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Corvil Announces Tera Release

Corvil announced its Tera Release, the latest version of the Corvil network data analytics platform.

The new platform democratizes the power of network data, with an all-new, intuitive and customizable user interface and a new data automation engine that dramatically reduces the time, expense, and complexity of working with network data.

In addition, the Tera Release adds a new portfolio of real-time security analytics, thus giving Network Operations, Application Operations and Security Operations teams an accurate and collaborative real-time picture of critical service chains across their business.

"We believe that the most effective way for IT to assure and safeguard the delivery of critical applications, services, and data to the business is for all IT teams involved to have a common, trusted, granular source of shared data," said Donal Byrne, CEO, Corvil. "Network data is widely regarded as the most granular and powerful source of real-time data that can be used for this purpose. The challenge is to make network data analytics super-easy, cost-effective and widely available to all. We believe that our new Tera Release achieves this objective with our customers reporting up to 90 percent reduction in time for IT Ops to see, analyze and act on critical business application flows at a cost that is less than what the network team traditionally spends on legacy network probes."

Key innovations in the Corvil Tera Release include:

MULTI TEAM USER INTERFACE - The Tera Release re-imagines the Corvil user experience by providing a new HTML5-based user interface with polished, intuitive, and customizable dashboards that have been optimized to perform workflows for network, application, and security operations professionals jointly responsible for delivery of critical business.

SELF POPULATING DASHBOARDS - The Tera data engine automatically discovers application and business data flows within raw network data with zero configuration. The data in these flows is decoded, transformed, and self-populated into tables and graphical widgets, giving the full picture for what is happening across a business in real-time.

REAL-TIME SECURITY OPERATIONS INTEGRATION - Network data has traditionally been used for network forensics by the security operations team. New thinking in this area suggests that security operations should be leveraging the valuable information contained in network performance monitoring and diagnostic tools. Gartner recently commented: "Network performance monitoring tool data provided by IT operations to security operations for analysis of network forensic information can play a key role in solving security incidents." The new Tera release delivers on this new thinking and goes further by seamlessly integrating live threat intelligence and real-time network forensics with leading SIEM platforms. For example, the Tera release consumes threat intelligence from iSIGHT Partners, and identifies related suspicious activity from streaming analysis of network data. It then forwards these security events into a SIEM platform, like Splunk, using Corvil Streams. The event stream contains associated metadata relating to the threat intel, in addition to a link that allows click-back to Corvil for further retrospective analysis of the security incident.

PROGRAMMABLE STREAM AND/OR STORE NETWORK DATA LAKE - Unlike other platforms in the industry that either capture and store network data before analysis or analyze network data on the fly and then discard the decoded data, the Tera Release is fully user programmable so that customers can decide for themselves how much data to keep, and for how long. The streaming data analytics architecture used by Corvil analyzes all network data on the fly and then programmatically stores both raw network data and enriched network data. The resulting time-synchronized, distributed data store is automatically maintained and managed by the Corvil engines, allowing the user complete flexibility in the creation and management of their network data lake. In addition, the Tera Release now supports a broader array of connectors for streaming Corvil data to big data platforms e.g. Cloudera Enterprise Data Hub.

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Corvil Announces Tera Release

Corvil announced its Tera Release, the latest version of the Corvil network data analytics platform.

The new platform democratizes the power of network data, with an all-new, intuitive and customizable user interface and a new data automation engine that dramatically reduces the time, expense, and complexity of working with network data.

In addition, the Tera Release adds a new portfolio of real-time security analytics, thus giving Network Operations, Application Operations and Security Operations teams an accurate and collaborative real-time picture of critical service chains across their business.

"We believe that the most effective way for IT to assure and safeguard the delivery of critical applications, services, and data to the business is for all IT teams involved to have a common, trusted, granular source of shared data," said Donal Byrne, CEO, Corvil. "Network data is widely regarded as the most granular and powerful source of real-time data that can be used for this purpose. The challenge is to make network data analytics super-easy, cost-effective and widely available to all. We believe that our new Tera Release achieves this objective with our customers reporting up to 90 percent reduction in time for IT Ops to see, analyze and act on critical business application flows at a cost that is less than what the network team traditionally spends on legacy network probes."

Key innovations in the Corvil Tera Release include:

MULTI TEAM USER INTERFACE - The Tera Release re-imagines the Corvil user experience by providing a new HTML5-based user interface with polished, intuitive, and customizable dashboards that have been optimized to perform workflows for network, application, and security operations professionals jointly responsible for delivery of critical business.

SELF POPULATING DASHBOARDS - The Tera data engine automatically discovers application and business data flows within raw network data with zero configuration. The data in these flows is decoded, transformed, and self-populated into tables and graphical widgets, giving the full picture for what is happening across a business in real-time.

REAL-TIME SECURITY OPERATIONS INTEGRATION - Network data has traditionally been used for network forensics by the security operations team. New thinking in this area suggests that security operations should be leveraging the valuable information contained in network performance monitoring and diagnostic tools. Gartner recently commented: "Network performance monitoring tool data provided by IT operations to security operations for analysis of network forensic information can play a key role in solving security incidents." The new Tera release delivers on this new thinking and goes further by seamlessly integrating live threat intelligence and real-time network forensics with leading SIEM platforms. For example, the Tera release consumes threat intelligence from iSIGHT Partners, and identifies related suspicious activity from streaming analysis of network data. It then forwards these security events into a SIEM platform, like Splunk, using Corvil Streams. The event stream contains associated metadata relating to the threat intel, in addition to a link that allows click-back to Corvil for further retrospective analysis of the security incident.

PROGRAMMABLE STREAM AND/OR STORE NETWORK DATA LAKE - Unlike other platforms in the industry that either capture and store network data before analysis or analyze network data on the fly and then discard the decoded data, the Tera Release is fully user programmable so that customers can decide for themselves how much data to keep, and for how long. The streaming data analytics architecture used by Corvil analyzes all network data on the fly and then programmatically stores both raw network data and enriched network data. The resulting time-synchronized, distributed data store is automatically maintained and managed by the Corvil engines, allowing the user complete flexibility in the creation and management of their network data lake. In addition, the Tera Release now supports a broader array of connectors for streaming Corvil data to big data platforms e.g. Cloudera Enterprise Data Hub.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...