Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.
 
When run in a cluster, Cortex can replicate data between machines. This allows you to survive machine failure without gaps in your graphs. Cortex can isolate data and queries from multiple different independent Prometheus sources in a single cluster, allowing untrusted parties to share the same cluster.
 
Cortex supports Amazon DynamoDB, Google Bigtable, Cassandra, S3, GCS and Microsoft Azure for long term storage of metric data. This allows you to durably store data for longer than the lifetime of any single machine, and use this data for long term capacity planning.

Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.



Cortex - A multitenant, horizontally scalable Prometheus as a Service

SkyWalking is an APM (application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. SkyWalking is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. It supports to collect telemetry (metrics, traces, and logs) data from multiple sources and multiple formats.
 
Features:
<ul>
<li>Service, service instance, endpoint metrics analysis</li>
<li>Root cause analysis. Profile the code on the runtime</li>
<li>Service topology map analysis</li>
<li>Service, service instance and endpoint dependency analysis</li>
<li>Slow services and endpoints detected</li>
<li>Performance optimization</li>
<li>Distributed tracing and context propagation</li>
<li>Database access metrics. Detect slow database access statements(including SQL statements)</li>
<li>Alarm</li>
<li>Browser performance monitoring</li>
<li>Infrastructure(VM, network, disk etc.) monitoring</li>
<li>Collaboration across metrics, traces, and logs</li>
</ul>

SkyWalking is an APM (application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. SkyWalking is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. It supports to collect telemetry (metrics, traces, and logs) data from multiple sources and multiple formats.

Skywalking - APM, Application Performance Monitoring System

SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using Kafka (to handle high ingestion rate and backpressure) and Apache Druid (Apache Druid is a high performance real-time analytics database), both proven in the industry to handle scale.
 
Features: 
<ul>
<li>Application overview metrics like RPS, 50th/90th/99th Percentile latencies, and Error Rate</li>
<li>Slowest endpoints in your application</li>
<li>See exact request trace to figure out issues in downstream services, slow DB queries, call to 3rd party services like payment gateways, etc</li>
<li>Filter traces by service name, operation, latency, error, tags/annotations.</li>
<li>Aggregate metrics on filtered traces. Eg, you can get error rate and 99th percentile latency of <code>customer_type: gold</code> or <code>deployment_version: v2</code> or <code>external_call: paypal</code></li>
<li>Unified UI for metrics and traces. No need to switch from Prometheus to Jaeger to debug issues.</li>
<li>In-built workflows to reduce your efforts in detecting common issues like new deployment failures, 3rd party slow APIs, etc (Coming Soon)</li>
<li>Anomaly Detection Framework (Coming Soon)</li>
</ul>

SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using Kafka (to handle high ingestion rate and backpressure) and Apache Druid (Apache Druid is a high performance real-time analytics database), both proven in the industry to handle scale.

Signoz - Open-source Observability platform and an alternative to DataDog, NewRelic

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Cortex - A multitenant, horizontally scalable Prometheus as a Service

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Cortex - A multitenant, horizontally scalable Prometheus as a Service

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Signoz - Open-source Observability platform and an alternative to DataDog, NewRelic

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