Adam Selipsky, Chief Executive Officer (CEO) of Amazon Web Services (AWS), opened day two of AWS re:Invent 2022 with a keynote address showcasing a wealth of integrations and innovations across AWS’ broad cloud offering.
Speaking at The Venetian in Las Vegas, Selipsky first highlighted AWS’ sustainability goals, reaffirmed the company’s commitment to run its operations on 100 percent renewable energy by 2025, and announced that AWS aims to do so water positive by 2030. The company will reuse and recycle the water used in direct operations and report annually on its water use efficiency (WUE).
“We build sustainability into everything we do. And that includes working with you. We are determined to be inventive and relentless as we work to make the cloud the cleanest, most energy-efficient way to run your entire infrastructure and business,” said Selipsky.
Cloud adoption and data management were also the focus of Selipsky’s keynote as he emphasized the cost-effectiveness, speed, efficiency and flexibility of cloud services in unpredictable times and highlighted innovation among partners adopting the cloud.
Selipsky compared “the vast realm of data” to outer space, saying, “Just as the vastness and complexity of space means you can’t explore it with just one technology, so does data.” The right tools to manage it Scale and variety of data, integrations to combine data spread across different locations, and governance and insights into that data are critical.
Here are the tools and integrations announced during Selipsky’s keynote:
Serverless with OpenSearch – This possibility enables organizations to run search and analytics workloads without having to configure or scale OpenSearch clusters, and delivers fast data ingestion and query responses for even the most demanding and unpredictable workloads. With OpenSearch Serverless, companies only pay for the resources they use.
Integrations – The process of combining data across different locations, or ETL (Extract Transform Load), is a “painful” process, Selipsky explained. The AWS integrations announced Tuesday, including Aurora/Redshift (available in preview) and Redshift/Apache Spark (generally available), aim to “simplify analytics and machine learning without having to deal with the ETL muck “. Or better yet, to create a “Zero ETL Future”.
leadership – AWS tries to make it easier for the right people to access and share data when needed, and to balance control and access to ensure data is secure but not locked. Selipsky therefore announced the Amazon Data Zone (coming soon), designed to catalog, discover, share and manage data across the enterprise. Users can also use it to collaborate with others to generate insights for their business.
Insights – to Exploring and analyzing data, Selipsky announced ML-powered forecasts, available today, that allow business users to forecast a metric taking into account seasonality, anomalies, and outliers to create the best forecast. Queued “why” questions also allow users to retrace and understand past events and trends that impacted the forecast.
Security – AA new capability – Container Runtime Threat Detection – has been added to GuardDuty, Amazon’s threat detection service that monitors AWS workloads for malicious activity and provides results for remediation. GuardDuty can “now detect threats from software running inside your container by monitoring OS-level behavior inside the container itself,” Selipsky said.
Security Data Analysis – Selipsky announced the preview of Amazon Security Lake to enable security teams to automatically access, collect, and analyze periodic security data.
Fries – After the introduction of AWS’s third generation of Graviton processors, which are designed to deliver end-to-end performance and energy efficiency, companies have been able to achieve better value for their money, Selipsky explained. AWS has now previewed Inf2 instances for EC2, designed to deliver the highest performance for machine learning and other extreme workloads.
High Performance Computing – HPC is used to handle massive workloads, e.g. B. for drug discovery and energy use, which usually require extensive calculations. For HPC workloads that require modeling of complex structures, such as wind turbines, concrete buildings, and industrial plants, AWS announced EC2 HPC 6id instances designed to deliver “leading price/performance for data- and storage-intensive HPC workloads with Deliver higher storage bandwidth per core, faster local SSD storage, and improved networking with Elastic Fabric adapters,” boasted Selipsky.
- AWS Simspace Weaver – designed to run large-scale space simulations
- Amazon Connect – A contact center in the cloud, including forecasting, planning and scheduling capabilities, contact agent performance management capabilities, and a user interface that gives agents access to all customer interactions for faster issue resolution.
- AWS Supply Chain – A new cloud application built to improve supply chain visibility through actionable insights that help customers mitigate supply chain risk and reduce costs.
- AWS Clean Rooms – A new service that enables companies and their partners to collaborate and analyze shared datasets without revealing underlying raw data.
- Amazon Omics – A new service for storing, querying, and analyzing insights from genomic and other omics (the study of molecular data), which are often difficult to process and critical to scientific discovery. Amazon Omics was designed to support such large-scale analysis with large populations.