23 Best Application Monitoring Tools of 2025

Dotcom Monitor provides application monitoring tools designed to help ensure websites, web applications, and APIs run smoothly. By simulating real-user interactions, it helps detect issues before they impact performance or user experience.

Why I Picked Dotcom Monitor: I picked Dotcom Monitor because of its focus on real-browser simulations, which offer a more accurate view of how applications perform in real-world conditions. This is especially valuable for monitoring critical workflows like logins, checkouts, and form submissions. It also stands out for its multi-step transaction monitoring, allowing teams to track complex user journeys with precision. Additionally, Dotcom Monitor provides global monitoring coverage and supports proactive alerts, making it easier to catch and fix issues before they escalate into downtime or poor user experience.

Dotcom Monitor Standout Features & Integrations:

Features include application monitoring features such as user interaction tracking, performance reporting, and global monitoring across 40+ browsers and devices. The EveryStep Web Recorder allows you to simulate and script user behaviors, while the UserView platform provides clear insights into multi-step user flows.

Integrations include Microsoft Azure, Slack, Microsoft Teams, Dynatrace, PagerDuty, Splunk, ServiceNow, Salesforce, Trello, Google Sheets, Zapier, and Jenkins.

ManageEngine Applications Manager is a robust application performance monitoring tool designed for IT teams and administrators.

Why I picked ManageEngine Applications Manager: I like its ability to provide code-level insights into your applications. This feature helps you identify problematic elements in your application code, allowing you to address issues before they affect your users. Additionally, it offers thread profiling, which can reveal bottlenecks in your code stack, enabling you to optimize performance effectively.

ManageEngine Applications Manager standout features and integrations:

Features include real user monitoring, which provides real-time insights into user experience by tracking page load times and session details. This helps you identify and resolve user experience issues proactively. Additionally, its hybrid cloud monitoring collects and analyzes data from both on-premises and cloud-based infrastructure, giving you a comprehensive view of your IT environment.

The application dependency mapping feature visualizes the relationships between your application components, helping you understand how services, APIs, and databases interact, which is essential for effective troubleshooting.

Integrations include ManageEngine ServiceDesk Plus, ServiceNow, Site24x7, AlarmsOne, Slack, Prometheus, AWS, Google Cloud, Microsoft Azure, Oracle, and MySQL.

Site24x7 provides monitoring tools for use on applications, websites, networks, servers, public and private clouds, and synthetic web transactions.

Why I picked Site24x7: Among the list of Site24x7’s customers are some recognizable names in education, like Stanford and Oxford, and the product makes a good case for why. For starters, it complies with many of the standards imposed on educational institutions, including SOC 2 and ISO 27001, so you’re comfortable handling student and staff data.

Site24x7 standout features and integrations:

Features that make Site24x7 ideal for educational institutions include the fact that it’s elastic and can automatically scale resource provision up or down based on usage, something that fluctuates throughout the day on a campus.

I also liked that it provides integrations for several popular avenues used for service requests and communication, including Discord, Microsoft Teams, Slack, ServiceNow, Freshdesk, and Telegram. I liked how easily this lets you collect feedback directly from students and faculty.

Integrations are pre-built for Jenkins, Bitbucket, GitHub, Freshdesk, Jira, Slack, Teams, Amazon EventBridge, ServiceNow, and Discord.

Dynatrace is a unified observability platform whose solutions include modules for application observability and security, digital experience, infrastructure observability, automation, and business insights.

Why I picked Dynatrace: I picked Dynatrace because of Grail, a central observability and analytics tool. It collects causal data on a massive scale and delivers AI-powered insights with full context to help you make business decisions, which I felt would be especially useful for fintech companies. I also liked the ability to set custom parameters that flag unusual behavior.

Dynatrace standout features and integrations:

Features that make Dynatrace ideal for financial apps, in my opinion, include its support for BizDevOps with built-in BI tools that allow you to involve business teams in the development process.

I also liked that it allows you to set up targeted notifications so you can make sure the most qualified personnel are alerted whenever there’s an issue. For example, an indication of possible fraud could go to someone on the finance team, rather than the development team.

Integrations are pre-built for Jenkins, GitLab, JFrog, Microsoft Teams, Mulesoft, LaunchDarkly, ServiceNow, Jira, Prometheus, and Grafana.

New Relic is an observability platform that provides engineers and data scientists with data from a variety of sources, including web and mobile apps, infrastructure, and networks.

Why I picked New Relic: New Relic made it onto my list because of Errors Inbox, a full-stack error management feature. In my tests, I used it to group similar errors depending on importance, so I wasn’t getting the same notifications for both severe and negligible issues. I was also able to set it up so particular notifications go directly to the relevant team in Slack.

New Relic standout features and integrations:

Features that make New Relic the ideal APM for error tracking include the ability to set up a workload in a pre-production environment and have it flag issues before they get to production, then send notifications to Slack immediately.

