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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.”

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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.”

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IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...