Corvil launched App Agent, a new solution designed to deliver added visibility into applications with low overhead and nanosecond granularity for event timestamping.
This solution extends Corvil’s real-time analytics capability into application internals, allowing companies to drill down and track performance and latency of transactions through various events contained entirely within a software process. This capability allows companies to gain visibility to when application decisions are made and when data is sent and received - transparency that is increasingly important for digital and algorithmic businesses of all kinds and required by the increasing regulatory climate in which they operate.
Accurate event identification and timestamping at a granular level is critical in understanding sequencing of events as required for MiFID II, performance management and optimization, and fluctuations to understand potential malicious or anomalous activity. Being able to provide this level of visibility without increasing application overhead and reducing overall performance or user experience is unique to Corvil. The App Agent efficiently offloads the work of event timestamping and publishing, keeping code lean and fast, with an overhead impact to less than 10 nanoseconds. Designed for the most demanding and volatile environments, the App Agent can sustain over 200,000 events per second and can buffer data to support higher bursts. With the App Agent, customers can immediately identify performance bottlenecks within application functions and latency hotspots, allowing them to optimize applications and monitor operational performance.
"The Corvil App Agent is an important extension of our capability providing low-overhead visibility and transparency to the performance of application internals. Now, our customers can have a precise view of all events that happen both between machines and within machines from one single analytics platform." says Donal Byrne, CEO of Corvil.
Corvil App Agent is provided as a software library with a simple API that supports multiple languages and makes custom integrations easy with minimal dependencies.
The App Agent can facilitate solutions to complex problems like:
- Providing end-to-end transaction transparency, within applications, to identify bottlenecks or performance fluctuations.
- Measuring accurate latency within software only systems such as delivery of market-data to a client application via a software callback.
- Compliance reporting (e.g., MiFID II) in low latency environments. App Agent ensures application overhead is kept to the absolute minimum, even when software events need to be logged.
- Adding reliable microsecond performance results to application development and test processes.
The Latest
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 ...