Alternatives to Bugsnag

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.

Obkio is a simple Network Monitoring and Troubleshooting SaaS solution that allows users to continuously monitor the health of their network and core business applications to improve the end-user experience. Obkio identifies the cause of intermittent network problems, VoIP, video, and applications slowdown in seconds so you can troubleshoot before they affect your end-users. Deploy network monitoring Agents at strategic locations in a company's offices or network destinations such as data sites, remote sites, external client sites, or public or private clouds to continuously monitor performance using synthetic traffic exchanged every 500ms. Obkio continuously tests and measures network metrics, such as latency, jitter, packet loss, quality of service and customer experience via QoE (Quality of Experience). The app alerts you as soon as a problem occurs or even if there are signs that a failure is about to happen. Not only does it alert you and pinpoint the source of the issue, but it also allows you to go back in time to complete a diagnosis.

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.

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.

Bugfender serves as a remote logger, crash reporting tool, and platform for in-app user feedback specifically designed for application developers. It captures every action within the app, even in instances where it doesn’t crash, allowing developers to replicate and address issues more efficiently, thus enhancing customer support. With a strong emphasis on user privacy, Bugfender operates efficiently in terms of battery and network usage, maintaining logging capabilities even when the device is offline. This tool empowers developers to identify and rectify bugs before users become aware of them. By logging bugs across all devices and delivering the results in mere seconds, Bugfender allows for prompt fixes, ensuring that users never encounter an error message. This proactive approach helps in achieving 5-Star Ratings. Beyond merely tracking crashes and bugs, Bugfender gathers comprehensive data essential for creating a detailed understanding of user behavior, which is vital for obtaining those coveted five-star ratings. Additionally, it facilitates exceptional customer service by enabling developers to focus on individual users, thereby offering tailored support to enhance user satisfaction and loyalty. Ultimately, Bugfender transforms the way developers interact with their applications and users, fostering a more resilient and user-friendly product.

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

LogRocket combines session replay and performance monitoring with product analytics, empowering software teams to create the perfect product experience.

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.

Proactively discover, predict, and resolve errors with the continuous code improvement platform.

Ensure that crashes from apps, devices, or games do not hinder your exceptional user experience. Backtrace simplifies cross-platform crash and exception management, allowing you to concentrate on product delivery. It offers seamless aggregation and monitoring of callstacks and events across various platforms. You can manage errors arising from panics, core dumps, minidumps, and runtime issues within a unified system. With Backtrace, structured and searchable error reports are generated from your data effortlessly. The automated analysis feature significantly reduces resolution time by highlighting crucial signals that guide engineers toward identifying the root causes of crashes. You can rely on rich integrations with dashboards, notifications, and workflow systems to ensure no detail is overlooked. Utilize Backtrace’s advanced query engine to address the inquiries that matter most to your team. Gain insights through a comprehensive overview of error frequency, prioritization, and trends across all your projects while also being able to sift through key data points and your custom information associated with each error. This streamlined approach enhances your efficiency in managing and resolving issues promptly.

Errsole is a free open-source logger for Node.js applications. It comes with a built-in log viewer to view, filter, and search your application logs. 1) Minimal Setup: Just include the Errsole package in your code—no need for dedicated servers, software installations, or complicated configurations. 2) Logger++: Errsole automatically collects all logs from the Node.js console. Additionally, it provides advanced logging functions that support multiple log levels and the ability to attach metadata to logs. 3) Store Anywhere: Store your logs wherever you want—whether in a file or any database of your choice. You can also configure log rotation to specify how long logs should be retained. 4) Log Viewer: View, filter, and search through your logs using the built-in Web Dashboard. Secure authentication and team management features ensure that only you and your team can access the logs. 5) Critical Error Notifications: Get immediate notifications when your app crashes or encounters critical errors. The notification includes the error message, the app name, the environment, the server name, and a direct link to view the error in your logs.

