Netflix FlameScope聽vs聽Thanos

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Netflix FlameScope
Netflix FlameScope

3
8
+ 1
0
Thanos
Thanos

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

Netflix FlameScope: A visualization tool for exploring different time ranges as Flame Graphs. FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range; 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.

Netflix FlameScope and Thanos belong to "Monitoring Tools" category of the tech stack.

Netflix FlameScope and Thanos are both open source tools. Thanos with 3.83K GitHub stars and 429 forks on GitHub appears to be more popular than Netflix FlameScope with 1.97K GitHub stars and 116 GitHub forks.

What is Netflix FlameScope?

FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

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 Netflix FlameScope and Thanos?
              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.
              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 is a host/service/network monitoring program written in C and released under the GNU General Public License.
              Graphite
              Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
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              Decisions about Netflix FlameScope and Thanos
              Joseph Irving
              Joseph Irving
              DevOps Engineer at uSwitch | 4 upvotes 29.4K 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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