Loom Systems Alternatives
Loom Systems is described as 'Predict & Prevent problems in the digital business. Fully automatic, seamless event processing, incident reports, deep root cause analysis and recommended resolutions. Helps IT and DevOps teams fix issues before users notice they happened' and is an app in the Network & Admin category. There are more than 10 alternatives to Loom Systems for a variety of platforms, including Linux, the Web, Mac, Windows and Self-Hosted solutions. The best alternative is Prometheus, which is both free and Open Source. Other great apps like Loom Systems are Datadog (Paid), logstash (Freemium, Open Source), New Relic (Freemium) and Graphite (Free, Open Source).
- Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud.
- Free • Open Source
- Mac
- Windows
- Linux
- Cloudron
- Datadog is a monitoring service for IT, Dev & Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into a unified view of IT infrastructure. 120+ Integrations!.
- Pinpoint and solve performance issues in your Ruby, Java, .NET, PHP and Python apps with real user, application and server monitoring.
- Splunk is software that provides unique visibility across your entire IT infrastructure from one place in real time.
- RapidSpike is a Digital Experience Monitoring Platform that interacts with your online platforms exactly as your customers do. It collects data across your digital ecosystem to help you improve a fast, reliable digital customer experience.
- SenseLogs is designed to extract value from CloudWatch log data without adding complexity and delay. It is up to 10x faster than enterprise services or CloudWatch alone.
- Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus.No screenshots yet
- Free • Open Source
- Mac
- Windows
- Linux
- BSD
- Self-Hosted
- cloud-native, machine data analytics service for log management and time series metrics.