Amazon Web Services has released Amazon Aurora Serverless v2, the next generation of Amazon Aurora Serverless that automatically scales to hundreds of thousands of transactions in a fraction of a second to support even the most demanding applications.
Amazon Aurora Serverless v2 scales capacity in precise increments based on an application’s needs, providing customers with up to 90% cost savings compared to provisioning database capacity for peak loads. Amazon Aurora Serverless v2 also includes Amazon Aurora features for high availability, performance, and resiliency with low latency and fast queries. There are no upfront commitments or additional costs to use Amazon Aurora Serverless v2, and customers only pay for the database capacity used.
Customers often face a dilemma when managing database capacity: over-provision and spend too much, or underestimate capacity needs and risk application downtime. Since its launch in 2018, Amazon Aurora Serverless has been used by tens of thousands of customers as a cost-effective database option for applications that have infrequent, intermittent, or unpredictable traffic, such as test and development workloads .
Amazon Aurora Serverless V1 scales database capacity in five to 50 seconds by doubling the capacity whenever needed. And because it’s serverless, customers don’t have to worry about managing database capacity. However, to run a wider variety of production workloads with Amazon Aurora Serverless, customers need the ability to scale in fractions of a second and in finer increments. These customers also want to take advantage of the full range of Amazon Aurora features.
Amazon Aurora Serverless v2 automatically scales database workloads to hundreds of thousands of transactions in a fraction of a second to support even the most demanding applications. Instead of doubling capacity each time a workload needs to scale, Amazon Aurora Serverless v2 continuously monitors database activity and adjusts capacity in precise increments to provide just the right amount of core resources data that an application needs. With Amazon Aurora Serverless v2, customers only pay for the capacity they consume, saving up to 90% in database costs compared to the cost of provisioning for peak capacity.
Amazon Aurora Serverless v2 also provides the full Amazon Aurora feature set, including using multiple AWS Availability Zones for high availability, Global Database for low latency local reads, Read Replicas for high performance and parallel query for faster queries. Therefore, Amazon Aurora Serverless v2 is ideal for a much broader set of applications. For example, Amazon Aurora Serverless v2 can now support enterprises that have hundreds of thousands of applications and need to manage the capacity of their entire database fleet, as well as software-as-a-service vendors (SaaS) that have multi-tenant environments with hundreds of thousands of databases that each support a different client.
“Amazon Aurora is the first relational database built entirely for the cloud. Today, more than one hundred thousand customers choose to run their database workloads on Amazon Aurora because it delivers the highest quality commercial database performance and availability at one-tenth the cost,” said Swami Sivasubramanian, vice president of databases, analytics, and machine learning at AWS. “With the next generation of Amazon Aurora Serverless, it’s now even easier for customers to leave the constraints of legacy databases behind and enjoy the immense cost savings of on-demand scaling capacity with all the advanced features of Amazon Aurora. ”
Amazon Aurora Serverless v2 is generally available today for MySQL and PostgreSQL compatible editions of Amazon Aurora in US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia-Pacific (Hong Kong), Asia-Pacific (Mumbai), Asia-Pacific (Seoul), Asia-Pacific (Singapore), Asia-Pacific (Sydney), Asia-Pacific (Tokyo), Canada (Central), Europe ( Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo), with availability in other AWS Regions to come.
3M is one of the world’s largest providers of software for the healthcare industry. “At 3M, we are committed to empowering clinicians, providers and payers by reducing the administrative burden of technology,” said Dhanraj Shriyan, enterprise data architect at 3M. “Amazon Aurora Serverless v2 helps us make tremendous progress toward this goal by automatically scaling database resources based on our business needs, allowing us to spend less time managing database capacity. data and more time solving customer problems.
SmugMug is a paid image sharing service, image hosting service and online video platform where users can upload photos and videos. The company facilitates the sale of digital and printed media for amateur and professional photographers. “As the largest photographer-centric community in the world, SmugMug relies on AWS to provide our customers with a secure, fast, and reliable service to store, share, and sell their photographs,” said Don MacAskill, CEO and Chief SmugMug Geek. “With Amazon Aurora Serverless v2, we can innovate more with fine-grained scaling that removes the overhead of peak capacity planning and the associated costs of paying more than we need, enabling our customers to save money while accelerating performance.”
Pagely is a leading managed WordPress hosting platform. “Managing database capacity with sporadic and unpredictable workloads is a difficult and resource-intensive task,” said Joshua Eichorn, chief technology officer at Pagely. “With Amazon Aurora Serverless v2, this task is much easier. We no longer have to worry about fluctuating and unpredictable workloads: database capacity automatically scales just enough to meet demand, adapts to any peak regardless of size and shrinks when demand decreases, in order to minimize costs. »
UJET offers an all-in-one cloud contact center platform, developed specifically to transform the customer experience in the age of the digital economy and smartphones. “Because our workloads can vary dramatically depending on the time of day, we must either constantly adjust database capacity or over-provision for peaks in usage,” said Dave Bullock, VP president of engineering at UJET. “Amazon Aurora Serverless v2 scales to the right amount of on-demand capacity to support our workload needs, helping us reduce costs without compromising customer experience.
The Maricopa County Community College District (MCCCD) is one of the largest community college districts in the United States. “At MCCCD, we work hard to ensure that high-quality education is accessible and affordable for all of our students,” said Joseph Licata, Deputy Chief Information Officer at MCCCD.
“Amazon Aurora Serverless v2 can help us optimize costs, automate maintenance and patching, and ensure high availability in our district. We are developing exciting new student support technology tools specifically designed to take advantage of these serverless capabilities to solve problems with fewer technical resources. By applying patches and maintenance quickly and automatically, we also reduce our threat surface by ensuring our environment is up-to-date, freeing up our team to focus on delivering transformational technology solutions that improve the student experience.