The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Due to the growing usage of online methods for almost everything globally, technology has become a part of our daily lives. Most people around the world are using mobile apps and websites. Most of the companies are already adopting brand-new tech stacks faster. They are trying hard to implement all the features and make their system robust and powerful. But it is not easy to make an application error-free. It is impossible to track all the issues, reproduce them, and fix them before shipping code.
Monitoring MySQL with Prometheus is easy to do thanks to the MySQL Prometheus Exporter. MySQL doesn’t need an introduction – it’s one of the most used relational databases in the world, and it’s also open-source! Being such a popular database means that the community behind it is also huge. So don’t worry: you won’t be alone.
In the last 2 installments (Part 1 & Part 2), we discussed the basics of IoT and an example of how the components can be connected and used to provide basic automation and alerting. These seemingly simple steps can build up to provide very advanced controls of all aspects of the physical world. The challenge can become managing situations that were not expected.
It’s nearly here. The annual mad rush at the wee hours of the morning. The stampede into retail stores to claim really deep discounts on the latest toys, electronics, and gadgets makes headline news every year. It begins the day after Thanksgiving and is usually two of the biggest shopping days of the year. Yes, we’re talking about Black Friday and Cyber Monday.
Within distributed applications, data moves across many loosely connected endpoints, microservices, and teams, making it difficult to know when services are storing—or inadvertently leaking—sensitive data. This is especially true for governance, risk management, and compliance (GRC) or other security teams working for enterprises in highly regulated industries, such as healthcare, banking, insurance, and financial services.
Recently, I explored the case for Graylog as an outstanding means of aggregating the specialized training data needed to build a successful, customized artificial intelligence (AI) project. Well, that’s true, of course. My larger point, though, was that Graylog is a powerful and flexible solution applicable to a very broad range of use cases (of which AI development is just one).
The Telegraf 1.20.3 release changed the official Telegraf DockerHub image to no longer run the Telegraf service as root. With this change, the Telegraf service runs with the least amount of privileges in the container to enhance security given the wide extensibility and array of plugins available in Telegraf.
This article was written by Nicolas Bohorquez and was originally published in The New Stack. Scroll below for the author’s picture and bio. Telegraf is the preferred way to collect data for InfluxDB. Though in some use cases, client libraries are better, such as when parsing a stream of server-side events. In this tutorial, you’ll learn how to read a data stream, store it as a time series into InfluxDB and run queries over the data using InfluxDB’s JavaScript client library.
