Solution Architecture - Enterprise Application Architecture

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In the last article I touched upon some aspects of Solution Architecture at High Level. Today Let's talk about Enterprise Application Architecture.

It has two important aspects

• High Level Architecture and Application Development
• High Level Deployment and Operational

High Level Architecture and Application Development

It will have multiple aspects which needs to be considered:

1. Application Data Architecture
2. Digital Experience and Utilities
3. Web UI Architecture
4. Enterprise Macro View
5. Service Development
6. Enterprise Development
7. Development stack

In this article let's talk about Development Stack.

Purpose:

The Development Stack is a single page document that directs architects, developers and management to the approved options for software development and application composition. The items elaborated are in-line with the APM tool which is the authoritative resource. Where version is specified, it indicates the preferred supported version. This page is a quick reference for the technology stack that is elaborated in solution architecture documents and other technical artifacts. This page is living document and updated quarterly.??

Scope:

The scope of this page includes tools used during the Application Development lifecycle, from design through code. This can be a comprehensive list but not an exhaustive list. There are items not elaborated and this is by design.

Usage:

This is a quick reference for architecture/design and development team members and should be used along with additional specific guidance provided by other technical artifacts on Architectural Repository. For example, handbooks, patterns, and strategy artifacts. Specific usage within the context of a solution under construction must be reviewed by specific local and central governance bodies.

Here's the typical Technology stack landscape may look like

* Python is a specialty?language supporting business intelligence including development of ETLs and data pipelines.? Python also supports infrastructure scripting and IaC activities.? It is not for use in building applications, web APIs or UIs.?

** Cloud Composer only supports Python?

The mapping of languages to the use cases above should be strictly enforced.

It's ok to certain cells to be TBD as Solutions may be evaluated and as this is a living document. As and when decisions are updated appropriate names should reflect here.

This list can always have some footnotes. Some examples of footnotes as referenced in above table can be like this

• 1 -Cloud native and hybrid cloud jobs may use cloud monitoring tools but the Enterprise Batch Scheduler (Control-M) must observe critical job state
• 2 - AWS MQ is currently approved for RabbitMQ
• 3 - Currently approved for?PostgreSQL.
• 4 - See the Service Discovery
• 5 - Tableau on-premises will be connecting to data warehouse on GCP
• 6 - Google Cloud Platform and Amazon Web Services listed below are TRB ((Technology Review Board) approved
• 7 - Amazon Web Services has a specialty disposition.? See the Hosting Platform Solution Selector
• 8 - For a full list of public cloud services, use JW: "Public Cloud Services".?
• 9 - Public Cloud Team - GCP
• 10 - Public Cloud Team - AWS

In upcoming articles, I will zoom into multiple types of solutions mentioned above.

#applicationarchitecture #technologystack #frameworks #languages #distributed #cloud

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