Alternatives to dotTrace

Cloud Trace serves as a comprehensive distributed tracing system that gathers latency metrics from applications and presents this data within the Google Cloud Console. This tool enables users to monitor the flow of requests throughout their applications while providing near real-time insights into performance. It automatically evaluates all traces from the application to produce detailed latency reports, helping to identify any performance issues. Additionally, Cloud Trace is capable of capturing traces from various environments, including VMs, containers, and App Engine projects. With Cloud Trace, users can delve into specific latency details for individual requests or review the cumulative latency across the entire application. The platform offers a range of tools and filters to facilitate the swift detection of bottlenecks and their underlying causes. This system is built upon the same principles that Google employs to ensure its services operate seamlessly at a massive scale, reflecting a robust and reliable solution for performance monitoring. As such, it becomes an essential resource for developers aiming to optimize their applications effectively.

Scout Monitoring is Application Performance Monitoring that shows you what charts cannot. Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers even see them. Scout APM's real-time alerting system, developer-centric interface, and tracing logic, which ties bottlenecks to source code directly, helps you spend less time on debugging, and more time creating great products. With an agent that instrument the dependencies needed at a fraction the overhead, you can quickly identify, prioritize and resolve performance issues - memory bloats, N+1 queries and slow database queries. Scout APM monitors Ruby, PHP and Python applications.

Performance diagnostics for applications, systems, and the JVM are provided for both development and operations teams, backed by the expertise of performance specialists. These comprehensive reports enable teams to pinpoint the underlying causes of performance problems effectively. CPU profiling is utilized to discover inefficient code segments, while wallclock profiling helps to uncover issues related to Garbage Collection pauses or memory consumption. Additionally, allocation profiling identifies methods that demonstrate excessive memory allocation practices. JVM diagnostics focus on recognizing Garbage Collection-related challenges, such as long pause durations and frequent collection cycles. Pre-configured health checks and dashboards are available to draw attention to prevalent JVM performance issues concerning Garbage Collection and resource usage. These health checks can be customized to notify your teams, allowing them to resolve potential problems before they escalate. Furthermore, user-friendly, browser-based real-time dashboards can be easily shared among team members, fostering collaboration and timely responses to performance concerns. Overall, this approach not only streamlines diagnostics but also enhances the proactive management of system performance.

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.

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.

JetBrains Rider is a robust and efficient cross-platform IDE for .NET development, allowing users to create applications for .NET, ASP.NET, .NET Core, Xamarin, and Unity across Windows, Mac, and Linux operating systems. Built on the IntelliJ platform and enhanced by ReSharper, Rider offers compatibility with .NET Framework, cross-platform .NET Core, and Mono projects. This versatility enables developers to build a diverse array of applications, from desktop software and web services to Unity games and mobile apps. Rider boasts over 2200 live code inspections along with numerous context actions and refactorings, seamlessly integrating ReSharper's capabilities with the comprehensive features of the IntelliJ platform. With its extensive functionality, Rider maintains a focus on speed and responsiveness, ensuring a smooth development experience. Additionally, it supports running and debugging across various runtimes while being fully operational on multiple operating systems. Moreover, Rider incorporates more than 60 refactorings from ReSharper and offers a wide selection of over 450 context actions, enhancing productivity further.

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.

Tracing Analysis offers a comprehensive set of tools designed to assist developers in pinpointing performance issues within distributed applications. This capability enhances the efficiency of both development and troubleshooting processes for applications utilizing microservices architecture. The tools available facilitate the mapping of traces, provide insights into trace topologies, analyze dependencies among applications, and quantify request volumes. To access Tracing Analysis, activating the Log Service is necessary; however, there are no charges for the resources used by the Log Service specifically for Tracing Analysis. This streamlines the troubleshooting process for distributed applications, eliminating the need to log into each individual machine to gather logs. Additionally, it enables the integration of open-source SDKs to define tracking points, including those compatible with Zipkin, Jaeger, and OpenTracing. Furthermore, Tracing Analysis employs a pay-as-you-go billing model, ensuring that costs are only incurred as services are utilized. Ultimately, these tools empower developers to enhance application performance effectively.

