New Amazon Aurora capability automatically scales to millions of write transactions per second and manages petabytes of data while maintaining the simplicity of operating a single database

New serverless option for Amazon ElastiCache makes it faster and easier to create highly available caches and instantly scales to meet application demand

New Amazon Redshift Serverless capability uses AI to predict workloads and automatically scale and optimize to meet price-performance targets

Genesys, MIO Partners, Peloton, Quantiphi, and Tuya Smart among customers and partners using these new serverless innovations

At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, today announced three new serverless innovations across its database and analytics portfolio that make it faster and easier for customers to scale their data infrastructure to support their most demanding use cases. Today’s announcement introduces Amazon Aurora Limitless Database, a new capability that automatically scales beyond the write limits of a single Amazon Aurora database, making it easy for developers to scale their applications and saving them months compared to building custom solutions. Additionally, Amazon ElastiCache Serverless helps customers create highly available caches in under a minute and instantly scales vertically and horizontally to support customers’ most demanding applications, without needing to manage the infrastructure. AWS is also releasing a new Amazon Redshift Serverless capability that uses artificial intelligence (AI) to predict workloads and automatically scale and optimize resources to help customers meet their price-performance targets. These announcements build on AWS’s pioneering work with serverless technologies to help customers manage data at any scale and dramatically simplify their operations, so they can focus on innovating for their end users—without spending time and effort provisioning, managing, and scaling their data infrastructure.

“Since its earliest days, AWS has focused on removing undifferentiated heavy lifting for customers, and we have continued to build on that legacy through serverless offerings that dramatically simplify what it takes to build, run, and manage applications at scale," said Dr. Swami Sivasubramanian, vice president of Data and Artificial Intelligence at AWS. "Data is the cornerstone of every organization's digital transformation, and harnessing data to its full potential requires an end-to-end strategy that can scale with a customer’s needs while accommodating all types of use cases. The dynamic nature of data makes it perfectly suited to serverless technologies, which is why AWS offers a broad range of serverless database and analytics offerings that help support our customers' most demanding workloads. The new serverless innovations announced today build on this foundation to make it easier for customers to scale to millions of transactions per second, quickly add capacity at a moment’s notice, and dynamically adapt workload patterns to optimize for performance and cost."

Organizations create and store petabytes of data from a growing number of sources. To get the most value out of this data, these companies need an end-to-end strategy that can help them analyze and manage the data at any scale. Many AWS customers are already using a wide variety of purpose-built data services to support their most critical applications and make data-driven decisions, including Amazon Aurora for relational databases, Amazon ElastiCache for running in-memory caches, and Amazon Redshift for data warehousing. These services remove much of the heavy lifting that customers have to go through if they run their own database and analytics solutions, allowing them to focus on creating differentiated experiences for their end users. AWS continues to simplify operations for customers by releasing serverless technologies across its service portfolio, from some of AWS’s earliest offerings like Amazon Simple Storage Service (Amazon S3) to pioneering serverless, event-driven computing with AWS Lambda. Today, AWS offers the broadest set of serverless data analytics offerings in the cloud, making it easy for customers to take advantage of benefits like automatic provisioning, on-demand scaling, and pay-for-use pricing while using the right tool for the job. The new innovations announced today further AWS’s commitment to reimagining its database and analytics portfolio through serverless technologies, by making it even easier for customers to optimize costs and maximize their data’s value.

Amazon Aurora Limitless Database powers petabyte-scale applications with millions of writes per second

Today, hundreds of thousands of customers use Amazon Aurora, a fully managed MySQL- and PostgreSQL-compatible relational database that provides the performance and availability of commercial databases at up to one-tenth the cost. These organizations rely on Amazon Aurora Serverless v2 to power their applications because it is capable of scaling to support hundreds of thousands of transactions in a fraction of a second. As it scales, it adjusts capacity up and down in fine-grained increments to provide the right amount of database resources for the application. However, there are some use cases, such as online gaming and financial transaction processing, with workloads that need to process and manage hundreds of millions of global users, handle millions of transactions, and store petabytes of data. Today, these organizations must scale horizontally by splitting data into smaller subsets and distributing them across multiple distinct database instances in a process known as “sharding,” which requires months—or even years—of upfront developer effort to build custom software that routes requests to the correct instance or makes changes across multiple instances. Organizations also need to continuously monitor database activity and adjust capacity, which can be time-consuming and impact availability. The ongoing maintenance effort for these workloads is high, as organizations need to coordinate routine maintenance operations—such as adding a column to a table, taking consistent backups across all compute instances, or applying upgrades and patches—and constantly tune and balance the load across multiple instances. As a result, organizations need ways to automatically scale their applications beyond the limits of a single database without spending time building their scaling solutions.

