Software architecture consulting and reviews, with decisions written down
An independent look at how your system is built and run, measured against what the business needs from it. You get clear tradeoffs, ranked risks, written decisions, and a practical roadmap. Yippify still builds and operates software, so the advice comes from practice, not theory.
Written for CTOs, founders, and engineering leaders facing a structural decision or a system that keeps surprising them.
Keep a modular monolith; extract reporting as a separate service later
Context
Reporting queries slow down transactional pages at month end. Two teams share one codebase.
Options
Split into microservices now
Read replica plus module boundaries
Separate reporting store now
Decision
Option 2. Route reporting to a read replica and enforce module boundaries. Revisit option 3 if replica lag becomes a problem.
Consequences
Low operational cost and fast to deliver. Reporting is eventually consistent. Service extraction stays possible.
An illustrative example of the format, not a record from a client engagement.
When an architecture review pays off
The best time is before an expensive, hard-to-reverse decision. The second best is when the same problems keep coming back.
Before a rewrite or re-platformConfirm the problem is the architecture, not something cheaper to fix, before committing a year to it.
Recurring incidents or slowdownsOutages and performance problems keep appearing in the same places despite fixes.
Hitting scaling limitsGrowth in users, data, or teams is exposing assumptions the system was built on.
A cloud bill out of line with usageInfrastructure cost grows faster than the business and nobody can explain why.
Diligence or a leadership changeInvestors, acquirers, or a new CTO need an honest baseline of what exists.
Teams blocking each otherEveryone changes the same code and releases wait on each other.
What a review examines
Architecture is judged by quality attributes the business cares about, not by which patterns it uses.
Areas of an architecture review
Area
Questions we ask
Evidence we look at
Reliability
What fails, how often, and how do you recover?
Incident history, single points of failure, backup and restore tests
Performance and scale
Where does it slow down, and what grows next?
Latency and load data, database queries, capacity headroom
Security
Who can reach what, and how would you know?
Authentication, IAM policies, secrets handling, dependency vulnerabilities
Changeability
How safely and quickly can the team make changes?
Module boundaries, test coverage, deploy frequency and rollback
Data
Is the data model sound, and can data be trusted?
Schema, integrity constraints, integrations, data flows
Cost
Is spend proportional to value?
Cloud billing by service, utilization, environment sprawl
Operability
Can the team see and run the system without heroics?
Logs, metrics, alerting, runbooks, infrastructure as code
How a review runs
From context to roadmap
01Context
Business goals, constraints, and the decision you are facing.
02Current state
Diagrams of what actually exists, from system context down to key components.
03Risks
What could hurt you, ranked by likelihood and impact.
04Options
Realistic alternatives, including doing less.
05Decisions
Written decision records with the tradeoffs made explicit.
06Roadmap
A sequence that tackles the riskiest problems first.
Reviews combine reading code and infrastructure with conversations with the people who build, run, and depend on the system. The people closest to the work usually know where the problems are. A review gives that knowledge structure, evidence, and a plan.
Monolith, modular monolith, or microservices?
This is one of the most common questions, and the answer depends on your teams and constraints more than on your traffic.
Architecture styles compared
Style
Works well when
Costs
Warning signs
Monolith
One team, a young product, fast iteration matters most
Coupling grows without discipline
Every change touches everything; releases block each other
Modular monolith
Several teams, one deployable, clear domain boundaries
Needs enforced module boundaries
Boundaries exist only on diagrams, not in code
Microservices
Independent scaling or release cadence is a proven need, and teams can own services end to end
Network failures, distributed data, and much heavier operations
Services that always deploy together; synchronous call chains
A well-structured modular monolith is the right answer for most growing products, and it keeps the option to extract services later where the evidence supports it.
Typical findings, with the mitigation that usually comes first.
Typical architecture risks
ImpactLikelihood
1
2
46
35
Disaster recovery never testedLikelihood Medium · Impact High
Run a real restore and document the recovery time you actually achieve.
Over-broad cloud permissionsLikelihood High · Impact High
Scope IAM roles per service and remove long-lived shared credentials.
One database carrying every workloadLikelihood High · Impact Medium
Separate reporting reads, add indexes from real queries, and plan capacity.
Synchronous chains between servicesLikelihood Medium · Impact Medium
Add timeouts and fallbacks, or move non-urgent work to queues.
Undocumented integrationsLikelihood High · Impact Medium
Inventory every inbound and outbound integration with an owner.
Infrastructure changed by handLikelihood Medium · Impact Medium
Bring infrastructure into code, for example with Terraform, starting with production.
Placement is a typical judgment, not measured data. Your system's profile will differ.
What you receive
Architecture review deliverables
Current-state architecture diagrams
Risks ranked by likelihood and impact
Decision records for the important choices
Options with costs and tradeoffs
A sequenced, practical roadmap
Quick wins you can act on immediately
A readout session with your team
Recommendations your team can execute without us
How Yippify can help
Yippify offers architecture reviews for a specific decision or system, and ongoing technical leadership for teams that want an experienced voice in architecture and delivery decisions as they come up. Because Yippify also builds software, we can implement the recommendations with your team, or hand them over in enough detail for your engineers to proceed.
We recommend the simpler option when it is enough, and deeper architecture when the problem genuinely requires it. That principle is described in Our Approach. For a new product or internal tool, a short review before the first release is often the cheapest architecture work you’ll ever do; see custom software development.
Questions teams ask
What is a software architecture review?
An independent look at how a system is structured and operated, measured against what the business needs from it: reliability, performance, security, cost, and how easily it can change. The result is a written set of findings, risks, and recommended decisions, not just a diagram.
When should we get an architecture review?
Before a major decision (a rewrite, a cloud migration, a move to microservices, a new product line), when incidents or slowdowns keep recurring, before a funding or acquisition diligence process, or when a new technical leader needs an honest baseline.
Should we move from a monolith to microservices?
Only for a specific reason, such as independent scaling or teams that are blocked on each other. A modular monolith with clear boundaries solves most of the same problems at a fraction of the operational cost, and it keeps the option to extract services later.
What do we get at the end of a review?
A summary of the current architecture, a list of risks ranked by likelihood and impact, decision records for the important choices with options and tradeoffs, and a practical roadmap sequenced so the riskiest problems are addressed first.
Can Yippify also implement the recommendations?
Yes. Yippify builds and operates software as well as reviewing it, so it can implement the recommendations with your team or hand them over with enough detail for your team to proceed.
Do you offer ongoing technical leadership?
Yes. Architecture and delivery guidance can continue alongside your team as decisions come up, with the same written-decision approach.
Facing a big technical decision? Let’s weigh the tradeoffs before you commit.
Tell us the decision you’re facing and what happens if it goes wrong. We’ll help you see the options clearly and choose the one that fits your team, budget, and timeline.