When performance bottlenecks slow down your CICS applications, every second counts. Rocket® C\Prof™ empowers mainframe performance engineers and IT teams with deep visibility into CICS transaction behavior. We help you monitor, diagnose, and optimize application performance across regions without requiring CICS changes or heavy system overhead. This powerful CICS performance monitoring and transaction profiling tool transforms complex internal trace data into an intuitive, searchable format. You can easily drill into specific trace events, filter millions of records, and analyze program flows to uncover the root causes of inefficiencies. Key benefits for your IT team: - Gain deep visibility to identify, investigate, and resolve performance bottlenecks quickly. - Isolate problematic calls and review detailed performance profiles across multiple CICS regions. - Reduce the impact of outages with faster, more accurate diagnosis. Partner with us to optimize your mainframe applications and keep your mission-critical systems running smoothly.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Tideways streamlines your app's backend performance by eliminating uncertainty, allowing you to save valuable time. With comprehensive insights, you can identify performance issues and receive immediate notifications for errors. This lets you focus on deploying new features rather than getting bogged down by slowdowns. By viewing your application through the eyes of your customers, your team can easily locate malfunctioning code, recognize instances of sluggish load times, and be alerted when errors occur or pages crash—all within a single platform. Additionally, you can pinpoint opportunities for enhancing your app's user experience through in-depth performance analytics. Track shifts in performance trends over time and receive notifications whenever something goes awry. Moreover, you can achieve complete visibility into your code, uncovering any slowdowns through traces captured every minute, or you can initiate traces for any specific request that requires further investigation. This comprehensive approach ensures that your application runs optimally, creating a seamless experience for users.

Blackfire.io allows PHP developers to measure and improve the performance of their apps in development, testing and production. It allows you to drill down to the function/method call level to identify and fix performance bottlenecks. It's easy to add it to your development and testing workflows thanks to its wide range of automation options. The Blackfire Player is an Open Source Web Crawler, Web Tester and Web Scraper that allows teams to set up a fully automated testing process.

Skylight serves as an intelligent profiler specifically designed for Ruby and Rails applications, transforming performance metrics into practical insights that enable you to allocate less time to troubleshooting and more time to enhancements. It categorizes endpoints based on "agony," which is a unique combination of slowness and frequency of use, allowing you to identify which areas will yield the greatest returns on your optimization efforts. By examining our endpoint graphs, you can accurately locate where the slowdowns are happening, with the widest bars in these sequences indicating the events that require your attention most urgently. After making improvements to your code, you can easily redeploy your application, with deploys represented on the overview graph to give you a clear visual comparison of your changes. Additionally, you can analyze a histogram of response times to uncover infrequent slowdowns that may affect your overall averages. The tool also allows you to aggregate event sequences based on time or memory allocations, helping you to identify where bottlenecks may be occurring. This way, you can effectively pinpoint your slowest responses and refine your focus on the disparities between your fastest and slowest responses, ultimately leading to a better-performing application. By continuously monitoring and optimizing your application, you can ensure a smoother user experience and enhanced performance over time.

OCI Application Performance Monitoring (APM) offers comprehensive insights into application performance, allowing DevOps teams to swiftly identify and resolve issues to maintain a reliable service. Businesses rely heavily on their applications to facilitate essential operations and must take proactive measures to guarantee that their online clientele can access information and conduct transactions efficiently. With the implementation of APM, organizations have successfully minimized performance-related issues by 90%, achieving this with reduced effort and expense. APM serves as a powerful distributed tracing system that operates as a service, enabling DevOps personnel to monitor every single transaction step—eliminating any need for sampling or aggregation—across both new and existing applications hosted on OCI, on-premises, or in various public cloud environments. This service effectively supports both microservices-oriented applications and traditional multi-tier legacy systems, ensuring a wide range of applications can benefit from enhanced performance insights. By adopting APM, organizations can significantly improve their operational efficiency and customer satisfaction.

