Read our blog for the latest insights on sales and marketing Take Me There
Webinar: Use Sugar Data to Easily Generate Complex Documents Register
Webinar: Advanced Calendar Solution for Sugar Register
Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity available in the AWS Cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and other test & development workloads. Spot Instances are easy to launch, scale and manage through AWS services like Amazon EC2 Auto Scaling, Amazon ECS and Amazon EMR, or integrated third parties like Terraform and Jenkins.
Spot Instances can be launched via RunInstances API with a single additional parameter. You can also provision compute capacity across Spot Instances, RIs and On-Demand instances to optimize performance and cost using EC2 Auto Scaling, EC2 Fleet, and Spot Fleet. Spot Instances launched via these APIs are the same as any EC2 instance; they provide the reliability, security, performance, control, and elasticity of Amazon EC2, at a significant discount. Spot Instances are now available in the AWS GovCloud (US-East) Region. To learn more about Amazon EC2 Spot Instances, visit Amazon's documentation.
AWS GovCloud (US) is Amazon's isolated cloud infrastructure and services designed to address specific regulatory and compliance requirements of US government agencies, as well as contractors, educational institutions, and other US customers that run sensitive workloads in the cloud. Visit AWS GovCloud (US) homepage to learn more about these regions.
Starting today, Amazon EC2 A1 instances are available in the AWS Asia Pacific (Mumbai, Sydney, and Tokyo) and Europe (Frankfurt) Regions. A1 instances, introduced at re:Invent 2018, are the first EC2 instances powered by AWS Graviton Processors that feature 64-bit Arm Neoverse cores and custom silicon designed by AWS. A1 instances deliver significant cost savings for scale-out and Arm-based workloads. These include applications such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. These instances will also appeal to developers, enthusiasts, and educators across the Arm community.
With these additional regional launches, A1 instances are now available in the US East (N. Virginia and Ohio), US West (Oregon), Asia Pacific (Mumbai, Sydney, and Tokyo), and Europe (Frankfurt and Ireland) AWS Regions. A1 instances are available in 5 sizes, with 1, 2, 4, 8, and 16 vCPUs and are purchasable as On-Demand, Reserved, Spot, and Dedicated Instances, or as Dedicated Hosts.
Amazon SageMaker now supports a new fully managed option called Managed Spot Training for training machine learning models using Amazon EC2 Spot instances. Spot Instances let you take advantage of unused compute capacity in the AWS cloud, and as a result, you can optimize the cost of training machine learning models by up to 90% compared to on-demand instances.
Amazon SageMaker manages Spot instances on your behalf, so you don’t have to poll continuously for capacity. There is no need to build additional tooling as Amazon SageMaker enables your training jobs to run reliably as and when Spot capacity becomes available. Managed Spot Training can be used when training models built using the popular ML frameworks in SageMaker, SageMaker built-in algorithms, and custom built models. You can also use Managed Spot Training Automatic Model Tuning to tune your machine learning models.
Managed Spot Training is supported for all instance types available in Amazon SageMaker and in all AWS regions where Amazon SageMaker is available. You can refer to the AWS documentation for details and also learn more in the blog post.
Starting today, you can send diagnostic interrupts to your Amazon EC2 instances. Diagnostic interrupts help you debug unresponsive instances and conduct root cause analysis.
Prior to today, it was challenging to debug or root cause an unresponsive instance. Now, with a simple API call, you have an out-of-band method to trigger a kernel panic (blue screen error in case of Windows operating system) for an EC2 instance. You can use this capability to direct the operating system to perform tasks like creating a crash dump, loading a secondary kernel, or obtaining a call trace. For example, you can configure your instance to generate a crash dump file when a kernel panic is triggered. Crash dumps contain snapshots of your instance's memory, providing crucial data points to help with your root cause analysis.
Diagnostic interrupts are now available in all public AWS Regions and GovCloud (US).
To learn more and get started with this feature, see the documentation.
Amazon SageMaker is now available in 4 additional AWS regions in the Americas, Europe, and Asia Pacific. With this announcement, Amazon SageMaker is available in the South America (São Paulo), EU North (Stockholm), EU West (Paris), and Asia Pacific (Hong Kong) AWS regions.
Amazon SageMaker is a modular, fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker includes hosted Jupyter notebooks that make it easy to explore and visualize your training data. To help select your machine learning (ML) algorithm, SageMaker comes with the most common ML algorithms that are pre-installed and performance-optimized. Training models is quick and easy, using a set of built-in high-performance algorithms, pre-built deep learning frameworks, or using your own framework. To make the training even faster and easier, SageMaker can automatically tune your model to achieve the highest possible accuracy. Once your model is trained and tuned, it is easy to deploy in production so you can start generating real-time predictions on a fully-managed auto-scaling cluster.
Starting today, Amazon EC2 I3en and C5n bare metal instances are generally available. Amazon EC2 bare metal instances provide your applications with direct access to the Intel® Xeon® Scalable processor and memory resources of the underlying server. These instances are ideal for workloads that require access to the hardware feature set (such as Intel® VT-x), or for applications that need to run in non-virtualized environments for licensing or support requirements.
