Azure Fashion Infrastructure Lambda 
Cloudera
SEPTEMBER 30, 2022
Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. DataFlow Deployments.
Modus Create
MAY 15, 2023
Keyword searches for serverless | source: Google Trends Serverless architecture allows developers to create products without managing the underlying infrastructure. Since it was an isolated feature, we created a separate Lambda function for it on AWS. You have to plan the architecture upfront to avoid complications during migration.
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Atomic Spin
MARCH 18, 2019
They float like oak leaves along a wide river of user expectations, business requirements, fashion trends, and platform changes. For now, we’re going to pull out our duct tape and (stainless steel) drinking straws and build just enough infrastructure to help your content authors move quickly without breaking the bank.
Atomic Spin
MARCH 18, 2019
They float like oak leaves along a wide river of user expectations, business requirements, fashion trends, and platform changes. For now, we’re going to pull out our duct tape and (stainless steel) drinking straws and build just enough infrastructure to help your content authors move quickly without breaking the bank.
Daniel Bryant
SEPTEMBER 2, 2018
Creating an Efficient Inner-Development Loop The ability to define cloud infrastructure as code and provision this on-demand has been revolutionary in the way we deploy software. However, although the initialisation of the infrastructure is fast, it is typically not instantaneous (as you might want, say, in a TDD cycle).
Confluent
FEBRUARY 27, 2019
Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., The more recent developments around AWS Step Functions and Azure Durable Functions (patterns) reveal future direction.
The Agile Monkey
NOVEMBER 27, 2018
Why Serverless Again, this has been covered in a lot of depth elsewhere, but I wanted to quickly list the pro’s and con’s that made The Agile Monkeys embrace serverless: Benefits No need to manage infrastructure?—?Everything Replication of production like infrastructure?—?For Black box infrastructure and services?—?Obviously,
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