Amazon SageMaker enables customers to deploy ML models to make predictions (also known as inference) for any use case. You can now deploy large models (up to 500GB) for inference on Amazon SageMaker’s Real-time and Asynchronous Inference options by configuring the maximum EBS volume size and timeout quotas. This launch enables customers to leverage SageMaker’s fully managed Real-time and Asynchronous inference capabilities to deploy and manage large ML models such as variants of GPT and OPT.
Amazon Personalize increases limits for all customers, simplifying large scale deployments
We are excited to announce that Amazon Personalize is increasing service limits and quotas for existing and new customers, making it easier to deploy Personalize at scale. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Prior to this launch, limits on the use of certain Personalize resources and the rate of data import API calls were set at the AWS account level. For example, customers could use a maximum of 10 filters at a given time in their AWS account. Similarly, customers were limited to 1,000 PutEvent requests per second for their AWS account. With this launch, Personalize transitioned these limits and others from an account level to a dataset group (DSG) level. Customers can now have up to 10 filters and 1,000 PutEvents per second, per DSG. You can create up to 5 dataset groups per account, meaning you can create a total of 50 filters and 5,000 PutEvents per second for each AWS account. This means higher capacity from Amazon Personalize for customers with multiple use-cases or multiple tenants using Amazon Personalize in their applications. These improvements also make it easier to request limit increases. By simply requesting an increase for DSGs via the AWS quotas console , customers will also benefit from increased limits on other resources and API rates, when aggregated at the account level.
Applications using Amazon SNS to send SMS can now be hosted in four new regions
Customers that use Amazon Simple Notification Service (Amazon SNS) can now host their applications in Europe (Milan), Africa (Cape Town), Asia Pacific (Osaka), and AWS GovCloud (US-East) regions, and send text messages (SMS) to consumers in more than 200 countries and territories. Using Amazon SNS, customers can send a message directly to one phone number , or multiple phone numbers at once by subscribing those phone numbers to a topic and sending messages to the topic.
Amazon RDS for MySQL supports new minor version 8.0.30
Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 8.0.30. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and, to benefit from the numerous fixes, performance improvements, and new functionality added by the MySQL community.
AWS Security Hub launches a new security best practice control
AWS Security Hub has launched a new control for its Foundational Security Best Practice standard (FSBP) to enhance your Cloud Security Posture Management (CSPM). This control conducts fully-automatic checks against security best practices for AWS Auto Scaling. If you have Security Hub set to automatically enable new controls and are already using AWS Foundational Security Best Practices, the control is enabled for you automatically. Security Hub now supports 224 security controls to automatically check your security posture in AWS.
AWS Firewall Manager adds support for AWS WAF custom requests and responses
AWS Firewall Manager now enables you to configure AWS WAF to add custom web requests and responses.
Announcing the composite slot type for Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build sophisticated, natural language, conversational bots (“chatbots”), virtual agents, and IVR systems. Today, Amazon Lex introduces the composite slot type. A slot is used to capture user input and provide the bot the necessary information to fulfill a task. In some cases, the information contains multiple values, each requiring its own slot. For example, a customer making a payment may confirm credit card details to the bot (“Card ending in 5678 with an expiration of September 2025 and billing zip 94105”). Previously, bot builders had to elicit each slot individually (e.g., “Please provide last 4 of the card number”, “Now, please provide the expiration date on the card”). With the composite slot type, Amazon Lex can capture the full user response at once and associate each piece of information with the appropriate slot.
The Saddest Of Mornings
So many people are feeling loss this morning. We’ve lost a wonderful example of how holding the grandest of titles needn’t rule out living in a down-to-earth, wise, human way. To be carrying out public duties two days before her death says everything about her quality. A lot of us will be sadder for quite …
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Solving Inequality
Everyone knows that one of the greatest problems is inequality of wealth, with the super-rich getting richer and the poor getting poorer. Few politicians know how to solve the problem, Bill Davidow, author of the bible of tech salesmanship ‘’Marketing High Technology’ wrote an article for The Atlantic in 2014 showing how this coukd best …
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Princeps signs Hammond
Princeps, the specialist distributor of obsolete and difficult-to-source electronic, electrical and e-mech components, has signed an distribution agreement with Hammond Manufacturing. Princeps is supplying Hammond’s complete portfolio of electrical enclosures, which can be modified and customised in-house to suit specific customer requirements. Hammond manufactures a huge range of electrical enclosures in metallic and non-metallic materials …
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