Autonomous software revolutware comes. on Change 2025Ashan Willy, CEO of New Relicve and Sam Witteveeen, CEO and CO-founder of Red Dragon Ai
New relic provides observing customers by taking retrieving and correlating applications, logs, and infrastructure telemetry in real time. Observation observation is more than monitoring – it is about equipping teams with context and sharp intelligence to understand, writer, and optimize complex issues. Now to be more complex task today that generative and agentic ai are in the mix. And the observation of the company includes monitoring everyone from NVIDIA nim, deresteek, chatgpt and – use quartering in AI, quartering quartering, in quarter of the quarter.
“The other thing we saw was a great variety of models,” Willy said. “Enterprises started the GPT, but started using a full set of models. We found a 92% increase in models used.
Observing a world of agentic
In other words, how is the observation progress? That’s a big question. Usage cases vary in industries, and different functions of each individual company, depending on size and objectives. A financial company can focus on maximizing eBitDa margins, while a product focused on the product measured at the speed of internal market.
If the new relic was established in 2008, the center of gravity for care is to monitor the application for Saas, Mobile, and then at the end of cloud infrastructure. AI and Agentic AI increase leads to observing applications, as agents, micro-agents, and agents in A.
AI for observation
As the number of services and microsertros will rise, especially for digital native organizations, cognitive loading for any human dispute tasks may be excessive. Of course, AI helps so, Willy said.
“The way it works is your preparation of enough information where you work in cooperative mode,” he explained. “The promise of care agents is to take some of the automatic workloads and make it happen. That will kill it with many people.”
Single Platform Agentic OfesSurity
A platform for observing the benefit of the agent’s world. Agents are automobiles to workflows, but they make deeper equities in the entire ecosystem, with all many tools with an organization with an organization, such as harness, service. With AI agent, developers can be alert to what is happening to the errors in the code anywhere in ecosystems and recovery immediately, without their coding platform.
In other words, if there is an issue with the code sent by Github, an inplos
“Our agent generally looks at each information on our platform,” Willy said. “That could be anything from how the application’s performing, how the underlying azure or aws structure is performing – anything we think is relevant to that code deployment. We don’t rely on a third party to know apis and so on.”
In the Tinthub instance, a developer announced when the code fines, where errors need, or even if a software rollback, software approval. The next step, announced on the new watch last month, working with the Copilot agent told which the Developer told which lines of code to see the issue. Copilot returns, correct the issue, and then get a version ready to deploy again.
The Future of Agentic Ai
As organizations adopting the AI agent and begin to adapt to it, they will know that observing is a critical part of its activation, as Willy.
“As you start building all of these agent coupling and fragments, you want to know what the agent is doing,” he said. “It’s kind of reason for infrastructure. Reasoning to know what’s going on with your production. That’s what happens, and we’re in front of it.”
