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Endace and Elastic Partner to Deliver Greater Network Observability and Enhanced Forensics

Endace announced a technical partnership with leading SIEM and observability platform provider Elastic.

The partnership brings together the EndaceProbe™ Scalable Hybrid Cloud Packet Capture, Elastic™ Stack and Elastic™ Security, and provides the packet-level network visibility and detailed network metadata that Security and IT teams need when responding to security threats and network or application performance issues.

EndaceProbes can record weeks or months of full packet capture across hybrid cloud networks to provide a complete and accurate record of all network activity. The detailed packet data captured by EndaceProbe is a perfect complement to the rich logs and metadata captured by Elastic Stack.

In addition, EndaceProbe appliances can host EndaceFlow™, which generates extremely high-fidelity NetFlow data at full line rate. This NetFlow data can be ingested by Elastic Stack to provide detailed metadata for monitoring the security and performance of the network and interrogating network activity.

By combining Endace and Elastic Stack, organizations gain accurate, highly detailed visibility into both real-time and historical network activity. Security and IT analysts can search network metadata in Elastic, and quickly pivot to full packet data for forensic investigations when they need to. The result is faster, more accurate incident investigation and resolution.

Pre-built integration between EndaceProbes and Elastic Stack enables streamlined investigation workflows. Analysts can click on alerts in the Elastic UI to go directly to the related full packet data recorded by EndaceProbe. Analysts can quickly view traffic right down to individual packet level to see precisely what occurred before, during and after any event, with absolute certainty.

“The combination of the Elastic Stack and EndaceProbe gives Cybersecurity and IT teams the ability to see exactly what’s happening on their network in real-time. And when they need to go back in time to investigate any incident they have a complete record of that activity at their fingertips,” said Cary Wright, Endace VP Product. “The ability to pivot from anomalies or security alerts directly to forensic examination of packet-level data lets analysts see exactly what’s happening. They can quickly respond to incidents and dramatically mitigate threat risk to their organizations.”

The Endace Fusion Partner program provides pre-built integrations between industry-leading solutions and EndaceProbe’s powerful API to give Security and IT teams the reliable evidence they need to protect their networks from cyber threats and performance issues.

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Endace and Elastic Partner to Deliver Greater Network Observability and Enhanced Forensics

Endace announced a technical partnership with leading SIEM and observability platform provider Elastic.

The partnership brings together the EndaceProbe™ Scalable Hybrid Cloud Packet Capture, Elastic™ Stack and Elastic™ Security, and provides the packet-level network visibility and detailed network metadata that Security and IT teams need when responding to security threats and network or application performance issues.

EndaceProbes can record weeks or months of full packet capture across hybrid cloud networks to provide a complete and accurate record of all network activity. The detailed packet data captured by EndaceProbe is a perfect complement to the rich logs and metadata captured by Elastic Stack.

In addition, EndaceProbe appliances can host EndaceFlow™, which generates extremely high-fidelity NetFlow data at full line rate. This NetFlow data can be ingested by Elastic Stack to provide detailed metadata for monitoring the security and performance of the network and interrogating network activity.

By combining Endace and Elastic Stack, organizations gain accurate, highly detailed visibility into both real-time and historical network activity. Security and IT analysts can search network metadata in Elastic, and quickly pivot to full packet data for forensic investigations when they need to. The result is faster, more accurate incident investigation and resolution.

Pre-built integration between EndaceProbes and Elastic Stack enables streamlined investigation workflows. Analysts can click on alerts in the Elastic UI to go directly to the related full packet data recorded by EndaceProbe. Analysts can quickly view traffic right down to individual packet level to see precisely what occurred before, during and after any event, with absolute certainty.

“The combination of the Elastic Stack and EndaceProbe gives Cybersecurity and IT teams the ability to see exactly what’s happening on their network in real-time. And when they need to go back in time to investigate any incident they have a complete record of that activity at their fingertips,” said Cary Wright, Endace VP Product. “The ability to pivot from anomalies or security alerts directly to forensic examination of packet-level data lets analysts see exactly what’s happening. They can quickly respond to incidents and dramatically mitigate threat risk to their organizations.”

The Endace Fusion Partner program provides pre-built integrations between industry-leading solutions and EndaceProbe’s powerful API to give Security and IT teams the reliable evidence they need to protect their networks from cyber threats and performance issues.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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 ...

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