Best Application Performance Monitoring (APM) Software with a Free Trial of 2025 - Page 4

Managed services for integrated monitoring, logging, and tracing are available for applications and systems operating on Google Cloud and other platforms. Cloud Logging serves as a fully managed, scalable solution that can import log data from various applications and platforms, including custom logs from GKE environments, virtual machines, and additional services, facilitating seamless data transfer to and from Google Cloud. With Log Statistics, users can gain insights into performance, troubleshooting, security, and business metrics through the integration of BigQuery into Cloud Logging, enhancing data analysis capabilities. Additionally, Cloud Monitoring offers a comprehensive view of the performance, uptime, and overall health of applications hosted in the cloud. It gathers metrics, events, and metadata from Google Cloud services, conducts uptime monitoring, and captures application instrumentation, thus providing a holistic overview of system performance. This comprehensive approach ensures that businesses can maintain optimal operations in their cloud environments.

Gain comprehensive insight into your cloud-native and distributed applications, encompassing everything from microservices to serverless setups, allowing for swift identification and resolution of underlying issues. Effortlessly integrate Application Performance Management (APM) to automatically detect anomalies, visualize service dependencies, and streamline the investigation of outliers and unusual behaviors. Enhance your application code with robust support for widely-used programming languages, OpenTelemetry, and distributed tracing methodologies. Recognize performance bottlenecks through automated, curated visual representations of all dependencies, which include cloud services, messaging systems, data storage, and third-party services along with their performance metrics. Investigate anomalies in detail, diving into transaction specifics and various metrics for a more profound analysis of your application’s performance. By employing these strategies, you can ensure that your services run optimally and deliver a superior user experience.

dotTrace serves as a robust performance profiler specifically designed for .NET applications, seamlessly integrating within Visual Studio and JetBrains Rider to effectively identify and analyze performance bottlenecks. This tool is versatile, supporting a range of .NET applications such as desktop software, .NET Core, ASP.NET hosted on both IIS and IIS Express, as well as Mono, Unity applications, WCF services, Windows services, Universal Windows Platform applications, and unit tests. In contrast to traditional performance profiling, which primarily focuses on measuring the execution time of method calls, timeline profiling offers insights into the temporal distribution of calls. This feature is particularly valuable for diagnosing performance challenges where the sequence of events is critical, including issues like UI lags, excessive garbage collection, uneven workload distribution, and inefficient file input/output operations. With dotTrace, users can manipulate and analyze profiling data through various tools such as filters, call trees, and visual diagrams, enhancing their ability to pinpoint and resolve performance issues effectively. Moreover, the intuitive interface allows developers to quickly adapt their strategies based on real-time insights, ensuring that applications run smoothly and efficiently.

dotMemory serves as a memory profiler for .NET that can be integrated directly into Visual Studio, utilized as an add-on in JetBrains Rider, or operated as an independent application. It enables users to analyze applications compatible with various versions of the .NET Framework, .NET Core, ASP.NET web applications, IIS, IIS Express, Windows services, Universal Windows Platform apps, and more. For macOS and Linux users, dotMemory is available exclusively as a part of JetBrains Rider or as a command-line tool. Furthermore, it allows for the importation of raw memory dumps from Windows, which can be sourced through task manager or process explorer and examined like standard memory snapshots. This capability allows users to leverage advanced features, including automatic inspections and retention diagrams, to enhance their analysis. Gaining insight into memory retention within your application is crucial for effective optimization. In this context, the hierarchy of dominators, which represents objects that solely hold other objects in memory, is visually represented using a sunburst chart, providing a clear overview of memory usage patterns. This visualization aids developers in understanding memory relationships and identifying potential areas for improvement.

Telex serves as an efficient real-time notification platform aimed at assisting users in tracking their application performance, enhancing team collaboration, and seamlessly integrating with various third-party services. Its array of features, such as webhook alerts, collaborative channels, and sophisticated monitoring capabilities, keeps users updated on system logs, events, and overall performance consistently. Key Offerings Telex provides a comprehensive collection of monitoring and notification solutions, which includes: Application Performance Monitoring (APM) – Observe app performance metrics in real-time. Server Monitoring – Monitor server health and operational uptime. Cloud Monitoring – Guarantee the smooth operation of cloud services. Database Monitoring – Identify and remedy database problems swiftly. Network Monitoring – Track network traffic and efficiency. Log Monitoring – Review system logs for improved troubleshooting. Webhook Testing – Assess and resolve issues with webhooks efficiently. Additionally, Telex empowers teams to proactively address performance concerns before they escalate, fostering a more resilient application environment.

