Google Distributed Cloud Description
Google Distributed Cloud encompasses a comprehensive suite of managed hardware and software offerings that expand Google Cloud’s capabilities to both edge locations and on-premises data centers. Powered by Anthos, this solution is particularly suited for local data processing, edge computing, and modernization of on-site infrastructure, while also addressing strict requirements for data sovereignty, security, and privacy. With the advantages of Google’s advanced AI, data analytics, and database solutions, users can gain valuable insights and overcome traditional limitations related to scale, performance, and costs when handling data, regardless of its location. You can sustain control and independence over your infrastructure and data, ensuring compliance with stringent regulations, all the while leveraging cloud-native services tailored to your specific environment. This flexibility allows organizations to innovate rapidly while maintaining the highest standards of data management and security.
Google Distributed Cloud Alternatives
Dragonfly
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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Kamatera
Our comprehensive suite of cloud services allows you to build your cloud server your way. Kamatera’s infrastructure is specialized in VPS hosting. With 24 data centers around the world, including 8 in the US, as well as in Europe, Asia and the Middle East, you can choose from.
Our enterprise-grade cloud server can meet your requirements at any stage. We use cutting edge hardware, including Ice Lake Processors, NVMe SSDs, and other components, to deliver consistent performance and 99.95% uptime.
With a robust service such as ours, you'll get a lot of great features like fantastic hardware, flexible cloud setup, Windows server hosting, fully managed hosting and data security. We also offer consultation, server migration and disaster recovery.
We have a 24/7 live support team to assist you in all time zones.
With our flexible and predictable pricing plans, you only pay for the services you use.
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Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Company Details
Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
cloud.google.com/distributed-cloud
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