I also found that it keeps error data even after they’ve been resolved, so you can go through things like contextual information, attachments, and comments after the fact if you need to know how something got addressed and who was involved.

Integrations are pre-built for VMware vSphere, Relic, Kafka, HAProxy, JFrog, Apache Cassandra, Amazon ECS, Netlify, Oracle Database, and NGINX.

Datadog is a monitoring and security platform for applications and infrastructure, with features such as logs and software delivery.

Why I picked Datadog: I picked Datadog because it’s an all-in-one monitoring solution that creates a single pane of glass to visualize not only your app, but also your associated networks, databases, infrastructure, and containers. I also liked how the collaboration features helped me bridge the gap between developers and business teams.

Datadog standout features and integrations:

Features that make Datadog ideal as a unified monitoring platform for applications and network environments, in my opinion, include the logging functions that provide audit trails, observability pipelines, and scanners for sensitive data.

It also allows you to manage the digital experience with in-depth functions that cover session recording and replay, error tracking, and real user and synthetic monitoring.

Integrations are pre-built for Argo CD, CircleCI, Travis CI, Azure DevOps, GitHub, Jira, GitLab, Auth0, Kubernetes, and Docker.

Logrocket is a monitoring platform whose main focus is on session replay for improving performance on web and mobile platforms.

Why I picked Logrocket: I believe online commerce platforms can get a lot out of Logrocket’s systems for managing user-reported issues. When a user brings something to your attention, you can initiate a live co-browsing session to walk them through a solution if it’s something they’re struggling to do on their own.

Logrocket standout features and integrations:

Features that made me recommend Logrocket for e-commerce apps include the front-end monitoring capabilities at the aggregate or session levels that let you keep an eye on vitals such as layout shifts, contentful paint, and input delays.

You can also pull time series and tables from conversion rates to create charts that allow you to analyze various metrics. You can also extend this by comparing two or more custom metrics.

Integrations are pre-built for GitHub, Google Analytics, Dynatrace, Adobe Analytics, Salesforce, Jira, New Relic, Trello, PagerDuty, and Datadog.

eG Innovations provides a unified infrastructure and application monitoring platform for on-premise and cloud-hosted deployments.

Why I picked eG Innovations: I chose eG Innovations for eG Enterprise, a monitoring tool that provides several features for monitoring applications built using Node.js. Out of the box, it supports the Node.js V8 Javascript Engine with automatic alerts for resource usage.

eG Innovations standout features and integrations:

Features that make eG Innovations’ Enterprise ideal for monitoring Node.js applications include the ability to evaluate transaction details in user sessions and URLs to measure code performance.

It also provides native support for some of the most common technologies I’ve paired with Node.js throughout my career, including MongoDB, Mongoose, MySQL, and Docker.

Integrations are pre-built for PagerDuty, Zendesk, ConnectWise, Slack, Salesforce, Jira, ServiceNow, SNOW ITOM, OpsGenie, and BMC RemedyForce.

Google Cloud Operations, formerly called Stackdriver, is a suite of tools that provides functions for monitoring, scaling, logging, and troubleshooting.

Why I picked Google Cloud Operations: Google Cloud Operations takes advantage of Google Cloud-specific features to help you get more out of it. For example, I used Cloud Logging to specify and extract massive amounts of data from some GKE clusters I had running.

Google Cloud Operations standout features and integrations:

Features that made me recommend Operations for applications on Google Cloud include Cloud Monitoring, which increases observability by reporting statistics tied to uptime and performance so you have a better idea of their health.

With Cloud Audit Logs, I was able to get insights on user activity that was very close to real-time. Aside from the benefits as far as informing business decisions, this helps boost visibility and maintain compliance.

Integrations are native for Google Kubernetes Engine and BigQuery, as well as pre-built for New Relic, Dynatrace, Datadog, Grafana, Splunk, Prometheus, PagerDuty, and Slack.

Honeycomb is an event management platform for distributed services that seeks to provide insight from one hub.

Why I picked Honeycomb: If the application you’re looking to monitor is actually a game, then I think Honeycomb might be the right solution for your team. I tested its distributed tracing functions as implemented alongside a feature called BubbleUp; BubbleUp analyzes requests from different teams for common trends to give you a more holistic picture of how users interact with the product. In a game development scenario, the data could be about players and collected from teams such as development, audio, and design.

Honeycomb standout features and integrations:

Features that make Honeycomb ideal for game development companies, in my opinion, include Service Map, which creates a visual representation of all linked services in your application; this is a valuable tool for monitoring games designed as microservices, considering you can also use it to conduct visual debugging.

OpenTelemetry allows you to instrument your code for Honeycomb so you can generate your own telemetry data. You only need to set it up once, and you can use the data on any back-end service you want, so you don’t worry about being locked into a vendor.

Integrations are pre-built for GitHub, LaunchDarkly, CircleCI, Terraform, Consul, AWS Lambda, Slack, PagerDuty, Chef, and GitLab.