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blueflood | distributed system designed to ingest and process time | Time Series Database library

 by   rackerlabs Java Version: blueflood-2.0.0 License: Apache-2.0

 by   rackerlabs Java Version: blueflood-2.0.0 License: Apache-2.0

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kandi X-RAY | blueflood Summary

blueflood is a Java library typically used in Database, Time Series Database, Kafka, Hadoop applications. blueflood has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
Blueflood is a multi-tenant, distributed metric processing system. Blueflood is capable of ingesting, rolling up and serving metrics at a massive scale.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • blueflood has a low active ecosystem.
  • It has 592 star(s) with 102 fork(s). There are 100 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 35 open issues and 38 have been closed. On average issues are closed in 185 days. There are 14 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of blueflood is blueflood-2.0.0
blueflood Support
Best in #Time Series Database
Average in #Time Series Database
blueflood Support
Best in #Time Series Database
Average in #Time Series Database

quality kandi Quality

  • blueflood has 0 bugs and 0 code smells.
blueflood Quality
Best in #Time Series Database
Average in #Time Series Database
blueflood Quality
Best in #Time Series Database
Average in #Time Series Database

securitySecurity

  • blueflood has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • blueflood code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
blueflood Security
Best in #Time Series Database
Average in #Time Series Database
blueflood Security
Best in #Time Series Database
Average in #Time Series Database

license License

  • blueflood is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
blueflood License
Best in #Time Series Database
Average in #Time Series Database
blueflood License
Best in #Time Series Database
Average in #Time Series Database

buildReuse

  • blueflood releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
blueflood Reuse
Best in #Time Series Database
Average in #Time Series Database
blueflood Reuse
Best in #Time Series Database
Average in #Time Series Database
Top functions reviewed by kandi - BETA

kandi has reviewed blueflood and discovered the below as its top functions. This is intended to give you an instant insight into blueflood implemented functionality, and help decide if they suit your requirements.

  • Calculate metrics for a given range of metrics .
    • Perform rollup .
      • Set the glob pattern .
        • Handle the incoming request .
          • Parses the parameters map .
            • Serialize a point .
              • Compute the overall variance .
                • Insert metrics for a locator
                  • Index bulk url .
                    • Monitor connection .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      blueflood Key Features

                      A distributed system designed to ingest and process time series data

                      Community Discussions

                      Trending Discussions on Time Series Database
                      • How do I instrument region and environment information correctly in Prometheus?
                      • Amazon EKS (NFS) to Kubernetes pod. Can't mount volume
                      • InfluxDB not starting: 8086 bind address already in use
                      • Writing the data to the timeseries database over unstable network
                      • Recommended approach to store multi-dimensional data (e.g. spectra) in InfluxDB
                      • What to report in a time serie database when the measure failed?
                      • R ggplot customize month labels in time series
                      • How Can I Generate A Visualisation with Multiple Data Series In Splunk
                      • How can I deploy QuestDB on GCP?
                      • Group By day for custom time interval
                      Trending Discussions on Time Series Database

                      QUESTION

                      How do I instrument region and environment information correctly in Prometheus?

                      Asked 2022-Mar-09 at 17:53

                      I've an application, and I'm running one instance of this application per AWS region. I'm trying to instrument the application code with Prometheus metrics client, and will be exposing the collected metrics to the /metrics endpoint. There is a central server which will scrape the /metrics endpoints across all the regions and will store them in a central Time Series Database.

                      Let's say I've defined a metric named: http_responses_total then I would like to know its value aggregated over all the regions along with individual regional values. How do I store this region information which could be any one of the 13 regions and env information which could be dev or test or prod along with metrics so that I can slice and dice metrics based on region and env?

                      I found a few ways to do it, but not sure how it's done in general, as it seems a pretty common scenario:

                      I'm new to Prometheus. Could someone please suggest how I should store this region and env information? Are there any other better ways?

                      ANSWER

                      Answered 2022-Mar-09 at 17:53

                      All the proposed options will work, and all of them have downsides.

                      The first option (having env and region exposed by the application with every metric) is easy to implement but hard to maintain. Eventually somebody will forget to about these, opening a possibility for an unobserved failure to occur. Aside from that, you may not be able to add these labels to other exporters, written by someone else. Lastly, if you have to deal with millions of time series, more plain text data means more traffic.

                      The third option (storing these labels in a separate metric) will make it quite difficult to write and understand queries. Take this one for example:

                      sum by(instance) (node_arp_entries) and on(instance) node_exporter_build_info{version="0.17.0"}
                      

                      It calculates a sum of node_arp_entries for instances with node-exporter version="0.17.0". Well more specifically it calculates a sum for every instance and then just drops those with a wrong version, but you got the idea.

                      The second option (adding these labels with Prometheus as a part of scrape configuration) is what I would choose. To save the words, consider this monitoring setup:

                      Datacener Prometheus Regional Prometheus Global Prometheus
                      1. Collects metrics from local instances. 2. Adds dc label to each metric. 3. Pushes the data into the regional Prometheus -> 1. Collects data on datacenter scale. 2. Adds region label to all metrics. 3. Pushes the data into the global instance -> Simply collects and stores the data on global scale

                      This is the kind of setup you need on Google scale, but the point is the simplicity. It's perfectly clear where each label comes from and why. This approach requires you to make Prometheus configuration somewhat more complicated, and the less Prometheus instances you have, the more scrape configurations you will need. Overall, I think, this option beats the alternatives.

                      Source https://stackoverflow.com/questions/71408188

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install blueflood

                      The latest code will always be here on Github.

                      Support

                      First, we welcome bug reports and contributions. If you would like to contribute code, just fork this project and send us a pull request. If you would like to contribute documentation, you should get familiar with our wiki. Also, we have set up a Google Group to answer questions. If you prefer IRC, most of the Blueflood developers are in #blueflood on Freenode.

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