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Exception Monitoring Across Environments

Tools like Rollbar have changed the way development teams are recording and managing their exceptions. What used to be a very personal developer-by-developer activity can now be a team-wide tool for greater transparency, and increased application quality. But many still treat exception monitoring as a developer activity, and they are not leveraging its benefits across all environments, from development to stage and integration, to systems testing and production.

Most Popular Java Web Frameworks in 2019

As Java has evolved over the years, multiple attempts have been made to simplify development for various use cases. From official standards like Java Enterprise Edition, to community-driven frameworks, Java is continuing to prove itself to be adaptable and viable. Our top list is based on usage from Hotframework.com's Java ranking and several other sources including blog posts and GitHub download numbers.

Upload Source Maps to Rollbar

In production, the most important advantage of using a build tool like webpack is a smaller size and thus improved overall application performance. Although beneficial for our users, the bundled and minified code is harder to debug for developers as the code they have written doesn't map 1:1 to error stack traces. Multiple tools for minifying, bundling and transpiring JavaScript modules can generate source maps along with the resulting code.

Continuous Delivery with Jenkins and Rollbar

Continuous delivery (CD) helps reduce the cost, time and risk of delivering changes by allowing for fast incremental updates to applications in production. However, it’s essential to monitor your application after each deployment. You need to be notified immediately if something is wrong or users are having a poor experience. Rollbar is a leading solution for error monitoring in the software development lifecycle. It alerts you when new errors occur after a deployment.

How We're Improving Error Grouping

Imagine that you are developing an application and there's an error in the code. When you release it to production, this error causes hundreds of thousands of crashes. In this case, a logging tool would list all the crashes but an error monitoring tool, like Rollbar, would attempt to group the crashes together. Now you would receive just one notification about an error that crashed hundreds of thousands of times instead of many notifications about different crashes.

Rollbar to Offer Its Error-Monitoring Solution on Google Cloud Platform Marketplace

SAN FRANCISCO - April 9, 2019 -- Rollbar, provider of real-time error monitoring Software as a Service, announced today its partnership with Google Cloud and its availability on the Google Cloud Platform (GCP) Marketplace. Rollbar provides automatic error detection and analysis centered around its customizable grouping engine.

Introducing Interactive Slack Notifications

Quickly responding to new, reactivated, and otherwise important exceptions is a critical part of adopting continuous delivery and other DevOps best practices. Rollbar provides code version-specific dashboards and a live feed for proactively monitoring for exceptions during a deploy, but for those exceptions that happen when you aren't actively watching Rollbar, our Slack integration is the most popular way to get real-time alerts.

Introducing the Rollbar Pipe for Bitbucket Pipelines

Automating your deployment process is a critical step towards adopting continuous delivery. For teams that use Bitbucket for hosting their source code, Bitbucket Pipelines provide an easy way to automatically build and deploy when changes are made in your origin repository. The Rollbar team is excited to participate in the launch of Bitbucket Pipes, which make it even easier to configure your pipeline.

4 Reasons Why You Need Error Monitoring

Errors are a fact of life in web development, and even the world's greatest brands are not without fault. Errors can create unhappy customers, deter new ones and reduce revenues. An error monitoring solution offers a clear view of the most important errors based on how often they occur and how they impact users. It will give your engineering team confidence to deploy faster, and debug problems quickly, so they can get back to building new features.