In today’s post, we’ll take a deep dive into Rails migrations. We’ll break down the migration into different pieces, and in the process, learn how to write an effective migration. We’ll learn how to write migrations for multiple databases, as well as how to handle failed migrations and techniques of performing rollbacks. To understand the whole post, you’ll need to have a basic understanding of databases and Rails.
Yesterday, my colleague Mike Elsmore wrote a blog about sending metrics to Logz.io Infrastructure monitoring – now let’s analyze them by building Grafana visualizations! Once you’ve started to send metric data to Logz.io, how do you visualize and interpret that data so that it’s useful for you? In Logz.io Infrastructure Monitoring, we use Grafana to provide dashboards and bring meaningful information to light.
For many companies today business success depends on quality efficient build, test and delivery processes. Development and deployment environments become complex very quickly, even for small and medium companies. A contributing factor to this complexity is companies’ adoption of microservices. This is where modern CI/CD solutions like CircleCI come in to help streamline these processes.
In the past few weeks, financial firms and governments have had to build and launch websites in a hurry — for a multitude of reasons including the emergency loan programmes that have been backed by various governments around the world including the USA and Europe.
With 200+ plugins, Telegraf has a wide variety of methods for scraping, writing, and querying data to and from InfluxDB. However, sometimes users need to perform data collection outside of the capabilities of Telegraf. Perhaps they need to collect custom data and monitor application performance. Maybe they want to take advantage of external tools and libraries to create beautiful web-based visualizations for their users.
There are two ways to test software. The first and most obvious is to simply allow users to test functionality by using the software as it was intended. This is the method likeliest to produce the most useful and practical results. The other method is by automating testing. This requires a second piece of software designed to provide input and analyze output from the original application.
