Chronicler Alternatives

Scala toolchain for InfluxDB
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Alternatives To fsanaulla/chronicler
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
zhisheng17/flink-learning 13,801 0 0 over 2 years ago 0 8 apache-2.0 Java
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
lensesio/stream-reactor 960 0 1 about 2 years ago 1 December 27, 2018 75 apache-2.0 Scala
A collection of open source Apache 2.0 Kafka Connector maintained by Lenses.io.
shijuvar/gokit 530 0 0 over 2 years ago 10 March 29, 2022 20 apache-2.0 Go
Go Examples: From basics to distributed systems
raystack/firehose 341 0 0 over 1 year ago 0 10 apache-2.0 Java
Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
rapidloop/sop 85 0 0 over 8 years ago 1 October 03, 2017 0 apache-2.0 Go
Multi-purpose metrics management tool
fsanaulla/chronicler 26 0 12 almost 4 years ago 41 November 18, 2021 7 apache-2.0 Scala
Scala toolchain for InfluxDB
fsanaulla/chronicler-spark 25 0 2 almost 4 years ago 21 November 18, 2021 6 apache-2.0 Scala
InfluxDB connector to Apache Spark on top of Chronicler
arista-netdevops-community/arista_eos_streaming_telemetry_with_gnmi_and_telegraf 9 0 0 almost 5 years ago 0 2 apache-2.0
Stream OpenConfig telemetry and native telemetry from Arista EOS devices to Telegraf. Store collected data in influxDB. Query influxDB with CLI and python.
fullcontact/crankshaftd 6 0 0 almost 9 years ago 1 April 20, 2017 2 apache-2.0 Go
Simple Go agent to ingest streaming data from Turbine via SSE and push it into StatsD as a gauge or to InfluxDB.
amlozano/twitter-stream-metrics 5 0 0 over 6 years ago 0 0 apache-2.0 Scala
Framework to aggregate metrics from Twitter Stream in real-time
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