Pic 1: Newvem’s Availability Analysis
This article is an overview of the basic differences between Windows Azure and Amazon Web Services Cloud Services. When you are trying to figure out which is the best provider for your online business, consider the following requirements:
AWS Auto Scaling allows the user to scale the Amazon EC2 computer resources up or down automatically as per the defined conditions. Auto Scaling ensures that all the running instances are healthy by performing periodic health checks. Auto Scaling is resilient as it will automatically terminate the unhealthy instance and launch a new healthy instance, thereby maintaining the number of running instances as per the configuration and condition.
The present guide demonstrates how to configure a health check for ELB and mark an instance as unhealthy. Since AWS does not provide the management console for Auto Scaling, all the tasks would be performed by CLI.
Do you Auto-Scale your Cloud? Do you automatically shut down, resize or schedule your cloud compute resources?
Auto-scaling is one of the most important features for cloud computing. In order to really benefit from the cloud and ensure your capacity meets demand, you need to be able to scale your cloud’s allocated capacity automatically (up or down) at any given time.
In comparison to the limited capacity of the traditional data center, the cloud has (at least in principle) infinite resources; auto-scaling being the basic feature of this perception. Auto-scaling configuration should react to a variety of monitored thresholds such as CPU load or even RPS (requests per second).
AWS Auto Scaling provides horizontal scaling by automatically adding or removing the computer resources for the application hosted on AWS. Auto Scaling is ideally suited for applications where there is a requirement for scalability. Amazon CloudWatch is used for the basic monitoring of several AWS products including Auto Scaling. In basic monitoring, Amazon CloudWatch collects the data points sent by Auto Scaling every five minutes. AWS CloudWatch offers detailed monitoring for Amazon EC2 and Auto Scaling. In detailed monitoring, an AWS service sends the data points to Amazon CloudWatch every minute.
Instance metrics are the metrics that an individual Amazon EC2 instance sends to Amazon CloudWatch. They are the same for any Amazon EC2 instance, whether the instance is a part of an Auto Scaling group or not.
The present guide demonstrates how to enable detailed monitoring for Auto Scaling and collect the Auto Scaling group metrics. Since AWS does not provide the management console for Auto Scaling, all the tasks would be performed by CLI.
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.
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.
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.
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.
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.
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.
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.
