AWS Compute Blog

Tag: Amazon EC2 Spot Instances

Understanding the lifecycle of Amazon EC2 Dedicated Hosts

This post is written by Benjamin Meyer, Sr. Solutions Architect, and Pascal Vogel, Associate Solutions Architect. Amazon Elastic Compute Cloud (Amazon EC2) Dedicated Hosts enable you to run software on dedicated physical servers. This lets you comply with corporate compliance requirements or per-socket, per-core, or per-VM licensing agreements by vendors, such as Microsoft, Oracle, and […]

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System architecture of the amazon ec2 dl1 instances.

Amazon EC2 DL1 instances Deep Dive

This post is written by Amr Ragab, Principal Solutions Architect, Amazon EC2. AWS is excited to announce that the new Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances are now generally available in US-East (N. Virginia) and US-West (Oregon). DL1 provides up to 40% better price performance for training deep learning models as compared to […]

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Efficiently Scaling kOps clusters with Amazon EC2 Spot Instances

This post is written by Carlos Manzanedo Rueda, WW SA Leader for EC2 Spot, and Brandon Wagner, Senior Software Development Engineer for EC2. This post focuses on how you can leverage recently released tools to optimize your usage of Amazon EC2 Spot Instances on Kubernetes Operations (kOps) clusters. Spot Instances let you utilize unused capacity […]

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Image shows Flink application deployment architecture with Job Manager, Task Manager, Scheduler, Data Flow Graph, and client.

Optimizing Apache Flink on Amazon EKS using Amazon EC2 Spot Instances

This post is written by Kinnar Sen, Senior EC2 Spot Specialist Solutions Architect Apache Flink is a distributed data processing engine for stateful computations for both batch and stream data sources. Flink supports event time semantics for out-of-order events, exactly-once semantics, backpressure control, and optimized APIs. Flink has connectors for third-party data sources and AWS […]

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AWS Fault Injection Simulator start screen in AWS Management Console

Implementing interruption tolerance in Amazon EC2 Spot with AWS Fault Injection Simulator

This post is written by Steve Cole, WW SA Leader for EC2 Spot, and David Bermeo, Senior Product Manager for EC2. On October 20, 2021, AWS released new functionality to the Amazon Fault Injection Simulator that supports triggering the interruption of Amazon EC2 Spot Instances. This functionality lets you test the fault tolerance of your […]

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Identifying optimal locations for flexible workloads with Spot placement score

This post is written by Jessie Xie, Solutions Architect for EC2 Spot, and Peter Manastyrny, Senior Product Manager for EC2 Auto Scaling and EC2 Fleet. Amazon EC2 Spot Instances let you run flexible, fault-tolerant, or stateless applications in the AWS Cloud at up to a 90% discount from On-Demand prices. Since we introduced Spot Instances […]

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Amazon EC2 Auto Scaling will no longer add support for new EC2 features to Launch Configurations

This post is written by Scott Horsfield, Principal Solutions Architect, EC2 Scalability and Surabhi Agarwal, Sr. Product Manager, EC2. In 2010, AWS released launch configurations as a way to define the parameters of instances launched by EC2 Auto Scaling groups. In 2017, AWS released launch templates, the successor of launch configurations, as a way to streamline […]

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Spark Deployment on Kubernetes Cluster

Running cost optimized Spark workloads on Kubernetes using EC2 Spot Instances

This post is written by Kinnar Sen, Senior Solutions Architect, EC2 Spot  Apache Spark is an open-source, distributed processing system used for big data workloads. It provides API operations to perform multiple tasks such as streaming, extract transform load (ETL), query, machine learning (ML), and graph processing. Spark supports four different types of cluster managers (Spark standalone, Apache […]

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Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

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Proactively manage the Spot Instance lifecycle using the new Capacity Rebalancing feature for EC2 Auto Scaling

By Deepthi Chelupati and Chad Schmutzer AWS now offers Capacity Rebalancing for Amazon EC2 Auto Scaling, a new feature for proactively managing the Amazon EC2 Spot Instance lifecycle in an Auto Scaling group. Capacity Rebalancing complements the capacity optimized allocation strategy (designed to help find the most optimal spare capacity) and the mixed instances policy […]

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