Amazon Aurora Limitless Database scales to millions of write transactions per second and manages petabytes of data while maintaining the simplicity of operating inside a single database. Amazon Aurora Limitless Database automatically distributes data and queries across multiple Amazon Aurora Serverless instances based on a customer’s data model, eliminating the need to build custom software to route requests across instances. As compute or storage requirements increase, Amazon Aurora Limitless Database automatically scales resources vertically within serverless instances and horizontally across instances to meet workload demand, providing customers with consistently high performance while saving them months or years of effort in building custom software to scale their databases. Maintenance operations and changes can be made in a single database and automatically applied across instances, eliminating the need for managing routine tasks across dozens, or even hundreds, of database instances manually.

Amazon ElastiCache Serverless makes it faster and easier to create a cache and instantly scale to meet application demand—without needing to provision, plan for, or manage capacity

Organizations building applications store frequently accessed data in caches to improve application response times and reduce database costs. These customers use open source, in-memory data stores like Redis and Memcached for caching because of their high performance and scalability. To simplify the process of building and running a cache, AWS offers Amazon ElastiCache, a fully managed Redis- and Memcached-compatible service that is used by hundreds of thousands of customers today for real-time, cost-optimized performance. Today, Amazon ElastiCache scales to hundreds of terabytes of data and hundreds of millions of operations per second with microsecond response times, and organizations use it to deploy highly available, mission-critical applications across multiple Availability Zones. While many organizations appreciate the fine-grained configuration options Amazon ElastiCache offers, some companies building a new application or migrating existing workloads want to get started quickly without designing and provisioning cache infrastructure, a process that requires specialized expertise and deep familiarity with application traffic patterns. Organizations also need to constantly monitor and scale their capacity to maintain consistently high performance, or overprovision for peak capacity, which results in excess costs. As a result, they need a solution that can help them manage the underlying infrastructure, making it faster and easier to create and operate a cache.

With Amazon ElastiCache Serverless, customers can now create a highly available cache in under a minute without infrastructure provisioning or configuration. Amazon ElastiCache Serverless eliminates the complex, time-consuming process of capacity planning by continuously monitoring a cache’s compute, memory, and network utilization and instantly scaling vertically and horizontally to meet demand without downtime or performance degradation. With Amazon ElastiCache Serverless, customers no longer need to rightsize or fine-tune their caches. Amazon ElastiCache Serverless automatically replicates data across multiple Availability Zones and provides customers with 99.99% availability for all workloads. Customers only pay for the data they store and the compute their application uses. Amazon ElastiCache Serverless is generally available today for both Redis- and Memcached-compatible deployment options.

Next-generation, AI-driven scaling and optimizations in Amazon Redshift Serverless deliver better price-performance for variable workloads

Tens of thousands of customers collectively process exabytes of data with Amazon Redshift every day. Many of these customers rely on Amazon Redshift Serverless, which automatically provisions and scales data warehouse capacity to meet demand based on the number of concurrent queries. While customers enjoy the ease of running analytics workloads of all sizes on Amazon Redshift Serverless without needing to manage data warehouse infrastructure, they would benefit further from the ability to easily adapt to changes in their workloads along additional dimensions, such as the amount of data or query complexity, to achieve consistently high performance while optimizing cost. For example, an organization with normally predictable dashboarding workloads may find that a new regulatory reporting requirement means they need to ingest substantially more data and handle more intensive, complex queries. To address workload changes along all dimensions, while ensuring consistent performance and without disrupting existing workloads, an experienced database administrator would have to spend hours separating the additional workload to a different data warehouse or making multiple, complex manual adjustments. This includes temporarily increasing the resources for data ingestion and new query workloads, pre-computing results for quick data access, organizing data for efficient retrieval, and timing data warehouse management tasks. All of these optimizations need to be done continuously, while managing each individual organization’s priorities for balancing performance and cost, regardless of changes in data volume, query complexity, or more concurrent queries.

