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ease
features
design
support

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Description

As the volume of traffic and user demands on your application grows, enhance its performance in a straightforward and economical way. Implementing a caching layer within your application architecture can efficiently manage thousands of concurrent users, providing near-instantaneous response times, all while leveraging the advantages of a fully managed service. Achieve remarkable throughput and performance capable of processing millions of requests per second with sub-millisecond latency. This fully managed service includes automatic updates, patching, scaling, and provisioning, allowing you to concentrate on development without distraction. Integration of modules like RedisBloom, RediSearch, and RedisTimeSeries empowers your application with comprehensive capabilities for data analysis, search functionality, and real-time streaming. You will benefit from robust features such as clustering, built-in replication, Redis on Flash, and an impressive availability rate of up to 99.99 percent, ensuring reliability. Furthermore, by complementing services like Azure SQL Database and Azure Cosmos DB, you can enhance your data tier's throughput scalability at a more economical rate compared to merely expanding database instances. Ultimately, these enhancements not only improve the user experience but also position your application for future growth and adaptability.

Description

Utilize Azure Virtual Machine Scale Sets to develop expansive services for batch processing, big data, and containerized workloads, allowing you to establish and oversee a collection of diverse load-balanced virtual machines (VMs). You can effortlessly adjust the quantity of VMs automatically in response to fluctuating demand or according to a predetermined schedule. This centralized management enables you to configure and update thousands of VMs while enhancing the availability and security of your applications. By leveraging availability zones and availability sets, you can further improve application uptime by systematically distributing VMs within a scale set across a single data center or multiple data centers. Scale sets support the operation of numerous VM instances for your application, ensuring that if one instance encounters an issue, your customers experience minimal service interruption. Additionally, Azure Virtual Machine Scale Sets offer robust service-level agreements (SLAs) for your VMs, guaranteeing up to 99.99 percent reliability. This level of assurance not only fosters user trust but also enhances the overall performance and resilience of your applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Azure Database for MariaDB
Azure Managed Redis
Microsoft Azure
Microsoft Intelligent Data Platform
New Relic
Redis
Suntek Reporting

Integrations

Azure Marketplace
Azure Database for MariaDB
Azure Managed Redis
Microsoft Azure
Microsoft Intelligent Data Platform
New Relic
Redis
Suntek Reporting

Pricing Details

$1.11 per month
Free Trial
Free Version

Pricing Details

$6.1320 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/cache/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/virtual-machine-scale-sets

Product Features

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

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