Metricly vs SignalFx
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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 | It is a SaaS-based adaptive monitoring solution that helps organizations monitor cloud services, applications, infrastructure, and public cloud costs. |
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; | Capacity analytics;
Performance analytics;
Demand monitoring;
Cost management;
Billing & provisioning;
Multi-cloud management;
Utilization reports;
EC2 cost reports. |
Statistics | |
Stacks 53 | Stacks 1 |
Followers 110 | Followers 1 |
Votes 22 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
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