With the new AI-driven scaling and optimizations, Amazon Redshift Serverless automatically scales resources up and down across multiple workload dimensions and performs optimizations to meet price-performance targets. Amazon Redshift Serverless uses AI to learn customer workload patterns along dimensions such as query complexity, data size, and frequency and continuously adjusts capacity based on those dynamic patterns to meet customer-specified, price-performance targets. Amazon Redshift Serverless now also proactively adjusts resources based on those customer workload patterns. For example, Amazon Redshift Serverless with AI-driven scaling and optimizations automatically lowers capacity during the day to handle dashboard workloads, but adds just the right amount of required capacity on demand whenever a complex query needs to be processed. Then overnight, Amazon Redshift Serverless proactively increases capacity again to support large data processing tasks without manual intervention. Building on existing self-tuning capabilities, Amazon Redshift Serverless automatically measures and adjusts resources and conducts a cost-benefit analysis to prioritize the best optimization for a given workload. Customers can set their own price-performance targets in the AWS Console, choosing to optimize between cost and performance. Amazon Redshift Serverless with AI-driven scaling and optimizations is available in preview.

Genesys is a leader in AI-powered experience orchestration that helps organizations engage with customers across any channel and empowers employees in the contact center and beyond. “At Genesys, we use Amazon ElastiCache to power high-throughput, low-latency storage for our all-in-one cloud platform, enabling millions of customer interactions per day,” said Rob Gevers, chief architect at Genesys. “We expect Amazon ElastiCache Serverless to help us improve performance and efficiency by eliminating the need to provision instances and choose specific configuration settings and scaling. With Amazon ElastiCache Serverless, we can remove administrative overhead and offer a significant leap in stability while providing the scalability we need to handle our growing usage and variable workloads.”

MIO Partners, Inc. is a global investment and advisory institution. “Our developers spend significant time evaluating usage, configuring node types, and designing cluster topologies to set up and configure cache capacity,” said Anand Mishra, chief technology officer at MIO Partners. “With Amazon ElastiCache Serverless, we can create a cache in less than a minute without any infrastructure provisioning, configuration, or capacity planning. Amazon ElastiCache Serverless eliminates the need for time-consuming capacity planning, improving our cost efficiencies and providing us with better operational reliability. Now, we can redeploy the team of engineers who were previously engaged in managing Redis to projects that deliver higher value for our clients.”

Peloton aims to help people around the world reach their fitness goals through its connected fitness equipment and subscription-based classes. "At Peloton, we collect and process a variety of data, ranging from hardware sales to instructor trends and user workout data, to create and refine our business decisions for better customer experiences,” said Jerry Wang, director of Data Engineering at Peloton. “However, analytics workloads are becoming more complex, causing our database administrators to spend a lot more time changing capacity thresholds and performing manual database optimizations. Leveraging the new optimizations capabilities in Amazon Redshift Serverless, we can eliminate even more of the data warehouse management tasks, making it more cost efficient while delivering better performance.”

Quantiphi is a digital engineering company driven by the desire to solve transformational problems. "At Quantiphi, we deliver tailored data analytics and machine learning solutions for our customers, and Amazon Redshift remains the cornerstone of our data warehouse services," said Sanchit Jain, data and application practice lead at Quantiphi. "We have been hearing from our customers that they want a solution that can also help them meet price-performance within their budget constraints. The newly introduced AI-driven scaling and optimizations in Amazon Redshift Serverless will help improve our offering, bringing flexibility and intelligence to data management and ensuring automatic, cost-effective scaling based on historical query data. With this new capability, we can provide tailored solutions for our customers who seek optimal price-performance while adapting to ever-growing data volumes."

Tuya Smart offers a cloud platform that connects devices via the Internet of Things (IoT) and empowers partners and customers by improving product value and making consumer lives more convenient through technology application. “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,” said Chong Chen, head of Data Infrastructure at Tuya Smart. “We have been using Amazon Aurora, along with other AWS purpose-built databases, for more than five years, but we had to build our own in-house sharding and proxy solution for databases due to high write requests. We are excited that Amazon Aurora Limitless Database can help us bring our IoT platform performance and management to the next level by managing and scaling the write throughput we need to serve our increasing customers base while providing a consistent, smooth, and efficient response experience for our customers, all without us having to use a self-managed solution.”

