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What is SDLC (Software Development Life Cycle)?

Openxcell

SDLC stands for Software Development Life Cycle. Importance of SDLC. Now, there are countless advantages of SDLC to have for your design project. SDLC Phases. Planning Stage in SDLC. Define Requirements in SDLC. Software Development Life Cycle – Overview. Read further about Planning ?

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5 You’re Probably F**king Up Your Microservices

OverOps

It seems like everyone is into microservices these days, and monolith architectures are slowly fading into obscurity. In monolithic applications, it is reflected in the separation of Presentation, Business and Data Layers in a typical 3-tier architecture. Editor’s Note: This post was originally published on May 5, 2016.

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Top Disadvantages to Adopting Microservices (And Why You Should Do It Anyway)

OverOps

New system architectures introduce brand new skills, tools and processes that need to be learned. Using this data, users can identify issues much earlier in the SDLC, prevent them from progressing further into production, correlate their cause to either an operational or programmatic issue, reproduce immediately and take corrective action.

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NiFi as a Function in DataFlow Service

Cloudera

It allows customers to run micro applications that are triggered on specific events without the complexity of building and maintaining the architecture associated with the operation and launching of the applications. It also effectively provides a serverless architecture and is very widely used when building microservices applications.

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Software Development Life Cycle?—?The Ultimate Guide [2020]

Codegiant

It’s also essential that your team adheres to the proper SDLC model. This guide will be like the ultimate tutorial to SDLC. We’ll start by “What’s the definition of SDLC” and then transition to the different phases of the software development life cycle and its models. What are the advantages and disadvantages of SDLC?

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

Cloudera

CDF-PC’s DataFlow Deployments provide a cloud-native runtime to run your Apache NiFi flows through auto-scaling Kubernetes clusters as well as centralized monitoring and alerting and improved SDLC for developers. Serverless IOT event processing : Collect, process, and move data from IOT devices with serverless IOT processing endpoints (e.g:

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A brave new (generative) world – The future of generative software engineering

Capgemini

The evolution of microservices architecture lays the foundation for Generative Software Engineering. Just as object-oriented languages and cloud architectures opened new horizons for software development, Generative AI will pave the way for a future where software not only serves but anticipates and evolves with human needs.