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New AWS Announcements for June 2023

New AWS Database Migration Service is now available in Serverless Mode.

AWS has announced the availability of AWS Database Migration Service (AWS DMS) Serverless. It’s a new feature that makes migrating databases easier by setting up and adjusting migration resources. You can use AWS DMS Serverless to replicate data across popular databases like PostgreSQL, MySQL, Oracle, and more.

AWS DMS Serverless is perfect for complex database migration projects and ongoing data replication. It covers the migration process, so you don’t have to worry about estimating, provisioning, monitoring, or scaling resources. 

You can start your migrations and save money by paying only for the data migration resources you use. Read more on AWS DMS Serverless

Connect to Amazon EC2 Instances with SSH and RDP

In the past, customers needed to assign public IP addresses to their EC2 instances to establish remote connectivity. But, with EIC Endpoints, customers can now connect to their EC2 instances using SSH(Secured Shell) and RDP(Remote Desktop Protocol) without relying on public IP addresses.

Before, customers had to set up bastion hosts to create SSH/RDP tunnels to instances with private IP addresses. This approach required extra effort for tasks like patching, managing, and auditing and incurred extra costs.

Now, EIC Endpoint eliminates the need for maintaining bastion hosts, reducing costs and operational overhead.

To learn more about EIC Endpoints, visit documentation

Introducing Amazon CloudWatch Logs Live Tail: Real-Time Log Analytics for Issue Detection and Troubleshooting

Amazon has announced the new feature Amazon CloudWatch Logs Live Tail. This offers an interactive log analytics experience designed to assist users in identifying and troubleshooting anomalies within their applications. 

With Live Tail, users can now view their logs in real time as they are being ingested, enabling effective analysis and issue resolution across their systems and applications.

Live Tail presents customers with a comprehensive out-of-the-box experience, empowering them to detect and address issues present in their incoming logs. Furthermore, it provides advanced controls for precise filtering, attribute highlighting, and the ability to pause or replay logs during troubleshooting.

View documentation to gain meaningful insights.

Previewing Amazon EC2 M7a instances

AWS has recently announced the preview release of Amazon Elastic Compute Cloud (EC2) M7a instances. These new instances are part of the general purpose family of EC2, and the design offers the best x86 performance and price performance. 

The fourth-generation AMD EPYC processors, also known as Genoa, power the M7a instances, featuring a turbo frequency of up to 3.7GHz across all cores. These instances deliver up to 50% more average performance than M6a instances.

To learn more, visit the M7a instances

Introducing Profiles in Well-Architected

AWS Well-Architected now offers Profiles, enabling customers to customize their reviews based on their business objectives. This feature promotes continuous improvement by encouraging customers to focus on specific goals during workload reviews.

By answering a set of predefined questions, customers create a profile that aligns with their desired outcomes. The profile then generates prioritized Well-Architected questions. You can share profiles with other accounts and AWS Organizations for scaling business priorities.

To learn more, visit the AWS Well-Architected Profile documentation

Introducing New Features for Amazon Redshift Serverless: Query Scheduling and Single Sign-On Support

Amazon Redshift Serverless has introduced a new capability that allows users to schedule their SQL queries regularly. This feature enables the automation of time-sensitive or long-running queries and the loading and unloading of data using either Amazon Redshift Query Editor V2 or the Amazon Redshift Data API. 

Users can exercise flexibility in setting up scheduling expressions, including cron expressions, to ensure optimal control over the execution timing of their queries. To ensure security, query scheduling supports IAM credentials or secrets stored in AWS Secrets Manager for authentication.

Besides, Amazon Redshift Serverless now offers Single Sign-On (SSO) functionality with an Identity Provider (IdP). This SSO support, used with Amazon Redshift Query Editor V2, JDBC/ODBC clients, and the Data API, provides users a seamless and efficient experience across these services.

Visit page to learn more about this program.

EMR on EKS now supports custom job scheduling

Amazon has announced that users can now utilize Volcano and Apache Yunikorn as job schedulers for running Amazon EMR on Amazon Elastic Kubernetes Service (EKS) with Spark operator and spark-submit. 