Instabug offers mobile apps bug reporting and in-app feedback. It allows seamless two-way communication between testers and users, as well as detailed environment reports for developers, after integrating the SDK. The integration takes less than 5 minutes and the results are amazing! Instabug is trusted by the top apps around the globe. Instabug is rated highly for its bug reporting and tracking tools. We offer exceptional support 24 hours a day.

Enhance your app's stability and resolve issues more swiftly. Firebase Crashlytics allows you to monitor, prioritize, and address stability problems that compromise your app's quality in real time. By reducing the time spent on crash triage and troubleshooting, you can focus more on developing features that will impress your users. Crashlytics expertly consolidates a multitude of crashes into a concise list of issues, offering insights into the reasons behind each crash and the events that preceded it. This detailed information enables you to quickly identify the underlying causes of crashes. Furthermore, crashes are ranked based on their impact on real users, guiding you in effectively prioritizing bug fixes. You will receive instant notifications about new issues, regressions, and emerging problems that may need urgent attention, regardless of your location. In addition, Firebase Crashlytics integrates smoothly with popular bug tracking and project management tools such as Slack and Jira, allowing for efficient collaboration and workflow management. This comprehensive approach not only streamlines the debugging process but also ensures your app remains robust and user-friendly.

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.

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

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.

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.

Enhance both your production and staging environments by integrating logs, metrics, and traces in real-time and on-demand directly from your IDE or command line interface. With Lightrun, you can significantly improve productivity and achieve complete code-level visibility. You can add logs and metrics instantly while services are operational, making it easier to debug complex architectures like monoliths, microservices, Kubernetes, Docker Swarm, ECS, and serverless applications. Quickly insert any missing log lines, instrument necessary metrics, or establish snapshots as needed without the hassle of recreating the production setup or redeploying. When you invoke instrumentation, the resulting data gets sent to your log analysis platform, IDE, or preferred APM tool. This allows for thorough analysis of code behavior to identify bottlenecks and errors without interrupting the running application. You can seamlessly incorporate extensive logs, snapshots, counters, timers, function durations, and much more without risking system stability. This streamlined approach lets you focus on coding rather than getting bogged down in debugging, eliminating the need for constant restarts or redeployments when troubleshooting. Ultimately, this results in a more efficient development workflow, allowing you to maintain momentum on your projects.

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.

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Easily monitor and manage application errors in just a few minutes using Airbrake, a powerful solution for error detection and monitoring. This efficient tool allows users to swiftly pinpoint, evaluate, and rectify issues, providing insights into parameters, stack traces, impacted users, and additional details. With its comprehensive dashboards, Airbrake simplifies error tracking and management significantly. Moreover, users can access Airbrake through its mobile-optimized web application, ensuring that they can stay informed and address issues on-the-go. This flexibility enhances the overall user experience and contributes to faster resolution times.

Memfault upgrades Android and MCU-based smartphones to reduce risk, ship products quicker, and resolve issues quickly. Developers and IoT device makers can easily and quickly monitor and manage the entire device's lifecycle, including feature updates and development, by integrating Memfault in smart device infrastructure. Remotely monitor firmware and hardware performance, investigate issues remotely, and roll out targeted updates incrementally to devices without interrupting customers. You can do more than just application monitoring. Get device- and fleet-level metrics like battery health, connectivity, and crash analytics for firmware. Automated detection, alerts and deduplication make it easier to resolve issues faster. Customers will be happy if bugs are fixed quickly and features are shipped more often with staged rollouts (cohorts) and for specific device groups (cohorts).

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.

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.

Inspector is a powerful tool designed for monitoring code execution, assisting software developers in the automatic detection of errors and performance bottlenecks. It efficiently traces applications regardless of their scale, allowing developers to address issues proactively before they impact customers, all while maintaining predictable and low debugging costs. By using Inspector, teams can enhance their development process and ensure a smoother user experience.

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.

