micrometer
influxdb3-python
| micrometer | influxdb3-python | |
|---|---|---|
| 4 | 5 | |
| 4,336 | 45 | |
| 0.8% | - | |
| 9.8 | 7.8 | |
| 3 days ago | 2 days ago | |
| Java | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
micrometer
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How to Store Spring Boot Application Metrics in InfluxDB
In this tutorial, you'll learn how to build a Java web application with Spring Boot that collects metrics via the Micrometer library and automatically sends them to an instance of InfluxDB, the ideal database for storing this type of data.
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Introduction to Spring Scheduled and monitoring the task with Spring Actuator ️🕛️📈️
If you want to visualize Spring Actuator and monitor your application’s performance simultaneously, use Micrometer (maybe I will share about this in another time).
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Vendor lock-in is in the small details
I've bounced around Splunk, New Relic, Sentry and Datadog over the years. Most recently, I was working with Java and used the open source Vendor-neutral application observability facade Micrometer[1] to test out and confirm which APM we wanted to go with.
[1] https://micrometer.io
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🎀 Spring Boot 2.7.0 Released
Micrometer 1.9
influxdb3-python
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System Design: Databases and DBMS
InfluxDB
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Monitoring, Observability, and Telemetry Explained
Scalability and Performance: Consider the scalability and performance capabilities, especially if your organization handles large volumes of data or has a growing user base. Ask yourself, "Is this tool capable of scaling with our organization's growth and maintaining performance under increased data loads?" You can utilize a tool like InfluxDB for scalable time-series data storage.
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How to Store Spring Boot Application Metrics in InfluxDB
In this tutorial, you'll learn how to build a Java web application with Spring Boot that collects metrics via the Micrometer library and automatically sends them to an instance of InfluxDB, the ideal database for storing this type of data.
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
InfluxDB — Timeseries database, free up to 3MB/5 minutes writes, 30MB/5 minutes reads and 10,000 cardinalities series
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Client Library Deep Dive: Python (Part 2)
We wanted a robust way to test the newly created InfluxDB 3.0 Python Client library, as you will see most of the tooling and functionality in use.
What are some alternatives?
zipkin - Zipkin is a distributed tracing system
opteryx - 🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.
Spring Security - Spring Security
vdsql - VisiData interface for databases
cache2k - Lightweight, high performance Java caching
influxdb3-python-cli - This repository extends the python client library with an interactive command line interface
tracing - Provides tracing abstractions over tracers and tracing system reporters.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
arrow - Better dates & times for Python [Moved to: https://github.com/arrow-py/arrow]
leakcanary - A memory leak detection library for Android.
elasticsearch-mapper-attachments - Mapper Attachments Type plugin for Elasticsearch