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What is Zipkin?

It assists in gathering timing details that are crucial for identifying latency problems in service architectures. Its capabilities include both the collection and retrieval of this vital information. With a trace ID from a log, you can seamlessly access the related data. In cases where a trace ID is unavailable, queries can be conducted using multiple parameters such as service names, operation titles, tags, and duration. Furthermore, important data is presented in a summarized format, showcasing the time allocation for each service as well as the success or failure rates of operations. The Zipkin user interface is equipped with a dependency diagram that visualizes the number of traced requests handled by each application, making it easier to spot general trends, including error patterns and interactions with legacy services. This visualization aids in pinpointing specific issues within the system. Ultimately, this tool not only streamlines the troubleshooting process but also deepens the understanding of service interactions in intricate architectures. The insights gained can lead to more informed decision-making and improvements in service performance over time.

What is Prometheus?

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements.

Media

Media

Integrations Supported

Apache Kafka
GitHub
RabbitMQ
ActiveMQ

Integrations Supported

Apache Kafka
GitHub
RabbitMQ
Comet Backup
Diego
Flockport
HighAvailabilityData
KubeGrid
Marathon
Observo AI
OpenCost
SCM-Manager
Superblocks
Sysdig Monitor
Temperstack
TierZero
Traefik Mesh
TrueNAS
Verdonz

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Zipkin

Company Website

zipkin.io

Company Facts

Organization Name

Prometheus

Date Founded

2012

Company Website

prometheus.io

Categories and Features

Categories and Features

Container Monitoring

Not specified

Database

Not specified

Network Monitoring

Not specified

Observability

Not specified

Server Monitoring

Not specified

Telemetry

Not specified

Time Series Databases

Not specified

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Popular Alternatives

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