Endace announced EndaceFlow, a high-performance NetFlow Generator that promotes end-to-end visibility for cybersecurity and network performance monitoring.
NetFlow offers a high-level view of network traffic and other information, while continuous packet capture provides detail and granularity of that data. Together, the technologies deliver the information required for faster, definitive incident response and resolution.
When integrated with the EndaceProbe Analytics Platform and EndaceVision, EndaceFlow delivers these crucial benefits to customers.
- A 100% accurate summary of every conversation or flow on your network with 1:1 unsampled NetFlow generation for all packet data.
- Matchless full-stream performance on even the fastest networks, generating 1:1 unsampled NetFlow from 40Gbps of network traffic.
- Removes the heavy burden of generating NetFlow from switches, routers, and firewalls and avoids compromising the efficiency and core functions of these appliances.
- Secure, with optional TLS encrypted NetFlow generation.
- Compatible with leading NetFlow collectors, including Plixer Scrutinizer, Progress Flowmon, Cisco Secure Network Analytics® (formerly Cisco Stealthwatch), and others.
“Teams need to see both the network summary and the transaction details when responding to incidents. Combining 1:1 unsampled NetFlow with the granular data of continuous packet capture empowers SecOps and NetOps teams to more quickly and accurately uncover network or performance trends, identify and respond to threats and network issues,” said Cary Wright, Endace VP of product. “Being able to quickly identify, and then go directly to the packets of interest, gives teams an advantage against network attacks.”
EndaceFlow is available to customers from November.
The Latest
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
