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AWS Auto Scaling allows the user to scale the Amazon EC2 computer resources up or down automatically as per the defined conditions. The user can configure auto scaling as per the requirement. The Amazon Web Services also provides Elastic Load Balancing (ELB) to manage the traffic on a fleet of Amazon Elastic Compute Cloud instances.

When the AWS EC2 resources are managed by ELB, adding new resources to ELB will ensure that the additional traffic is well distributed to the new resources and the application performance is maintained.

The present guide demonstrates how to configure Auto Scaling with Cloudwatch and ELB. Since AWS does not provide the management console for Auto Scaling, all the tasks would be performed by CLI.

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The benefits of migrating workloads between different cloud providers or between private and public clouds can only truly be redeemed with an understanding of the cloud business model and cloud workload management. To discuss these benefits, we brought together Joe Weinman, author of Cloudonomics, and Patrick Pushor, founder of CloudChronicle.com.

In a conversation that was aired live on May 16, 2022, Joe and Patrick discussed the basics of managing workloads across the cloud, the benefits of migrating cloud workloads between private, public, and hybrid clouds, and the business value of cloud computing.

Check out their conversation here!

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“Everything fails, all the time” Werner Vogels, CTO at Amazon.

The Cloud Will Fail

Hurricanes, BIOS updates, earthquakes, DNS failures, SSL certificates, storms … these were responsible for the last years cloud outage in cloud services and traditional data center infrastructure. What do they have in common?

Bad luck? Bad practice? Consequences? Maybe, what they teach us is that we need a “Plan B”.  If the core of our business is on the Internet, we need a disaster-proof infrastructure that enables us to stay on track (or recover) within a feasible time defined in our Business Continuity Plan. In this post I will focus on disaster recovery and its various facets. Before getting into the technical side, let me review some basics.

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AWS Auto Scaling allows the user flexibility to achieve horizontal scalability by automatically adding or removing the Amazon EC2 compute resources. AWS does not charge separately; it charges for all the additional EC2 compute resources. It is important for the user to know when Auto Scaling has added new resources and when resources have been removed. Auto Scaling can be configured with Simple Notification Services (AWS SNS) to get the notification when a new EC2 instance is launched or terminated.

The present guide demonstrates how to configure Auto Scaling to send an email notification when Auto Scaling adds or removes the EC2 computer resources. Since AWS does not provide the management console for Auto Scaling, all the tasks would be performed by Auto Scaling  CLI.

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The benefits of migrating workloads between different cloud providers or between private and public clouds can only truly be redeemed with an understanding of the cloud business model and cloud workload management. It seems that cloud adoption has reached the phase where advanced cloud users are creating their own hybrid solutions or migrating between clouds while striving to achieve interoperability values within their systems. This article aims to answer some of the questions that arise when managing cloud workloads.

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AWS Auto Scaling provides horizontal scaling by automatically adding or removing computer resources for the application hosted on AWS. The present guide demonstrates how to configure Auto Scaling to scale based on a schedule. Auto Scaling is ideally suited for an application where there is a requirement for scalability.

AWS does not provide an AWS Management console for Auto Scaling. Thus, all the operations should be performed through CLI or API. When the user wants to configure Auto Scaling for their resources, it is required to follow certain steps. The first step is to create a launch configuration, which defines resources, such as the AMI, EBS or Instance Type or detailed monitoring to be added by Auto Scaling.

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Windows Azure provides the IaaS offering to host or run the user’s applications with virtual machines. A virtual machine is a server, which the user can access, control or manage as per the requirement and is created from the Virtual Hard Disk (VHD). The guide demonstrates how to detach a data disk from a Linux virtual machine and delete it from the storage in Windows Azure.

The virtual machine in Azure offers various kinds of disks, such as an OS disk, a local temporary disk or a data disk. The data disk is an optional disk, which is similar to a Virtual Hard Disk (VHD). Azure allows creating a blank disk in the Azure cloud as well as importing the local data disk to Azure. Windows Azure allows attaching or detaching a data disk any time to an Azure cloud VM. However, there is a cap for attaching the maximum number of disks based on the VM size.

When a disk is detached from the VM, it is not automatically deleted from the storage. This disk can be reused and attached to the same or another VM. In a Linux machine, where the data disk is mounted to the VM, it is required to unmount it first before detaching.

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AWS Auto Scaling provides horizontal scaling by automatically adding or removing computer resources for the application hosted on AWS. Auto Scaling is ideally suited for an application where there is a requirement for scalability.

AWS does not provide an AWS Management console for Auto Scaling. Thus, all the operations should be performed through CLI or API. When the user wants to configure Auto Scaling for their resources, it is required to follow certain steps. The first step is to create a launch configuration, which defines resources, such as the AMI, EBS or Instance Type or detailed monitoring to be added by Auto Scaling.

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AWS Auto Scaling provides horizontal scaling by automatically adding or removing compute resources for the application hosted on Amazon AWS cloud. Auto Scaling ensures that the number of Amazon EC2 instances increases seamlessly when the demand escalates for maintaining the application performance, and decreases automatically when the demand declines for minimizing the costs. This guide demonstrates how to configure Auto Scaling to scale manually with a fixed number of instances.

AWS does not provide an AWS Management console for Auto Scaling. Thus, all the operations should be performed through CLI or AWS APIs. When the user wants to configure Auto Scaling for their resources, it is required to follow certain steps. The first step is to create a launch configuration, which defines resources, such as the AMI, EBS or Instance Type, or detailed monitoring to be added by Auto Scaling.

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Windows Azure Web Sites offer a really nice and easy way to host applications written in a variety of languages. It also supports a variety of ways to push code, including Git, GitHub, Team Foundation Service, Codeplex, and Dropbox. For simplicity sake (and because I hadn’t tried it yet), I chose to deploy via Dropbox.

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