Alternatives to Huawei APM

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

OpManager is the ideal end-to-end network monitoring tool for your organization's network. With OpManager, you can keep a close eye on health, performance, and availability levels of all network devices. This includes monitoring switches, routers, LANs, WLCs, IP addresses and firewalls. Insights into your hardware health and performance; monitor CPU, memory, temperature, disk usage, and more to improve efficiency. Seamlessly manage faults and alerts with instant notifications and detailed logs. Streamlined workflows facilitate easy set-up to execute quick diagnosis and corrective measures. The solution also comes with powerful visualization tools such as business views, 3d data center views, topology maps, heat maps, and customizable dashboards. Get proactive in capacity planning and decision-making with over 250 predefined reports covering all important metrics and areas in your network. Overall, OpManager's detailed management capabilities make it the ideal solution for IT administrators to achieve network resiliency and efficiency.

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.

IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.

The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.

Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.

Spend more time creating great software than fighting it. Raygun, a cloud-based platform, provides error, crash and performance monitoring for web and mobile apps. Raygun's powerful suite allows teams to have complete visibility into issues their users face, and can provide code-level details into the root causes. Raygun's products cover three main areas: APM, Crash Reporting and Real User Monitoring. They are all fully integrated to each other to provide powerful insights unlike anything your team has ever experienced. Raygun allows you to see how your users actually use your software. You can quickly detect, diagnose, and fix performance issues faster.

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.

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.

Nazar was developed to address the challenges of managing several databases across multi-cloud or hybrid settings. Fully equipped for the primary database engines, it effectively removes the necessity for juggling multiple tools. By providing a standardized and user-friendly method for establishing new servers on the platform, it significantly reduces setup time. Users can obtain a cohesive overview of their database performance on a singular dashboard, eliminating the hassle of interfacing with various tools that offer inconsistent views and metrics. The real competition lies not in the tedious setup, log tracing, or querying of data dictionaries; rather, Nazar leverages the inherent capabilities of the DBMS for monitoring, thus eliminating the need for additional agents. Furthermore, Nazar automates both anomaly detection and root-cause analysis, which leads to a decrease in mean time to resolution (MTTR) while proactively identifying issues to prevent incidents, ensuring optimal application and business performance. With its comprehensive approach, Nazar not only enhances efficiency but also empowers users to focus on strategic initiatives rather than mundane tasks.

Seagence's unique execution pathway technology, combined with machine learning, allows you to receive realtime alerts that pinpoint the root cause of any defects in your Java production applications. You can fix your code without any debugging. When you start your application, attach a lightweight runtime Java agent. Seagence agent tracks data about how requests are processed as users access the application. Seagence needs to have enough sample for analysis within 24 hours. Seagence's analytics engine receives the data in realtime. It detects defects and alerts when they occur. Seagence can uncover all defects in your application, even those that are not obvious. Seagence provides defect and root cause information to help you fix your code. Seagence monitors your production application continuously and finds defects and root causes in real-time. This eliminates the need to debug.

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.

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.

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.

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.

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.

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.

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.

Bionic adopts an agentless strategy to gather all your application artifacts, offering a level of application insight that surpasses what your CSPM tool can deliver. It consistently monitors and compiles a comprehensive inventory of your applications, services, message brokers, and databases. By integrating seamlessly into CI/CD pipelines, Bionic identifies significant risks within the application layer and code, enabling teams to assess security posture during production. Additionally, Bionic conducts thorough code analysis, checking for critical CVEs while delivering profound insights into the potential impact of attack surfaces. The platform prioritizes code vulnerabilities with consideration to the overall architecture of your applications. Furthermore, you can establish tailored policies to rank architectural risks according to your organization's specific security requirements, ensuring that security measures align with business needs and regulatory standards. This comprehensive approach empowers teams to proactively address vulnerabilities and enhance the overall security framework of their applications.

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.

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.

View the health status of your applications as a comprehensive indicator of the entire application ecosystem, which includes everything from the physical infrastructure to the middleware and ultimately the user experience. Integrate health metrics across various technologies to gain a clearer picture. Implement proactive monitoring to identify stress points early on. Establish connections between performance metrics and application health status. Ensure that information is readily available to collaborate with other teams. Are you still relying on individual management consoles for each product to oversee your middleware platforms? This complexity is unnecessary. Access all of your middleware technologies through a singular, unified interface. Gather data efficiently without impacting performance. Relate performance metrics to hosts, networks, databases, and application servers. Begin with a small-scale approach and expand as your needs grow. Utilize our packaged solutions to monitor your applications and their underlying technologies in real-time, or create a tailored real-time monitoring system with our high-performance integrated development environment (IDE). This streamlined process can enhance your overall operational efficiency significantly.

