Best Application Performance Monitoring (APM) Software for Apache Kafka

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.

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.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

TrapStation logs and forwards SNMP SNMP traps, often to distributed management systems. You can route traps selectively, translate any SNMP version and filter, correlate, apply thresholds and modify varbinds. You can then view graphs, search logs and replay traps. TrapStation is a modern design that draws on decades of event-handling expertise. TrapStation was created to replace legacy apps like TrapEXPLODER and TrapBlaster. You can use TrapStation to access SNMP v3 encryption/security and trap modification, log search/replay and a browser interface. We hope TrapStation is a compelling alternative for unsupported scripts or in-house developers. TrapStation maps incomingtraps to your rule trees nodes. Each node has a filter that tests traps and allows you to log and forward match traps. The complexity of individual rule nodes is reduced by the formation of nested tiers, which are more specific. Nesting ensures that a partially matched trap is placed in a fail-safe rule Node.

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.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

App health is a reflection on the entire application environment, from physical infrastructure through middleware to the end user experience. Integrate health metrics across technologies. Monitor stress to detect potential problems early. Correlate performance & application health. Collaborate with other teams. To monitor your middleware platforms, you can still use the product management console. It doesn't need to be complicated. All your middleware technologies are consolidated in one interface. You can collect data without overhead. Performance can be correlated with hosts, networks and databases. Start small. Expand as you need. Our packaged solutions allow you to monitor your applications and the technologies that they run on in real time. This high-performance IDE allows you to create your own custom monitoring system.

The only real-time, analytics driven multicloud monitoring solution (formerly SignalFx). Monitor any environment using a highly scalable streaming architecture. Open, flexible data collection and quick visualizations of services in seconds. This purpose is for dynamic and ephemeral cloud-native environments of any size (e.g. Kubernetes containers, serverless, container). Identify, visualize, and resolve issues immediately. Predictive streaming analytics allows you to monitor infrastructure performance at cloud scale in real-time. More than 200 pre-built cloud integrations and out-of the-box dashboards allow for quick visualization of your entire stack. Autodiscover, break down, group, and explore cloud, services, and systems. You can quickly and easily see how your infrastructure behaves in relation to different availability zones, Kubernetes Clusters, and other services.

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.