New palm-based identity service for organizations improves security of physical spaces and digital assets, reduces operational costs, and adds convenience for users while protecting personal data

Boon Edam, IHG Hotels and Resorts, Paznic, and KONE among customers and partners using Amazon One Enterprise

At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, today announced Amazon One Enterprise, a palm-based identity service for comprehensive and easy-to-use authentication that improves organizational security and helps prevent costly security breaches. The new service enables organizations to provide a fast, convenient, and contactless experience for employees and other authorized users to gain access to physical locations (e.g., data centers, office and residential buildings, airports, hotels and resorts, and educational institutions), as well as digital assets such as restricted software resources (e.g., financial data and HR records). Amazon One Enterprise eliminates operational overhead associated with the management of traditional enterprise authentication methods, like badges and PINs. IT and security administrators can easily install the Amazon One devices and manage users, devices, and software updates in the AWS Management Console.

Today, organizations authenticate employees and other authorized individuals to access buildings and software resources through physical means like badges and fobs, or digital methods like PINs and passwords. However, these traditional methods share common security vulnerabilities. Badges and fobs can be lost, shared, cloned, or stolen, while PINs and passwords are easily forgotten, guessable, or shared. Many traditional forms of authentication also require manual verification and time-intensive credential management, along with the cost of producing physical IDs. For employees, forgetting or replacing badges, PINs, and passwords can lead to frustration, wasted time, and lower productivity. Organizations have tried to solve these challenges through biometric-based solutions like iris scanning and fingerprint recognition, but these solutions are not always accurate. Customers also want solutions that help break silos in the implementation and management of user authentication. For example, an organization might use badges to access buildings, but passwords to access software resources and digital assets. This requires administrators to manage multiple authentication methods without full visibility into all authorized access across the organization. IT and security administrators want an easy and centralized view of authentications (e.g., who accesses a location or software resource at what time), and to easily monitor device usage and manage software updates.

Amazon One Enterprise is a new, fully managed service that provides highly accurate and secure enterprise access control through an easy-to-use biometric identification device. Security is built into every stage of the service, from multi-layered security controls in the Amazon One device to protection of data in transit and in the cloud. Amazon One Enterprise combines palm and vein imagery for biometric matching and delivers an accuracy rate of 99.9999%, which exceeds the accuracy of other biometric alternatives—even more accurate than scanning two irises. The new service’s palm-recognition technology uses advanced artificial intelligence and machine learning to create a palm signature that is associated with identification credentials like a badge, employee ID, or PIN. The palm signature is a unique numerical vector created from the user’s palm image that cannot be replicated or used for impersonation. To implement Amazon One Enterprise, IT and security administrators can easily install Amazon One devices on-site and activate them in the AWS Management Console. Administrators can also manage all aspects of user authentications in the console, including monitoring the status of installed devices, managing software updates, and getting analytics on user enrollment and usage, while reducing the amount of time and overhead involved in the manual verification of credentials. Additionally, with employees using their palms for authentication, customers eliminate much of the cost associated with buying fobs, and printing, issuing, and managing badges and other IDs. Amazon One Enterprise supports industry standard access-control protocols such as Open Supervised Device Protocol (OSDP) and Wiegand.

“Amazon One Enterprise’s palm recognition technology is designed to deliver a highly accurate identification service that increases an organization’s overall security, while offering seamless authentication management with lower operational overhead,” said Dilip Kumar, vice president of AWS Applications. “With Amazon One Enterprise, security administrators also have a centralized view of all user authentications across the organization, taking the stress out of managing multiple access control solutions. Businesses appreciate the privacy and convenience for their users, who can access physical locations and software assets with just a hover of their palm.”

Amazon One Enterprise delivers new levels of convenience for employees. It replaces the need for multiple authentication methods, and employees can use their palm to access physical spaces and digital assets. To begin, a user can enroll by hovering their palm over an Amazon One enrollment device and associating their palm with their organization’s preferred ID—such as badges, PINs, and passwords—and this can be done in less than a minute. After enrollment, users access physical locations simply by hovering their palm over an Amazon One device attached to common physical access control systems for uses such as unlocking doors, entry gates, and other barriers. When connected to computers or other enterprise systems, Amazon One Enterprise authenticates users for access to web applications and software. Protecting the privacy of these users is one of the foundational elements of Amazon One Enterprise. The new service is designed to ensure palm images, user credentials, and other metadata are immediately encrypted, using industry leading encryption technology, and sent to a dedicated Amazon One Enterprise service account in the AWS Cloud, with all of the security and isolation features of AWS. To further enhance privacy, each user’s palm data is encrypted using a unique key. When employees leave the organization or decide to unenroll, they can conveniently delete their palm data by choosing the Unenroll option on the Amazon One device, or an IT administrator can unenroll them through the AWS Management Console.

