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AWS Santa Clara Summit 2019 – Key Takeaways & Insights


AWS Santa Clara Summit was designed to bring together the community of cloud computing to connect and collaborate. The agenda of these summits is to teach the audience “How to adopt the public cloud?” Technical sessions, workshops, chalk talks, and team challenges are part of the conference training.

A robust expo rounds out the event with an opportunity to engage with technology vendors that are part of the AWS partner ecosystem. The objective is to help organizations build their cloud strategy and ensure that they are operating securely in the cloud.

We bring you all the key announcements from the much-awaited event of the first quarter of 2019 i.e. AWS Santa Clara Summit held on 27th of March at the Convention Center. There are various announcements that reflected how AWS is quickly adapting their services to meet the rapid cloud adoption rate and customer demands.

Let’s look at all such announcements:

Amazon S3 Glacier Deep Archive

Amazon Web Services announces the general availability of Amazon S3 Glacier Deep Archive; a new Amazon S3 storage class that provides secure and durable storage of objects for long – term data retention that is rarely accessed in a year.

All the objects that you store in S3 Glacier Deep Archive storage class get replicated and stored across at least 3 geographically-dispersed Availability Zones, protected with 99.999999999% durability, and can be restored within 12 hours or less. It also offers a bulk retrieval option, where you can retrieve petabytes of data within 48 hours.

Amazon Web Services offers S3 Glacier Deep Archive for just $0.00099 per GB-month equivalent to $1 per TB-month. S3 Glacier Deep Archive offers the lowest cost storage in the cloud at prices lower than data storage and maintenance in on-premises magnetic tape libraries or archiving data offsite.

Tape Gateway with Amazon S3 Glacier Deep Archive Storage Class

The AWS Storage Gateway service now integrates Tape Gateway with the Amazon S3 Glacier Deep Archive storage class, enabling you to store virtual tapes in the lowest cost Amazon S3 storage class, reducing the monthly cost of storing your long – term data in the cloud by up to 75 %.

Tape Gateway helps you to move tape-based backups to AWS without changing your existing backup workflows. In this, you need to connect your existing backup application to a virtual tape library on the Tape Gateway (deployed as a virtual or hardware appliance). Tape Gateway compresses, encrypt, and move your tapes to Amazon S3’s virtual tape library.

App Mesh

Amazon Web Services makes App Mesh generally available and supported for production use. App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across multiple types of computing infrastructure. App Mesh standardizes how your services communicate, providing you end-to-end visibility and ensuring high-availability for your applications.

AppMesh makes it easy to manage services by providing consistent visibility and network traffic controls for services built across multiple types of computing infrastructure. AWS gives support of App Mesh with AWS Fargate, Amazon EC2, Amazon ECS, Amazon EKS, and Kubernetes that are running over AWS, for the better run of your application at scale.

New Amazon EC2 M5ad and R5ad Featuring AMD EPYC Processors

The availability of Amazon EC2 M5ad and R5ad instances is announced by Amazon Web Services (AWS). These new instances are variants of M5 and R5 instances and feature AMD EPYC processors with an all – core turbo clock speed of up to 2.5 GHz as well as SSD level instance storage based on NVMe physically connected to the host server. M5ad and R5as instances provide additional options for customers who are seeking to gain 10% cost saving on their Amazon EC2 compute environment for a variety of workloads.

Amazon Redshift announces Concurrency Scaling

Now, Amazon Redshift automatically and elastically scales query processing power to deliver consistently fast performance for hundreds of concurrent queries. In Concurrency Scaling, resources are added transparently to your Redshift Cluster in just a few seconds; as concurrency increases, the processing time of queries decreases. Amazon Redshift automatically shuts down Concurrency Scaling resources once the demand for workload subsides to save you costs. You can also continue to use your existing applications and Business Intelligence tools without any changes.

AWS Deep Learning Containers

As per Amazon Web Services,” AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning environments quickly. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon.”

You can deploy AWS DL Containers on

  1. Amazon Elastic Container Service for Kubernetes (Amazon EKS)
  2. self-managed Kubernetes
  3. Amazon Elastic Container Service (Amazon ECS)
  4. Amazon EC2.

These containers will be available through Amazon Elastic Container Registry (Amazon ECR) and AWS marketplace at no cost. It will allow you to pay only for the resources that you use.

Application Load Balancers now Support Advanced Request Routing

Application Load Balancers now support request routing based on standard or custom HTTP headers, methods, query parameters and source IP addresses. This launch extends the existing host header support and path-based routing rules in the Application Load Balancers to more fields from HTTP request messages. This richer set of routing criteria allows you to simplify your application architecture further by offloading the load balancer routing functionality. Advanced Request Routing also blocks the unwanted traffic of load balancer.

Amazon EKS Opens Public Preview of Windows Container Support

Now use Amazon Elastic Container Service for Kubernetes (EKS) as part of a developer preview to run Windows Server workloads. This preview enables you to take advantage of the latest functionality of Kubernetes. You can start validating the performance and stability of containerized Windows applications managed by Amazon EKS.

AWS Fargate and Amazon ECS Support External Deployment Controllers for ECS Services

As per the latest announcements, AWS Fargate and Amazon Elastic Container Service (ECS) will support the external deployment controllers for ECS services with the launch of task set management APIs. Task sets are a new primitive to enable controlled management of application revision within a single ECS service. Now you have new APIs to manage your application’s multiple revisions and move from one revision to another.

There are a few services that will be available to customers by the end of 2019. But several updates to EC2 instances are available now. Follow this blog for more updates from AWS Santa Clara summit.

Aditya Garg
Aditya Garghttp://www.centilytics.com
Aditya is the CEO & Founder at Centilytics with an undergraduate degree in Electrical and Computer Engineering from Georgia Tech and a Masters in Computer Science at Stanford. Between Centilytics and studies, he likes to hang out with friends and catch the latest movies.


Cloud Management