Best Application Performance Monitoring (APM) Software for Freelancers - Page 5

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

Monitor serverless applications. Dashbird allows you to build and manage high-quality serverless apps in less time and with confidence. No code changes required. Setup takes less than 2 minutes.

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

AppSignal combines error tracking, performance monitoring and custom metrics with anomaly detection. By developers for developers.

Automate your app distribution, streamline development processes, manage feedback cycles and deliver faster and better apps to market.

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

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

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

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.

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.

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

The Riverbed Aternity platform harnesses the power of AI-driven analytics and self-healing mechanisms to enhance both employee efficiency and customer satisfaction while enabling swift market entry with high-quality applications, reducing IT operational expenses, and managing the complexities of IT transformation. By providing AI-powered insights derived from authentic end-user experience data and precise telemetry across various endpoints, applications, infrastructure, and networks, Riverbed Aternity equips Digital Workplace teams with essential tools such as DXI for benchmarking, an Intelligent Service Desk, and AI-enhanced troubleshooting. These features facilitate ongoing service enhancement and proactive incident prevention throughout the organization. Explore how Aternity can empower enterprises to achieve comprehensive visibility across their environments, lower IT asset expenditures, promote sustainable IT practices, and elevate the satisfaction of both employees and customers, ultimately driving organizational success.

Robot Monitor stands out as the most thorough and detailed monitoring solution designed specifically for Power Systems environments, whether operating solely on IBM i or in conjunction with VIOS, AIX, or Linux on Power. Utilizing cutting-edge technology, it ensures the highest level of surveillance for your essential IT infrastructure. By providing real-time insights into the performance of your Power servers—covering aspects such as system status, disk performance, network health, availability, application data, and JDBC/ODBC activity—you and your team can take proactive measures to address potential issues before they adversely affect user productivity or resource allocation. With its highly customizable and contemporary dashboards, you gain clear visibility into all your metrics, elements, and status conditions, ensuring nothing goes unnoticed. Accessing all your data from a unified central interface helps you minimize downtime and enhance overall performance. Furthermore, if you're not actively monitoring the dashboard, Robot Monitor is equipped to send alerts when problems arise, ensuring you stay informed at all times. This proactive approach empowers your team to maintain optimal operational efficiency without constant manual oversight.

WhaTap-Application offers comprehensive insights into your systems. Utilizing its unique 'Active Stack' technology, WhaTap identifies areas needing improvement, revealing issues that other tools may overlook. The installation process is straightforward, and users can begin experiencing WhaTap's benefits within just five minutes after setting up the WhaTap-Agent. Its innovative technology allows you to uncover hidden elements that you might not be aware of. The application provides integrated monitoring across various regions and departments, supporting multi-lingual and multi-platform environments while efficiently managing large-scale transactions and enabling tracking of standalone applications. As the demand for monitoring increases, WhaTap ensures scalable and reliable performance by simply expanding data storage as needed. It also keeps pace with technological advancements by maintaining the latest version, which helps in overseeing crucial service indicators. In addition, users can leverage performance analysis data to gain valuable business insights, enhancing decision-making processes. Overall, WhaTap serves as a powerful tool for maintaining operational excellence and driving growth.

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.

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.

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.

Customers are required to provide high-quality services while minimizing expenses and maintaining business agility. Modern applications, whether deployed on-premises or in the cloud, and regardless of being monolithic or microservices-based, present a complex landscape with thousands of parameters and numerous instance types that must be adjusted to pinpoint the ideal configuration for balancing performance, resilience, and cost-effectiveness. With Akamas, clients can articulate their specific optimization objectives and constraints, such as service level objectives (SLOs), enabling them to optimize their applications and IT infrastructures effectively. Users of Akamas can experience significant advantages, including a 60% reduction in infrastructure and cloud costs without sacrificing application performance, a 30% boost in transactions per second using the same resources, a 70% reduction in response times while minimizing peaks and fluctuations, and an impressive 80% savings in tuning time. Ultimately, Akamas' AI-driven optimization empowers organizations and online enterprises to enhance service quality, bolster resilience, and achieve substantial cost reductions, paving the way for a more efficient operational framework.

