Turn log noise into answers
Codly's intelligent log analytics unifies your logs, surfaces anomalies with AI, and lets you investigate in plain language — turning terabytes of noise into clear answers.
Logs are the richest signal you have and the hardest to use. They're scattered across systems, expensive to store, and searching them means remembering a query language under pressure during an incident.
Codly unifies logs from every cloud and service, correlates them with metrics, traces and change events, and lets you investigate in plain language. When it spots an anomaly, it can hand the finding straight to a remediation agent — so detection becomes action.
What Log Analytics does
Unified ingestion
Collect logs from every cloud, host and service into one searchable, correlated store.
AI anomaly detection
Patterns and outliers surfaced automatically, before they turn into incidents.
Natural-language search
Ask 'show errors on payments in the last hour' and get an answer, not a query language.
Cross-signal correlation
Logs joined with metrics, traces and deploys to explain what actually happened.
Insight to action
Findings feed straight into AIOps so detection becomes autonomous remediation.
Cost-aware retention
Tiering and sampling policies keep log volume useful without runaway cost.
Four steps, always under your policy
Ingest
Unifies logs from every cloud, host and service into one store.
Correlate
Joins logs with metrics, traces and change events for full context.
Detect
AI surfaces anomalies and likely causes before they escalate.
Act
Hands findings to AIOps for closed-loop, autonomous remediation.
Built for the way you actually operate
From a spike to the root cause in one question
Codly correlates logs, metrics and changes, then lets you ask what happened in plain language. When it spots something, it can hand the finding directly to a remediation agent.
- Correlate logs with metrics, traces and changes
- AI summaries of what changed and why
- Feeds AIOps for closed-loop remediation
Logs that pay for themselves
Codly focuses on the logs that matter — with tiering, sampling and retention policies that control cost — while AI keeps watch across everything so nothing important slips through.
- Retention and sampling by policy
- AI watch across all ingested logs
- Alerts with context, not just a match
We stopped writing queries during incidents. We just ask Codly what happened, and half the time it's already remediating.
What teams see with Log Analytics
Works with the stack you already run
Codly orchestrates your tools as a control plane — it doesn't replace them.
Questions, answered
It can unify and sit above it. Codly ingests and correlates from your existing sources and adds AI detection and natural-language investigation on top.
You describe what you're looking for in plain language; Codly translates it into the right query across your correlated log store and returns a direct answer.
Findings can be handed to AIOps, which drafts and (within policy) executes a remediation — closing the loop from detection to fix.
Related modules
Find answers in your logs, fast
See natural-language log investigation live.