AWS SAM now supports AWS Step Functions, enabling you to integrate workflow orchestration into your serverless applications quickly and easily. Through direct support in the AWS Serverless Application Model (AWS SAM), an open-source framework for building serverless applications, you can now deliver your serverless applications faster by defining your Step Functions state machine workflows alongside your application architecture and code.
Network Load Balancer now supports TLS ALPN Policies
Elastic Load Balancing now supports Application-Layer Protocol Negotiation (ALPN) policies on Network Load Balancers. ALPN is a TLS extension supported by all major browsers that enables negotiation of the protocol used after establishing a TLS connection, such as HTTP/2. Using ALPN policies, you can now offload your application’s TLS HTTP/2 traffic decryption/encryption to the Network Load Balancer, improving your service security posture and reducing operational complexity.
Now deploy AWS Config rules and conformance packs across an organization from a delegated member account
Last year, AWS Config launched the ability to deploy AWS Config rules and conformance packs across an organization from the master account in AWS Organizations. Starting today, you can deploy these AWS Config artifacts from any delegated member account in your organization, in addition to the master account. This option provides additional flexibility to users who want to manage these deployments centrally, from a dedicated account such as an audit, security or compliance account.
Amazon QuickSight launches integration with Amazon SageMaker and more
Amazon QuickSight now makes it easier to connect with ML models from SageMaker and also introduces an enhanced SQL editor that simplifies building custom SQL-powered data sets.
AWS Solutions: Serverless Bot Framework adds a remastered user interface and uses AWS Amplify
AWS has updated Serverless Bot Framework, an AWS Solution that automatically sets up a chatbot application with sample interactions for the chatbot. The solution makes use of AWS services such as AWS Lambda to implement the machine learning logic of the chatbot, and uses Amazon Polly to turn text responses into lifelike speech.
AWS Outposts is now supported in AWS Europe (Milan) Region
AWS Outposts is now supported in AWS Europe (Milan) Region. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any customer datacenter, co-location space, or on-premises facility for a consistent AWS experience. Outposts is ideal for applications that need to run on-premises to meet low latency requirements. You can also use Outposts to process and manage data locally and effectively meet your data residency requirements.
AWS Lake Formation is now available in the Europe (Paris) AWS region
You can now use AWS Lake Formation in the Europe (Paris) AWS region.
Data Lifecycle Manager adds support for scheduling based on cron expressions and additional backup intervals including weekly, monthly and annual schedules
You can now provide cron expressions as the scheduling input for your Data Lifecycle Manager (DLM) policies. Cron expressions provide you the flexibility to specify custom schedules in your policies.
AWS Systems Manager Explorer now provides a multi-account, multi-region summary of AWS Compute Optimizer recommendations
Starting today, AWS Systems Manager Explorer provides a summary of AWS Compute Optimizer recommendations to help you improve cost and performance for your workloads. Systems Manager Explorer is an operations dashboard that provides a view of your operations data such as patch compliance and instance details helping you see where you may need to investigate and remediate operational issues. Compute Optimizer delivers Amazon Elastic Compute Cloud (Amazon EC2) instance recommendations so that you can quickly identify the most impactful optimization opportunities. You can now see all your operations data and Compute Optimizer recommendations in one aggregated view from Systems Manager Explorer.
Amazon Connect now supports selection of multiple blocks within the contact flow editor
You can now select multiple blocks at the same time and rearrange them as a group within your contact flows, saving time and effort. Previously, moving a sequence of blocks would require each block to be individually dragged and dropped. This feature is replacing the repetitive task of dragging one block at a time, which was frustrating, error prone, and time consuming, replacing it with one that takes seconds.