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More than 2,100 enterprises around the world rely on Sumo Logic to build, run, and secure their modern applications and cloud infrastructures.
Gain deep visibility into log files across your full software stack with the Sumo Logic log analyzer.
For Unified Logs & Metrics, Try Sumo Logic!
Sumo Logic SaaS log analytics offers full-stack visibility into your cloud, edge, and traditional services and microservices. It’s secure and scalable and can handle the volume, variety, and velocity of your AWS log file data.
Get Real-Time Monitoring & Predictive Analytics!
Centralize your Apache access logs and Apache error logs and you can visualize overall data or drill down to find 400- and 500-level errors. Spend more time analyzing real-time events and less chasing data across silos.
Simplify Troubleshooting with Apache Log Analytics!
Sumo Logic IIS log analytics lets you troubleshoot your Internet Information Servers in real time and helps you discover errors 75% faster. With advanced machine learning you can stay one step ahead of suspicious behavior and potential problems.
Keep an Eye on Traffic with Continuous Monitoring!
And use Sumo Logic for free until your data needs exceed 500MB/day.
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Easily collect data from Apache, AWS, Cisco devices, IIS, Nginx, and many more data sources!
Gain full-stack visibility across your applications and infrastructure with Sumo Logic’s cloud-native analytics platform. Sumo Logic collects terabytes of data and uses patented analytics to identify patterns and anomalies across your distributed applications and their complex environments.
Gain visibility across public clouds, on-premise infrastructures and SaaS applications.
Become cloud audit–ready for all your workloads and demonstrate compliance with internal and industry standards. Sumo Logic has met GDPR, HIPAA, ISO 27001, and PCI DSS 3.2 compliance standards.
Monitor throughout build, integration, test, and deployment processes.
Get alerts, insights and forensics to quickly uncover and resolve violations.
“Over a 12 month period we tripled the size of our existing log analytics nodes and storage but our company’s phenomenal growth meant that we were still at peak load for this platform.”