Top Application Performance Monitoring Startups in 2024

LogRocket was founded in 2016 by Matthew Arbesfeld and Ben Edelstein, a computer science duo who have been building products together since the 3rd grade. Frustrated by how difficult it was to understand their customers' experiences, Arbesfeld and Edelstein set out towards an audacious goal: make every experience on the web as perfect as possible. By recording videos of user sessions along with logs and network data, LogRocket intelligently highlights UX issues and surfaces the root cause of every bug. Backed by top investors like Matrix Partners and Battery Ventures, we're on a mission to improve society's experience with software.

Datadog is a monitoring and analytics platform for large-scale application infrastructure and applications. Combining metrics, traces, and logs from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire stack. Datadog includes 350+ vendor-supported, pre-built integrations, and monitors hundreds of thousands of hosts. datadog.com

The world is getting increasingly connected. Use cases that are going digital is exploding as more devices get connected and network technology evolves to provide ever greater bandwidth As the business and technology complexity of providing the necessary connectivity infrastructure rises, it becomes even harder to “guarantee” a certain quality of experience to customers At Mozark, we are passionate about ensuring the right QoE is delivered to customers. Our products 5GMark (Network QoE), Aquamark (App QoE) and IndoorMark (Indoor QoE) are designed for this very purpose We work with application publishers, telecom service providers, building owners / neutral hosts (e.g. enterprises, real estate), and VNOs (virtual network operators) to enhance the QoE delivered to customers

The Dandelion platform has multiple audiences: customers, installers, and business users (internal and external). Some examples of functionality include: commissioning and performance verification at the job site, ongoing performance monitoring and control, customer facing applications, and long term operation and maintenance.

Real-time Incident & Anomaly Detection, Correlation and Predictive Analytics for ITOps & DevOps. detech.ai provides a unified modern AIOps platform that turns your data into actionable insights to help you detect & resolve issues proactively. When your online services hiccup, customers go elsewhere. And if your experts are constantly reacting to incidents after they happen, your innovation and agility will plummet. In order to remain competitive and grow, you need seamless operations. Organisations generate amounts of data that humans simply cannot monitor effectively, therefore AIOps is critical to reduce and manage IT incidents. Our platform autonomously learns the normal behaviour of your applications, accurately detecting anomalies and alerting the right people to address only the problems that need addressing. This will allow you to resolve issues before they impact the business, while freeing people to focus on innovating.