About
Coralogix is an enterprise-grade observability platform designed to eliminate data blind spots across modern infrastructure. Built on its proprietary Streama© engine, Coralogix lets engineering teams ingest 100% of their telemetry—logs, metrics, traces, and continuous profiles—without sampling, and retain it indefinitely in their own cloud storage bucket, ensuring full data ownership and zero vendor lock-in. At the core of the platform is the DataPrime engine, a unified query language that aggregates logs, metrics, and traces in a single syntax, removing the need to learn multiple querying tools. Its built-in copilot minimizes query mistakes, and dynamic schema handling means no predefined schemas are required. Coralogix recently launched Olly, the industry's first Autonomous Observability Agent, which proactively discovers anomalies, monitors AI systems, and assists with root cause analysis. The AI Observability suite includes an evaluation engine, session explorer, cost tracking, AI guardrails, and quality and security guardrails—purpose-built for teams running LLM-powered applications in production. The platform supports over 300 integrations including AWS, Azure, GCP, Kubernetes, OpenTelemetry, and more. Additional capabilities include APM, service maps, infrastructure monitoring, SIEM, real user monitoring, and compliance reporting. Coralogix is trusted by thousands of engineers across finance, healthcare, gaming, ecommerce, and federal sectors, and offers 24/7 live human support.
Key Features
- Autonomous Observability Agent (Olly): Olly is the industry's first AI-powered autonomous observability agent, providing proactive anomaly detection, root cause analysis, and AI system monitoring without manual intervention.
- DataPrime Unified Query Engine: A proprietary query engine that unifies logs, metrics, and traces in a single composable syntax, with aggregations, joins, and a built-in querying copilot to reduce errors.
- Infinite Data Retention in Your Own Cloud: Store all telemetry data indefinitely in your own cloud storage bucket using open formats, ensuring complete data ownership and eliminating vendor lock-in.
- AI Observability Suite: Purpose-built tools for monitoring LLM applications, including an evaluation engine, session explorer, cost tracking, AI guardrails, and quality and security guardrails.
- 300+ Native Integrations: Seamlessly connect with AWS, Azure, GCP, Kubernetes, OpenTelemetry, Terraform, and 300+ more services for instant telemetry ingestion across your entire stack.
Use Cases
- Monitoring LLM and AI-powered applications in production with guardrails, evaluation engines, and cost tracking to ensure reliability and compliance.
- Centralizing observability across cloud-native infrastructure—ingesting logs, metrics, traces, and profiles from Kubernetes clusters, microservices, and serverless functions.
- Replacing fragmented monitoring stacks with a single unified platform that reduces tooling costs and eliminates the need for multiple query languages.
- Enabling security and compliance teams to leverage integrated SIEM, AI-SPM, and compliance reporting within the same observability pipeline.
- Supporting large-scale DevOps and SRE teams in setting SLOs, detecting anomalies in real time, and accelerating incident root cause analysis with AI assistance.
Pros
- No Data Sampling: Coralogix's Streama© engine captures 100% of events in real time—no sampling, no blind spots—allowing teams to monitor up to 4x more data at a fraction of traditional costs.
- Full Data Ownership: Data stays in your own cloud storage bucket in open format, giving you complete control, portability, and freedom from vendor lock-in.
- Unified Observability Across All Signal Types: Logs, metrics, traces, and profiles are all queryable via a single syntax, drastically reducing context-switching and time-to-insight during incidents.
- 24/7 Live Human Support: Every account gets access to real support engineers available around the clock, with a guaranteed response in under 30 seconds.
Cons
- Enterprise Pricing Complexity: Coralogix's pricing model can be complex for smaller teams, and costs may scale significantly with high data volumes despite efficiency gains.
- Learning Curve for DataPrime: While powerful, the proprietary DataPrime query language requires an initial learning investment, especially for teams already familiar with other query syntaxes.
- Primarily Targeted at Larger Teams: The platform's full feature set and pricing structure are optimized for enterprise and mid-market engineering teams, making it potentially overkill for small projects.
Frequently Asked Questions
What is Olly and how does it work?
Olly is Coralogix's Autonomous Observability Agent—the first of its kind in the industry. It proactively monitors your systems, detects anomalies, assists with root cause analysis, and provides AI-specific observability features like evaluation engines and guardrails, all without requiring constant manual input from your team.
How does Coralogix handle data retention?
Coralogix stores your data indefinitely in your own cloud storage bucket (e.g., AWS S3, Azure Blob, GCP) in open formats. This means there are no retention limits, no reingestion fees, and you retain full ownership and portability of your data.
What query language does Coralogix use?
Coralogix uses DataPrime, its proprietary unified query engine that lets you query logs, metrics, and traces in a single, composable syntax. It supports aggregations, joins, and advanced queries, and includes a built-in copilot to help reduce mistakes.
Does Coralogix support AI and LLM application monitoring?
Yes. Coralogix has a dedicated AI Observability suite that includes tools for monitoring LLM applications: an evaluation engine, session explorer, cost tracking, AI guardrails, and both quality and security guardrails to help teams ship reliable AI-powered products.
What integrations does Coralogix support?
Coralogix supports 300+ integrations including AWS, Azure, GCP, Kubernetes, OpenTelemetry, Terraform, Heroku, and many more. It also provides REST APIs, alert webhooks, and SSO with SAML for enterprise identity management.
