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Sumo Logic

Automate log collection, monitor infrastructure and applications, identify trends, detect anomalies and security threats.

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What is Sumo Logic?

Sumo Logic is a cloud-based logging and monitoring platform designed to collect, index, and analyse log data from infrastructure and applications in real time. It ingests logs from servers, containers, cloud services, and applications, making it easier to troubleshoot issues, track performance, and investigate security incidents. The platform combines log aggregation with analytics and alerting capabilities, allowing teams to identify patterns, spot anomalies, and respond to problems quickly. It's built for organisations that need visibility across distributed systems and want to centralise log management rather than sifting through logs on individual machines.

Key features

Log collection and ingestion; automatically gathers logs from servers, containers, and cloud services with support for structured and unstructured data

Real-time search and analytics; query logs across terabytes of data and create custom searches to find specific events or patterns

Dashboards and visualisations; build custom dashboards to monitor metrics, trends, and health indicators across your infrastructure

Anomaly detection; automatically identifies unusual behaviour in logs that might indicate performance problems or security threats

Alerting and automation; set up alerts based on log patterns and automatically trigger actions when conditions are met

Security and compliance monitoring; tracks suspicious activities, failed authentications, and policy violations to support security investigations

Pros & cons

Advantages

  • Scales easily; handles high-volume log ingestion from large deployments without manual sharding
  • Fast search performance; queries return results quickly even across large datasets
  • Good integration ecosystem; works with popular cloud platforms, monitoring tools, and incident management systems
  • Flexible parsing; handles logs in various formats without requiring strict schema definition upfront

Limitations

  • Cost scales with data volume; organisations ingesting large amounts of logs can face significant expenses
  • Requires learning custom query language and best practices; initial setup and optimisation takes time
  • Complex pricing model; calculating exact costs can be difficult before deployment at scale

Use cases

Monitoring application performance; track errors, response times, and user behaviour across web and mobile applications

Infrastructure troubleshooting; centralise logs from servers, containers, and databases to diagnose system issues faster

Security threat detection; monitor logs for suspicious login attempts, unauthorised access, and malware indicators

Compliance and audit logging; retain and search logs for regulatory requirements and internal audits

DevOps and CI/CD visibility; track deployment logs, build errors, and system changes across your pipeline

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Pricing

Free

Free

Limited daily log ingestion (typically around 1 GB per day); basic search and alerting functionality; suitable for testing and small deployments

Professional

Variable (based on daily ingest volume)

Higher daily ingest limits; advanced analytics and dashboarding; real-time alerting; user and role management; suitable for mid-sized teams

Enterprise

Custom pricing

Custom ingest limits; advanced security features; dedicated support; single sign-on; service level agreements; for large organisations with complex requirements

Get started with Sumo Logic

Click through to Sumo Logic and start using it now.

Try Sumo Logic free
  • Free plan available
  • No credit card