Corelayer

Founded 2025

Detect, investigate, and resolve production incidents across code, infrastructure, and data pipelines automatically

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Corelayer to investigate and resolve production incidents across your systems without waking up on-call engineers. It connects to your existing logs, metrics, code repositories, and databases to build a context graph of your environment. When alerts fire, automated agents filter out noise, identify root causes, and summarize the blast radius. You can deploy it directly in your private cloud or on-premise infrastructure, ensuring sensitive records and telemetry remain protected behind your firewalls while giving your team clear explanations of complex bugs.

What Corelayer does

Diagnose the root cause of incoming production alertsFilter out false positive notifications from observability stacksMap system dependencies and failure modes into a searchable graphMask sensitive personal information in error traces and logsGenerate incident summaries detailing impact and blast radiusSend automated incident diagnosis updates to Slack and Microsoft TeamsQuery underlying databases securely during live debugging sessionsAutonomous incident investigation and root-cause analysis across production environmentsContext graph that maps dependencies and tracks failure patterns across code and databasesSemantic filtering to reduce noisy alerts and false alarms across monitoring servicesData pipeline and ETL anomaly detection with secure database inspectionOn-premise and Bring Your Own Cloud (BYOC) deployment with zero data retentionCLI and Model Context Protocol (MCP) support to feed production context to coding assistantsAutomated impact summaries that quantify blast radius and service disruptionsCustom PII masking and confidential compute support for regulated industries