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Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight. | We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data |
Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications | Beautiful streaming visualizations;
Meaningful, fast alerting using SignalFlow analytics;
High resolution metrics up to 1 sec;
Filter & aggregate by dimesions like source, geo, customer, etc;
Build custom real-time analytics pipelines;
Use dynamic alert thresholds like moving averages;
Get alerts in PagerDuty, VictorOps, HipChat, Slack, & more;
Overlay events like alerts, pushes, CI runs, etc;
Integrations with AWS services, Docker, Mesos, Kubernetes, Kafka, Cassandra, Mongo, MySQL & much more;
Use OSS agents and metrics libraries like collectd, StatsD, etc;
Provides OSS libraries in Java, Python, Go, Node, Ruby, etc;
Provides OSS proxy to consume existing metrics;
REST API; |
Statistics | |
Stacks 192 | Stacks 53 |
Followers 282 | Followers 110 |
Votes 21 | Votes 22 |
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