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You can scale your applications on Google Compute Engine from zero to full-throttle with it, with no pre-warming needed. You can distribute your load-balanced compute resources in single or multiple regions, close to your users and to meet your high availability requirements.
56
entreprises
Nous disposons de données sur 56 entreprises qui utilisent Google Cloud Load Balancing. Notre liste de clients Google Cloud Load Balancing 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 |
---|---|---|---|---|
NinjaTrader | États-Unis | Financial Services | 298 | $7.5M |
TELUS International | Canada | It Services And It Consulting | 68K | $2.4B |
Grid Dynamics | États-Unis | It Services And It Consulting | 3.6K | |
Capital One | États-Unis | Financial Services | 56K | $36B |
Emonics LLC | États-Unis | Staffing And Recruiting | 1.1K | |
Ravian Maritime | Pakistan | Truck Transportation | 20 | |
CUSTOMER EXPERIENCE | Canada | Telecommunications | 53K | $17B |
Endeavour Group | Australie | Entertainment Providers | 5.3K | $6.4B |
Landis+Gyr | Suisse | Appliances, Electrical, And Electronics Manufacturing | 5K | $1.5B |
MC Engineering | Italie | It Services And It Consulting | 184 | |
Aspire Systems | Inde | It Services And It Consulting | 5.2K | $150M |
Bluetab, an IBM Company | Espagne | It Services And It Consulting | 1.1K | $50M |
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Inscrivez-vous et téléchargez la liste complète des 56 entreprises.
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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.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Google Cloud Load Balancing est utilisé dans 12 pays
Il y a 12 alternatives à Google Cloud Load Balancing
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.
Google Cloud Load Balancing is a robust technology offered by Google Cloud Platform that plays a crucial role in optimizing the performance and reliability of applications by distributing incoming network traffic across multiple backend instances. It serves as a critical component in ensuring the scalability and high availability of services hosted on Google Cloud by efficiently managing network resources and directing user requests to the most appropriate backend servers.
Load Balancers, also known as Reverse Proxies, are an essential tool in modern networking environments, where the demand for seamless user experiences and consistent application performance continues to rise. Google Cloud Load Balancing falls into this category, providing a scalable and efficient solution for balancing traffic across multiple virtual machines, containers, or services within a Google Cloud environment.
Founded as part of Google Cloud Platform's suite of networking services, Google Cloud Load Balancing was created to address the increasing need for reliable and high-performance load balancing solutions in cloud-based infrastructures. The technology was developed to offer users a seamless experience in managing network traffic and improving the overall performance of applications running on Google Cloud Platform.
In terms of current market share, Google Cloud Load Balancing holds a significant position within the competitive landscape of Load Balancer/Reverse Proxy technologies. With Google's strong presence in the cloud computing market and a growing user base, Google Cloud Load Balancing is poised to witness further expansion in the coming years. As more businesses transition towards cloud-native architectures and seek scalable networking solutions, the demand for efficient load balancers like Google Cloud Load Balancing is expected to continue to grow, solidifying its market share even further.
Companies utilize Google Cloud Load Balancing for efficient distribution of incoming network traffic across multiple backend instances, ensuring high availability and stability for their applications. This technology plays a crucial role in optimizing the performance of applications by evenly balancing the workload and minimizing latency.
Enhanced Scalability: Google Cloud Load Balancing offers dynamic scaling capabilities, automatically adjusting resources based on real-time demands. Unlike traditional load balancers, Google Cloud Load Balancing can seamlessly handle sudden spikes in traffic without manual intervention, ensuring continuous availability and smooth user experience.
Global Load Balancing: One standout feature of Google Cloud Load Balancing is its ability to intelligently distribute traffic across multiple regions worldwide. This ensures that users are always routed to the nearest available instance, minimizing latency and enhancing performance. Traditional load balancers may lack this global reach, leading to potential bottlenecks and slower response times.
