
Progress announced the general availability of Progress® Telerik® Fiddler™ Jam, a troubleshooting solution for support and development teams to solve customer issues remotely in a fast, easy and secure manner.
The product offers new features, including an option for video recording, capturing events during a session recording and masking sensitive data, that help support and development teams to quickly gather the information they need to troubleshoot end-user issues—saving time and increasing customer satisfaction.
Support teams spend a lot of time collecting information from customers about the issues they are experiencing. Even with a well-documented story, it can still be difficult for engineers to properly replicate the issues at hand in a secure way.
Fiddler Jam provides support teams with a streamlined and secure process to solve customer issues remotely without requesting extra information and without relying on additional tooling. The product enables non-technical end users to isolate issues by capturing HTTP(S) network logs, network activity, console logs and screenshots in the customer's own environment and sharing them with support and development teams.
“Fiddler Jam is the one-stop solution for support and development teams to gather context and collaborate in solving customers’ issues—something that traditional troubleshooting approaches can’t offer,” said Loren Jarett, GM, Developer Tools, Progress. “The latest release brings new powerful features for capturing events, with built-in security features, aimed at boosting teams’ productivity and ensuring customer satisfaction.”
What’s new in Fiddler Jam:
- Record video of the end user’s browser tab while capturing a session – stored in a secure way and easily accessible at any time through the Fiddler Jam portals, the recordings help support teams and engineers look through the eyes of the customer and understand better the steps they need to reproduce the issue.
- Capture several types of events performed by the end user during a session recording – these can include Click, Double-Click, Navigated to and more. Fiddler Jam can also capture local and session storage details which provide support engineers with powerful insights relevant to analyzing the submitted log and help them to identify the issue quickly.
- Mask sensitive data – with its advanced recognition capabilities, the new Mask Sensitive Data feature differentiates between sensitive and non-sensitive information and masks only the sensitive data, while preventing the removal of non-sensitive data that is relevant to the reported bug.
Fiddler Jam complements Fiddler Everywhere, the web debugging proxy that helps organizations capture all HTTP(S) traffic between a computer and the internet from any browser and on any device. Fiddler Everywhere web debugging proxy enables developers to build, debug and maintain APIs of mission-critical applications in Windows, macOS and Linux environments.
The Latest
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...