Category: Cloud Design Goals

Application Transformation
API Gateways vs a monolithic Service Bus

  APIs provide the standardized contract that was missing from the SOAP environment.  SOAP messaging and related protocols were used in the monolithic Service Bus Architecture or Enterprise Service Bus (ESB), in which device endpoints

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Cloud Design Goals
Disaster Recovery Patterns in AWS

There are four levels of DR protection in AWS. DR patterns: From least costly and complex to most.   1-Backup and restore. Admins typically choose this option for DR requirements such as minimizing data loss.

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Cloud Design Goals
Side Car Pattern for Containers

A common Cloud pattern especially with a container deployment model, is to use a side car in which we deploy components of an application into a separate process or container to provide isolation and encapsulation

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Cloud Design Goals
Cloud Native, some key ideas

Cloud native is a target model for most firms.  Cloud native refers to using the native services and API integrations, along with the platform’s native PaaS offerings (SDKs, databases, code build and deployment, IaC, CI-CD),

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Cloud Design Goals
3 Myths around Multi-Cloud

  Cloud is King, but at times the myths around the King are difficult to comprehend.  The ‘Cloud’ is a complete OSI stack and platform and there are extraordinarily obvious differences in implementation between the

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Cloud Design Goals
Docker – summary of what, when, why

  What are Docker containers? Docker containers are lightweight application hosting environments. Like VMs, they are designed to be easily portable between different computers and isolate workloads.   However, one of the main differences between

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Application Transformation
API LifeCycle Management, a summary

API and REST standards allowed an easier exchange of data and system connectivity.  This has propelled the rise of containers, and Kubernetes, in which applications are broken down into smaller services.  REST APIs are one

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