Sumo Logic
Sumo Logic is a cloud-native, machine data analytics platform that enables teams to manage, analyze, and get real-time insights from log, metric, and tracing data for monitoring and troubleshooting applications and infrastructure.
logging
monitoring
analytics
troubleshooting
cloud
Sumo Logic: Cloud-Native Machine Data Analytics
Sumo Logic provides a cloud-native machine data analytics platform to manage, analyze, and gain real-time insights from log, metric, and tracing data for monitoring and troubleshooting applications and infrastructure.
What is Sumo Logic?
Sumo Logic is a cloud-native, machine data analytics platform designed to help IT teams and developers manage, analyze, and gain real-time insights from massive volumes of machine data generated by their digital services, applications, and infrastructure. It allows users to collect, ingest, and analyze log, metric, tracing, and other time-series data in real time for monitoring and troubleshooting infrastructure and applications.
Key capabilities and features of Sumo Logic include:
- Cloud-native SaaS platform built to handle massive data volumes and velocity
- Ability to collect and centralize data from a wide variety of sources including logs, metrics, traces, etc.
- Real-time data analytics with advanced machine learning algorithms to identify anomalies and patterns
- Dashboards,alerts and reporting to monitor infrastructure and applications in real time
- Intuitive workflow for searching and analyzing both live streams and historical data
- Flexible query language to slice and dice data for deeper insights
- Seamless ability to integrate and analyze multiple sources of machine data together
- Robust API platform to build custom integrations and automations
Overall, Sumo Logic provides an end-to-end, cloud-native operational intelligence solution to help engineering teams gain full visibility and drive reliability for modern applications and digital experiences.
Sumo Logic Features
Features
- Real-time log management and analytics
- Advanced search and queries
- Customizable dashboards and alerts
- Anomaly detection and machine learning
- Integrations with various data sources
- Flexible scaling and storage
Pricing
- Subscription-Based
- Pay-As-You-Go
Pros
Powerful analytics capabilities
Intuitive and easy to use
Flexible pricing options
Rapid time to value
Strong security and compliance
Cons
Can get expensive at higher tiers
Limited customization compared to open source options
Steep learning curve for advanced features
Official Links
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