Category: Cloud Design Goals

AWS Technology

Improperly sized EC2 instances can have a dramatic impact on both cloud costs and workload performance.   Workloads lacking adequate resources are at risk of running out of CPU or memory. Autoscaling can help address

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Cloud Design Goals
Data and Disk backup using RAID 0 and RAID 1

Redundant Array of Independent Disks (RAID) is a technology for storage units that offers a balanced flow and plenty of benefits, such as better fault tolerance, enhanced reliability, and high performance. It combines two or

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Cloud Design Goals
Backup and Recovery Use Cases Overview

Backup and Recovery is an important part of IT resilience.  Application and Platform owners need to work together to provide automation and tooling to allow us to back up data, images, code and configuration templates,

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Cloud Design Goals
Surviving Ransomware attacks

Understanding infrastructure ransomware Ransomware is a type of malware that targets anything it can get into — including backups — to steal or lock up as much data as quickly as possible. Data theft is

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Cloud Design Goals
Mainframe Virtualisation and the Cloudy

  Many large firms, especially Banks and Financial Institutions are moving to a Mainframe-Multi Cloud model of computing.  This is a long term effort still in train and includes the following stages:   multiple addresses

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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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