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InfoQ Homepage EC2 Content on InfoQ

  • Amazon Introduces the Predictive Scaling Feature to EC2 Instances

    In a recent blog post, Amazon announced they made Auto Scaling for EC2 instances more powerful with the addition of a predictive scaling feature. Furthermore, with this new feature, customers can create a scaling plan without the need to tweak autoscaling over time manually.

  • Amazon Releases a New Session Manager in AWS Systems Manager

    Amazon released a new Session Manager in the AWS Systems Manager. This new session manager will provide a new of way of shell-level access to EC2 instances. IT Administrators can now use a new browser-based interactive shell and a command-line interface (CLI) to manage their Windows and Linux instances.

  • AWS EC2 Fleet: Manage Thousands of On-Demand and Spot Instances with One Request

    Amazon announced EC2 Fleet, a new feature that gives customers a unique ability to create fleets composed of a combination of EC2 On-Demand, Reserved, and Spot Instances, by using a single API. Moreover, the customer can specify what capacity and instance-wise VM's it requires, and AWS will launch, manage, monitor and scale instances that they need, without writing any scaffolding code.

  • Amazon Increases Network Bandwidth for EC2 Instances

    Amazon announced it increased the bandwidth in all AWS regions for traffic between current-generation EC2 instances and the latest Amazon Machine Images (AMIs). With the increase, customers will be able to move data more efficiently. Furthermore, the increase will raise the networking bar among the public cloud providers.

  • AWS Streamlines Amazon EC2 Spot Instance Pricing Model and Operational Complexity

    Amazon Web Services (AWS) recently introduced significant changes on how to request and operate Amazon EC2 spot instances, which can provide considerable cost savings. Users can now request spot instances without specifying a bidding price, spot prices are adjusted more gradually, and spot instances can also be stopped or hibernated and later resumed to further optimize interruptible workloads.

  • AWS re:Invent 2017 Announcements: Managed Kubernetes, Serverless RDBMS & DynamoDB Global Tables

    At the AWS re:invent 2017 conference, held in Las Vegas, USA, several new compute and storage features were announced, including: EKS, a fully managed Kubernetes service; AWS Fargate, a service to run containers without managing servers; Amazon Aurora Multi-Master; Amazon Aurora Serverless; DynamoDB Global Tables and on-demand backup; and Amazon Neptune, a fully managed graph database.

  • AWS Establishes Per-Second Billing for EC2 Instances

    AWS instituted a per-second billing model for EC2 instances and EBS volumes on the 2nd of October.

  • AWS Adds Scale-Friendly Network Load Balancer to its Arsenal

    AWS expanded the Elastic Load Balancer (ELB) service with a new product catered to high-performing applications. The Network Load Balancer is a Layer 4 TCP component designed to handle bursts of traffic and millions of requests per second.

  • Amazon Adds Target Tracking Support for EC2 Auto Scaling

    Auto Scaling cloud resources is nothing new in AWS. However, Amazon recently announced a new Target Tracking policy that gives customers more granular control over how their application scales. Target Tracking policies allow an administrator to target a specific metric that will drive how and when the EC2 resources will scale.

  • AWS re:Invent Recap

    At their annual re:Invent conference in Las Vegas, AWS unleashed a flurry of announcements about upcoming cloud services. Amazon outlined over two dozen new capabilities coming to the public cloud, including directly querying data in S3 object storage, building code as part of deployment pipelines, provisioning cheap virtual private servers, and moving data in bulk, ETL-style.

  • Amazon Introduces AWS Batch Preview

    At the recent AWS Re:Invent event, Amazon announced a new preview service, called AWS Batch. AWS Batch allows organizations to optimize their scheduling and workload execution across a cloud-based landscape. Amazon has built this service in response to many AWS customers building their own batch platforms using EC2 instances, containers and CloudWatch.

  • AWS Launches Amazon Linux Container Image

    AWS recently launched a Docker container image for its Amazon Linux operating system, complementing the EC2 specific Amazon Linux AMI with a versatile deployment option for custom cloud and on-premise environments. The image is available through the Amazon EC2 Container Registry (Amazon ECR), and also as an official repository on Docker Hub.

  • AWS Adds Multi-Cloud Scripting to EC2 Run Command Feature

    In late 2015, AWS unveiled the EC2 Run Command feature. It gave operators a single interface for running administrative tasks across a fleet of AWS servers. In June of this year, AWS expanded the scope of the feature to work with servers located in other clouds or data centers.

  • Netflix Details Evolution of Keystone Data Pipeline

    Netflix has shed light on how the company uses the latest version of their Keystone Data Pipeline, a petabyte-scale real-time event stream processing system for business and product analytics. This news summarizes the three major versions of the pipeline, now used by almost every application at Netflix.

  • AWS Release ‘Scheduled Reserved Instances’, Allowing EC2 Capacity to be Reserved on a Periodic Basis

    Amazon Web Services (AWS) have introduced ‘Scheduled Reserved Instances’, which enables EC2 compute capacity to be reserved at a discounted price for use on a periodic basis. For example, a EC2 instance type can be reserved for daily usage between the hours of 01:00 UTC and 05:00 UTC to perform overnight data analysis, or weekly or monthly to perform compute-intensive calculations.

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