Amazon Web Services, Inc. (AWS), while at AWS Summit San Francisco,
announced the general availability of 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 fine-grained increments based on an application's
needs, providing customers up to 90% cost savings compared to
provisioning database capacity for peak load. Amazon Aurora Serverless
v2 also includes Amazon Aurora's capabilities for high availability,
performance, and resiliency, with low latency and fast querying. There
are no upfront commitments or additional costs to use Amazon Aurora
Serverless v2, and customers only pay for the database capacity used. To
get started with Amazon Aurora Serverless v2, visit aws.amazon.com/aurora/serverless.
Customers
often face a dilemma when managing database capacity-provision too much
and overspend, or underestimate capacity needs and risk application
downtime. Since launching 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, like test and development workloads. V1 of Amazon
Aurora Serverless scales database capacity within five to 50 seconds by
doubling capacity each time it is needed-and because it is
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 capacity to scale in fractions
of a second and in more precise increments. These customers also want to
take advantage of the full range of Amazon Aurora's capabilities.
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 every time a workload must scale, Amazon Aurora Serverless v2
continuously monitors database activity and adjusts capacity in
fine-grained increments to provide just the right amount of database
resources an application needs. With Amazon Aurora Serverless v2,
customers only pay for the capacity they consume, which can save up to
90% of database costs when compared to the cost of provisioning for peak
capacity. Amazon Aurora Serverless v2 also provides the full breadth of
Amazon Aurora's capabilities, including using multiple AWS Availability
Zones for high availability, Global Database for local reads with low
latency, Read Replicas for high performance, and Parallel Query for
faster querying. As a result, 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 must manage capacity across their entire fleet of
databases, as well as software as a service (SaaS) vendors that have
multi-tenant environments with hundreds of thousands of databases that
each support a different customer.
"Amazon
Aurora is the first relational database built from the ground up for
the cloud. Today, more than a hundred thousand customers choose to run
their database workloads on Amazon Aurora because it delivers the
performance and availability of the highest-grade commercial databases
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 is now even easier for
customers to leave the constraints of old-guard databases behind and
enjoy the immense cost savings of scalable, on-demand capacity with all
of the advanced capabilities in 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 additional AWS Regions coming soon.
3M
is one of the world's largest providers of software for the health care
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 take huge steps toward this goal by automatically
scaling database resources based on our business needs, enabling us to
spend less time managing database capacity and more time solving
customer challenges."
SmugMug
is a paid image sharing service, image hosting service, and online
video platform on which users can upload photos and videos. The company
facilitates the sale of digital and print media for amateur and
professional photographers. "As the world's largest photographer-focused
community, SmugMug is built on AWS to provide our customers with a
secure, fast, and reliable service to store, share, and sell their
photography," said Don MacAskill, CEO & Chief Geek of SmugMug. "With
Amazon Aurora Serverless v2, we can innovate more with the fine-grained
scalability that removes the overhead of peak capacity planning-and the
associated costs of paying for more than we need, saving our customers
money while accelerating performance."
Pagely
is a leading managed WordPress hosting platform. "Managing database
capacity with spiky and unpredictable workloads is a challenging and
resource-intensive task," said Joshua Eichorn, Chief Technology Officer
at Pagely. "With Amazon Aurora Serverless v2, that task is much simpler.
We no longer need to worry about fluctuating and unpredictable
workloads-database capacity scales automatically by just the right
amount to meet demand, keeping up with any spike regardless of size, and
scaling down when demand decreases, to minimize costs."
UJET
offers an all-in-one cloud contact center platform, developed
specifically to transform customer experience for the digital economy
and smartphone era. "Because our workloads can vary drastically based on
the time of the day, we either need to constantly adjust database
capacity or over-provision for peak usage," said Dave Bullock, Vice
President of Engineering at UJET. "Amazon Aurora Serverless v2 scales to
just the right amount of capacity on demand to support our workload
needs, helping us save cost 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, Associate Chief
Information Officer at MCCCD. "Amazon Aurora Serverless v2 can help us
optimize costs, automate maintenance and patching, and ensure high
availability across our district. We are building 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 decrease 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."