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Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
我们掌握了关于使用Apache Mesos的260家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
Houghton Mifflin Harcourt | 美国 | E-Learning Providers | 6K | $1.1B |
Capital One | 美国 | Financial Services | 56K | $36B |
![]() ServiceNow | 美国 | Software Development | 27K | $7.6B |
Verimi GmbH | 德国 | It Services And It Consulting | 110 | |
Verimi | 德国 | It Services And It Consulting | 74 | |
KPMG | 加拿大 | Accounting | 265K | $75M |
Comcentric | 美国 | Staffing And Recruiting | 54 | $6.4M |
![]() Zuora | 美国 | Software Development | 1.7K | $384M |
AHEAD | 美国 | It Services And It Consulting | 2.9K | $2.1B |
Avertium | 美国 | Computer And Network Security | 220 | $30M |
Getty Images | 美国 | Photography | 6.1K | $900M |
Intel | 美国 | Computer Hardware Manufacturing | 132K | $56B |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Apache Mesos 被用于 21 个国家
有 10 个 Apache Mesos 替代品
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Apache Mesos is a powerful open-source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It aims to abstract CPU, memory, storage, and other compute resources away from machines, enabling these resources to be shared across applications seamlessly. Mesos offers a highly scalable and fault-tolerant solution for managing large-scale cluster infrastructure.
Cluster Management is the category to which Apache Mesos belongs. Cluster Management involves the efficient allocation and management of computing resources across multiple machines to ensure optimal performance and resource utilization. Apache Mesos plays a crucial role in this category by offering a flexible and robust platform for deploying and managing diverse frameworks and applications in a distributed environment.
Apache Mesos was founded in 2009 by Benjamin Hindman, Matei Zaharia, and others at the University of California, Berkeley. The motivation behind the development of Mesos was to address the challenges of resource management and scalability in large-scale distributed systems. It was initially designed to improve the efficiency of data processing frameworks like Hadoop and MPI by providing a unified and abstracted view of cluster resources.
As of the latest data, Apache Mesos holds a notable market share within the Cluster Management category. With the increasing demand for scalable and efficient cluster management solutions, Mesos is poised to maintain its market presence and potentially grow in the future. Its robust features, active community support, and compatibility with various application frameworks make it a preferred choice for organizations aiming to streamline their cluster operations and enhance resource utilization.
Apache Mesos is a versatile and powerful cluster management technology utilized by companies for various reasons. With its ability to efficiently manage resources across distributed systems, Apache Mesos has become a popular choice among organizations looking to streamline their operations.
Apache Mesos offers outstanding scalability, allowing companies to easily scale their applications and services as needed. Unlike traditional solutions that may require manual intervention and complex configurations to scale, Mesos provides a flexible and automated way to expand resources seamlessly.
One of the key advantages of Apache Mesos is its resource efficiency. By dynamically sharing resources across applications and services, Mesos optimizes resource utilization, reducing wastage and overall costs. This efficient resource management sets Mesos apart from other cluster management technologies that may not offer such fine-grained control.
Apache Mesos boasts robust fault tolerance capabilities, ensuring high availability and reliability for critical workloads. Its fault tolerance mechanisms automatically handle failures and recover from errors without compromising system performance. This reliability makes Mesos a preferred choice for companies requiring resilient cluster management solutions.
Mesos excels in intelligent task scheduling, enabling companies to prioritize and allocate tasks based on specific requirements and constraints. Its advanced scheduling algorithms optimize task distribution, resulting in improved performance and reduced latency compared to conventional scheduling methods. This fine-grained control over task scheduling distinguishes Mesos as a sophisticated cluster management technology.
Another significant benefit of Apache Mesos is its seamless integration with a wide range of frameworks and tools. Companies can easily integrate Mesos into their existing infrastructure, leveraging its compatibility with various applications and services. This interoperability sets Mesos apart from other cluster management platforms that may have limited integration capabilities.
In conclusion, Apache Mesos stands out as a preferred choice for companies seeking a robust, scalable, and resource-efficient cluster management solution. Its unique features and benefits make it a valuable technology for optimizing resource utilization, enhancing fault tolerance, and streamlining task scheduling across distributed systems.
Apache Mesos is a popular choice for companies looking to streamline their cluster management processes. Several well-known companies have successfully implemented Apache Mesos to enhance their data center efficiency and reliability. Here are a few case studies showcasing how Apache Mesos has been leveraged by real companies:
Twitter: Twitter is one of the early adopters of Apache Mesos. The company uses Mesos to dynamically manage resources across thousands of servers in their data centers. Twitter started using Mesos in 2011 to improve the scalability and reliability of their microservices architecture. By leveraging Mesos, Twitter has been able to achieve better resource utilization, faster deployment times, and improved fault tolerance in their infrastructure.
Airbnb: Airbnb relies on Apache Mesos to power its data processing and analytics workflows. The company utilizes Mesos for resource isolation and allocation, allowing different teams to run diverse workloads efficiently. Airbnb began using Mesos in 2014 to address the growing complexity of its infrastructure and the need for a scalable cluster management solution. With Mesos, Airbnb has achieved higher utilization rates, reduced operational overhead, and increased flexibility in managing its data pipelines.
Apple: Apple is another prominent user of Apache Mesos for its cluster management needs. The tech giant employs Mesos to orchestrate containerized applications and services across its massive infrastructure. Apple integrated Mesos into its environment in 2016 to simplify the deployment and scaling of applications on its private cloud. By adopting Mesos, Apple has streamlined resource allocation, enhanced application performance, and optimized resource utilization across its data centers.
These case studies highlight the diverse applications of Apache Mesos in addressing the complex cluster management requirements of industry-leading companies like Twitter, Airbnb, and Apple. By embracing Mesos, these organizations have been able to unlock new levels of operational efficiency, scalability, and resilience in their IT infrastructures.
您可以访问 TheirStack.com,获取使用 Apache Mesos 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 260 家使用 Apache Mesos 的公司的数据。
Apache Mesos 被广泛应用于包括 "E-Learning Providers", "Financial Services", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Accounting", "Staffing And Recruiting", "Software Development", "It Services And It Consulting", "Computer And Network Security" 在内的各个行业的各种组织中。欲了解所有使用 Apache Mesos 的行业的完整列表,请访问 TheirStack.com。
一些使用Apache Mesos的公司包括Houghton Mifflin Harcourt, Capital One, ServiceNow, Verimi GmbH, Verimi, KPMG, Comcentric, Zuora, AHEAD, Avertium以及更多公司。您可以在TheirStack.com上找到使用Apache Mesos的260家公司完整列表。
根据我们的数据,Apache Mesos 在 美国 (136 companies), 英国 (13 companies), 法国 (9 companies), 印度 (9 companies), 加拿大 (7 companies), 德国 (4 companies), 巴西 (3 companies), 澳大利亚 (2 companies), 爱尔兰 (2 companies), 瑞士 (2 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Apache Mesos,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。