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It helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With this, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components.
437
entreprises
Nous disposons de données sur 437 entreprises qui utilisent AWS X-Ray. Notre liste de clients AWS X-Ray est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Truvity | Pays-Bas | Software Development | 23 | |
SPINVFX | Canada | Entertainment Providers | 280 | $10M |
The College Board | États-Unis | Education Administration Programs | 4.9K | $1.1B |
Project Plato | Pays-Bas | It Services And It Consulting | 16 | |
Flowbird | France | Software Development | 1K | $350M |
iptiQ by Swiss Re | Suisse | Insurance | 1K | $10M |
Federal Reserve Bank of Cleveland | États-Unis | Banking | 1.2K | $18M |
BrainFinance | Canada | Software Development | 67 | |
Flowbird France | France | Appliances, Electrical, And Electronics Manufacturing | 930 | $350M |
FLOWBIRD (Parkeon) | France | Software Development | 820 | $446M |
Effectual | États-Unis | It Services And It Consulting | 212 | $16M |
Vertical Relevance | États-Unis | Financial Services | 79 | $2.4M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
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AWS X-Ray est utilisé dans 28 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
AWS X-Ray is a powerful technology designed to help developers analyze and debug distributed applications. It provides an end-to-end view of requests as they travel through the various components of a microservices architecture, allowing for a deep understanding of performance bottlenecks and errors. With AWS X-Ray, users can trace requests, pinpoint latency issues, and identify dependencies between different services, ultimately leading to improved application performance and user experience.
In the category of Performance Monitoring, AWS X-Ray stands out as a comprehensive solution for monitoring and troubleshooting applications running on the AWS cloud. It offers detailed insights into the performance of individual components within a system, enabling developers to optimize resource usage and deliver more efficient services to end-users. By integrating seamlessly with other AWS services, AWS X-Ray provides a holistic view of an application's performance, making it an essential tool for maintaining high availability and reliability.
AWS X-Ray was founded by Amazon Web Services (AWS) in 2016 with the goal of providing developers with a robust tool for understanding the behavior of their applications in distributed environments. Motivated by the increasing complexity of modern cloud-based architectures, AWS X-Ray aimed to simplify the process of identifying and rectifying performance issues, ultimately enhancing the overall development experience for AWS users. Since its inception, AWS X-Ray has gained popularity among developers seeking to optimize their applications for superior performance and scalability.
As of the current market scenario, AWS X-Ray holds a significant market share within the Performance Monitoring category, with a growing trend expected to continue in the future. With the increasing adoption of microservices architectures and cloud-native technologies, the demand for advanced performance monitoring tools like AWS X-Ray is anticipated to rise. As more companies embrace distributed systems and strive for optimal application performance, AWS X-Ray is poised to maintain its market position and attract a broader user base looking to streamline their monitoring and debugging processes.
AWS X-Ray is a powerful tool used by companies to gain deep insights into the performance of their applications, enabling them to identify and troubleshoot bottlenecks efficiently. By leveraging AWS X-Ray, businesses can effectively monitor and optimize the performance of their applications, ultimately leading to improved user experience and increased operational efficiency.
AWS X-Ray provides detailed trace data, allowing companies to track requests as they travel through various services. This level of visibility enables businesses to pinpoint performance issues quickly and optimize their applications for enhanced efficiency. Unlike traditional monitoring tools, AWS X-Ray offers a comprehensive view of the entire application stack, making it easier to streamline processes and improve overall performance.
AWS X-Ray seamlessly integrates with various AWS services, simplifying the monitoring process for companies utilizing AWS infrastructure. This integration enables businesses to capture performance data across different services and gain valuable insights to enhance the overall performance of their applications. Unlike standalone monitoring tools, AWS X-Ray offers a cohesive monitoring solution tailored specifically for AWS environments.
AWS X-Ray enables companies to conduct in-depth root cause analysis by identifying the underlying factors contributing to performance issues. This granular level of analysis helps businesses understand the specific components impacting application performance, facilitating faster troubleshooting and resolution. Unlike conventional monitoring solutions, AWS X-Ray goes beyond surface-level data to provide actionable insights for comprehensive performance optimization.
In conclusion, companies benefit significantly from using AWS X-Ray for performance monitoring due to its advanced capabilities, seamless integration with AWS services, and robust root cause analysis features. By leveraging AWS X-Ray, businesses can effectively enhance the performance of their applications, streamline operations, and deliver exceptional user experiences.
Some well-known companies that use AWS X-Ray for performance monitoring include Airbnb, Netflix, and Expedia. These companies leverage AWS X-Ray to gain insights into their application performance, troubleshoot issues efficiently, and optimize their overall system.
Airbnb: Airbnb utilizes AWS X-Ray to monitor the performance of its booking platform, ensuring seamless user experiences for millions of customers worldwide. They started using AWS X-Ray in 2018 to track and analyze service performance metrics in real-time, allowing them to identify and address bottlenecks promptly.
Netflix: Netflix relies on AWS X-Ray to monitor the performance of its video streaming services, guaranteeing high-quality streaming experiences for its subscribers. Since 2016, Netflix has been leveraging AWS X-Ray to trace end-to-end request flows, optimize service latency, and enhance the overall streaming performance.
Expedia: Expedia implemented AWS X-Ray to monitor the performance of its online travel booking platform, optimizing response times and ensuring reliable service delivery. Beginning in 2017, Expedia uses AWS X-Ray to visualize and analyze the interactions between its microservices, enabling proactive performance optimization and seamless user experiences.
These case studies highlight how leading companies like Airbnb, Netflix, and Expedia leverage AWS X-Ray for performance monitoring to enhance their operational efficiency and deliver superior user experiences.
Vous pouvez accéder à une liste actualisée des entreprises utilisant AWS X-Ray en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 437 entreprises qui utilisent AWS X-Ray.
AWS X-Ray est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "Entertainment Providers", "Education Administration Programs", "It Services And It Consulting", "Software Development", "Insurance", "Banking", "Software Development", "Appliances, Electrical, And Electronics Manufacturing", "Software Development". Pour une liste complète de tous les secteurs utilisant AWS X-Ray, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent AWS X-Ray incluent Truvity, SPINVFX, The College Board, Project Plato, Flowbird, iptiQ by Swiss Re, Federal Reserve Bank of Cleveland, BrainFinance, Flowbird France, FLOWBIRD (Parkeon) et bien d'autres encore. Vous pouvez trouver une liste complète des 437 entreprises qui utilisent AWS X-Ray sur TheirStack.com.
Selon nos données, AWS X-Ray est le plus populaire dans États-Unis (216 companies), Royaume-Uni (20 companies), Inde (19 companies), Canada (17 companies), France (12 companies), Allemagne (10 companies), Australie (6 companies), Pays-Bas (5 companies), Singapour (3 companies), Espagne (3 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant AWS X-Ray en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.