Dash0 serves as a comprehensive observability platform rooted in OpenTelemetry, amalgamating metrics, logs, traces, and resources into a single, user-friendly interface that facilitates swift and context-aware monitoring while avoiding vendor lock-in. It consolidates metrics from Prometheus and OpenTelemetry, offering robust filtering options for high-cardinality attributes, alongside heatmap drilldowns and intricate trace visualizations to help identify errors and bottlenecks immediately. Users can take advantage of fully customizable dashboards powered by Perses, featuring code-based configuration and the ability to import from Grafana, in addition to smooth integration with pre-established alerts, checks, and PromQL queries. The platform's AI-driven tools, including Log AI for automated severity inference and pattern extraction, enhance telemetry data seamlessly, allowing users to benefit from sophisticated analytics without noticing the underlying AI processes. These artificial intelligence features facilitate log classification, grouping, inferred severity tagging, and efficient triage workflows using the SIFT framework, ultimately improving the overall monitoring experience. Additionally, Dash0 empowers teams to respond proactively to system issues, ensuring optimal performance and reliability across their applications.

SharePath stands as the premier offering from Correlsense, a prominent player in the realm of enterprise application performance management (APM). This powerful and comprehensive tool enables IT operations to implement APM across their complete application ecosystem, allowing for the detection and isolation of even the most elusive issues. Among its diverse features are enhanced SLA compliance monitoring, sophisticated session search capabilities, detailed application diagnostic reports, and transaction topology visualizations, all designed to streamline performance management. Additionally, SharePath continuously evolves, integrating user feedback to refine its functionality and meet the dynamic needs of IT teams.

Take advantage of a streamlined digital experience management solution that seamlessly integrates with Prisma SASE, which includes GlobalProtect, Prisma Access, and Prisma SD-WAN, to enhance user experiences without the hassle of installing extra software or hardware. In today's work environment, where employees may operate from the office, home, or a mix of both, IT teams must swiftly identify insights and address issues across the entire service delivery pathway to prevent any disruptions to business operations. Utilizing ADEM alongside SASE, you can easily access answers to any performance inquiries concerning any user with just a few clicks. This solution enables you to pinpoint critical incidents and identify root causes by leveraging comprehensive experience insights. With performance metrics that are correlated across all endpoints, networks, and applications, you gain complete visibility necessary for effective experience management. This holistic approach not only simplifies troubleshooting but also empowers IT teams to maintain optimal performance across diverse user scenarios.

XRebel can do things that traditional profiling tools cannot. It allows developers to track the impact of their code, even in distributed applications. XRebel, which provides real-time Java performance metrics and a lot more, is a must have tool for Java developers. XRebel allows developers to create applications that are more efficient and provide a better user experience. XRebel uses a request-based approach for performance, which is different from traditional profilers. This makes performance issues more visible and easier to resolve. You can track your request across all XRebel-enabled service, and see performance data for each. XRebel reveals only the most time-consuming methods, and hides the rest until you are really in need.

Establish metrics and implement alerts for operational tasks while identifying and prioritizing the underlying causes for development issues. Complete the feedback loop within the DevOps framework. Set up your application to transmit traces seamlessly via Plumbr Agents. Capture comprehensive traces that encompass user interactions across the various microservices on the back end. Enjoy a hassle-free experience with no code modifications or sampling required! Plumbr APM leverages tracing to deliver valuable insights into application performance. With extensive expertise in Application Performance Management (APM) technology, including Java profiling, bytecode instrumentation (BCI), database monitoring, and real user monitoring, Plumbr empowers businesses. By utilizing tools like Java Profiling and BCI, organizations gain essential visibility into traditional Java and .NET enterprise applications, ensuring they can optimize performance effectively. Additionally, leveraging these insights enables proactive measures, leading to improved user satisfaction and operational efficiency.

