

- Extract context buried inside incoming data streams and use it to enrich alerts

- Add topology data from external sources, including asset, inventory, orchestration, APM, configuration management and CMDB sources

- Configure, monitor and modify enrichment logic within a drag-and-drop UI

- Perform millions of enrichment actions every day

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BigPanda Releases Event Enrichment Engine

BigPanda revealed the power of its Event Enrichment Engine that enriches raw alerts with rich topological and operational context to create high-quality incidents.

This key capability of BigPanda’s AIOps platform moves organizations beyond simple alert noise to turbocharging the effectiveness of event correlation, root cause analysis, and automation.

Many organizations are investing in AIOps to sift through and correlate alerts across observability and monitoring platforms to detect incidents in real-time before an incident turns into an outage. Unfortunately, many AIOps tools fail to convert raw alerts into context-rich, high-quality incidents because of their inability to easily tap and parse into all sources of contextual data that can be added to incidents as context, at scale.

“Many AIOps projects fail to live up to their promise because alerts don’t get enriched with operational, topological or other contextual data, making it difficult to separate noisy alerts from meaningful alerts, and then eliminate the noise,” said Elik Eizenberg, Co-founder and CTO at BigPanda. “Our Event Enrichment Engine is critical to improving NOC productivity and L1 resolution rates by correlating interrelated alerts into context-rich, high-quality incidents that easily describe what the problem is, what’s causing it, and what action to take.”

Cross-domain enrichment ingests and aggregates messy data across fragmented tools covering observability, monitoring, change and topology systems. These alerts are enriched with the collected topological and operational information across all technology domains, which is the linchpin for AI/ML to detect incidents in real-time as they form, surface probable root cause, and kickoff automatic workflows.

“BigPanda’s Event Enrichment Engine helps structure our event data and adds more context to alerts for our Operations team to triage issues quickly and achieve better alert compression rates,” said Samy Senthivel, Senior Digital Enterprise Monitoring Services Manager at Autodesk. “The element tagging capabilities within the Event Enrichment Engine also provide a clear correlation across events based on service topology and relationships.”

Capabilities of BigPanda’s Event Enrichment Engine include the ability to:

- Extract context buried inside incoming data streams and use it to enrich alerts

- Add topology data from external sources, including asset, inventory, orchestration, APM, configuration management and CMDB sources

- Configure, monitor and modify enrichment logic within a drag-and-drop UI

- Perform millions of enrichment actions every day

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...