Boon Edam is a leading manufacturer of revolving doors, security doors, and security turnstiles for customers across the globe. “Our mission at Boon Edam is to protect what matters most to our customers by creating an ideal secured entry solution,” said Patrick Nora, president, Boon Edam Americas. “With Amazon One Enterprise, we can offer authorized entrances using innovative palm biometric technology that raises our security bar and delivers a convenient workplace experience. Our customers can prevent unauthorized entry, reduce the time spent monitoring access, and keep traffic moving smoothly.”

IHG Hotels & Resorts is a global hospitality company with over 6,000 hotels in more than 100 countries. “We are excited to work with Amazon One Enterprise for a more secure, efficient way to manage authentication and access our systems,” said Nick Krieble, global head of Identity and Access Management, IHG. “With Amazon One Enterprise, our goal is to offer employees a new and convenient way to identify themselves and gain access to our software systems by hovering their palm over the Amazon One device. This approach will streamline the way we authenticate, give staff access to the tools they need, and make access easier than ever for them.”

Paznic is a security company that specializes in technology that simplifies and modernizes the way financial institutions manage access control and safety deposit boxes. “Our goal at Paznic is to deliver solutions to meet the demands of financial institutions and high security environments that hold important and valuable assets,“ said Jonathan Curelar, CEO, Paznic. “Amazon One Enterprise will help us ensure only authorized individuals can gain room entry and safety deposit box access without the use of pins and passcodes. We look forward to launching Amazon One Enterprise across our locations to improve our safety deposit box experience and deliver the highest level of security and satisfaction to our customers.”

AWS Global Cloud Infrastructure is the most secure, extensive, and reliable cloud, offering more than 240 fully featured services from data centers in 102 Availability Zones within 32 geographic regions. “Amazon One Enterprise raises our security bar while delivering a convenient experience for our workforce,” said Kevin Harris, director of Global Security for AWS Data Centers. “Legacy radio frequency identification systems have inherent vulnerabilities and require additional manual verifications at checkpoints. With Amazon One Enterprise, we can provide secure access to authorized personnel without extra verification, while simplifying the authentication process and reducing the risk of physical breaches. We look forward to expanding Amazon One Enterprise across all our locations.”

KONE is a leading provider of elevators and escalators, making people’s journeys safe, convenient, and reliable in taller, smarter buildings. “We are integrating Amazon One Enterprise into our People Flow Solutions, so we can offer customers a more secure and reliable option for building entry and access,” said Steve Gonzalez, senior vice president, New Building Solutions, Americas. “We are excited to work with Amazon One Enterprise to deliver cutting-edge solutions designed to ensure smooth, efficient, and secure flows of people into, through, and out of all types of buildings.”

Triton Digital and CRA Expand Audience Metrics with Launch of Podcast Metrics Demos+

Triton Digital and Commercial Radio & Audio today announced the availability of podcast audience profiles via the launch of Podcast Metrics Demos+ in Australia. Publishers in the Australian Podcast Ranker can now access new audience profiles and demographic data, giving them insight into not just the number of listeners and downloads, but also the age and gender, purchase history and intent, interests, and media consumption behaviours of their audiences.

This new layer of audience profiling covers 150 data points which will help publishers build detailed listener profiles to inform advertisers and guide the direction of new content. Demos+ is an extension of Triton Digital’s Podcast Metrics measurement service, which delivers the results for the Australian Podcast Ranker.

“The expansion of podcast audience profiles for publishers in the Australian Podcast Ranker marks a significant step forward, building upon the industry's collaborative and innovative spirit,” said Ford Ennals, CEO of Commercial Radio & Audio. “The Australian Podcast Ranker has brought a deeper understanding of the podcast market that has facilitated the growth of our industry, and we’re excited for the newly available audience profiling to do the same.”

Listener characteristics can be broken down by individual podcasts, groups of podcasts, or podcast genres. For example, when looking at the True Crime genre, Australian listeners are 68% female, are 60% more likely to be a parent with a child under 18 than the average Australian, and 27% more likely to purchase whitegoods in the next 12 months than the average Australian podcast listener.

“The new audience profiles and insights from Podcast Metrics Demos+ enables publishers to really understand who our audiences are in podcasting,” said Shannon Hollis, General Manager - Audio, News Corp Australia. "This in turn will help us attract the right advertisers and to make strategic content decisions. It has brought a new level of transparency and understanding to the industry.”