Effortless debugging for microservices allows for immediate identification of the code responsible for service failures, even in cases of elusive errors. Gain insights into each request, outlier, and issue without the need for extra logging or error reproduction efforts. Discover the fundamental causes of every error with comprehensive context derived from logs, metrics, traces, and instances of failed code execution. Benefit from seamless end-to-end tracing supported by automatic instrumentation, enabling a detailed view of logs, metrics, traces, and the history of code execution failures. Experience thorough performance monitoring that aids in swiftly pinpointing and eliminating application bottlenecks. Enjoy real-time topology discovery that provides complete visibility of dependencies across all services involved. Utilize highly adaptable dashboards and notification systems to detect issues before they reach end users. Furthermore, ensure that all failed tests and errors are documented automatically, making it easier to address each failure effectively and facilitating a rapid feedback loop between testing and development teams throughout the entire development process. This approach not only enhances collaboration but also significantly improves overall software quality.

Seamlessly integrates with applications without requiring any code alterations while gathering performance metrics in a non-intrusive manner. It ensures high throughput to maintain an exceptional user experience. Utilizing AI-driven threshold detection and machine learning with historical data, it effectively identifies root causes of issues. Additionally, it offers O&M data query APIs and collection standards, facilitating independent development efforts. Features such as application auto-discovery, transaction analysis, and Apdex metrics are employed to uncover issues and enhance user satisfaction. It supports popular Java frameworks, web containers, communication protocols, and databases, allowing straightforward access to applications without code modifications. Full-stack tracing monitors messages from web browsers all the way to servers and databases, providing detailed code-level operational maintenance. APM delivers not only application performance tracking but also comprehensive topology views, enabling real-time application monitoring and swift fault diagnosis. Ultimately, this creates a robust environment for optimizing application performance and user engagement.

Enhanced high-definition APM visibility through real user monitoring, synthetic monitoring, and OpenTelemetry offers a solution that is scalable, user-friendly, and simplifies the integration of insights from end users, applications, networks, and the cloud-native space. The rise of microservices within containerized environments on dynamic cloud infrastructures has resulted in a highly transient and distributed landscape at an unprecedented scale. Traditional methods of enhancing APM, which rely on sampled transactions, partial traces, and aggregate metrics, have become ineffective, as legacy APM solutions struggle to identify the reasons behind slow or stalling critical business applications. The Riverbed platform provides cohesive visibility across the contemporary application landscape, ensuring ease of deployment and management, while facilitating quicker resolution of even the most challenging performance issues. Riverbed APM is thoroughly designed for the cloud-native environment, offering extensive monitoring and observability for transactions that operate on the latest cloud and application infrastructures, ultimately enhancing operational efficiency and user experience. This comprehensive approach not only addresses current performance challenges but also positions organizations to adapt to future technological advancements seamlessly.

The intricate nature of modern application environments presents significant challenges in monitoring, managing, and troubleshooting. With the help of Arcturus IntelliTrace and IntelliSense technologies, Applicare optimizes applications, tracks transactions, and identifies issues autonomously. Gain insight into every business transaction and every application, no matter where they are located. The distributed and multifaceted nature of today's application landscapes complicates performance oversight, raising the question of how to ensure every component is functioning at its peak. To successfully monitor an application's performance, it is crucial to analyze all elements of the environment thoroughly. However, undertaking comprehensive monitoring at this scale can rapidly overwhelm application performance. Fortunately, Applicare is here to help. Our innovative IntelliTune, IntelliTrace, and IntelliSense technologies enable Applicare to automatically refine applications, continuously monitor for complete visibility across the stack, and detect problems without manual intervention. This ensures that you can maintain optimal performance levels across all aspects of your application ecosystem.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.

