From the Open Group Business Architecture views, which address the concerns of the users of the system, and describe the flows of business information between people and business processes Data Architecture views, which address the
Most Big Data projects fail. There are many reasons for this, usually around the business reason for the project, and data quality (along with a lack of skills). A key part of ‘Cloud Transformation’ is
Virtual Machines and Monoliths can be valid. It is untrue that every application must be decomposed into microservices, and containers. Decomposed microservices architectures are difficult to build and operate, leading to higher costs. Not all
Monolithic applications may need to be decomposed in service-oriented components, to run and scale in lightweight containers. Similarly, monolithic Data architectures may need to be rebuilt into service-oriented Data flows and processes. This can transform
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that makes it easy to operate containerized workloads at scale. It also integrates with other core AWS services, such as Amazon Route
Infrastructure as code (IaC), attempts to codify the underlying deployment infrastructure. There are 2 broad categories: continuous deployment, or continuous delivery. They are slightly different concepts with continuous deployment seamlessly integrating with the usual ‘infinity
Containers and Virtual Machines both have a role within the modern Cloud architecture. Both possess some advantages and disadvantages. The graphics below summarises the key differences: Main use case for Cloud Containerisation is application
Most firms have issues with understanding their IT assets across environments. Many have more than 1 database of asset and configuration information; quite a few customise the configuration management database and make it difficult to
Using Agile within Cloud deployments can fail for the following key reasons: Culture of the firm is not democratized and does not allow for experimentation, failure, or subject matter expert control over technology components. The
Waterfall theologies are directly responsible for the failure of ~70% of IT projects of any size and variety. Forrester estimates that 68% of projects fail due to poor requirements gathering; Gartner regularly publishes reports outlining