In partnership with audio research firm Signal Hill Insights, Podcast Metrics Demos+ utilises a unique methodology combining census and survey-based research methodologies. It transcends the limitations of podcast survey sample size to allow for demographics to be produced for podcasts of virtually all sizes.

“Demos+ podcast listener profiling has already been available to US podcast publishers and has been extremely valuable to the podcast industry there,” said Richard Palmer, Vice President of Market Development at Triton Digital. “Now, we’re excited to be extending our reach together into a market where we’ve already had such huge success with the Australian Podcast Ranker. Alongside our longtime partner, CRA, we are ushering in an exciting new era for the Australian podcast market.”

Combines IBM Db2 database and Amazon RDS to help businesses manage data with flexibility, security, and scalability to help unlock greater value

IBM announced today at AWS re:Invent 2023 that it has been working with Amazon Web Services (AWS) on the general availability of Amazon Relational Database Service (Amazon RDS) for Db2, a fully managed cloud offering designed to make it easier for database customers to manage data for artificial intelligence (AI) workloads across hybrid cloud environments.

Businesses are turning to AI to unlock insights that can lead to more informed decisions, automation of repetitive tasks, and greater efficiencies. These AI technologies are powered by massive amounts of data that require modern data stores residing on cloud-native architectures to provide scalability, cost optimization, enhanced performance, and business continuity.

Amazon RDS for Db2 customers now have the option to modernize on premises, on AWS, or to deploy a hybrid cloud architecture, to optimize AI workloads. For customers moving to AWS, Amazon RDS for Db2 can help them to migrate their existing, self-managed Db2 databases to the cloud — helping to automate time consuming database administrative tasks such as provisioning, backups, software patching, and monitoring.

"Digital transformation is a strategic imperative for nearly every one of our clients. By working with AWS to bring Db2 to Amazon RDS, we're helping companies prepare for the next generation of applications, analytics, and AI workloads that will power the modern economy," said Dinesh Nirmal, Senior Vice President of Products, IBM Software. "IBM and AWS are redefining the possibilities of cloud database innovation, removing the complexity of modernization and empowering organizations to realize the full potential of their data."

Amazon RDS customers have seen significant business value by moving to a fully managed service. Results of an AWS and IDC study of RDS users found study participants who moved to a managed database on Amazon RDS were able to manage on average up to 60%₁ more databases per DBA and estimated an average of 39%₁ lower database operational costs over three years – enabling DBAs to focus on high value work like application modernization or query optimization.

"We are pleased to collaborate with IBM to make it easier for customers to manage and modernize the highly-regarded and trusted IBM Db2 database in the cloud," said Jeff Carter, VP Databases & Migrations, AWS. "For over a decade, Amazon RDS has offered hundreds of thousands of customers proven operational expertise, security best practices, and best-in-class managed database services for their mission-critical workloads. With Amazon RDS for Db2, customers can offload time-consuming database administrative tasks, such as provisioning, backups, patching, and monitoring, and use Amazon RDS multi-AZ deployments for high availability and durability. Customers can also easily take advantage of the broad portfolio of AWS services, including ability to accelerate their generative AI priorities."

Amazon RDS for Db2 combines the operational expertise and ease of use of Amazon RDS to automate database administration with IBM Db2's decades of experience running mission critical workloads for some of the largest banks, supply chain operations, and retail/e-commerce businesses in the world. Many long-time customers who participated in the private beta already see the value of this offering and are looking forward to accelerating productivity and modernization initiatives.

"The IT leaders at our cross-industry clients see this as a compelling value proposition," said Frank Fillmore, owner of The Fillmore Group, an IBM business partner that participated in the beta. "Amazon RDS for Db2 brings together the foundational expertise of IBM in relational database technology and the cloud innovations of AWS to help deliver the best of deployment efficiency, elastic scaling, and cost savings."

As Amazon RDS for Db2 customers accelerate their modernization and AI initiatives, they will be able to leverage an array of IBM's integrated data and AI capabilities on AWS to manage data and scale AI workloads. This includes IBM's entire portfolio of commercial databases, data fabric solutions, and watsonx data, AI, and select AI governance capabilities — all of which can help customers build, scale, and run the next generation of trusted AI applications. Amazon RDS for Db2 customers will now be able to unify, transform and share transactional data for AI, using Amazon RDS for Db2's native integrations with Db2 Warehouse and watsonx.data open data lakehouse on AWS.

