Sentry announced significant upgrades including new support for its growing European customer base with EU data residency support, enhancements to Performance Monitoring and Session Replay, as well as the addition of new platforms, integrations, and public APIs.
These new capabilities help developers ensure near-perfect user experiences by identifying and resolving any software errors and performance bottlenecks - all delivered in their workflow and toolchain.
With Data Residency now available for the EU, customers have the option to store and process event data exclusively in the European Union, helping them comply with corporate policies and local compliance requirements. This expansion is a significant step forward in Sentry’s mission to provide secure, compliant, and privacy-focused solutions for its customers.
“As an EMEA-based company, complying with EU data privacy laws is essential, but so is maintaining our rapid developer velocity. We selected Sentry because their application monitoring platform combines best-in-class performance and error tracking with the ability to control where our user data lives. With Sentry’s new EU cloud offering, our developers can continue to ship code quickly and monitor app health without compromising security,” explains CEO, Johannes Nagl of Swat.io
Monitor user experience and take action on slowdowns with updates to Sentry performance:
- JavaScript Profiling in Production: As the only solution that supports frontend profiling in production, JavaScript developers can gain critical insights into their code’s performance, helping them pinpoint and rectify bottlenecks more effectively.
- Identify Regressed Function Calls at the Code Level: Developers can now automatically detect regressed functions - and their corresponding impacted API endpoints - making it even easier to optimize their applications for smoother user experiences.
- Actionable Web Vitals Workflow: Sentry has revamped how to leverage the concept of Web Vitals to solve the most important issues, taking you from poor-performing Web Vitals to resource-intensive code, to help developers discover and solve performance problems in their applications.
- Find Slow Database Queries: Sentry recently announced Query Insights which shows ok you slow-loading queries, how it’s impacting users, and the specific endpoint, correlated issues, and spans causing the slowdown.
Resolve silent customer-impacting issues with Session Replay: Sentry has enhanced its privacy-first Session Replay offering by introducing rage and dead click detection, as well as User Feedback functionality, allowing developers to proactively address customer-impacting issues and receive direct feedback from users regarding issues like typos, confusing labels, or unresponsive interactive elements. This update ensures the subtle signs of user dissatisfaction are not overlooked and provides developers with both written customer feedback and video-like reproductions to quickly reproduce and resolve these issues.
Improve developer workflows with support for emerging technologies and new public APIs: With the most robust platform support across 100+ frameworks and languages, Sentry continues to be the leader in supporting developers wherever they run their code. To that end, Sentry has re-architected its JavaScript SDK to be WinterCG compatible, allowing it to be the first to market with the support of modern Node-based frameworks like Deno, Bun, and edge runtimes.
Sentry has also made new APIs available, including alert rules and notifications, enabling the creation of robust integrations like Instacart's internal canary release detection, or recent public integrations by LaunchDarkly, Cloudflare, and Atlassian – all focusing on simplifying issue tracking and alerting across any workflow to help improve the developer experience and reduce time to resolution.
“Imagine being able to easily improve slow queries, identify broken links, speed up checkout/logins, or any key transactions by 2-100x without needing a PhD. With the updates announced today, we are enabling these outcomes for software teams globally” said Sentry CEO, Milin Desai. “And we are really excited to bring data residency to serve our growing European developer community, giving them more flexibility and control over where their data resides."
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
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 ...