How to implement serverless event-driven architectures in AWS | Propel Data Analytics Blog
Propel Data
NOVEMBER 14, 2022
Learn the key AWS services to implement a performant and cost-effective serverless event-driven architecture.
Propel Data
NOVEMBER 14, 2022
Learn the key AWS services to implement a performant and cost-effective serverless event-driven architecture.
Knowledge Hut
MARCH 19, 2024
AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements.
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Scott Logic
APRIL 18, 2024
The IAP consists of a Typescript, React, and NextJS web application, deployed on AWS. From the main IAP web app (the admin app), the user clicks a button, which sends a request to AWS CodeBuild through the SDK, triggering a build. CodeBuild is AWS’s fully managed continuous integration service. You build something!
Cloudera
SEPTEMBER 30, 2022
With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.
Knowledge Hut
MARCH 22, 2024
These numbers show how widespread MongoDB has been in the current industry. In this blog, I will discuss all sorts of MongoDB careers , different job roles, key responsibilities, salaries, and top companies where you can apply for these positions easily. Interested in NoSQL databases? If so, you need to go somewhere else.
Towards Data Science
SEPTEMBER 5, 2023
Lessons learned from designing a cost-effective containerized data processing solution on Azure Written by: Johannes Schmidt As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers.
Towards Data Science
SEPTEMBER 8, 2023
Lessons learned from designing a cost-effective containerized data processing solution on Azure As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers. The result is written to a storage location once completed. — Image
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