New Relic introduced New Relic Edge with Infinite Tracing.
The new offering is a fully managed, cloud-native, tail-based distributed tracing solution built to empower software engineering teams to rapidly diagnose issues and latency across complex environments. It provides engineers with the data they need, reducing the time, costs, and resources spent searching for errors and latency. New Relic Edge is delivered as a fully managed service, located in the same cloud provider and region as customers’ cloud-based workloads, and eliminates the burden of deploying, managing, and scaling complex third-party software.
New Relic Edge was designed to simplify observability infrastructure management so engineering teams can reduce toil and reprioritize their time and resources towards product innovation and serving their customers.
New Relic Edge is located in the same cloud provider and region as customers’ workloads, eliminating the need for teams to deploy and manage additional on-premises software. New Relic Edge with Infinite Tracing observes all of a workload’s trace data, and then forwards the most relevant data to New Relic for easy visualization in order for teams to find errors faster. This enables teams to diagnose latency and issues faster and resolve incidents before these issues impact their customers.
“New Relic Edge with Infinite Tracing was designed not only for customers to see all of their trace data, but also to make the lives of engineers much easier. Software teams need to remain focused on their main business priority, keeping digital services available to their customers -- not the hassle of scaling the infrastructure to host their trace data. New Relic Edge with Infinite Tracing builds on New Relic’s long history of removing toil for our customers,” said Andrew Tunall, Senior Director of Product Management at New Relic.
New Relic Edge with Infinite Tracing complements New Relic’s existing head-based distributed tracing solution, offering customers the ability to choose the best model for their unique workloads and environments. It is available today for customers hosted in AWS US-East-1 (N. Virginia) and will be available in more regions soon.
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
