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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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Evolution of Netflix Conductor:

The Netflix TechBlog

If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor. The Netflix Media Database (NMDB) is one such example. Instead of creating workers for simple evaluations, Lambda task enables the user to do this inline using simple Javascript expressions.

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What is Google Cloud Functions?

Dynatrace

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

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Top 9 web development trends to expect in 2022

Enprowess

Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. Here are some of the most popular toolsets used to design and document APIs: Swagger. Serverless Computing – AWS Lambda – Amazon Web Services.

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Optimizing CDN Management Using Terraform

IO River

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.Ă‚

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Optimizing CDN Management Using Terraform

IO River

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.

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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

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