Operations | Monitoring | ITSM | DevOps | Cloud

The DevOps field is engaged in a great, collective migration into the cloud. Businesses are decentralizing their applications and databases, hosting them in the cloud to make them available regardless of geography or user device. Some organizations choose to host their applications on private servers, but in periods of high demand take advantage of the public cloud by directing overflow traffic to cloud servers. This approach is called cloud bursting.

Ever since CircleCI introduced webhooks, I have been excited about the possibilities this new way of integration opens up to developers. I decided to try out one of the use cases described in the webhooks documentation. This use case involves transmitting information about build-pipeline workflows into an Airtable database. The data piped into Airtable forms a log for you to monitor your workflows and you can go as far as designing graphs and other visualizations to analyze the build data.

Breaking changes in production are inconvenient and can be costly to fix. Using commands like git clone < some GitHub repository >, executed on your terminal is a common practice, known as using the command line. This practice can be faster and more efficient than using a GUI. For this tutorial, I will walk you through the process of testing command-line applications git, explain why you need command-line applications, and describe in detail how they work.

Configuration files can take some time to set up, but after that initial push they are easy to forget about. “If it’s not broken, don’t fix it” is a common approach that many developers take with their configuration files. But when it comes to your continuous integration pipelines, small changes can have huge benefits.

Continuous integration has become a widely accepted practice for software projects. As more technologies are introduced in both continuous integration and software development, developers are looking for practical ways to benefit from them. Basic tutorials that cover toy examples are not always enough for real-life practitioners. As an actual user of Django, Docker, and CircleCI, this was certainly a pain point for me. That is why I wrote this tutorial.

Because computers rely on data to execute instructions, computing will always entail data interaction. The amount of data can be overwhelming in real world applications, so developers must consistently devise methods to access it quickly and efficiently in a programmatic way. A solid understanding of data structures is a great advantage for teams that specialize in developing tools and systems. Organizing data optimally maximizes efficiency and makes data processing easy and seamless.

In this tutorial, I will show you how to set up a continuous deployment pipeline to deploy a Laravel application to the Heroku platform with minimum hassle. Automating deployment helps teams limit human intervention during the deployment process, reducing the risk of errors and streamlining the entire software release process.