It aids in collecting timing information essential for diagnosing latency issues within service architectures. Its functionalities encompass both the gathering and retrieval of this data. When you have a trace ID from a log, you can easily navigate directly to it. If you don't have a trace ID, queries can be made using various parameters such as service names, operation titles, tags, and duration. Additionally, notable data is summarized, including the proportion of time spent on each service and the success or failure of operations. The Zipkin user interface also features a dependency diagram that illustrates the volume of traced requests processed by each application. This visualization can be instrumental in recognizing overall patterns, including error trajectories and interactions with outdated services. Overall, this tool not only simplifies the troubleshooting process but also enhances the understanding of service interactions within complex architectures.

NamLabs Technologies is a software business formed in 2014 in India that publishes a software suite called Atatus. Atatus is a SaaS Software & a unified monitoring solution that includes providing a demo. Atatus is Application Performance Management software, including features such as full transaction diagnostics, performance control, Root-Cause diagnosis, server performance, and trace individual transactions. Our other products include Real-User Monitoring, Synthetic Monitoring, Infrastructure Monitoring, and API Analytics. Guaranteed 24*7 Customer Support.

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.

Powerful features to monitor, debugging, and optimize performance. Lumigo automates distributed tracing and visualizes every transaction. This allows you to see the flow of transactions and identify correlate issues between services. You can easily see the input/output for each service, including third-party services. View the stack trace line by line to see parameters and values. You can see the payload for http and API calls. All this without any code changes Lumigo's Correlation Engine allows you to see only the relevant logs, debugging information and details related to transactions. All transaction metrics, logs, and trace information can be viewed in one place. Start with a lead, and zoom in on the information you are looking for. You can search the data, and not just logs. Integration to your AWS account in one click. Fully-automated distributed traceing with no code changes. Lumigo uses AWS Lambda Layers to facilitate seamless integration.

Observability platforms that utilize distributed tracing, like Jaeger, play a crucial role in the functioning of contemporary software applications designed with a microservices architecture. By tracking the movement of requests and data through a distributed system, Jaeger provides visibility into how these requests interact with various services, which can often lead to delays or errors. This platform adeptly links these different elements, enabling users to pinpoint performance issues, diagnose errors, and enhance the overall reliability of applications. Furthermore, Jaeger stands out as a fully open source solution that is designed to be cloud-native and capable of scaling indefinitely. Its ability to provide deep insights into complex systems makes it an invaluable tool for developers aiming to optimize application performance.

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.

MIVU’s network monitoring services deliver instantaneous statistical insights into performance challenges, ensuring the seamless and dependable operation of your network. By providing a thorough understanding of bandwidth usage, traffic patterns, and device health, MIVU empowers IT teams to swiftly identify and address potential issues that could lead to major interruptions, while also supporting prompt corrective measures. This proactive approach not only enhances system dependability by resolving issues before they escalate but also optimizes resource allocation and bolsters network security. Moreover, the advanced monitoring tools offered by MIVU enable organizations to effectively manage potential performance slowdowns, thereby sustaining uninterrupted and efficient business operations. As a result, businesses can focus on growth and innovation, knowing their network is in capable hands.

Specto simplifies the process of gathering essential metrics and profiling your applications on both iOS and Android platforms with minimal coding effort. Our solution enables you to maintain a competitive edge by meeting the high expectations of users. Integrating the Specto SDK into your app requires just a few lines of code, and most configuration settings, such as sampling rates and plugin management, can be adjusted remotely, allowing you to launch your app and make adjustments afterward. We have meticulously designed our SDK to respect your app's integrity; it does not alter any operating system functions, runs no code unless you consciously initialize it, and adheres to all App Store and Play Store regulations. Additionally, the SDK contributes less than 1MB (per architecture) to the overall size of your application on both platforms. With Specto, you can perform time profiling effortlessly, as we consistently gather and compile metrics regarding the execution duration of function call trees in a live environment. This means you can focus on enhancing your app’s performance without worrying about the technical complexities.