FlowLens is an innovative debugging and session-recording tool driven by AI, designed to capture all essential elements required for accurate and context-sensitive bug diagnosis, while enabling AI coding agents to autonomously resolve issues. Through an easy-to-use browser extension and an optional MCP server, FlowLens documents comprehensive user sessions, recording video of the user interface, network requests, console logs, user actions (such as clicks and inputs), storage states (including cookies and local/session storage), and system information, all meticulously aligned on a cohesive timeline. After a bug is replicated, FlowLens compiles this complete context into a single "flow" that can be easily shared through a link. Compatible AI coding agents that work with MCP, including those from leading providers, can then access the flow to review network activities, error logs, UI states, and user inputs, facilitating automatic root cause analysis and code fix suggestions or generation. This streamlined process eliminates the tedious tasks of manual replays, the hassle of copying and pasting logs, and the need for lengthy bug descriptions, ultimately enhancing productivity and efficiency. Additionally, FlowLens empowers teams to focus on more complex problems, as the platform simplifies the debugging workflow, allowing developers to leverage AI effectively.

Xdebug is a powerful PHP extension that enhances the development workflow by offering various tools and functionalities. It allows developers to step through code in their integrated development environment as scripts run, making debugging much easier. The extension provides an enhanced version of the var_dump() function and delivers stack traces for notices, warnings, errors, and exceptions, clearly indicating the path leading to issues. Additionally, it logs all function calls, including arguments and their locations, to the disk, and can be configured to also record every variable assignment and return value for each function. This feature set enables developers, with the aid of visualization tools, to thoroughly examine the performance of their PHP applications and identify any bottlenecks. Moreover, Xdebug reveals the sections of code that are executed during unit testing with PHPUnit, aiding in better test coverage. For convenience, installing Xdebug via a package manager is typically the quickest method; simply replace the PHP version with the version you are currently using. You can also install Xdebug using PECL on both Linux and macOS, utilizing Homebrew for a streamlined setup process. Overall, Xdebug significantly enhances PHP development by providing essential debugging tools and performance insights.

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.

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

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.

Zipy is a digital experience platform that combines analytics, error monitoring and session replay functionality in one. You can get deep insights into the behavior of users, reduce the time it takes to resolve issues, and improve customer satisfaction.

BMC Compuware Xpediter comprises a suite of debugging and interactive analysis tools designed for COBOL, Assembler, PL/I, and C programming languages, enabling developers to swiftly grasp application structures, implement modifications, and resolve issues securely, even when they lack familiarity with the original codebase. This platform allows developers to initiate interactive test sessions with ease, facilitating a smoother transition of applications into production while boosting their confidence in the process. Users can execute code line by line, gaining control over every facet of program execution and associated data. The inclusion of Code Coverage provides evidence of execution and valuable metrics for applications across various platforms. Additionally, developers can utilize Abend-AID's diagnostic features directly within their debugging sessions. The integration with Topaz for Program Analysis offers a visual representation of the source code, enhancing the debugging experience. Furthermore, Topaz for Total Test aids in creating a thorough collection of automated virtualized test cases, ensuring comprehensive testing. It even allows for the interception and debugging of mainframe transactions that are triggered remotely, showcasing its versatility in different environments. By utilizing these advanced tools, developers can significantly enhance their productivity and application reliability.

Autoblocks offers AI teams the tools to streamline the process of testing, validating, and launching reliable AI agents. The platform eliminates traditional manual testing by automating the generation of test cases based on real user inputs and continuously integrating SME feedback into the model evaluation. Autoblocks ensures the stability and predictability of AI agents, even in industries with sensitive data, by providing tools for edge case detection, red-teaming, and simulation to catch potential risks before deployment. This solution enables faster, safer deployment without sacrificing quality or compliance.

Loupe helps you identify issues in your application. Loupe is a logging and application monitoring tool for Java and.NET. It helps software teams find and fix errors quickly. Loupe also provides visibility into key metrics and events for all applications and allows users to dig deeper into specific sessions, events, users, or machines. Loupe can be deployed either on-premises or as a hosted cloud solution.

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.

