Skip to main content

Coralogix Releases Olly

Coralogix announced the commercial launch of Olly, an autonomous observability agent that independently investigates and surfaces production issues in real time.

Olly correlates telemetry data, runs analysis, and delivers clear, evidence-backed answers without requiring prompting.

Olly acts as a proactive intelligence layer that anticipates problems, adapts to context, and continually evolves with its users. It behaves like a true engineering teammate, deciding what to analyze, running the necessary queries, explaining every decision it makes, and offering next steps.

Olly removes the complexity of troubleshooting by autonomously identifying root causes, surfacing key signals, and detecting anomalies as they occur. It generates on-demand visualizations from live telemetry and provides precise, data-driven answers to questions like "What is frustrating my customers today?" During incidents, Olly pinpoints affected services, highlights critical bottlenecks, and recommends remediation steps, giving teams a dependable partner for seamless troubleshooting.

Traditional observability forces engineers to navigate countless dashboards and manually correlate logs, metrics, and traces, which often takes hours. Olly eliminates this problem by fully analyzing observability data points and correlating telemetry on its own, reducing investigation time from hours to minutes.

“Organizations are under tremendous pressure to deliver rapidly and at higher quality,” said Ariel Assaraf, CEO and Co-Founder, Coralogix. “Olly gives teams insights that weren't possible before, turning telemetry data into clear, reliable answers so businesses can ship faster and operate with far greater confidence.”

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...

Coralogix Releases Olly

Coralogix announced the commercial launch of Olly, an autonomous observability agent that independently investigates and surfaces production issues in real time.

Olly correlates telemetry data, runs analysis, and delivers clear, evidence-backed answers without requiring prompting.

Olly acts as a proactive intelligence layer that anticipates problems, adapts to context, and continually evolves with its users. It behaves like a true engineering teammate, deciding what to analyze, running the necessary queries, explaining every decision it makes, and offering next steps.

Olly removes the complexity of troubleshooting by autonomously identifying root causes, surfacing key signals, and detecting anomalies as they occur. It generates on-demand visualizations from live telemetry and provides precise, data-driven answers to questions like "What is frustrating my customers today?" During incidents, Olly pinpoints affected services, highlights critical bottlenecks, and recommends remediation steps, giving teams a dependable partner for seamless troubleshooting.

Traditional observability forces engineers to navigate countless dashboards and manually correlate logs, metrics, and traces, which often takes hours. Olly eliminates this problem by fully analyzing observability data points and correlating telemetry on its own, reducing investigation time from hours to minutes.

“Organizations are under tremendous pressure to deliver rapidly and at higher quality,” said Ariel Assaraf, CEO and Co-Founder, Coralogix. “Olly gives teams insights that weren't possible before, turning telemetry data into clear, reliable answers so businesses can ship faster and operate with far greater confidence.”

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...