We continuously enhance our Cloud service with every new update, ensuring that you can instantly benefit from all the exciting features we've introduced. Simply set up and deploy the Driven Agent to witness your applications flourish in Driven Cloud. However, having multiple teams on a single platform can lead to security and performance challenges. Our capability to classify applications and securely isolate data by teams swiftly instills order amidst the complexities of managing a multi-tenant environment. In just two minutes, you can gain a comprehensive understanding of the essential features of DRIVEN, the APM tailored for Big Data applications. Discover how you can elevate the quality and reliability of the applications you create, ultimately providing superior service to your business for all your Big Data applications in operation. DRIVEN empowers organizations to effectively manage their multi-tenant Hadoop ecosystem by categorizing it by teams, application technology, cluster, and more, thereby enhancing collaboration and efficiency across the board. This structured approach not only simplifies operations but also significantly boosts productivity across teams.

Enhance your IT operations with actionable insights derived from application-focused network observability. Are you finding it challenging to manage the increasing complexities associated with contemporary network systems? As digital transformation progresses, network infrastructures necessitate monitoring solutions that mirror their dynamic, adaptable, and scalable nature. Tailored for today's networks, IBM® SevOne® Network Performance Management (IBM SevOne NPM) offers application-centric observability, empowering NetOps to identify, tackle, and avert network performance challenges within hybrid setups. By actively monitoring multi-vendor networks, you can elevate network performance and enhance user application experiences while translating insights into concrete actions across enterprise, communication, and managed service provider landscapes. In addition to merely identifying issues, SevOne NPM integrates leading industry knowledge with cutting-edge analytics, enabling your teams to focus on what truly matters: optimizing network performance and ensuring seamless connectivity. With this powerful tool, organizations can navigate the complexities of modern networking more effectively.

OverOps immediately identifies at runtime the critical issues that break backend Java or.NET applications. This eliminates the need to search logs for duplicates. OverOps analyses code at runtime, unlike logs, static testing, or APM which require foresight. OverOps does not require code changes and integrates with your existing CI/CD tools. It continues to do so from pre-prod to production.

INETCO Insight is more than just a transaction monitoring tool; it is a critical software platform for financial institutions and payment service providers focused on ensuring operational excellence, enhancing customer experience and mitigating risk in real-time. With a 360-degree view of the customer journey, you can manage the end-to-end experience, optimize decision-making and detect potential issues before they impact customers. By investing in this advanced real-time transaction monitoring platform, you are not only protecting your operations today but also positioning your organization for continued success in an increasingly fast-paced and demanding financial landscape.

Introducing a comprehensive and fully adaptable monitoring solution suitable for IT environments of all sizes. Whether your infrastructure is on-premise, within dynamic settings, hosted on public cloud platforms, or a combination of these, you can oversee your entire IT ecosystem. OP5 Monitor is designed to satisfy the monitoring needs of even the most intricate infrastructures. It boasts a high degree of customization, allowing you to tailor it to your specific requirements without incurring excessive complexity costs. Ready to function with a variety of devices straight away, it also provides full compatibility with Nagios plugins. Furthermore, OP5 Monitor includes sophisticated reporting capabilities, delivering business-centric insights on service level agreements (SLAs) and overall availability. Should the standard reports not fulfill your requirements, crafting your own reports is a straightforward process. To top it off, OP5 Monitor excels in scalability within distributed environments, ensuring it can effectively connect with your devices no matter where they are located. This allows for seamless integration and management across your entire IT landscape.

Meet the Galileo Suite: a better way to monitor and measure the health of your environment. It automatically visualizes your asset relationships, analyzes your device health, and displays it in a single view so you can quickly remediate issues and get on with your day. Join the smart IT teams that rely on the Galileo Suite to make smarter, faster decisions to keep their systems running optimally and their business growing. Full-Stack Monitoring and Visibility. Reimagined. From basic monitoring to immersive 3D exploration, identify and resolve your IT issues faster than ever with the Galileo Suite. Try Galileo for 🆓 FREE 🆓 today.

Precise For Databases allows database administrators to identify and fix performance issues in physical, virtual, or cloud environments. It offers deep database optimization, isolation and causes, scalable deployment and what-if analysis for possible changes.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Witbe is a pioneer in the Quality of Experience industry. It offers an award-winning method to monitor the QoE delivered by any interactive service (telephony or video, web), on any device (PC/smartphone, STB), and through any network (fixed-mobile, OTT). Witbe was founded in 2000 and has grown to be a trusted partner for more than 300 clients in over 50 countries. Witbe Robots is trusted by Broadcasters, Operators, and Content Providers. Witbe is a publicly-traded company on Euronext Growth.

