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When computing is serverless and managed by a cloud provider and servers have high uptime, failovers are handled automatically. This can be a major advantage and helps save a lot of time for developers. Serverless computing is highly elastic and can scale up or down based on usage. Saving all of this time helps increase developers' productivity. This approach also removes the need for patching servers or managing autoscaling. Developers can start coding right away without needing to manage the server. Since serverless computing refers to fully managed services provided by a cloud provider, there is no need for developers to provision servers or develop server applications. Serverless computing, such as AWS Lambda, can easily help save costs because there is no need to pay during idle times. When there is an unpredictable change in traffic volume, you need to scale the server up or down based on usage patterns, but scaling with self-managed autoscaling can be difficult and inefficient. Pay as you go is one of the main advantages of using serverless technology.
#CAN WE RUN LOCAL DYNAMODB UPGRADE#
With this type of service, we no longer needed to maintain physical servers or upgrade physical hardware. In 2006, when Amazon started AWS and introduced its EC2 service, the era of modern cloud computing began. With cloud computing, these servers no longer need to be owned physically.
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Traditionally, servers were on-premises, which means buying and maintaining physical hardware.
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In this post, we will focus on server management and maintenance.
#CAN WE RUN LOCAL DYNAMODB SOFTWARE#
Maintenance includes software patches and server maintenance. Developing software can be challenging, but maintaining it is far more challenging.