Conneto invites business leaders and entrepreneurs to gain early access to its cloud-based legal expertise platform.

Conneto, a place to streamline, secure, and sign any type of documents, announces the early access launch of its new cloud-based platform. The Conneto team has been hard at work to deliver an intuitive, dynamic, and affordable platform that works as the legal arm of organizations with the aim of revolutionizing workflow processes and driving business success.

Conneto was built to disrupt the legal industry by meeting the needs of organizations needing to quickly and safely manage contracts with a cost-effective, digital solution. With Conneto, business owners can streamline document workflows, customize user-friendly templates, and expand their reach with multilingual support. 

Conneto is an all-in-one platform that fuels organizational growth and empowers its users to: 

• Create
• Negotiate
• Approve
• Track
• Sign
• Access legal guidance

Early access includes exclusive industry insights with curated content designed to provide a competitive edge plus expansive networking opportunities that connect people to peers and professionals in their field. Conneto also promises to deliver new features, services, and special offers empowering its early community with advanced knowledge.

We are dedicated to transforming how businesses manage their legal needs," said Mrs Grenfell, CMO of Conneto. "Our innovative platform is designed to significantly reduce legal expenses, providing straightforward access to essential tools and expert guidance. This empowers business leaders, entrepreneurs, and solopreneurs to efficiently handle their legal operations. We're excited to extend a warm welcome to our growing community of innovators who are reshaping the legal landscape. Together, we're democratizing legal services, making them more accessible and equitable for all

New Innovation Factory to speed design and development of cloud, data, AI and generative AI projects

Kyndryl to strengthen base of AWS technical specialists and certified experts supporting AI and generative AI solutions on AWS

Kyndryl, the world's largest IT infrastructure services provider, today announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS), focused on developing and delivering generative artificial intelligence (AI) solutions and advanced machine learning (ML) capabilities. This collaboration will help Kyndryl and AWS shared customers infuse innovation across their businesses, drive efficiency, and accelerate their digital transformation.

Under the agreement, Kyndryl and AWS intend to:

• Establish the Kyndryl and AWS Innovation Factory, a mutual investment to co-create generative AI and ML solutions focused on specific industry use cases. Leveraging the Innovation Factory and Kyndryl's data-driven capabilities, customers can jump-start their cloud modernization journey and accelerate their business transformation.
• Enhance Kyndryl's capabilities to design, implement, migrate, modernize and manage AWS cloud services across complex information technology environments.
• Speed modernization of enterprise resource planning systems and other applications on AWS through a shared strategic execution plan designed to reduce costs, complexities and time.
• Deepen the expertise among Kyndryl's technical specialists to rapidly expand the number of AWS based certifications and specialist certifications on the 10,000+ AWS certifications already obtained to add thousands more certifications.

"The expansion of our alliance with AWS fuels Kyndryl's ability to help customers accelerate the adoption – and maximize the benefit of – generative AI solutions," said Nicolas Sekkaki, Kyndryl Applications, Data and AI global practice leader. "The collaboration will also help Kyndryl scale its reach and ability to facilitate customers' digital transformations on AWS through a growing variety of application modernization options."

"Our customers turn to AWS Partners to support them through their cloud migration journey, in optimizing their IT assets to unlock future business growth and identifying how and where to leverage new technologies for maximum business impact," said Julia Chen, Vice President of Partner Core at AWS. "We are delighted to be working with Kyndryl to help our shared customers to leverage data to derive AI insights at scale."

"Given Kyndryl's expertise and skills in supporting enterprises in their digital transformation journey, we knew they would be the ideal AWS Partner to modernize and migrate our mission-critical workloads to AWS," said Michael Wagner, MD, President and Chief Executive Officer, Care New England. "This migration project is key to reducing our operations costs, strengthening our system's data security and freeing up valuable time for our staff to focus on providing the highest quality patient care."

Kyndryl will also utilize its AI-readiness program to further support customers in the adoption of responsible AWS generative AI services. This program relies on Kyndryl's deep domain knowledge and enterprise-grade AI expertise to provide customers with the necessary end-to-end services to incorporate generative AI solutions that will drive business impact.

Anodot has joined the AWS ISV Accelerate program to better support customers in managing their cloud costs

Anodot is now part of the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, which helps ISVs that have software solutions that run on or integrate with AWS drive new business and accelerate sales cycles by connecting the participating ISVs with the AWS Sales organization.

