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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. OpenTracing vs Veneur

OpenTracing vs Veneur

OverviewComparisonAlternatives

Overview

Veneur
Veneur
Stacks3
Followers16
Votes0
GitHub Stars1.7K
Forks178
OpenTracing
OpenTracing
Stacks243
Followers101
Votes0
GitHub Stars3.5K
Forks315

OpenTracing vs Veneur: What are the differences?

# OpenTracing vs Veneur

OpenTracing and Veneur are two popular tools used in monitoring and tracing systems. Below are some key differences between OpenTracing and Veneur for better understanding.

1. **Purpose**: OpenTracing is an open-source project for distributed tracing, providing a standardized API for instrumenting applications to send telemetry data to monitoring tools. On the other hand, Veneur is a monitoring and alerting system developed by Stripe, designed for high availability, easy deployment, and scalability.

2. **Community Support**: OpenTracing has a large community support with contributions from various organizations, making it widely adopted and actively maintained. In contrast, Veneur is primarily maintained by Stripe and may have limited community support compared to OpenTracing.

3. **Flexibility**: OpenTracing offers flexibility in terms of compatibility with various tracing systems and libraries, allowing users to choose the best solution for their specific use case. In contrast, Veneur is more focused on providing a streamlined monitoring and alerting solution, which may limit flexibility for users who require extensive customization.

4. **Scalability**: OpenTracing is designed to work with large-scale distributed systems, providing features for tracking requests across multiple services and components. Veneur, on the other hand, focuses on scalability within a single organization or deployment, offering tailored solutions for handling monitoring and alerting needs within that context.

5. **Integration**: OpenTracing integrates with a wide range of tools and platforms, making it easier to incorporate tracing capabilities into existing systems. Veneur, while capable of integration with other tools, may require additional effort for seamless integration due to its specialized design and focus on specific use cases.

6. **Documentation**: OpenTracing has extensive documentation, tutorials, and resources available to help users understand and implement distributed tracing effectively. Veneur, being a more specialized tool, may have limited documentation compared to OpenTracing, requiring users to rely more on experimentation and direct support channels for assistance.

In Summary, OpenTracing and Veneur differ in purpose, community support, flexibility, scalability, integration, and documentation, offering distinct advantages and limitations in monitoring and tracing systems.

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Detailed Comparison

Veneur
Veneur
OpenTracing
OpenTracing

Veneur (venn-urr) is a server implementation of the DogStatsD protocol, which is a superset of the StatsD protocol. Veneur is currently handling all metrics for Stripe and is considered production ready.

Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

Statistics
GitHub Stars
1.7K
GitHub Stars
3.5K
GitHub Forks
178
GitHub Forks
315
Stacks
3
Stacks
243
Followers
16
Followers
101
Votes
0
Votes
0
Integrations
Datadog
Datadog
Golang
Golang

What are some alternatives to Veneur, OpenTracing?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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