Skip to main content

BigPanda Launches New Data Engineering Capabilities

New capabilities to enrich and unify event data from observability and monitoring tools that SRE, DevOps, and ITOps teams can easily detect problems and take action

BigPanda announced new Data Engineering capabilities that empowers enterprise DevOps and ITOps teams to unlock the full value of their monitoring and observability tools and get started on their AIOps journey.

A newer and simpler way to ingest data from multiple disparate sources, BigPanda’s Data Engineering capabilities transform event data output into high-quality, actionable alerts.

“Despite investing in several best-of-breed observability and monitoring tools, most organizations struggle to extract actionable intelligence from their event data to help their incident responders prevent and resolve outages,” said Fred Koopmans, Chief Product Officer at BigPanda. “By converting millions of events from monitoring and observability tools into actionable alerts, our new Data Engineering capabilities help organizations unlock the full value of their monitoring and observability investments and lay the foundation for successful AIOps adoption.”

“The amount of email alerts we received prior to working with BigPanda was unsustainable for us to properly escalate and triage incidents,” said Michael Lorenzo, senior director of operations for the global NOC at FreeWheel. “BigPanda’s data engineering capabilities helped us quickly cut out excess noise to better detect incidents and uncover probable root cause in real time. Ultimately, we were able to reduce email alerts by more than 90%.”

BigPanda’s Data Engineering capabilities include:

Easy integrations: More than 50 native low-code integrations, including integrations with leading observability, monitoring, IT service management, and IT operations management tools. There is no need for complex custom code to make it easy to ingest event data from any monitoring or observability tool.

Normalization: Standardization of disparate monitoring event formats into a common format that makes it easy to perform cross-source event correlation.

Seamless noise filtering: Out-of-the-box deduplication and noise filtering eliminate false positives and benign events. This helps teams focus on relevant events and reduce noise by up to 98%. In addition, a preview capability makes it easy to build and test new filter patterns based on alert metadata and enrichment tags.

Enrichment at scale: Enriched events include contextual data such as location, host, or affected services that increase the quality of alerts. Organizations can better realize the value provided by their monitoring and observability tools.

Unified visibility: Presenting higher-quality alerts from various monitoring and observability sources as part of a first pane of glass inside in BigPanda eliminates the need for teams to switch between different tool consoles to identify problems.

Interactive dashboards: Dashboards showing how events are processed, make it easy for ITOps and DevOps teams to see the daily trend of number of events, the source of different events, and actioned incidents in a single place.

The Latest

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

BigPanda Launches New Data Engineering Capabilities

New capabilities to enrich and unify event data from observability and monitoring tools that SRE, DevOps, and ITOps teams can easily detect problems and take action

BigPanda announced new Data Engineering capabilities that empowers enterprise DevOps and ITOps teams to unlock the full value of their monitoring and observability tools and get started on their AIOps journey.

A newer and simpler way to ingest data from multiple disparate sources, BigPanda’s Data Engineering capabilities transform event data output into high-quality, actionable alerts.

“Despite investing in several best-of-breed observability and monitoring tools, most organizations struggle to extract actionable intelligence from their event data to help their incident responders prevent and resolve outages,” said Fred Koopmans, Chief Product Officer at BigPanda. “By converting millions of events from monitoring and observability tools into actionable alerts, our new Data Engineering capabilities help organizations unlock the full value of their monitoring and observability investments and lay the foundation for successful AIOps adoption.”

“The amount of email alerts we received prior to working with BigPanda was unsustainable for us to properly escalate and triage incidents,” said Michael Lorenzo, senior director of operations for the global NOC at FreeWheel. “BigPanda’s data engineering capabilities helped us quickly cut out excess noise to better detect incidents and uncover probable root cause in real time. Ultimately, we were able to reduce email alerts by more than 90%.”

BigPanda’s Data Engineering capabilities include:

Easy integrations: More than 50 native low-code integrations, including integrations with leading observability, monitoring, IT service management, and IT operations management tools. There is no need for complex custom code to make it easy to ingest event data from any monitoring or observability tool.

Normalization: Standardization of disparate monitoring event formats into a common format that makes it easy to perform cross-source event correlation.

Seamless noise filtering: Out-of-the-box deduplication and noise filtering eliminate false positives and benign events. This helps teams focus on relevant events and reduce noise by up to 98%. In addition, a preview capability makes it easy to build and test new filter patterns based on alert metadata and enrichment tags.

Enrichment at scale: Enriched events include contextual data such as location, host, or affected services that increase the quality of alerts. Organizations can better realize the value provided by their monitoring and observability tools.

Unified visibility: Presenting higher-quality alerts from various monitoring and observability sources as part of a first pane of glass inside in BigPanda eliminates the need for teams to switch between different tool consoles to identify problems.

Interactive dashboards: Dashboards showing how events are processed, make it easy for ITOps and DevOps teams to see the daily trend of number of events, the source of different events, and actioned incidents in a single place.

The Latest

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...