Best Application Performance Monitoring (APM) Software for Elasticsearch

New Relic offers an enterprise-grade Application Performance Monitoring solution relied upon by millions of engineers globally. Designed for large-scale environments, our platform provides real-time insights and trend analysis to optimize software performance, ensuring resilience and exceptional user experiences. Equip your enterprise engineering team with New Relic’s comprehensive platform to foster innovation and efficiency in today’s high-demand software landscape.

You don't need to speak to the users in order to understand what they experienced (replays, behavior insights, etc.). End-2-end Transaction Insights (business, technology, etc). Poor user experience can be caused by issues with the interface design or technology. Germain UX identifies the root-cause and use cases of issues, down to user clicks and scenarios and technology (network requests, code, sql etc.). Ineffective business operations can be caused by a lack of training, poor organizational structure, and attrition. Germain UX identifies the main gaps and their root cause, in real-time, 24x7. Low conversion rates can be caused by a number of factors, including a crowded call center, a lack of expertise and difficulty finding information on a site. Germain UX can help identify actionable insights. A poor customer experience can be caused by a number of factors, including a product or service that is ineffective, lacked support, and difficult to find online material. Germain UX identifies these insights in real-time and 24x7.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

SolarWinds®, AppOptics™, is a SaaS-based infrastructure and application monitoring tool for custom-built on-premises, hybrid, and cloud systems. AppOptics reduces MTTR by allowing quick identification of performance issues across the stack, from the application to the underlying infrastructure down to the line code. AppOptics was designed to be easy to use and set up by IT professionals. It has powerful features that quickly and automatically identify performance issues, eliminating the guesswork and reducing the time spent on troubleshooting. AppOptics allows you to align infrastructure and performance objectives with business objectives.

FusionReactor can quickly identify bottlenecks in your Java or ColdFusion app, as well as in your server and database. This will make your Java or ColdFusion applications run more efficiently and faster. The integrated production safe Debugger allows you to quickly identify bugs and reduce technical debt, allowing you to spend more time writing better code. FusionReactor continuously monitors your app and database. If an error occurs, an automatic root cause analysis will trigger. You will immediately be notified of the location. You don't have to look for the needle anymore. You can immediately fix the problem. Free trial available see https://www.fusion-reactor.com/start-free-trial/ You'll find all the APM features that you want, plus some new features that you didn’t know existed. FusionReactor is a revolutionary APM tool that will allow you to keep production systems online for longer and produce better results.

SquaredUp is a unified observability portal. Say goodbye to blind spots and data silos. Using data mesh and cutting-edge data visualization, SquaredUp gives IT and engineering teams one place to see everything that matters. Bring together data from across your tech stack without the headache of moving the data. Unlike other monitoring and observability tools that rely on a data warehouse, SquaredUp leaves your data where it is, plugging directly into each data source to index and stitch the data together using a data mesh. Teams have one place to go where they can search, visualize, and analyze data across all their tools. Take control of infrastructure, application, and product performance with unified visibility. Learn more at squaredup.com What you get: > Cutting-edge data visualization > Access to 100+ data sources > Any custom data source via Web API > Multi-cloud observability > Cost monitoring > Unlimited dashboards > Unlimited monitors Key features: > Out-of-box dashboards > Simple, flexible dashboard designer > Real-time monitoring > High-level roll-up views > Object drill downs > Notifications (Slack, Teams, email, etc.) > SQL analytics

You can quickly set up and monitor many checks, including website, socket, database, messaging queues, application server, custom checks, and website. Easy setup of alerts (SMS and Email). Unique noise reduction technology drastically reduces unnecessary alerts by consolidating related incidents and muting systems that have known issues. False positives are also minimized. You can see the status of your Apps and Business Services and get real-time visibility. It clearly displays any open incidents or issues that need your attention. Monitor multiple apps and IT systems, including databases, web servers, App server, App servers and messaging queues, together as one App. Happy Apps provides an overview of the App's status and each member's status. You can also view dependency maps between different IT systems and how they impact other Apps.

It is used to gather timing data required to troubleshoot latency issues in service architectures. This data can be collected and searched. You can jump to a trace ID if you have it in a log. You can also query by attributes like service, operation name and tags. You will receive a summary of some interesting data, such as how much time you spent on a particular service and whether or not the operation failed. Zipkin UI displays a dependency graph that shows how many traced requests passed through each application. This can be used to identify aggregate behavior, such as error paths or calls made to deprecated service.