Bare metal instances allow EC2 customers to run applications that benefit from deep performance analysis tools, specialized workloads that require direct access to bare metal infrastructure, legacy workloads not supported in virtual environments, and licensing-restricted applications. Bare metal instances also make it possible for customers to run virtualization secured containers such as Clear Linux Containers. Workloads on bare metal instances continue to take advantage of all the comprehensive services and features of the AWS Cloud, such as Amazon Elastic Block Store (EBS), Elastic Load Balancer (ELB) and Amazon Virtual Private Cloud (VPC).
I3en instances offer up to 60 TB of low latency NVMe SSD instance storage and up to 50% lower cost per GB over I3 instances. These instances are designed for data-intensive workloads such as relational and NoSQL databases, distributed file systems, search engines, and data warehouses that require high random I/O access to large amounts of data residing on instance storage. I3en instances also provide up to 100 Gbps of networking bandwidth and come in seven instance sizes, with storage options from 1.25 to 60 TB. I3en bare metal instances are available in Asia Pacific (Tokyo, Seoul), Europe (Frankfurt, Ireland), US East (N. Virginia, Ohio), and US West (Oregon, N. California) regions. For more information, visit this page.
C5n instances are powered by 3.0 GHz Intel® Xeon® Scalable processors (Skylake) and provide support for the Intel Advanced Vector Extensions 512 (AVX-512) instruction set. C5n instances make 100 Gbps networking available to network-bound workloads without requiring customers to use custom drivers or recompile applications. Customers can also take advantage of this improved network performance to accelerate data transfer to and from S3, reducing the data ingestion wait time for applications and speeding up delivery of results. A wide range of applications such as High Performance Computing (HPC), analytics, machine learning, Big Data and data lake applications can benefit from these instances. C5n bare metal instances are available in Asia Pacific (Tokyo, Seoul, Singapore, Mumbai, Sydney), Europe (Frankfurt, Ireland), US East (N. Virginia, Ohio, AWS GovCloud), and US West (Oregon, AWS GovCloud) regions. For more information, visit this page.
Amazon EC2 Fleet simplifies the provisioning of EC2 capacity across different instance types, Availability Zones (AZs), and purchase options to optimize for scale, performance, and cost. Allocation strategies let you determine how EC2 Fleet should select from the instance types and AZs you have specified to fulfill the desired capacity.
Starting today, you can also provide a maximum total price for your EC2 Fleet, enabling you to control the total price you pay per hour for the fleet of instances. When you provide a maximum price, EC2 Fleet will attempt to fulfill all your desired capacity, but will stop provisioning instances before exceeding your maximum fleet price. In other words, when using maximum total price, EC2 Fleet will stop fulfilling instances when either your target capacity or total price is met.
Amazon EC2 Fleet and Target Maximum Price is available in all public Regions. To learn more about simplifying the provisioning of Amazon EC2 capacity across different Amazon EC2 instance types, AWS Availability Zones and across On-Demand, RI and Spot purchase models using Amazon EC2 Fleet, visit this blog. To learn more about Amazon EC2 pricing models, visit this page.
Amazon EC2 Fleet simplifies the provisioning of Amazon EC2 capacity across different Amazon EC2 instance types, Availability Zones, and On-Demand, Amazon EC2 Reserved Instances (RI) and Amazon EC2 Spot purchase models. With a single API call, you can provision capacity across EC2 instance types and purchase models to achieve desired scale, performance, and cost.
Until today you could only add or remove Spot Instances in a running fleet, which meant if you wanted to scale On-Demand, a new EC2 Fleet would have to be created. Starting today, customers can modify On-Demand Target Capacity in a running fleet, simplifying capacity provisioning and cost optimization across instances and purchase options.
Amazon EC2 Fleet is available in all public Regions. To learn more about simplifying the provisioning of Amazon EC2 capacity across different Amazon EC2 instance types, AWS Availability Zones and across On-Demand, RI and Spot purchase models using Amazon EC2 Fleet, visit this blog. To learn more about Amazon EC2 pricing models, visit this page.
Starting today, Amazon EC2 I3en instances are available in the AWS GovCloud (US-West) and Asia Pacific (Singapore) AWS Regions. I3en global availability now includes the Asia Pacific (Tokyo, Seoul, Singapore), Europe (Frankfurt, Ireland), US East (N. Virginia, Ohio), US West (Oregon, N. California), and AWS GovCloud (US-West) regions.
I3en instances offer up to 60 TB of low latency NVMe SSD instance storage and up to 50% lower cost per GB over I3 instances. These instances are designed for data-intensive workloads such as relational and NoSQL databases, distributed file systems, search engines, and data warehouses that require high random I/O access to large amounts of data residing on instance storage. I3en instances also provide up to 100 Gbps of networking bandwidth and come in seven instance sizes, with storage options from 1.25 to 60 TB. For more information, visit this page.