This enhancement allows customers to use open-source big data frameworks like Apache Spark on Amazon EKS. Customers can manage capacity and provision pods at scale by employing custom job schedulers. 

The default Kubernetes scheduler handles individual pod placement but lacks support for job-based scheduling. 

With Volcano and Apache Yunikorn, customers gain access to features like gang scheduling, queue management, preemption, and fair-share scheduling, enabling high throughput and optimized capacity for EMR on EKS Spark jobs.

Read more for additional information.

AWS introduces AWS Payment Cryptography

AWS has introduced a new service called AWS Payment Cryptography. This service makes it easier for businesses to use cryptography to protect data in payment processing applications for debit, credit, and stored-value cards. It follows industry standards like PCI, network, and ANSI rules. 

Financial service providers and processors can replace their hardware security modules with this flexible service and shift their payment-related cryptography and key management functions to the cloud.

AWS Payment Cryptography

AWS Payment Cryptography simplifies payment key management tasks, such as key generation, importing, exporting, and automating key management processes like storage, rotation, backup, and recovery. By managing the physical HSM infrastructure and key management requirements, this service helps businesses meet their compliance needs.

For details, please, Click here

Introducing Versions and Aliases for AWS Step Functions

AWS Step Functions has introduced Versions and Aliases, enhancing the reliability for deploying serverless workflows. With Versions and Aliases, you can manage many versions of your workflows, keep track of the version used for each execution, and create aliases that direct traffic between different workflow versions.

This allows you to deploy workflows using proven techniques like blue-green and canary deployments, ensuring safety and minimizing downtime and risks. 

The best part is that there are no extra charges for Versions and Aliases, so you only pay for your actual usage based on existing AWS Step Functions pricing.

Visit page to gain more information.

AWS Introduced a New Service Called AWS AppFabric

AWS AppFabric is a fully managed no-code service that enables companies to connect multiple SaaS applications within a single console, enhancing security, management, and productivity without needing custom code development.

AWS AppFabric

It simplifies the integration of various SaaS apps like Atlassian Jira suite, Dropbox, Miro, Okta, Slack, Smartsheet, Webex by Cisco, Zendesk, Zoom, Google Workspace, and Microsoft 365, offering a unified view of application usage without the need for custom integrations.  It also integrates with security tools such as Logz.io, Netskope, NetWitness, Rapid7, and Splunk.

AppFabric simplifies application management and security by aggregating and normalizing log data into a central repository accessible to security tools. Employees can enjoy generative artificial intelligence (AI) to complete tasks faster.

The generative AI feature, powered by Amazon Bedrock, enhances productivity by automating actions and generating insights across applications.

To learn about AWS AppFabric, visit the documentation.

Introducing 10 New AWS Security Hub Controls in AWS Control Tower

AWS announces the addition of 10 new AWS Security Hub detective controls to the AWS Control Tower controls library. These new controls target services such as Amazon APIGateway, AWS CodeBuild, Amazon Elastic Compute Cloud, Amazon Elastic Load Balancer, Amazon Redshift, Amazon SageMaker, and AWS WAF

These controls allow users to meet control objectives for logging, monitoring, network access limitation, and data encryption at rest. These off-the-shelf AWS-managed controls ease the scaling of businesses with new AWS workloads and services.

By employing preventive, proactive, and detective controls, you can track whether your multi-account AWS environment is secure and managed under best practices, such as the AWS Foundational Security Best Practices standard.

To learn more about it, visit the documentation

Metric Export Capability Added to Amazon Simple Email Service (SES)

Users of Amazon SES can now export important deliverability metrics through the Virtual Deliverability Manager (VDM) dashboard. This new feature simplifies exporting performance indicators like delivery volume, complaint rate, and click rate to analysis tools such as spreadsheets for customized analysis.

The VDM dashboard provides a comprehensive view of deliverability data, focusing on account, ISP, sending identity, and configuration set levels. Users can access deliverability metrics in CSV format with the new metric export capability. 

This allows for greater flexibility enabling custom analyses, excel tools, and detailed graphs for deliverability performance.

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