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.

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.

Full-stack platform for monitoring your hardware and software. InsightCat, a full-stack monitoring solution for infrastructure monitoring, allows you to search, analyze, aggregate and summarize system metrics from one place. The solution was designed to be simple and address the most pressing requests of DevOps and SecOps (System administrators, SecOps and IT specialists) related to infrastructure monitoring, security log management, log management, log management, and other issues. This solution allows you to: Perform infrastructure monitoring. Identify anomalies in your infrastructure and eliminate them as quickly possible. This will also prevent similar problems from happening again. Synthetic monitoring. Monitoring your web services 24 hours a day. Be aware of any critical downtimes in advance. Log management. Log management. Smart alerting and escalation. To keep your team informed of any unusual behavior, spikes or errors, set up the flexible alarming system.

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.

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.

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.

The Heimdall Proxy serves as a vital data access layer for developers, database administrators, and architects alike, whether in on-premise setups or cloud environments. By utilizing our proxy, users experience a solution that enhances speed, scalability, and security for existing SQL databases. We provide comprehensive SQL visibility and performance management across various database vendors, and our proxy can be seamlessly implemented as a transparent sidecar process. This distributed deployment approach maximizes performance and ensures predictive scaling capabilities. To establish a master writer and read replica architecture, certain application modifications are necessary, and our proxy expertly directs queries to the correct database instance. With our replication lag detection feature, we can assure data consistency across the board. Furthermore, the connection efficiency is significantly boosted, achieving a reduction of front-side to back-side connections by as much as a 1000:1 ratio. Users can also set limits on connections based on individual users or specific databases, promoting fairness and safeguarding the database from overload. Our solution also goes a step further by incorporating Active Directory integration for robust authentication and authorization. This not only enhances security but also simplifies user management within the system.

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.

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.

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.

CySight’s revolutionary Actionable Intelligence, trusted by Fortune 500 globally, enables organizations with the most cost-effective and secure way to tackle the increasing density, complexity, and expanse of modern physical and cloud networking. Deploying cyber network intelligence, CySight empowers network and security teams to substantially accelerate incident response by eliminating blindspots, analyzing network telemetry to discover anomalies, uncover cyber-threats, and quantifying asset usage and performance. CySight’s Dropless Collection method enables unsurpassed visibility of network Big-Data which is retained in the smallest footprint, accelerating machine learning, artificial intelligence and automation to fully utilize all metadata no matter the amount, size, or type.

Capture videos of user sessions to effortlessly replicate JavaScript errors without needing to request information from the end user. Explore a demonstration in our online sandbox. RootCause equips you with an extensive array of tools to effectively monitor and replicate errors in websites and applications. With the integrated recording feature, you’ll have a precise account of user actions. Once an error is recorded, simply navigate to the web-based Replay Studio to replay the session and recreate the error with just one click. This functionality eliminates the need to sift through call stacks or extensive logs to track down bugs. Additionally, by utilizing the Feedback button, you can gather user reports regarding visual, usability, or rendering issues, enhancing your ability to improve the user experience. This comprehensive approach not only streamlines error management but also strengthens communication with users regarding potential issues.

Accelerate the transition from data to tangible business results with Splunk. Splunk Enterprise streamlines the process of gathering, analyzing, and leveraging the hidden potential of the vast data created by your technological framework, security measures, and enterprise applications—equipping you with the knowledge necessary to enhance operational efficiency and achieve business objectives. Effortlessly gather and index log and machine data from a variety of sources. Merge your machine data with information stored in relational databases, data warehouses, as well as Hadoop and NoSQL data repositories. The platform's multi-site clustering and automatic load balancing capabilities are designed to accommodate hundreds of terabytes of data daily, ensuring quick response times and uninterrupted access. Customizing Splunk Enterprise to suit various project requirements is straightforward with the Splunk platform. Developers have the flexibility to create bespoke Splunk applications or incorporate Splunk data into existing applications. Furthermore, applications developed by Splunk, our collaborators, and the community enhance and expand the functionalities of the Splunk platform, making it a versatile tool for organizations of all sizes. This adaptability ensures that users can extract maximum value from their data in a rapidly changing business landscape.

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.

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.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

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.

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.

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.

StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

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.