Enterprise Architecture

Enterprise Architecture provides a structured view of how business capabilities, applications, data and technology fit together across an organization.
It helps answer larger questions such as:
Which technologies should become enterprise standards?
Which applications should remain strategic?
Where are several systems solving the same problem?
What should the technology landscape look like in three or five years?
What sequence of changes can realistically move the organization there?
The Open Group describes Enterprise Architecture as a holistic view that supports strategic decision-making across the wider organization rather than one individual solution.

The main difference is scope.
Enterprise Architecture looks across the wider organization. It defines target states, principles, standards, portfolios and relationships between many systems and programs.
Solution Architecture designs one specific business solution and explains how its applications, data, infrastructure, integrations and security work together.
Enterprise Architecture creates the direction. Solution Architecture applies that direction to a specific problem.

Where it helps, yes.
TOGAF provides useful concepts for current and target architectures, roadmaps, principles, governance and architecture development.
But we do not treat framework compliance as the outcome.
The Open Group itself describes the current TOGAF Standard as configurable for different organizations, architecture practices and use cases.
We use the parts that help the organization make better decisions and avoid unnecessary process where they do not.

No.
Trying to document every server, interface and application before making any decisions can turn Enterprise Architecture into a multi-year inventory exercise.
We start with the scope relevant to the business decision.
That may mean mapping major business capabilities, strategic applications, important data domains, core platforms and significant dependencies first.
The architecture repository can then become more detailed where additional information creates decision value.

A target architecture describes how an organization wants its technology landscape to evolve.
It can define future application boundaries, shared platforms, data models, integration patterns, infrastructure direction and technology standards.
The target state should not be treated as a fixed prediction of the future.
AWS recommends identifying a desired target state and then closing gaps iteratively as the organization learns and conditions change. Microsoft similarly recommends defining target states across architecture, operations and governance once strategic objectives are understood.

Good standards reduce repeated decisions.
For example, teams should not need a committee meeting every time they need authentication, application logging or an API pattern if supported enterprise approaches already exist.
Principles define direction. Standards define commonly accepted choices. Guardrails can automate some controls. Exceptions remain possible when the workload has a real reason.
Thoughtworks recommends this kind of lightweight governance: use vision, principles and constraints to create direction while preserving team autonomy rather than mandating every implementation detail centrally.

Yes.
We can map applications to business capabilities and assess areas where several systems provide similar functionality.
Technology portfolios can also be reviewed for duplicated frameworks, unsupported platforms or products that no longer fit the target architecture.
That does not mean automatically removing every duplicate system.
Some duplication can be justified by regulation, geography, organizational structure or different business needs.
The purpose is to make those choices explicit rather than allow complexity to grow by accident.

Architecture has to change with the organization.
We recommend clear ownership for important domains, lightweight decision records and regular reviews of standards, target states and technology lifecycles.
Architecture data can increasingly be connected to real delivery and operational systems instead of relying only on manually updated diagrams.
Thoughtworks describes this direction as moving from static architecture documentation toward structured architecture data, standards-as-code and continuous assessment so architecture can remain connected to changing technology environments.
Your own large-scale data-center migration also provides practical evidence for why this wider architecture view matters. The program required application and infrastructure landscape discovery, dependency and ownership mapping, migration patterns and enterprise-level architecture decisions across several parallel delivery teams.