Easy to use server configuration and monitoring tool for change monitoring

Quickly identify performance issues and gain insights into the workings of a complex C/C++ application using Orbit, a standalone profiling and debugging tool designed for both Windows and Linux environments. This tool is specifically engineered to assist developers in comprehending and visualizing the execution flow within intricate applications. By providing an overarching perspective on the internal operations, Orbit enhances the developer's grasp of complex systems, enabling them to swiftly pinpoint performance bottlenecks. The tool seamlessly operates with any C/C++ application, provided it has access to the Pdb file, allowing you to initiate profiling immediately after downloading Orbit. Upon launch, Orbit integrates itself within the target process, hooking into specific functions, and is effective even with highly optimized final or shipping builds. Its sampling feature is particularly beneficial when starting your investigation, as it is fast, reliable, and continuously active. Orbit optimizes the profiling process by combining sampling techniques with dynamic instrumentation, ensuring a more efficient workflow for developers seeking to enhance application performance. Additionally, the ability to visualize execution paths greatly aids in understanding how different components interact within the system.

A specialized application performance monitoring tool tailored for distributed systems, particularly optimized for microservices, cloud-native environments, and containerized architectures like Kubernetes. One SkyWalking cluster has the capacity to collect and analyze over 100 billion pieces of telemetry data. It boasts capabilities for log formatting, metric extraction, and the implementation of diverse sampling policies via a high-performance script pipeline. Additionally, it allows for the configuration of alarm rules that can be service-centric, deployment-centric, or API-centric. The tool also has the functionality to forward alarms and all telemetry data to third-party services. Furthermore, it is compatible with various metrics, traces, and logs from established ecosystems, including Zipkin, OpenTelemetry, Prometheus, Zabbix, and Fluentd, ensuring seamless integration and comprehensive monitoring across different platforms. This adaptability makes it an essential tool for organizations looking to optimize their distributed systems effectively.

Uptrace is an observability platform built on OpenTelemetry that enables users to track, comprehend, and enhance intricate distributed systems effectively. With a single, streamlined dashboard, you can oversee your entire application stack efficiently. This setup provides a swift view of all services, hosts, and systems in one place. The distributed tracing feature allows you to follow the journey of a request as it flows through various services and components, highlighting the timing of each operation along with any logs and errors that arise in real-time. Through metrics, you can swiftly gauge, visualize, and monitor a variety of operations using tools such as percentiles, heatmaps, and histograms. By receiving alerts when your application experiences downtime or when a performance issue is detected, you can respond to incidents more promptly. Moreover, the platform allows you to monitor all aspects—spans, logs, errors, and metrics—using a unified query language, simplifying the observability process further. This comprehensive approach ensures that you have all the necessary insights to maintain optimal performance in your distributed systems.

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.

Developers can track errors and monitor performance to see what is important, find faster solutions, and continuously learn about their applications, from the frontend to backend. Sentry's performance monitoring can help you trace performance issues down to slow database queries and poorly performing api calls. Sentry's application performance monitoring is enhanced by stack traces. Identify performance issues quickly before they cause downtime. To see the entire distributed trace from end to end, you can identify the API call that is not performing well and highlight any errors. Breadcrumbs help you make application development easier by showing you the events that led to the error.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

Kloudfuse is an observability platform powered by AI that efficiently scales while integrating various data sources, including metrics, logs, traces, events, and monitoring of digital experiences into a cohesive observability data lake. With support for more than 700 integrations, it facilitates seamless incorporation of both agent-based and open-source data without requiring any re-instrumentation, and it accommodates open query languages such as PromQL, LogQL, TraceQL, GraphQL, and SQL, while also allowing for the creation of custom workflows through notifications and webhooks. Organizations can easily deploy Kloudfuse within their Virtual Private Cloud (VPC) through a straightforward single-command installation and manage operations centrally using a control plane. The platform automatically collects and indexes telemetry data with smart facets, which helps deliver rapid search capabilities, context-aware alerts powered by machine learning, and service level objectives (SLOs) with minimized false positives. Users benefit from comprehensive visibility across the entire stack, enabling them to trace issues from user experience metrics and session replays all the way down to backend profiling, traces, and metrics, which makes troubleshooting more efficient. This holistic approach to observability ensures that teams can quickly identify and resolve code-level issues while maintaining a strong focus on enhancing user experience.

