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DZone Repost: Testing Serverless Functions

OpenCredo

Serverless computing, or functions-as-a-service, has picked up a lot of attention and speed due to its cost-effective pay-as-you-go price offering, multi-language/runtime support, as well as its easy learning curve without any need to provide the infrastructure layer. Writing serverless functions should also adhere to these same practices.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

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.

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14 in-demand cloud roles companies are hiring for

CIO

Skills: Knowledge and skills for this role include an understanding of implementation and integration, security, configuration, and knowledge of popular cloud software tools such as Azure, AWS, GCP, Exchange, and Office 365. Role growth: 27% of companies have added cloud systems admin roles as part of their cloud investments.

Cloud 324
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Event Driven Load Testing

OpenCredo

This blog post explores how, through some smart automation techniques, testing strategies can be adapted to support scale-up organisations where there are potentially many disparate teams needing to work together. If they discover a problem then they write a test to confirm and deliver results manually to the appropriate engineering team.

Testing 59
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Continuous deployment for Azure functions

CircleCI

Serverless computing , a model in which the provider manages the server, lets developers focus on writing dedicated pieces of application logic. Serverless computing has been adopted by many development teams because it auto-scales. Almost every big cloud computing service provider has their own version of serverless offerings.

Azure 52
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Innovative Technology for an Advanced Security Ecosystem: Challenges and Solutions

Perficient

At the center of digital transformation, we face the exciting challenge of creating an ecosystem driven by high-performance, interconnected microservices developed in diverse languages such as Java, C#, JavaScript, and Python. At Perficient we extract the best of each language to shape an agile and efficient ecosystem.

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4 remedies to avoid cloud app migration headaches

CIO

And while Kubernetes is an industry standard, implementations of it, such as Azure Communication Services and Google Kubernetes Engine, don’t work identically. Managing these challenges requires meticulous planning, thorough testing, and a well-defined rollback strategy,” says Del Giudice.

Cloud 312