Observe, Inc.

Effortlessly manage, analyze, and retain log data across your entire tech stack.

Gain comprehensive insights to enhance application performance and troubleshooting.

Capture and visualize metrics across your infrastructure seamlessly.

Accelerate incident resolution and enhance engineering productivity with AI SRE's advanced correlation and automated remediation capabilities.

Gain complete visibility into AI application performance, costs, and behavior.

Capabilities that correlate signals across logs, metrics, and traces, automate triage with agentic workflows, and provide AI-driven remediation recommendations to speed incident resolution.

Products: AI SRE, Application Performance Monitoring, Log Management, LLM Observability

End-to-end tracing and metrics correlation to detect, diagnose, and resolve application performance regressions, with OpenTelemetry native instrumentation and deployment impact tracking.

Products: Application Performance Monitoring, AI SRE, Infrastructure Monitoring

Capture and analyze infrastructure metrics across cloud, Kubernetes, serverless, and on-prem resources with high-cardinality analytics, 400+ integrations, visualization, and contextual alerts for operational visibility.

Products: Infrastructure Monitoring, Application Performance Monitoring, Log Management

Ingest, index, query, and analyze logs at scale using an open data lake and Iceberg storage with real-time troubleshooting, OPAL queries, and retention compliance for forensic and operational needs.

Products: Log Management, AI SRE, Application Performance Monitoring

Trace and monitor LLM requests and agentic workflows end-to-end, including full request capture, cross-infrastructure correlation, and cost and token analytics for AI application reliability and spend control.

Products: LLM Observability, AI SRE, Log Management

Log Management

Log Management lets you ingest, search, and analyze logs across your applications and infrastructure. It supports ingesting log data in any format from any source, with OpenTelemetry, FluentD, and FluentBit, plus 400+ integrations, and real-time ingestion. Logs are stored in an Open Data Lake with elastic compute and Iceberg-based storage to keep data hot and reusable. OPAL-based queries and a Query Builder enable exploration, while O11y Copilot can generate OPAL queries. The platform is delivered as a fully managed SaaS with strong retention compliance.

• Ingest Logs From All Sources
  Capture and centralize logs from a wide array of applications and systems, enabling comprehensive visibility and analysis without scaling constraints.
• Achieve Compliance Without Trade-offs
  Meet regulatory requirements for log retention effortlessly, ensuring all data is kept readily accessible and compliant.
• Enjoy Hassle-Free Log Management
  Leverage a fully managed platform that handles all aspects of log management, ensuring seamless operation without the overhead of infrastructure maintenance.
• Store Data Efficiently
  Benefit from a high-performance storage solution that ensures log data remains accessible and manageable at scale.
• Harness Advanced Querying Capabilities
  Utilize a powerful query framework and assistive tools for deriving insights from log data quickly and efficiently.
• Troubleshoot Issues Instantly
  Utilize real-time data to quickly identify and address problems as they arise, minimizing downtime and increasing operational efficiency.
• Link Related Log Data
  Navigate seamlessly between related log entries to gain insights that drive faster root-cause analysis and troubleshooting.

Application Performance Monitoring

Application Performance Monitoring provides end-to-end visibility to detect and resolve performance issues without sampling limits, retention constraints, or per-seat pricing. It supports OpenTelemetry native instrumentation and automatic instrumentation, enabling OpenTelemetry-based collection with no vendor lock-in. It helps you correlate traces, metrics, and logs to diagnose service performance and upstream/downstream dependencies.

• Boost Performance Resolution
  Utilize AI insights for rapid identification of underlying issues and resolutions, enhancing efficiency in troubleshooting.
• Enable Flexibility and Standards
  Ensure independence from vendor-specific tools by utilizing OpenTelemetry standards for data collection and analysis.
• Streamline App Monitoring
  Easily implement monitoring with automated instrumentation, minimizing manual setup and ensuring comprehensive data collection.
• Maximize Data Accessibility
  Provide all team members with unrestricted access to vital metrics and logs without hidden costs or limitations.
• Accelerate Issue Resolution
  Quickly pinpoint issues within application performance by linking logs and traces directly, improving response times during incidents.
• Visualize Service Interconnections
  Understand how service interactions affect performance through concise visualizations of dependencies, enhancing troubleshooting accuracy.
• Assess Release Effects
  Evaluate how new releases influence application performance, enabling prompt corrective actions to mitigate potential issues.

Infrastructure Monitoring

Infrastructure Monitoring captures metrics across cloud, Kubernetes, serverless, and more, with 400+ pre-built integrations. It provides out-of-the-box visualization and contextual alerts to help identify issues in real time and track historical performance across your stack.

• Monitor Diverse Environments
  Aggregate performance metrics from multiple infrastructures to provide a comprehensive overview.
• Integrate With Popular Technologies
  Seamlessly connect to various tools and services in your tech stack for enhanced data visibility.
• Instantly Understand System Health
  Leverage intuitive dashboards and alerts to quickly identify and resolve infrastructure issues.
• Track Performance Over Time
  Get insights into past performance trends to aid in decision-making and troubleshooting.
• Achieve Granular Insights
  Utilize flexible tagging for deep data analysis while controlling costs.
• Resolve Issues Quickly
  Pivot from alerts to related logs for rapid root cause analysis.

AI SRE

AI SRE enables faster, scalable incident investigation by correlating signals across logs, metrics, and traces to pinpoint root causes and suggest fixes. It utilizes a low-cost data lake and agentic workflows to automate triage while providing cost and token analytics for AI workloads. The platform supports custom agents and MCP Server for building agentic automation.

• Speeds Up Root Cause Analysis
  By linking different data signals, AI SRE significantly reduces the time taken to identify issues in complex systems.
• Facilitates Rapid Investigations
  Enables engineers to diagnose issues quickly across large datasets, minimizing downtime.
• Suggests Fixes Automatically
  AI SRE offers specific resolutions tailored to identified problems, enabling faster incident management.
• Enhances Insightful Context Management
  Connects various observability data types to optimize incident response and system analysis.
• Manages AI Operational Costs
  Helps organizations keep track of AI-related expenses and identify optimization opportunities for cost savings.
• Enables Tailored Automation
  Allows enterprises to create bespoke agentic workflows, enhancing observability and operational efficiency.
• Streamlines Troubleshooting
  Empowers engineers to ask questions and receive instant, contextual responses to complex queries.

LLM Observability

LLM Observability provides end-to-end visibility into AI applications by tracking every LLM request and agentic workflow, with cross-infrastructure correlation, full request capture, and cost/token analytics. It enables AI application tracing and complete workflow visibility across systems.

• Trace Multi-Step Workflows
  Trace multi-step agentic workflows from user prompt to final response, ensuring critical failure points in complex AI reasoning chains are tracked.
• Monitor Token Usage
  Track API spend in real-time and analyze token consumption patterns to identify cost regressions and inefficiencies.
• Retain Complete Trace Data
  Ensure your team can investigate issues retrospectively with full trace data exhaustively stored for easy access.
• Connect Application and Infrastructure Performance
  Establish links between AI application performance and the infrastructure, enabling comprehensive performance analysis.
• Monitor All LLM Requests
  Enable tracking of all LLM requests and workflows to eliminate blind spots in AI application monitoring.