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In this article, we covered the basics of disaster recovery (DR) and pilot flame architecture using the (AWS) cloud. This post describes the first step towards fault-tolerant architectures as we will explain now.

Functional Architecture of Low Capacity in Standby

A latent functional architecture, while being low capacity, represents a good start in the pursuit of high availability (HA), as it can replace the production infrastructure. Even with the limits resulting from low capacity, functional architecture can support production traffic and provide aid to scaling. You should change the structure of low capacity scaling in order to handle production load.

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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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In this post, I will show you how to clean up unused Amazon EBS Volumes and Snapshots.

This is worth doing as quite a collection can build up over time and Amazon Web Services has limits on the number of volumes and snapshots you can store; these limits can be increased, but you have to make a Request to Increase the Amazon EBS Volume Limit.

What are EBS Volumes?

Volumes behave like raw, unformatted block devices, with user supplied device names and a block device interface. You can create a file system on top of Amazon EBS volumes, or use them in any other way you would use a block device (like a hard drive).

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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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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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AWS Auto Scaling provides horizontal scaling by automatically adding or removing compute resources for the application hosted on AWS. The user can achieve Auto Scaling in different ways, such as maintaining the number of healthy instances or adding/ removing instances based on demand.

AWS does not provide the 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 AMI, EBS or Instance Type or detailed monitoring to be added by Auto Scaling.

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AWS is ideally suited for making the user’s applications tolerant to disaster. One of the options for making the user’s application suitable to DR is to keep a back up of the data / application setup in multiple regions. If the first region is not reachable due to some reason, the user can start the application from the other region. In Dec 2021 AWS introduced the functionality to copy snapshot across regions. In March 2022 AWS announced the functionality to migrate the AMI from one region to another. The present guide demonstrates how to copy an AMI from one region to other.

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In my journey through the cloud I often come across great new initiatives. The interesting fact is that although the cloud is a pure revolution terms such as SLA, TCO and ROI remain valid, new methodologies and techniques are presented to support them in the cloud.

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AWS Auto Scaling provides horizontal scaling by automatically adding or removing computer resources for the application hosted on AWS. The user can achieve Auto Scaling in different ways, such as maintaining the number of healthy instances or adding/ removing instances based on demand. The present guide demonstrates how to create, view or delete an Auto Scaling configuration.

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