Open source continuous profiling allows you to identify and resolve your most critical performance challenges across code, infrastructure, and CI/CD pipelines. It offers the ability to tag data based on dimensions that are significant to your organization. This solution facilitates the economical and efficient storage of vast amounts of high cardinality profiling data. With FlameQL, users can execute custom queries to swiftly select and aggregate profiles, making analysis straightforward and efficient. You can thoroughly examine application performance profiles using our extensive suite of profiling tools. Gain insights into CPU and memory resource utilization at any moment, enabling you to detect performance issues before your customers notice them. The platform also consolidates profiles from various external profiling tools into a single centralized repository for easier management. Moreover, by linking to your OpenTelemetry tracing data, you can obtain request-specific or span-specific profiles, which significantly enrich other observability data such as traces and logs, ensuring a comprehensive understanding of application performance. This holistic approach fosters proactive monitoring and enhances overall system reliability.

BMC Compuware Strobe serves as a robust solution for managing and analyzing the performance of mainframe applications, aiding analysts in identifying inefficiencies that lead to high CPU usage and extended execution times. With Strobe, users can effortlessly detect performance hindrances that adversely affect efficiency, thereby enhancing code performance, transaction response times, and overall throughput. It allows for the early and automated collection of application performance metrics within CI/CD pipelines. Additionally, the tool helps uncover tuning opportunities that can lead to reductions in monthly software licensing expenses (MLC). Users can create and schedule automatic, reusable measurements to proactively identify performance issues before they affect end users. By applying advanced analytics to the gathered data, Strobe provides insights on applications that exhibit high resource consumption and require optimization. The solution is capable of measuring the performance of both online and batch-processing applications across single and multi-system environments. Furthermore, its built-in intelligence and user-friendly interface enable new users to quickly become proficient in utilizing the tool for their performance management needs. This combination of features not only fosters efficiency but also empowers organizations to enhance their application performance strategies.

blësk stands out as the sole all-in-one solution on the market capable of handling every facet of network monitoring from a single device. This platform boasts rapid, adaptable deployments while delivering impressive returns on investment. Notably, it is the first application in the industry to seamlessly integrate prominent Open Source monitoring technologies widely utilized globally into a single, user-friendly interface. The additional layers of blësk enhance its functionality and provide a cohesive graphical layout. Users can efficiently pinpoint and rectify the issues leading to application downtime, with rapid identification of network, protocol, and service failures, as well as alerts triggered by SNMP traps. It allows tracing of serial data, including CPU load and bandwidth usage, while gathering, analyzing, and assessing performance metrics for SNMP-compliant devices in near real-time. Additionally, it offers predictive capabilities for saturation, classifies interface ports based on usage, and computes the losses and latencies associated with various equipment, contributing to a more reliable network environment. Ultimately, blësk’s comprehensive features empower organizations to maintain optimal performance and minimize disruptions effectively.

DymaxIO is a high-speed data management software that operates seamlessly both on-premises and in the cloud, reclaiming over 40% of throughput lost to I/O inefficiencies. This solution is not only quick and user-friendly but also offers complete transparency and automation. It effectively addresses issues like application slowdowns, freezes, timeouts, and sluggish SQL queries, all while helping to lower cloud computing expenses. With DymaxIO, you can swiftly regain lost speed and optimize performance. Additionally, its Undelete feature ensures instant recovery of deleted files through continuous data protection, which means you no longer have to rely on lengthy backup restorations. This functionality safeguards both local and network-shared files, enabling the effortless restoration of any deleted file or its previous versions. In just a few clicks, you can recover content that took hours to create, eliminating the frustration of lost data. By tackling performance issues directly without the need for tuning, DymaxIO can enhance your infrastructure's efficiency by over 30%, benefiting both your systems and users. Maximize the lifespan of your existing assets and avoid unnecessary expenditures on costly new hardware by choosing DymaxIO today. Experience the transformation in your data management and performance efficiency now!