As organizations evolve and become increasingly distributed, the significance of network management continues to rise. Riverbed AppResponse offers a comprehensive solution for packet capture, application analysis, transactional insights, and flow export all in one platform. With specialized modules tailored for various applications, it enhances the speed of problem identification and resolution. The modular architecture of Riverbed AppResponse allows you to choose the specific analysis tools you require, including network forensics, metrics for all TCP and UDP applications, web application performance evaluations, database assessments, VoIP and video analytics, as well as Citrix evaluations. It is often said that packets serve as the ultimate source of truth in networking. By capturing and archiving all packets continuously at one-minute intervals, Riverbed AppResponse ensures that critical details are readily accessible whenever necessary. Additionally, users can delve into second- and micro-second-level specifics when detailed analysis is needed, providing an unparalleled depth of insight into network performance. This makes Riverbed AppResponse an invaluable asset for organizations seeking to maintain optimal network health and efficiency.

Monitor and Visualize Microsoft 365 Performance Microsoft 365 deployments can include a variety of complex components such as Teams, SharePoint and Exchange. Although it is unlikely, failure can not be ruled out. It is difficult to keep track of the entire deployment because of the interdependence between M365 elements. Your Microsoft 365 Service Health Dashboard in the Microsoft 365 Admin Center may show no issues, but users send tickets claiming they are having trouble logging into their SharePoint. This is made easier by the NiCE Active 365 Management Pack. It identifies and discloses performance issues that can be traced back to users, groups or mailboxes. Advanced infrastructure and application monitoring are available to provide a better user experience, fast troubleshooting, outage prevention and a better user experience.

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.

Achieve a comprehensive understanding of application performance through real-time insights into users' genuine physical interactions. This tool is designed for monitoring the performance of mobile applications on handheld devices. Mi offers an analysis of interactive performance metrics, including collapse rates, HTTP error rates, and essential performance indicators like network error rates, user access patterns, and various behavioral data. Additionally, it tracks active users and other operational data, allowing for a deeper and more nuanced grasp of the application's current performance experience, ultimately aiding in product optimization and enhancements. The evaluation of user experience is conducted through three fundamental metrics: user actions, network requests, and application crashes. Furthermore, user distribution data is categorized across various dimensions such as app versions, operating systems, device types, and geographic regions, ensuring a thorough recording of each user's access journey and helping developers make informed decisions for future improvements. This holistic approach ensures that businesses can continuously adapt to user needs and enhance their application's effectiveness.

Product Usage Analytics to Make Smarter, Faster Strategy Decisions and Roadmap Decisions. Usage Intelligence (formerly Revulytics), helps you make better decisions, whether you are defining new features or optimizing existing product functionality. Analyze actual product usage metrics to understand user interaction and engagement with your software. Also, analyze your install base to create a data-driven strategy that will guide you in making pricing, pricing, and sunsetting decisions. Analytics can help you make better product management decisions. Developer teams can use technical and environment data to gain insight into infrastructure and support requirements. Usage Intelligence is the first solution for software usage analytics. It provides deep insight into application usage. Find out which features are most used.

A digital experience management solution that integrates with Prisma SAE, including GlobalProtect and Prisma Access, allows you to optimize user experiences without having to install additional software or hardware. IT Teams must quickly identify and resolve issues throughout the service delivery chain, regardless of whether they are supporting employees at home or in the office. You can find the answer to any performance question for any user with ADEM, which is included with SASE. You can use the most comprehensive experience insights to pinpoint critical incidents and root causes. You have all the visibility you need to manage experience with correlated performance metrics across all endpoints and networks.

Traverse by Kaseya provides integrated oversight of hybrid cloud and network infrastructure within enterprise and managed service provider (MSP) settings. This powerful tool enables IT experts and MSPs to swiftly identify and address data center and network challenges before they affect service quality. By connecting and correlating all essential IT elements that underpin a business service or process, Traverse offers users a holistic, service-focused perspective of their IT environment. Notable features of Traverse encompass proactive monitoring, actionable alerts, and advanced predictive analytics, among additional capabilities. Ultimately, this solution enhances operational efficiency by empowering organizations to maintain optimal service levels.