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From Vibes to Signals: Observing Your AI Coding Workflow

From Vibes to Signals: Observing Your AI Coding Workflow

Agentic coding tools like Claude Code and Codex have taken centre stage and inserted themselves...

9 mins read Read Now
What “AI-Ready Data” actually means for observability teams

What “AI-Ready Data” actually means for observability teams

The real AI bottleneck Many organizations deploying AI are learning similar lessons right now: the...

8 mins read Read Now
Code Agents Need Observability

Code Agents Need Observability

AI coding is everywhere. But is it actually helping? For those of us using tools like Claude Code, Codex, or Gemini, we already know they’re powerful. They can...

5 mins read Read Now
Agent-First Observability: Dynamic Data, High Cardinality, and the Business Impact

Agent-First Observability: Dynamic Data, High Cardinality, and the Business Impact

We want to transform how companies make decisions. That is not what you expect to...

7 mins read Read Now
Debug frontend issues with AI: Real user monitoring meets the Coralogix MCP server

Debug frontend issues with AI: Real user monitoring meets the Coralogix MCP server

The 2 AM problem: you have data, but the workflow is fragmented It is 2...

9 mins read Read Now
Olly for SREs: 3 ways I actually use it in production

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....

6 mins read Read Now
5 Essential Capabilities that Make Coralogix an Observability Powerhouse

5 Essential Capabilities that Make Coralogix an Observability Powerhouse

Sometimes observability can feel like a second job. With many traditional tools, users must become...

8 mins read Read Now
A 4-Month Bug Fixed in <10 Minutes with Olly

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...

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The limits of MCP and how Olly surpasses them

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...

9 mins read Read Now
Introducing “Explain Flame Graph”: Stop Fighting Fires and Start Explaining Them

Introducing “Explain Flame Graph”: Stop Fighting Fires and Start Explaining Them

Most observability tools stop at visualization, leaving developers to "fight fires" by manually chasing stack...

6 mins read Read Now
Troubleshooting & RCA with Olly

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,...

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Agent vs assistant: The key distinction between Olly and the competition

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....

7 mins read Read Now