Remove Architecture Remove Azure Remove Lambda Remove Load Balancer
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Third Party Optimization Tools v. AWS Native Tools

Hypergrid

Trusted Advisor (charged as a percentage of total AWS spend) makes recommendations to reduce cost, including identifying target EC2 instances to convert to RIs, underutilized EC2 resources such as instances, load balancers, EBS volumes and Elastic IP addresses. Lambda – Cost Optimization. Recommend alternate clouds.

AWS 40
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Third Party Optimization Tools Over AWS Native Tools ?

Hypergrid

Trusted Advisor (charged as a percentage of total AWS spend) makes recommendations to reduce cost, including identifying target EC2 instances to convert to RIs, underutilized EC2 resources such as instances, load balancers, EBS volumes and Elastic IP addresses. Lambda – Cost Optimization. Recommend alternate clouds.

AWS 40
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AWS vs Azure vs Google Cloud: What’s the best cloud platform?

Openxcell

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform.

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Creating Your Own Serverless Cloud with Fn Project

Gorilla Logic

Serverless computing, or more simply “Serverless,” is not easy to define, but for the sake of this article, we can loosely define it as a software architecture trend that reduces the notion of infrastructure. The chosen platform manages the resources, allowing developers to just focus on their code.

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Hack day experiments with the cloud and orchestration of serverless functions

Bernd Rucker

The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift. I tried Azure and Google and could easily provision my services on both and assign a public IP to my services with ease. Sounds great!

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Do I really need Kubernetes?

CircleCI

But scaling is usually more about the application’s internals than about the high-level architecture and tooling. For instance, you can scale a monolith by deploying multiple instances with a load balancer that supports affinity flags. Together, these practices will make your life easier if you do eventually need Kubernetes.

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Understanding API Gateway: When You Need It and How to Implement

Altexsoft

It’s also an architectural pattern, which was initially created to support microservices. A tool called load balancer (which in old days was a separate hardware device) would then route all the traffic it got between different instances of an application and return the response to the client. Load balancing.