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Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
260
Unternehmen
Wir haben Daten zu 260 Unternehmen, die Apache Mesos verwenden. Unsere Apache Mesos Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Houghton Mifflin Harcourt | Vereinigte Staaten | E-Learning Providers | 6K | $1.1B |
Capital One | Vereinigte Staaten | Financial Services | 56K | $36B |
![]() ServiceNow | Vereinigte Staaten | Software Development | 27K | $7.6B |
Verimi GmbH | Deutschland | It Services And It Consulting | 110 | |
Verimi | Deutschland | It Services And It Consulting | 74 | |
KPMG | Kanada | Accounting | 265K | $75M |
Comcentric | Vereinigte Staaten | Staffing And Recruiting | 54 | $6.4M |
![]() Zuora | Vereinigte Staaten | Software Development | 1.7K | $384M |
AHEAD | Vereinigte Staaten | It Services And It Consulting | 2.9K | $2.1B |
Avertium | Vereinigte Staaten | Computer And Network Security | 220 | $30M |
Getty Images | Vereinigte Staaten | Photography | 6.1K | $900M |
Intel | Vereinigte Staaten | Computer Hardware Manufacturing | 132K | $56B |
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Apache Mesos wird in 21 Ländern verwendet
Es gibt 10 Alternativen zu Apache Mesos
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
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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.
Sie können eine aktuelle Liste von Unternehmen, die Apache Mesos verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 260 Unternehmen, die Apache Mesos verwenden.
Apache Mesos wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die Apache Mesos nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Apache Mesos verwenden, umfassen Houghton Mifflin Harcourt, Capital One, ServiceNow, Verimi GmbH, Verimi, KPMG, Comcentric, Zuora, AHEAD, Avertium und viele mehr. Sie können eine vollständige Liste von 260 Unternehmen, die Apache Mesos nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Apache Mesos am beliebtesten in Vereinigte Staaten (136 companies), Vereinigtes Königreich (13 companies), Frankreich (9 companies), Indien (9 companies), Kanada (7 companies), Deutschland (4 companies), Brasilien (3 companies), Australien (2 companies), Irland (2 companies), Schweiz (2 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Apache Mesos verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.