There's no requirement to modify your coding practices or the methods you use to develop your projects. You can conduct profiling for applications that operate on multiple servers and involve various processes, providing clear insights into potential bottlenecks related to I/O, computational tasks, threading, or multi-process operations. You'll gain a profound understanding of the specific types of processor instructions that impact your overall performance. Additionally, you can monitor memory usage over time, allowing you to identify peak usage points and fluctuations throughout the entire memory landscape. Arm MAP stands out as a uniquely scalable profiler with low overhead, available both as an independent tool and as part of the comprehensive Arm Forge debugging and profiling suite. It is designed to assist developers of server and high-performance computing (HPC) software in speeding up their applications by pinpointing the root causes of sluggish performance. This tool is versatile enough to be employed on everything from multicore Linux workstations to advanced supercomputers. You have the option to profile realistic scenarios that matter the most to you while typically incurring less than 5% in runtime overhead. The user interface is interactive, fostering clarity and ease of use, making it well-suited for both developers and computational scientists alike, enhancing their productivity and efficiency.

dotCover is a powerful code coverage and unit testing tool designed for .NET that seamlessly integrates into Visual Studio and JetBrains Rider. This tool allows developers to assess the extent of their code's unit test coverage while offering intuitive visualization features and is compatible with Continuous Integration systems. It effectively calculates and reports statement-level code coverage for various platforms including .NET Framework, .NET Core, and Mono for Unity. As a plug-in to popular IDEs, dotCover enables users to analyze and visualize coverage directly within their coding environment, facilitating the execution of unit tests and the review of coverage outcomes without having to switch contexts. Additionally, it boasts support for customizable color themes, new icons, and an updated menu interface. Bundled with a unit test runner shared with ReSharper, another JetBrains product for .NET developers, dotCover enhances the testing experience. It also supports continuous testing, allowing it to dynamically identify which unit tests are impacted by code modifications as they occur. This real-time analysis ensures that developers can maintain high code quality throughout the development process.

AppQoS represents a groundbreaking advancement in Application Performance Management (APM), enabling enterprises, ISPs, MSPs, and Cloud Providers to effectively oversee application performance across local, distributed, and remote networks. This innovative solution operates passively, scrutinizing all traffic within the monitored network segments to offer comprehensive stream reassembly and application-level insights without necessitating host agents or imposing additional burdens on network infrastructure. By providing real-time, passive analysis of network sessions for every transaction, AppQoS yields critical insights into application performance and health across both local and remote networks, distinguishing itself as an exceptional choice for managing distributed network environments. Its unparalleled flexibility in deployment and operations allows enterprises, ISPs, MSPs, and Cloud Providers to uphold application performance SLAs throughout the entire networked infrastructure, ensuring a robust and reliable application experience for users. In an era where application performance is paramount, AppQoS stands out as an essential tool in the arsenal of modern network management.

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.

At the heart of the Uila virtual infrastructure framework lies a robust big data storage and analytics system, meticulously constructed to expand efficiently for extensive data center setups featuring thousands of servers, while also being capable of fine-tuning to capture high-resolution data and preserving historical information without sacrificing real-time responsiveness. The built-in redundancy ensures exceptional availability, minimizes downtime, and decreases maintenance efforts. UMAS is versatile enough to be deployed in Private, Public, or SaaS Cloud environments. Acting as the analytical powerhouse, the engine adeptly correlates application performance with infrastructure metrics, enabling the identification of the underlying causes of any performance issues. Additionally, the historical data generates trending reports that assist in uncovering infrastructure hotspots, thus ensuring optimal application performance is sustained. Furthermore, uObserve provides a feature for Application Dependency Mapping, enhancing the understanding of application interrelations within the infrastructure.