The deployment of Ruby on Rails and Rack frameworks is embedded in Cloud 66’s DNA, but we are always interested to see other Ruby frameworks becoming popular, and happy to support developers who prefer to use them instead of Rails. In this post, we’re going to show you how easy it is to deploy a Hanami Ruby application on AWS cloud with Cloud 66. The recent Hanami v2.0 release brought a lot of incremental upgrades to the framework, which made it more mature.

Application teams must understand what their customer experience is like. This is true not only from a general perspective (in terms of usability and responsiveness) but also on a day-to-day, minute-by-minute basis. In particular, when you work with distributed systems, errors are inevitable. Site traffic fluctuates throughout the day, and any one of a system’s dependencies could also encounter an issue at any time.

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If you aren’t already fed up with doing the same boring stuff over and over again, you will In the long run. Tasks which are repeated again and again in the same manner, such as System administration tasks, such as uploading your codebase, adjusting settings, repeatedly running commands, etc. tend to sap the enthusiasm you experience when working on your project.

Time series databases like InfluxDB are databases that specialize in handling time series data, which is data that is indexed by time. Unlike traditional databases, time series databases are optimized for reading and writing data with less performance consideration for updating or deleting data. Due to the time-dependent nature of time series data, time series databases are handy for application monitoring.

Ruby on Rails is a popular MVC framework for creating web applications. It is necessary to monitor your Ruby applications for performance issues. In today’s cloud-native and microservices-based architecture, it is difficult for engineering teams to troubleshoot performance issues. Tracing your application can give the much needed context required to troubleshoot performance issues.

Developers work tirelessly to publish updates to improve their products and services because, as we all know, a better user experience = happier customers. While shipping updates, features, and improved capabilities can help improve your user’s experience, introducing new code can also introduce new issues; and finding exactly what update caused a release to degrade can be time consuming and costly.

As you're likely well aware, Rails 7 was released last month bringing a number of new features with it. One of the features we're most excited about is load_async. This features allows for multiple Active Record queries to be executed in parallel which can be a great tool for speeding up slow requests. Since Rails introduces an entirely new infrastructure for load_async, Skylight's existing integration wasn't capturing all of these queries.

Ruby is an object-oriented programming language celebrated for its simple and easy-to-read syntax. It powers Ruby on Rails, the open source web development framework that streamlines common development tasks involved in building web applications. We’re pleased to announce that our Continuous Profiler, which provides low-overhead, code-level performance insights, is now generally available for Ruby applications.