Remove Azure Remove Lambda Remove Load Balancer Remove Testing
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

Allows them to iteratively develop processing logic and test with as little overhead as possible. With the general availability of DataFlow Designer, developers can now implement their data pipelines by building, testing, deploying, and monitoring data flows in one unified user interface that meets all their requirements.

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Creating Your Own Serverless Cloud with Fn Project

Gorilla Logic

While this trend still requires servers, developers don’t need to worry about load balancing, multithreading, or any other infrastructure subject. The solution can be hosted in any environment that supports Docker , like AWS , Microsoft Azure , Google Cloud Platform , and even your own server. . cd mathcalculations $ find./func.yaml./pom.xml./src/test/java/com/example/fn/HelloFunctionTest.java./src/main/java/com/example/fn/HelloFunction.java.

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Do I really need Kubernetes?

CircleCI

The task of building, testing and delivering your application to a container registry is not part of Kubernetes. Here, CI/CD tools for building and testing applications do the job. For instance, you can scale a monolith by deploying multiple instances with a load balancer that supports affinity flags.

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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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Automate releases from your pipelines using Infrastructure as Code

CircleCI

Implementing CI/CD and DevOps practices enables these teams to better leverage modern tools to build, test, and deploy their software with high confidence and consistentency. AWS, Azure, GCP, etc.) apply ( lambda args : generate_k8_config ( * args )). run : name : Run Tests. mkdir -p pulumi/gke cd pulumi/gke. . #

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

Altexsoft

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. Amazon API Gateway — for serverless Lambda development. Let’s discuss how it does that.