Anodot's acceptance into the AWS ISV Accelerate Program enables the company to meet customer needs through collaboration with the AWS Sales organization. Close collaboration with the AWS Sales team enables Anodot to provide better outcomes to AWS customers, as AWS ISV Accelerate Partners and the AWS team work together.

"This new ISV Accelerate recognition comes based on years of committed partnership with AWS," stated David Drai, Co-Founder & CEO of Anodot. "Being a part of this network and offering AI tools like CostGPT, we can provide rapid insights into cloud computing costs, giving AWS customers better control and visibility."

Anodot offers comprehensive cost monitoring and optimization capabilities for FinOps teams and stakeholders, strengthening waste prevention.

This includes:

• Cloud Cost Management: Anodot enables continuous monitoring and accurate forecasting of cloud costs on the AWS platform. It helps companies save up to 40% by optimizing their cloud spending.
• Forecast Future Costs: Anodot runs forecast models on historical CUR files to generate demand forecasts for future AWS demand.
• Anomaly Detection: Anodot utilizes autonomous analytics to provide real-time monitoring for your business, ensuring smooth operations by detecting unknown unknowns.

Anodot can be purchased from the AWS Marketplace, offering consolidated procurement and billing for customers. AWS's enterprise clients can utilize their annual commitments to pay for Anodot subscriptions through the AWS Marketplace. Customers can also check out Anodot's blog for the latest news and updates impacting AWS.

New integration scales and simplifies data access control, enabling organizations to get more value from their Amazon S3 data

Immuta, a data security leader, today announced a new native integration between the Immuta Data Security Platform and object storage service Amazon Simple Storage Service (Amazon S3). This integration provides customers with streamlined data access control and security across storage and compute platforms using Amazon S3 Access Grants, a new Amazon S3 access control feature that enables customers to manage data permissions at scale for user identities managed by corporate directories. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading durability, scalability, availability, and security, enabling data and security teams to unlock even more value from their Amazon S3 data, reduce costs, and increase efficiency.

Amazon S3 stores more than 350 trillion objects with over 100 million requests per second to process a multitude of workloads including artificial intelligence (AI) and data analytics. Organizations need a simple, scalable, centralized solution that consistently enforces access control and protects data across data stacks, while maintaining compliance with internal and external regulations. With Immuta's Data Security Platform and Amazon S3's new Access Grants feature, users can centralize access control management, and leverage attribute-based access controls (ABAC) to grant permissions for objects in Amazon S3 storage. Immuta builds on Amazon S3 controls, increasing efficiencies with fewer policies and lower manual effort, reducing operational costs and opening up new revenue streams. The Amazon S3 integration also helps US government agencies protect sensitive data hosted in the AWS GovCloud (US) Regions.

"The amount of data Amazon S3 can store and retrieve is truly impressive. So is the number of platforms that manage and analyze data from Amazon S3 every day – from Databricks and Snowflake, to Amazon Redshift and Amazon EMR. Because of this, Amazon S3 access control is paramount due to the sheer amount of data that moves through the service," said Steve Touw, CTO, Immuta. "Immuta helps simplify data access and security for data stored in Amazon S3 so users can more safely leverage that data for their analytics and AI initiatives. This, paired with Immuta's 'write once, apply everywhere' policy approach, helps customers democratize and increase data usage while still adhering to global regulations."

As part of this new integration, joint customers have access to the following key features:

• Plain-language policy builder reduces the need to manually code AWS Identity and Access Management (IAM) policies and Amazon S3 access controls.
• Scalable attribute-based access control supports more use cases and users, and includes a metadata-driven approach to policy logic management to further boost efficiency.
• Consistent access controls and policies across expanding data stacks includes support for Amazon S3, Amazon Redshift, Snowflake, Databricks, and Starburst (Trino).
• Access to Apache Spark for Amazon EMR, and other AWS services through Amazon S3 Access Grants provides scalable, attribute-based access control for file reads and table access in Spark jobs.

"By leveraging this new release from Immuta that integrates with Amazon S3 Access Grants, we envision a single control plane for Booking.com data owners and governors to manage access at scale for all Amazon S3 resources ingested into our data lake (both structured and unstructured)," said Luca Falsina, Principal Software Engineer at Booking.com. "Moreover, as this integration is based on a new Amazon S3 native access control capability, it gives us confidence that controls will be enforced consistently, no matter which technology data consumers will choose to access the data."