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Amazon Web Services has already launched an avalanche of new tools this year to better enable customers, technologists, channel partners, and developers around AWS' ever-growing portfolio of cloud offerings. From new automation and configuring tools to new EC2 instances, the Seattle-based public cloud market-share leader is creating new cloud offerings in 2022 at a rapid pace. AWS' red-hot innovation engine is continuing to drive sales for the company this year. For its recent first fiscal quarter, AWS generated sales of $18.4 billion, representing an increase of 37 percent year over year. This means AWS is now running at an annualized revenue run rate of $74 billion. The company reported an operating income of $6.5 billion for its first quarter, up significantly from $4.2 billion for the same period one year before. AWS also continues to build out its customer base and AWS services offerings by forming new strategic partnerships with industry titans like IBM and Ingram Micro.
AWS' new Amazon Aurora Serverless v2 automatically scales to hundreds of thousands of transactions in a fraction of a second to support the most demanding applications. Amazon's Aurora Serverless v2 scales capacity increments based on an application's needs, providing customers with up to 90 per cent cost savings compared with provisioning database capacity for peak load, AWS said. The offering 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.
Amazon launched a 3-D online role-playing game where players move through a virtual city helping people solve real-world technology issues and cloud use cases, with the goal of building AWS cloud skills and preparing for the AWS Certified Cloud Practitioner exam. "AWS Cloud Quest: Cloud Practitioner" was designed by AWS this year to help people become AWS cloud experts by solving real-world cloud business use cases in the game, as Amazon continues to invest hundreds of millions in providing free cloud computing training.
In May, AWS launched the general availability of its Amazon Elastic Compute Cloud (Amazon EC2) C7g instances powered by AWS-designed Graviton3 processors. AWS' new C7g instances use AWS Graviton3 processors to provide up to 25 per cent better compute performance for compute-intensive applications than current generation C6g instances powered by AWS Graviton2 processors. The higher performance of C7g instances makes it possible for customers to more efficiently run a wide range of compute-intensive workloads—from web servers, load balancers and batch processing to electronic design automation (EDA), high-performance computing, gaming, video encoding, scientific modeling, distributed analytics, machine learning inference, and ad serving.
Launched in June, AWS Mainframe Modernization is a new service aimed at making it faster and easier for customers to modernize mainframe-based workloads by moving them to the AWS cloud. With AWS Mainframe Modernization, customers can refactor their mainframe workloads to run on AWS by transforming mainframe-based applications into modern cloud services. Alternatively, customers can keep their applications as written and re-platform their workloads to AWS by reusing existing code with minimal changes.
Solution Spark Program for Channel Partners
After a successful nine-month pilot, AWS' new Solution Spark for Public Sector Partners Program provides training and resources for partners to build on top of AWS solutions to solve common customer problems in the public sector. Through Solution Spark for Public Sector Partners, the channel has access to new and developing solutions, promotion on AWS solution pages, and go-to-market support such as joint planning, MDF and sales support. The program is set to go into effect in July.
AWS IoT TwinMaker is a new service that makes it faster and easier for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment and production lines. The digital twins are virtual representations of physical systems that use real-world data to mimic the structure, state and behaviour of the objects they represent and are updated with new data as conditions change.
AWS' new Container Rapid Adoption Assistance Program offers technical expertise and hands-on guidance to partners to help accelerate container solution deployments on behalf of public sector customers. "We're seeing a shift to containers from EC2 instances and more. What [partners] were asking for is more technical assistance. So, we're providing that technical engagement on containers," said AWS' Kratz. "We don't have enough partners who really understand how their customer's design applications with containers. So, we're providing that service to them."
The public cloud giant launched AWS Amplify Studio, a new visual development environment for creating web application user interfaces that extend AWS Amplify so that developers can create fully customizable AWS web applications with minimal coding. Customers leverage AWS Amplify to more easily configure and deploy AWS services including its database, compute and storage services to power their applications. AWS Amplify Studio extends the capabilities of AWS Amplify to provide a unified visual development environment for building rich web applications on AWS—from provisioning the AWS services that power the application to creating dynamic UIs.
This year, AWS launched the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Hpc6a instances—a new instance type that is purpose-built for tightly coupled high-performance computing (HPC) workloads. The HPC-focused instances aim to make it even more cost-efficient for customers to scale HPC clusters on AWS to run their most compute-intensive workloads such as genomics, computational fluid dynamics, weather forecasting, molecular dynamics, computational chemistry, financial risk modelling, computer-aided engineering and seismic imaging.
Launched in June, Amazon EMR Serverless is a new serverless deployment option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. Amazon EMR is a big data offering customers can use to run large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications built on open-source analytics frameworks such as Apache Spark, Apache Hive and Presto. With AWS EMR Serverless, businesses can run their Spark and Hive applications without having to configure, optimize, tune or manage clusters. EMR Serverless offers automatic scaling, which provisions and quickly scales the compute and memory resources required by the application.
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