Amazon launched three serverless database and analytics innovations to help clients build their data infrastructure faster and easier for their most demanding use cases. By automatically exceeding write constraints, Amazon Aurora Limitless Database simplifies application scaling and saves developers months over custom solutions.
Amazon ElastiCache Serverless makes clients’ most demanding applications highly available, scalable vertically and horizontally in under a minute without infrastructure administration. Amazon Redshift Serverless AI predicts workloads, scales, and price-optimizes resources. AWS’s advanced serverless solutions simplify operations and handle data at any scale to focus on end-user innovation. Visit aws.amazon.com/data to learn how AWS values data.
Dr. Swami Sivasubramanian, AWS Data and AI vice president, thinks data boosts digital potential. Serverless database and analytics services from AWS handle clients’ most demanding workloads due to dynamic data. Serverless solutions allow organizations to process millions of transactions per second, rapidly expand capacity, and optimize workloads for speed and cost.”
Companies store petabytes of multi-source data. These organizations need an end-to-end strategy to evaluate and manage data at any scale to maximize value. The Aurora relational database, ElastiCache in-memory cache, and Redshift data warehousing power many AWS customers’ important applications and data-driven decisions. Service simplifies database and analytics management for UX. Lambda and serverless S3 simplify client work. The most serverless data analytics from AWS simplifies autonomous provisioning, on-demand scalability, and pay-for-use pricing. These results show AWS’s serverless database and analytics capabilities, cutting costs and data value.
Amazon Aurora Limitless Database lets petabyte programs write millions/second
Amazon Aurora offers a 10% discount on fully maintained MySQL- and PostgreSQL-compatible relational databases to hundreds of thousands of customers. Hundreds of thousands of transactions per second power these apps using Amazon Aurora Serverless v2. With fine-grained capacity shift, the application scales with the right database resources.
Gaming and finance require hundreds of millions of people, transactions, and petabytes! To scale horizontally, these organizations must split data into smaller subsets and distribute them across multiple database instances through “sharding,” which requires months or years of developer effort to build custom software that routes requests to the correct instance or makes changes across multiple instances. Database capacity management requires time and resources. Create a table column, back up all compute instances, upgrade and patch, and adjust and balance instance demand. Maintenance must be coordinated by organizations. Companies need automatic scaling beyond one database without scaling technology.
Amazon Aurora Limitless Database handles petabytes and millions/second writes. A customer’s data model controls how Amazon Aurora Limitless Database distributes data and queries among serverless machines without software. Amazon Aurora Limitless Database scales resources vertically within serverless instances and horizontally across instances to improve workload performance and save clients months or years of software development. Maintenance and adjustments in one database can be automatically dispersed across instances, eliminating the need to manually manage common procedures across dozens or hundreds of databases.
Amazon ElastiCache Serverless deploys and grows cache faster and easier to meet application demand without provisioning, planning, or monitoring capacity
Developers cache frequently used data to speed up answers and lower database costs. These clients use open-source, in-memory Redis and Memcached for performance and scalability. For hundreds of thousands of clients demanding real-time, cost-optimized performance, AWS ElastiCache simplifies cache building and running. Amazon ElastiCache lets companies run mission-critical applications across multiple Availability Zones with hundreds of terabytes of data and hundreds of millions of operations per second at microsecond response times.
Amazon ElastiCache’s fine-grained customization options are popular, but some companies developing new applications or moving workloads prefer to start without constructing and supplying cache infrastructure, which requires experience and application traffic pattern knowledge. Businesses must monitor and scale capacity or overprovision peak capacity, raising costs, to thrive. They need infrastructure management to install and run cache faster.
Monitoring a cache’s compute, memory, and network use and scaling vertically and horizontally to meet demand without downtime or performance degradation, Amazon ElastiCache Serverless avoids capacity planning. Customers can construct a highly available cache in under a minute without infrastructure or configuration.
Next-generation Amazon Redshift Serverless AI-driven scaling and optimizations improve variable workload price-performance
Daily, Amazon Redshift handles exabytes of data for tens of thousands of clients. Multiple client requests increase Amazon Redshift Serverless data warehouse capacity. Customer prefer executing analytical workloads of various sizes on Amazon Redshift Serverless without managing data warehouse architecture, but they would gain more from adapting to job parameters such data volume and query complexity to maximize speed and cost. Dashboarding companies with predictable workloads may need more data and better searches for regulatory reporting.
An professional database administrator may spend hours shifting the new burden to a separate data warehouse or making multiple, complex manual adjustments to handle workload swings across all dimensions without disrupting existing workloads. This requires temporarily increasing data input and new query workload resources, pre-computing results for fast access, organizing data for efficient retrieval, and timing data warehouse management tasks. Every company’s performance and cost needs necessitate regular modifications to data volume, query complexity, and concurrent queries.
AI-optimized Price-effective Serverless Amazon Redshift scales job-dimensional resources. AI optimizes Amazon Redshift Serverless capacity to price-performance requirements based on query difficulty, data quantity, and frequency. In Amazon Redshift Serverless, client workload is forecast and resources adjusted. AWS Redshift Serverless with AI-driven scalability and optimizations dynamically reduces dashboard workload capacity over the day and boosts it for complex queries. For huge data volumes, Amazon Redshift Serverless scales overnight. Cost-benefit analysis and resource auto-tuning optimize Amazon Redshift Serverless apps. The AWS Console lets consumers choose between cost and performance.
ElastiCache enables Genesys’ all-in-one cloud platform, connecting millions of customers everyday. Amazon ElastiCache Serverless should speed up.
Serverless Amazon ElastiCache creates caches in under a minute without infrastructure, configuration, or capacity planning.
Peloton memberships and equipment help people worldwide exercise. “They collect and process data, from hardware sales to instructor trends and user workout data, to create and refine business decisions for better customer experiences,” said Data Engineering director Jerry Wang. As they will see, advanced analytical workloads require his database managers to manually tune capacity and databases. Amazon Redshift Serverless optimizations reduce data warehouse admin expenses and enhance productivity.
Digital engineering firm Quantiphi wants change. Sanchit Jain, the Q&A CEO, “Quantiphi provides tailored data analytics and machine learning solutions for his customers, and Amazon Redshift is his data warehouse foundation.” They want an affordable, effective solution. Past query results suggest Amazon Redshift Serverless’ AI-driven scalability and optimizations would make his solution adaptive, intelligent, autonomous, and cost-effective. AWS makes data volume growth affordable.”
IoT devices enhance product value and simplify partner and customer lives on Tuya Smart’s cloud platform. “Tuya’s IoT Developer Platform has over 846,000 registered developers from over 200 countries, serving more than 7,600 enterprises with Tuya IoT solutions,” stated Chong Chen, Tuya Smart’s Data Infrastructure chief After five years using Amazon Aurora and other AWS databases, massive write demands prompted them to design their own sharding and proxy solution. They like that Amazon Aurora Limitless Database can increase write throughput to accommodate his growing customer base and give a consistent, smooth, and efficient response without a self-managed solution.