Integrated Monitoring and Logging: Google Cloud Load Balancing comes integrated with robust monitoring and logging capabilities, providing real-time insights into traffic patterns and performance metrics. This proactive approach enables quick identification and resolution of potential issues, ensuring optimal application delivery. In contrast, traditional load balancers may require additional tools for comprehensive monitoring, resulting in a fragmented and less efficient monitoring process.
SSL Proxy and TCP Proxy Load Balancing: Google Cloud Load Balancing offers SSL Proxy and TCP Proxy load balancing options, allowing businesses to securely manage encrypted traffic and efficiently handle TCP-based applications. This flexibility ensures that applications running on these protocols are seamlessly supported, offering enhanced security and performance. Traditional load balancers may lack specialized support for SSL-offloading and TCP-based services, leading to potential security vulnerabilities and performance degradation.
In summary, Google Cloud Load Balancing provides a comprehensive and efficient solution for managing network traffic, offering enhanced scalability, global reach, integrated monitoring, and support for specialized protocols. By leveraging these advantages, companies can significantly improve the performance and reliability of their applications, making Google Cloud Load Balancing a preferred choice in the realm of load balancer/reverse proxy technologies.
Google Cloud Load Balancing is a popular choice among various companies to efficiently distribute incoming network traffic across multiple instances to ensure optimal utilization and reliability of applications. Some notable companies leveraging Google Cloud Load Balancing include Spotify, Twitter, and Shopify. Let's delve into a few case studies showcasing how these companies utilize this technology:
Spotify: Spotify, the leading music streaming platform, relies on Google Cloud Load Balancing to maintain high availability and performance for its vast user base. By distributing traffic seamlessly across backend services, Spotify ensures a smooth streaming experience for millions of users worldwide. The company implemented Google Cloud Load Balancing in 2017, significantly improving its application's scalability and resilience during peak usage hours.
Twitter: Twitter, the renowned social media platform, harnesses the power of Google Cloud Load Balancing to manage the massive influx of tweets, retweets, and interactions on its platform. Utilizing this technology since 2016, Twitter effectively balances the load across its infrastructure, ensuring real-time updates and seamless user experience. Google Cloud Load Balancing plays a crucial role in maintaining Twitter's operational efficiency and delivering tweets without delay.
Shopify: Shopify, a leading e-commerce platform, has integrated Google Cloud Load Balancing into its infrastructure to handle the fluctuating traffic volumes generated by online shopping activities. By efficiently distributing incoming requests to its web servers, Shopify ensures that storefronts remain accessible and responsive for merchants and customers alike. Since implementing Google Cloud Load Balancing in 2018, Shopify has experienced enhanced performance and minimal downtime during high-demand shopping seasons.
These case studies exemplify how prominent companies leverage Google Cloud Load Balancing to streamline their operations, improve user experiences, and maintain robust infrastructures capable of meeting dynamic demands. The proven success stories of Spotify, Twitter, and Shopify underscore the value and effectiveness of utilizing Google Cloud Load Balancing in managing load distribution efficiently.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Google Cloud Load Balancing 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 56 entreprises qui utilisent Google Cloud Load Balancing.
Google Cloud Load Balancing est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "Financial Services", "Staffing And Recruiting", "Truck Transportation", "Telecommunications", "Entertainment Providers", "Appliances, Electrical, And Electronics Manufacturing", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Google Cloud Load Balancing, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Google Cloud Load Balancing incluent NinjaTrader, TELUS International, Grid Dynamics, Capital One, Emonics LLC, Ravian Maritime, CUSTOMER EXPERIENCE, Endeavour Group, Landis+Gyr, MC Engineering et bien d'autres encore. Vous pouvez trouver une liste complète des 56 entreprises qui utilisent Google Cloud Load Balancing sur TheirStack.com.
Selon nos données, Google Cloud Load Balancing est le plus populaire dans États-Unis (23 companies), Canada (4 companies), Royaume-Uni (3 companies), Inde (2 companies), Suisse (2 companies), Australie (1 companies), France (1 companies), Allemagne (1 companies), Irlande (1 companies), Italie (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Google Cloud Load Balancing 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.