Rollbar announced AI-assisted workflows powered by its new automation-grade grouping engine.
These new features enable developers to spend less time monitoring, investigating, and debugging, and more time creating new products and features that will delight their customers.
“Our AI-assisted workflows, powered by our automation-grade grouping, are an industry first to reduce the daily noise and manual work of fixing code for developers so they can focus on building and innovating,” said Rollbar CEO and Co-founder Brian Rue. “Our investment in these automation features and our Continuous Code Improvement Platform – along with our company expansion, growing customer base, recent Series B funding, and new visual brand identity – highlight our commitment to help developers build software quickly and painlessly.”
Automation-grade grouping is the next-generation of Rollbar’s grouping engine. Unlike many in the industry that use hard-coded grouping algorithms, Rollbar uses machine learning to determine patterns on an ongoing basis to continuously improve the engine while also identifying unique errors in real time. This eliminates noise caused by missed or false alarms and provides the foundation for AI-assisted workflows.
Hard-coded rules make it impossible to keep up with constantly changing error types. That’s why Rollbar regularly runs its machine learning model against new errors from customers to recognize different error types, and to group them effectively. This had led to industry-leading grouping accuracy in Rollbar’s platform. For example, Rollbar’s performance for JavaScript has increased by over 26% as measured by the Matthews correlation coefficient (MCC), a widely used metric for measuring machine learning performance.
The three AI-assisted workflows Rollbar introduced today are:
- Rollbar Toolkit for Kubernetes, with the first workflow of the toolkit being an integration with Prometheus, Kubernetes, and Weaveworks Flagger, gives development teams the ability to automatically halt, sustain, or expand for progressive deployments using Rollbar error data. Developers no longer need to actively monitor deployments for errors and can quickly react to and resolve any critical errors.
- Automated Feature Flag Triggers, an integration with LaunchDarkly, enables development teams to proactively discover errors and instantly turn off any feature, at any time, based on new and reactivated errors associated with that feature flag. This lowers the risk of deployments and minimizes the impact on users when something goes wrong. “Automation can be scary, but we know that there are circumstances when something so serious happens in production that remediation needs to take place before triage. Rollbar’s Automated Feature Flag Triggers helps solve this critical issue for LaunchDarkly customers,” said Adam Zimman, VP of Product, LaunchDarkly.
- Automated Issue Tracking allows users to generate tickets in any issue tracking tool (such as Jira or GitHub) automatically for any new or critical error based on predetermined rules. This helps developers save time by avoiding manual ticket generation and ensuring that all issues are being addressed.
The Latest
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
