Docker has kept its popularity for quite a few years now (without surprise). Its success is based on many things like scalling, microservices and also its network solutions (and many more). In this article I'll focus solely on docker networks and how they work.
Grafana is a data visualization and monitoring tool allowing you to show metrics stored for example in InfluxDB as charts. It gives you possibility to create dashboards to link charts or histograms into connected groups. Thanks to built-in InfluxDB support it automatically handles provided aggregation functions. Query editor supports also tag or field completion.
InfluxDB it is a database oriented on time series. It was designed to accept large number of queries and write requests. It is perfect for storing timestamped data – data we would like to query by timestamp rather than index. It supports SQL-like language to easily pull data off as well as JSON requests through HTTP API. Influx uses tags and fields - tags to easily index series of data (you can query by it after where clause) and fields for keeping values (select field_1, field_2 from … )
In a previous article I’ve introduced you Heroku basics and deployed spring-boot-based application there. In the second part I will show you how to add database support and get a little bit into logs and metrics.
Let’s assume we want to measure air pollution in our city. We’ve got around 100 detectors located in different parts of the town. Measurement results are collected every 15 minutes. It gives us 9600 records a day...
We live in the world where we are bombarded with huge amount of information, news and advertising. Computer network becomes the central place of business. For this reason databases become fatter and fatter.
JSQL Parser is open source library developed under dual license: LGPL V2.1 and Apache Software License. Main responsibility of the framework is parsing of SQL statements.