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Ruby

Monitor Ruby Application Performance with Magic Dashboards

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.

Automate Your Boring Tasks with Ruby

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.

Ruby - Tracing a Ruby application with OpenTelemetry for performance monitoring

Tracing your application can give the much needed context required to troubleshoot performance issues. OpenTelemetry is an open-source project that can help you to set up an observability framework for your cloud-native applications. In this tutorial, we will use SigNoz as our backend analysis tool. SigNoz is a full-stack open-source APM tool that can be used for storing and visualizing the telemetry data collected with OpenTelemetry. It is built natively on OpenTelemetry and works on the OTLP data formats.

Monitoring Ruby on Rails with InfluxDB

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.

Tracing a Ruby application with OpenTelemetry for performance 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.

The Sentry Ruby SDK now supports Release Health

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.

Parallelizing Queries with Rails 7's `load_async`

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.

Analyze Ruby code performance with Datadog Continuous Profiler

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.