
LogRocket announced the launch of LogRocket Metrics, the next step toward a complete front-end APM platform.
LogRocket introduces LogRocket Metrics as an APM solution built specifically to understand the complex issues that arise in web applications. It ties together session replay and APM in an easy-to-use dashboarding solution that anyone can use, regardless of technical ability.
LogRocket Metrics enables teams to understand how performance is affected by factors including: network requests, JavaScript execution, local resource access, CPU load, and memory usage whether it comes from the back end, CDN layer, internet connectivity, JavaScript performance, client devices, or elsewhere.
When it comes to understanding the impact, traditional APM tools require IT or product teams to write code to define a user transaction and measure performance. Even after the transaction is defined, companies still have to wait days or weeks to gather enough data to have statistical significance. With LogRocket Metrics, teams can easily define any user transaction in the UI and instantly see retroactive data. This allows them to understand how an issue affects customers so that it can be prioritized and addressed accordingly. Rapid resolution can result in increased sales due to a superior user experience versus losing customers who grow frustrated waiting for a page to load or transaction to be completed.
“More and more we’re seeing that every company is now a software company, relying on software for their core business. We are on a mission to help those companies make their web experiences as perfect as possible,” said LogRocket CEO, Matthew Arbesfeld. “By addressing performance on the front-end, we make it far easier for companies to identify and fix issues before they impact potential customers and cost companies sales.”
LogRocket also announced that it has raised $15 million in Series B funding. The round, like its recent Series A, was led by global investment firm Battery Ventures, with participation from seed investor Matrix Partners. Funds will be used to continue growing headcount, anticipated to more than double in the coming year, as LogRocket scales to meet demand. The company will also invest in continuing to expand the functionality of its first-of-its-kind solution, which offers companies unparalleled insight into user experience problems in their web applications.
“Monitoring front-end and back-end applications are very different processes, and must be seen as such. The LogRocket team understands this and is taking a fundamentally different approach,” said Neeraj Agrawal, General Partner at Battery Ventures. “LogRocket effectively addresses a problem developers have tried to solve for a very long time. Its technology makes APM totally painless in today’s environments. The team also has bold future plans to help companies stay ahead, and we are excited to work with them to execute.”
The Latest
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 ...
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 ...