Sumo Logic empowers DevOps teams with a simple and scalable solution for monitoring KPI's and metrics across the entire stack to deliver quality software.
Scale on-demand, share the same truth about critical issues, trends and opportunities across the application stack and DevOps tool chain to accelerate releases and improve code.
Keep tabs on KPI’s in rapid development and production environments. Improve both code and uptime by monitoring run time issues, exceptions and performance SLA’s.
Spend less time troubleshooting and more time developing code. Quickly collaborate for root cause analysis of bugs and fix performance issues before they impact customers.
Reduce mean time to identification by correlating logs across various data sources, lower false-positives and reduce hundreds of thousands of pages of results into a handful of meaningful patterns.
Expedite root cause analysis by surfacing components of complex transactions across distributed environments. Visualize all contextual data sets to comprehend complex interactions in real-time.
Visibility Across the Application Stack
Effortless Data Collection Sumo Logic can effortlessly collect terabytes of data from any data source across your stack and your DevOps tool chain. Lightweight collectors and cloud API’s replace traditional complex setups and encrypt all data for secure transfer.
End-to-End Visibility Visibility across the application stack helps track KPI’s, performance SLA’s and compliance through hybrid, staging and production environments.
Collaborative Dashboards Development, QA and Operation teams can collaborate with real-time dashboards through release cycles and beyond to quickly identify problem areas and where accountability lies.
Real-time Monitoring, Troubleshooting and Root Cause Analysis
Visualize and Monitor Real-time dashboards and alerts provide visibility into application performance, errors and impact of deployments. A shared view improves transparency and delegation of bugs.
Simplify Troubleshooting, Improve Code Quickly identify issues with Pattern and Anomaly Detection. Isolate the application node or module where the root cause of the problem hides to troubleshoot bugs and performance issues.
Increase Uptime Evaluate the impact of new releases on the stability of the entire application and its related stack. Identify and correlate issues, track throughput and meet SLA’s by identifying performance issues before they hit customers.
Analytics Driven Development
End user Satisfaction Track application performance and identify issues before your customers do. Reduce the number of support tickets and quickly troubleshoot to expedite their remediation.
Continuous Innovation Track user and system behavior including activity, errors, transactions and session ids with Transaction Analytics and incorporate key trends to deliver quality software.