Rather than simply adopting AI and machine learning as a trend, we integrated these technologies from the outset, carefully examining their application in addressing tangible challenges. AIMS utilizes machine learning to deliver profound insights into transaction flows across on-premise, cloud, and hybrid environments. By automatically creating a dynamic 360° map of the often-overlooked aspects of IT systems and data, AIMS facilitates predictive anomaly detection and provides real-time insights into critical business processes. Organizations that implement AIMS significantly reduce the time spent on manual oversight and issue resolution, allowing them to allocate resources towards fostering business innovation and gaining a competitive edge through IT advancements. Furthermore, AIMS empowers IT teams to influence business results by simplifying the communication of system insights and performance metrics to non-technical stakeholders, thereby bridging the gap between technology and business objectives. This holistic approach ultimately enhances collaboration and promotes a data-driven culture within organizations.

Empowering developers to comprehend their codebase and resolve bugs more swiftly is made possible through time travel debugging. The Ultimate Debugger (UDB) stands out as the premier time travel debugger for Linux C/C++ applications, allowing teams to tackle intricate software defects during both development and production phases at speeds up to ten times faster. The process of debugging software issues often consumes valuable time, hindering development efforts and causing disruptions for end users. Imagine having the ability to capture your program's execution at the moment it fails and then replaying that execution later (at any location and anytime) to understand precisely what occurred. LiveRecorder serves as the top-tier enterprise-level Software Failure Replay platform, enhancing the debugging process significantly. Time Travel Debugging not only boosts team productivity during development but is also exceptionally beneficial for diagnosing test failures. Developers can effortlessly navigate forward and backward in time to scrutinize the program's state, allowing them to unravel complexities and produce higher-quality software more efficiently. With Undo’s time travel debugging capabilities, developers can eliminate the frustration of deciphering their code's behavior, ultimately streamlining the development process and enhancing overall efficiency. This innovative approach transforms the debugging landscape, enabling teams to focus on creating robust and reliable software solutions.

BMC Helix Operations Management serves as a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud environments. Adopting a service-oriented perspective towards observability data is crucial for achieving effective AIOps results. It facilitates the integration of third-party observability inputs, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. This enables users to monitor service health and enhances the capacity for pinpointing root causes through automatically generated dynamic business service models. The AI-driven features improve the signal-to-noise ratio by employing event suppression, de-duplication, and correlation, all aimed at generating actionable insights. Users can quickly identify root causes with AI probability assignments to key causal nodes based on comprehensive data and service models. Additionally, the platform aids in preventing future incidents through proactive Business Service Health monitoring and AI-driven outage predictions. Troubleshooting is expedited via enriched logs and advanced analytics, while users can conveniently request and implement automations through BMC or other third-party tools, making management seamless and efficient. Ultimately, this solution empowers organizations to enhance their operational resilience and streamline management processes.

Enhance application efficiency and provide impeccable user experiences through unparalleled insights and intelligence. As today's applications become increasingly intricate and the demand for nearly perfect customer interactions rises, conventional Application Performance Management (APM) tools frequently fail to deliver the essential visibility required to address issues before they affect users. Therefore, it is crucial for APM systems to evolve by integrating AIOps functionalities, which allow for earlier detection of anomalies, behavior prediction, and the facilitation of informed automatic corrective measures. DX Application Performance Management (previously known as CA Application Performance Management or CA APM) seamlessly integrates with our AIOps offering, enabling the correlation and analysis of data across users, applications, infrastructure, and network services, thereby providing you with real-time insights into the status of critical business services. Utilizing sophisticated algorithms and machine learning strategies, DX APM can swiftly and accurately pinpoint the likely source of any issue, ensuring that problems are resolved efficiently before impacting users. This proactive approach not only enhances operational efficiency but also significantly elevates overall customer satisfaction.

Pepperdata autonomous, application-level cost optimization delivers 30-47% greater cost savings for data-intensive workloads such as Apache Spark on Amazon EMR and Amazon EKS with no application changes. Using patented algorithms, Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes. Pepperdata automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to nodes with available resources and spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied, and the need for ongoing manual tuning is safely eliminated. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.