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Olly for SREs: 3 ways I actually use it in production
A practical breakdown of how I use an autonomous AI agent to investigate production incidents....
5 Essential Capabilities that Make Coralogix an Observability Powerhouse
Sometimes observability can feel like a second job. With many traditional tools, users must become...
A 4-Month Bug Fixed in <10 Minutes with Olly
In today’s highly interconnected systems, the subtle relationships between services are rarely obvious. Modern, complex architectures generate telemetry that functions less as “flashing signs” and more as faint...
The limits of MCP and how Olly surpasses them
Model Context Protocol (MCP) servers act as adapter layers between clients and AI based workloads. MCP installation into an IDE, such as Cursor, brings a wealth of information...
Troubleshooting & RCA with Olly
If troubleshooting still feels harder than it should, check on these two numbers: how many dashboards you have, and how many alerts fire every day. For most teams,...
Agent vs assistant: The key distinction between Olly and the competition
The market is saturated with agents and assistants, making it difficult to tell them apart....
Threat hunting with Olly
Effective threat hunting requires both comprehensive visibility and quick, data-driven insights. Olly, the AI-powered observability teammate within Coralogix, provides just that. Whether you’re tracking lateral movement, uncovering stealthy...
