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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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