This portal focuses on Operations and Support for Microsoft Azure Serverless resources. A complement to Azure portal for supporting Azure Serverless Application. Service Bus Explorer does not support automated message processing. Detect failure, autocorrect status, correlate run resubmission, and address Azure portals gaps. Application insights allows you to detect anomalies and correct them. Event Grid subscriptions allow you to view and process dead-letters, as well as extensive monitoring. Simulate test environment, monitor partitions and check for active clients. Auto-clean blobs. Monitor storage account components to check their state and properties. Monitor products, endpoints, and operations from multiple perspectives. Automate managing APIM state. Monitor and manage Azure Relays, including Hybrid relays, with analytics. Monitor the health and performance of Azure Web Apps, including HTTP errors, CPU time, garbage collection, and CPU time.

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.

You can easily scan through traffic by highlighting content type, status, and source. Or, you can use powerful filtering tools that match your messages to the most important ones. With MDN inline explanations and docs, you can examine the URL, status, headers, and body of each request, or response. You can explore message bodies using highlighting and auto formatting for JSON HTML, JS, JS and other formats, all with the help of Monaco, the editor in Visual Studio Code. Match requests precisely, jump to them as they appear, and edit any information: the target URL or method, headers, body, or method. You can either respond manually to the requests as they arrive or pass them upstream. On the way back, pause and edit the actual response. Step through HTTP traffic request-by-request, or manually mock errors and endpoints. To quickly prototype against new services or endpoints, create rules that match requests.

Digma seamlessly integrates with your IDE, utilizing runtime information to continuously identify issues, regressions, and other problems as you write code. You can instantly observe how any function performs in both continuous integration and production environments, allowing you to detect issues during the development phase. By analyzing code performance, Digma helps expedite code modifications and prevents recurring regressions, offering essential insights on usage, errors, and performance standards to clarify overlooked code and abandoned libraries. You will quickly grasp what is causing any bottlenecks and delays within your code, thanks to critical data such as execution times, scaling challenges, and N+1 query problems, enabling prompt resolutions. Furthermore, incorporating Digma into your GitOps workflow simplifies Pull Request feedback and enhances code review annotations for your team. With Digma, you'll gain the confidence to tackle even the most extensive and intricate projects, making it a vital asset for developers. This tool not only streamlines the coding process but also fosters a deeper understanding of your codebase.

AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.

LogDog is an intuitive, real-time debugging platform built from the ground up to simplify mobile app development for iOS and Android. It lets developers remotely monitor network traffic, logs, and internal events with live updates, making bug detection and troubleshooting more efficient. The SDK integrates quickly with minimal code and offers handy features such as mocking API responses, 1-click screen sharing, and a built-in debug popup for on-device log control. Compatible with both debug and production builds, LogDog captures crucial events from the first app launch without the need for cables or manual reattachment. The web dashboard supports detailed log inspection, filtering, exporting, and easy sharing, boosting team collaboration during development. Designed to minimize performance overhead, the SDK adds only a small footprint to your app. LogDog also prioritizes security, encrypting all data in transit and at rest while giving developers full control over logged content. Whether you’re troubleshooting complex issues or speeding up your QA cycle, LogDog empowers mobile teams to ship better software faster.

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

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.

BotKube is an innovative messaging bot designed for the monitoring and troubleshooting of Kubernetes clusters, developed and supported by InfraCloud. This versatile tool seamlessly integrates with various messaging platforms such as Slack, Mattermost, and Microsoft Teams, enabling users to oversee their Kubernetes environments, address critical deployment issues, and receive best practice recommendations through checks on Kubernetes resources. By observing Kubernetes activities, BotKube promptly alerts the designated channel about any noteworthy events, such as an ImagePullBackOff error, ensuring timely awareness. Users can tailor the specific objects and event severity levels they wish to monitor from their Kubernetes clusters, with the flexibility to enable or disable notifications as needed. Furthermore, BotKube is capable of executing kubectl commands within the Kubernetes cluster without requiring access to Kubeconfig or the underlying infrastructure, enhancing security. With BotKube, you can easily troubleshoot your deployments, services, or any other aspects of your cluster directly from your messaging interface, fostering a more efficient workflow. The ability to receive instant updates and perform actions from a familiar messaging platform significantly streamlines the management of Kubernetes environments.