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AWS re: Invent is an annual event hosted by Amazon Web Services that allows attendees to gain access to new products, network with other industry professionals, and hear keynote speakers discuss the latest technological trends.
Over 65,000 people from around the world attended last year’s event in Las Vegas. It was a fantastic opportunity to meet some of the biggest technological names up close and personal. Furthermore, all the sessions were tailored specifically for those in attendance – developers or executives – so everyone could benefit. This article covers detailed knowledge on AWS re: Invent 2022.
Amazon Redshift announced several features at re:Invent this year, to help you simplify data ingestion and get insights quickly and easily within a secure, reliable environment.
AWS Glue Data Quality can automatically analyze your tables and recommend a set of rules based on what it discovers.
This new release simplifies the development and deployment of Spark applications on Amazon Redshift and Redshift Serverless, allowing customers to use the data warehouse for a broader range of AWS analytics and Machine Learning (ML) solutions.
Amazon OpenSearch Serverless allows you to search and analytics workloads without managing clusters
This new release allocates and scales resources to provide fast data ingestion and query responses for even the most demanding and unpredictable workloads, removing the need to configure and optimize clusters.
With Amazon QuickSight Paginated Reports, you can create and share operational reports at scale.
Customers can use this feature to create and distribute highly formatted, personalized reports containing business-critical data to hundreds of thousands of end users without the need for infrastructure setup or maintenance, upfront licensing, or long-term commitments.
New QuickSight API capabilities enable programmatic dashboard, analysis, template creation, and management.
The distributed map state can launch up to ten thousand parallel workflows to process data.
This new capability ensures that third-party software meets your industry standards by aggregating security information, such as data privacy and residency, application security, and access control, into a single consolidated dashboard.
SimSpace Weaver allows you to run simulations on multiple Amazon EC2 instances simultaneously. It can simulate up to a million independent and dynamic entities.
Enabling Lambda SnapStart for Java functions can accelerate startup time by up to 10x at no extra cost.
This new capability streamlines the development and operation of resilient distributed applications. One can add a layer of resilience to your ECS service communication and gain traffic insights with no changes to your application code.
This new release makes it easier to find and deploy third-party Kubernetes operation software to EKS clusters from the Amazon EKS console using the same commands used to deploy EKS add-ons.
Trusted Language Extensions for PostgreSQL allows database administrators to control who can install extensions and provides a permissions model for running them, allowing application developers to deliver new functionality as soon as they determine an extension meets their needs.
Elastic Clusters simplifies customer interactions with Amazon DocumentDB by managing the underlying infrastructure automatically and eliminating the need to create, remove, or scale instances.
AWS Application Composer simplifies and accelerates the architecting, configuring, and building of serverless applications for developers. You can drag and drop AWS services into an application architecture and connect them using AWS Application Composer’s browser-based visual canvas.
In Buenos Aires, Copenhagen, Helsinki, and Muscat, AWS Local Zones are now generally available.
A more thorough test can be performed by copying the live inference requests for a production model and routing them to the new (shadow) model.
This feature enables you to reuse the data transformation flow created in SageMaker Data Wrangler as a step in Amazon SageMaker inference pipelines.
This new set of Amazon CloudWatch Logs capabilities uses pattern matching and Machine Learning (ML) to protect sensitive log data in transit.
This new feature allows you to search, analyze, and correlate cross-account telemetry data such as metrics, logs, and traces stored in CloudWatch.
AWS DMS Schema Conversion simplifies database migrations by integrating schema assessment and conversion within AWS DMS.
These three significant updates will help you with any size migration project.
Verified Access strengthens your organization’s security posture by granting access to applications using multiple security inputs.
You can define policies for traffic management, network access, and monitoring with VPC Lattice, which allows you to connect applications across AWS compute services simply and consistently (instances, containers, and serverless functions).
Customers who wanted to assess common vulnerabilities in their mixed workloads (EC2 instances, container images, and Lambda functions) had to rely on AWS and third-party tools.
This new feature allows you to see where your sensitive data is stored on Amazon Simple Storage Service (Amazon S3) for a fraction of the cost of performing a full data inspection across all your S3 buckets.
This new throughput mode is designed to give your applications as much throughput as they need while only charging you for what you use.
AWS Backup enables you to define a centralized backup policy to manage data protection for your applications and can now protect your Amazon Redshift clusters.
AWS re: Invent 2022 was a fantastic event for anyone interested in learning more about cloud computing technology and trends. Plenty of new announcements were made at the event that will impact how businesses deploy their applications in the future, ranging from serverless computing and hybrid cloud solutions to powerful new databases like QLDB.
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