The legacy observability stack
- Define schemas, mappings and indexes before you can ask
- Sample or drop the rest to control cost
- Rehydrate archives before you can search them
The Telemetry Lake
for Observability
Better, faster, cheaper. Complete Observability and SIEM for humans and agents.
Start now from your agent
Trusted by 4,000+ companies, including
Adobe
Tradeweb
Leader2026 Gartner® Magic Quadrant™ for Observability Platforms
20+ Fortune 500companies, each sending more than 100 TB a day
11 secondsmedian first response across support requests, with humans on call 24/7
SOC 2, ISO 27001PCI DSS, HIPAA, GDPR, plus FedRAMP Moderate for U.S. GovOps
Why the stack has to change
Every investigation needs context you didn't know you'd need.
Incidents rarely stay inside the dashboard built for them. The answer sits in a field nobody indexed, under a schema nobody defined, or in data from last quarter. Agents raise the stakes: they follow the evidence wherever it goes, and only through data you kept.
A telemetry lake
- Schema on read: ask first, with no mappings to define
- Keep full-fidelity data in your own storage
- Query hot data and the archive in place
How it works
One lake. For every question.
Every signal lands in one lake, in your own cloud. People and agents ask from wherever they already work.
Every signal
Logs
Metrics
Traces
APM
RUM
SIEM
LLM observability
Agent observability
Product analytics
01 Stream
Analyzed in flight
Parsing, enrichment and alerts run in the stream, before data is stored.
02 Store
Kept in your bucket
Logs and traces land as Parquet in object storage you own. You set retention.
03 Ask
Queried in place
DataPrime, SQL or Lucene, and PromQL for metrics. No rehydration, no re-indexing.
Every question
UIYour team
OllyAutonomous agent
MCPClaude Code, Cursor, Codex
CLIScripts and CI
APIYour own agents
The ownership test: your logs and traces stay readable as Parquet in your bucket, by Athena, Spark or any Parquet reader. No Coralogix required.
Agentic data
Use the lake to power your entire SDLC
From code to production, the telemetry lake helps your engineers and agents move faster without breaking things.
claude — ~/checkout-service
coralogix mcp connected
Agentic observability
Keep every signal.
Keep every signal.
Ask it anything.
Coralogix brings all your telemetry together so your teams and AI agents can monitor, investigate and solve problems, with your data stored in your own cloud.
- Logs
- Metrics
- Traces
- APM
- RUM
- SIEM
- LLM observability
- Agent observability
- Product analytics
Olly
runs every Monday
Question
“Which errors cost us the most revenue this quarter, and which release introduced each one?”
Investigated
- LOGS14M errors over 90 days, grouped into 37 patterns
- TRACESEach pattern traced to the service behind it
- APMMatched to 212 releases by version and deploy time
- PRODUCTJoined to abandoned checkouts and order value
Finding
Three error patterns account for 71% of lost checkout revenue. The largest began with cart-service v3.8 in August and still hits 2% of mobile checkouts. Suggested next step: a ticket for the cart-service owners, with the sessions and traces attached.
Illustrative example with sample data.
Pricing
See pricing
Priced on the data you send.
No host fees
Unlimited hosts on every account.
No seat fees
Unlimited users on every account.
No rehydration fees
Your archive is queried in place.
AI features are metered in tokens. Every plan includes 24/7 support and daily quota alerts at 80% of plan.
Stop letting agents guess.
Give them the lake.
Use with agents