All posts by: Cloud Comrade

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Amazon Connect now gives you more options to dynamically route calls to the queue with the shortest wait time for your customers, or to a queue with idle agents to increase agent utilization, using new contact attributes for systems metrics. A contact attribute in Amazon Connect is data about a customer interaction and can be referenced in a contact flow to customize or personalize the experience. You can use these new attributes to determine where to route a particular call based on the queue thresholds you define.

Details: Since launching Amazon CloudFront in November 2008, we’ve been continuously expanding our infrastructure footprint around the world to improve availability and performance for content delivery. Today, we’re excited to announce the launch of two new Edge locations: one in Johannesburg, South Africa, and one in Bangalore, India. The Edge location in Johannesburg is Amazon CloudFront’s first PoP on the African continent. The addition of these two locations brings CloudFront’s global network to 119 points of presence in 58 cities, across 26 countries.

Amazon CloudFront’s expansion into South Africa further improves availability and performance of content delivery to viewers in the region. We expect that customers who use Amazon CloudFront to reach viewers in South Africa will see performance improvements of as much as 75% from reductions in latency for their content. The new Bangalore PoP is expected to increase CloudFront capacity in India by up to 25%.

In addition to reducing latency, these Edge locations also bring the full suite of benefits provided by Amazon CloudFront, such as Lambda@Edge, Field Level Encryption, and Amazon S3 Transfer Acceleration, as well as seamless integration with other AWS services like AWS Certificate Manager (ACM), AWS Shield, AWS WAF, AWS Simple Storage Service (S3), and Amazon Elastic Compute Cloud (EC2). These new Edge locations in Johannesburg and Bangalore are built to the same high standards as our other CloudFront Edge locations around the world, including infrastructure and processes that are all compliant with PCI, DSS, HIPAA, and ISO to ensure secure delivery of the most sensitive data.

Information about pricing for CloudFront, including pricing for the new South Africa Edge locations, can be found on the pricing page.

AWS Landing Zone is a solution that helps customers more quickly set up a secure, multi-account AWS environment based on AWS best practices. With the large number of design choices, setting up a multi-account environment can take a significant amount of time, involve the configuration of multiple accounts and services, and require a deep understanding of AWS services. This solution can help save time by automating the set-up of an environment for running secure and scalable workloads while implementing an initial security baseline through the creation of core accounts and resources.

Starting today, Amazon GameLift emits 18 new metrics that will give you deeper insight into what is happening with your Queue placements. These new metrics track information such as how often your lowest latency regions and lowest priced fleets are selected by Amazon GameLift Queues. With this data, you can optimize to lower latency for players on a global scale and reduce your server hosting costs. 

You can now use JupyterHub on Amazon EMR with EMR release 5.14.0. JupyterHub is a multi-user Jupyter notebook server that serves each user with their own Jupyter notebook interface. It allows multiple users to concurrently use their Jupyter notebooks, create and execute code and perform exploratory data analysis. JupyterHub on EMR is integrated with the Spark framework allowing you to perform interactive Spark queries on EMR clusters using Scala, PySpark, Spark R and Spark SQL kernels. You can also run Python jobs locally and take advantage of the many popular data-science libraries that are pre-installed in your notebook. Now, with EMR release 5.14.0, EMRFS, Amazon EMR’s connector for S3, supports auditing of users who ran queries that accessed data in S3 through EMRFS. This feature is turned on by default and will pass on user and group information to audit logs like CloudTrail, providing you with comprehensive request tracking. Besides auditing, EMRFS provides features like consistent view, S3 server-side and client-side encryption, and fine-grained authorization to S3.

You can launch JupyterHub by selecting “JupyterHub” from the list of applications to be installed when you configure and launch your cluster. Please visit the Amazon EMR documentation for more information about the EMR release 5.14.0, JupyterHub and EMRFS.

Amazon EMR release 5.14.0 is available in all supported regions for Amazon EMR.

Starting today, AWS CloudTrail’s event history will automatically log all read and write management events for supported AWS services. Event history lets you view, filter, and download your recent AWS account activity. This new release allows you to gain additional visibility into your account actions taken over the past 90 days without setting up a trail.