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

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

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

GroundWork Monitor Enterprise is an IT monitoring software that can monitor your physical, virtual, or cloud-based infrastructures. GroundWork can monitor all aspects of your IT environment. GroundWork can monitor any IT environment you have. GroundWork Monitor Enterprise is an enterprise-wide monitoring system that bridges cloud-scale and on-premise monitoring and analytics. GroundWork allows you to collect and analyze all of your operational and performance data from one platform. GroundWork combines performance and availability across your entire application stack. GroundWork provides flexible and customizable workflows as well as powerful integrations. GroundWork is your central point for IT monitoring data collection, status alerting, and status alerting. GroundWork monitors application health, automatically deploys monitoring, and identifies network issues. GroundWork agents with API-based monitoring make real-time data collection possible. We make it simple to reduce manual intervention by using automated network discovery and device registration.

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

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

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.

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

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.

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

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

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

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.

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.

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.

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.

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.