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

Cilium is open source software for providing and transparently securing network connectivity and loadbalancing between application workloads such as application containers or processes. Cilium operates at Layer 3/4 to provide traditional networking and security services as well as Layer 7 to protect and secure use of modern application protocols such as HTTP, gRPC and Kafka. Cilium is integrated into common orchestration frameworks such as Kubernetes.
 
A new Linux kernel technology called eBPF is at the foundation of Cilium. It supports dynamic insertion of eBPF bytecode into the Linux kernel at various integration points such as: network IO, application sockets, and tracepoints to implement security, networking and visibility logic. eBPF is highly efficient and flexible.

Cilium is open source software for providing and transparently securing network connectivity and loadbalancing between application workloads such as application containers or processes. Cilium operates at Layer 3/4 to provide traditional networking and security services as well as Layer 7 to protect and secure use of modern application protocols such as HTTP, gRPC and Kafka. Cilium is integrated into common orchestration frameworks such as Kubernetes.

Cilium -  eBPF-based Networking, Security, and Observability

Pyroscope is an open source continuous profiling platform. It will help you Find performance issues in your code, Resolve issues with high CPU utilization, Understand the call tree of your application, Track changes over time. It can store years of profiling data from multiple applications. You can look at years of data at a time or zoom in on specific events. 

Pyroscope - Open Source Continuous Profiling Platform


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

OpenStatus is open-source synthetic monitoring platform with beautiful status page. It helps to
<ul>
<li>Check if your endpoint is up and running with one click</li>
<li>Define the region where to call the request and the frequency how often to call it.</li>
<li>Add your own custom headers</li>
<li>Generate alerts on failure&nbsp;</li>
</ul>

OpenStatus is open-source synthetic monitoring platform with beautiful status page.

OpenStatus - The open-source monitoring platform

OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools. 
 
The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process, and export telemetry data in a seamless way. In addition, it removes the need to run, operate, and maintain multiple agents/collectors in order to support open-source observability data formats (e.g. Jaeger, Prometheus, etc.) sending to multiple open-source or commercial back-ends.

OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools. 



OpenTelemetry makes robust, portable telemetry a built-in feature of cloud-native software

Hypertrace is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace provides observability into your application architecture. It includes global, service and backend dashboards, allowing teams fast insight into service level objectives.
 
Hypertrace ingests, in real time, traces in any major format. If your app or service mesh sends traces using Jaeger, OpenTelemetry or Zipkin, it already works with Hypertrace. The Hypertrace Platform stores, aggregates, and prepares data for visualization and analysis. It presents actionable insights for app improvement using flowmaps, charts, reports, and customizable dashboards.

Hypertrace is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace provides observability into your application architecture. It includes global, service and backend dashboards, allowing teams fast insight into service level objectives.

Hypertrace - Distributed tracing & Observability platform

Chaos Genius is an open source ML powered analytics engine for outlier detection and root cause analysis. Chaos Genius can be used to monitor and analyse high dimensionality business, data and system metrics at scale. Using Chaos Genius, users can segment large datasets by key performance metrics (e.g. Daily Active Users, Cloud Costs, Failure Rates) and important dimensions (e.g., countryID, DeviceID, ProductID, DayofWeek) across which they want to monitor and analyse the key metrics.

Chaos Genius - ML powered analytics engine for outlier detection and root cause analysis

K-Atlas (pronounced Cutlass), is a distributed graph based platform to automatically collect, discover, explore and relate multi-cluster Kubernetes resources and metadata. K-Atlas's rich query language allows for simple and efficient exploration and extensibility. It addresses following problems in a large scale enterprise environment of Kubernetes.

katlas - A distributed graph-based platform to automatically collect, discover, explore and relate multi-cluster kubernetes resources and metadata

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