Amazon Web Services (AWS) today announced Rate-based Rules for AWS WAF. This new rule type protects customer websites and APIs from threats such as web-layer DDoS attacks, brute force login attempts and bad bots. Rate Based Rules are automatically triggered when web requests from a client exceed a certain configurable threshold.
Quelle: aws.amazon.com
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring you to manage cache invalidation, data population, or cluster management. Now you can simply focus on building great applications for your customers without worrying about performance at scale.
Quelle: aws.amazon.com
Amazon WorkSpaces now provides you additional options to manage which client devices can access your WorkSpaces. This new feature allows you to limit WorkSpaces access to trusted devices only. You can manage access to your WorkSpaces from macOS and Microsoft Windows PCs using your digital certificates. You can also allow or block access for iOS, Android, Chrome OS, and zero clients, as well as the WorkSpaces Web Access client. With these new capabilities, you can further improve your security posture.
Quelle: aws.amazon.com
AWS Budgets lets you set custom AWS cost and usage budgets and receive notifications if your budget thresholds are breached. You can set budgets to monitor your total monthly costs or use the available filtering dimensions to track the costs associated with a specific linked account, usage associated with an AWS service, costs by one or more tagged groups, and more. Starting today, your linked accounts will also have access to AWS Budgets.
Quelle: aws.amazon.com
AWS Schema Conversion Tool (SCT) can now export data from a wider range of commercial data warehouses. You can convert and extract data from legacy versions of Teradata (version 13 and above) and Oracle Data Warehouse (version 10g and above) for direct import into Amazon Redshift, without first performing an in-place upgrade.
Quelle: aws.amazon.com
We are excited to announce that Amazon CloudWatch Events now supports Amazon Kinesis Firehose as a target. Amazon CloudWatch Events enables you to respond quickly to application availability issues or configuration changes that might impact performance or security by notifying you of AWS resource changes in near-real-time. You simply write rules to indicate which events are of interest to your application and what automated action to take when a rule matches an event. You can, for example, invoke AWS Lambda functions or notify an Amazon Simple Notification Service (SNS) topic.
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Amazon Aurora is now available to customers in the AWS EU (Frankfurt) region. This increases the number of available regions to twelve, giving you another option for database placement, availability and scalability.
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Customers are now able to use three Availability Zones (AZs) in the EU (Frankfurt) Region. We launched the third AZ in response to continued growth in the use of AWS in Germany and to provide customers with additional flexibility to architect applications across multiple AZs in Germany for high availability and fault tolerance. This launch brings AWS’s global AZ total to 43 AZs within 16 geographic Regions around the world.
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Amazon AppStream 2.0 now provides built-in user management and web portals for users. These features allow you to easily onboard your users from within the AppStream 2.0 management console, without having to create a custom identity solution or use SAML 2.0 federation. In just a few clicks, you can create and manage users, grant them access to applications, and send them welcome e-mails with login information. The users you create within AppStream 2.0 can then use a web portal to log in and choose the applications they want to use.
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AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and resource requirements of jobs submitted to job queues. With AWS Batch, there is no need to install and manage batch computing software or server clusters, allowing you to instead focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads which run on Amazon EC2 and Spot Instances.
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