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Jaeger
Jaeger

75
56
+ 1
0
Thanos
Thanos

11
17
+ 1
0
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Jaeger vs Thanos: What are the differences?

Jaeger: Distributed tracing system released as open source by Uber. Jaeger, a Distributed Tracing System; Thanos: Highly available Prometheus setup with long term storage capabilities. Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

Jaeger and Thanos can be primarily classified as "Monitoring" tools.

Jaeger and Thanos are both open source tools. Jaeger with 8.42K GitHub stars and 848 forks on GitHub appears to be more popular than Thanos with 3.83K GitHub stars and 429 GitHub forks.

What is Jaeger?

Jaeger, a Distributed Tracing System

What is Thanos?

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.
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        What are some alternatives to Jaeger and Thanos?
        Zipkin
        It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.
        AppDynamics
        AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
        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.
        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.
        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.
        See all alternatives
        Decisions about Jaeger and Thanos
        Joseph Irving
        Joseph Irving
        DevOps Engineer at uSwitch | 4 upvotes 28.6K views
        atuSwitchuSwitch
        Kubernetes
        Kubernetes
        Prometheus
        Prometheus
        Thanos
        Thanos

        We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

        Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

        Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

        If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

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