Plan a lower-risk cloud migration
Assess business drivers, application dependencies, landing-zone controls, operating ownership and migration sequencing.
View guide outline ↓Practical guides for better decisions.
Structured starting points for teams planning cloud, delivery, data and reliability improvements.
Guide library
Start with the right questions.
Use these guide outlines to frame internal conversations or as a starting point for a focused Pasapi discovery engagement.
Improve the path from commit to production
Map delays and handoffs, establish pipeline standards, automate quality controls and make delivery performance visible.
View guide outline ↓Build a trusted data foundation
Clarify ownership, source priorities, quality expectations, platform boundaries and the first valuable data products.
View guide outline ↓Guide 01
Cloud migration readiness.
A migration plan becomes credible when it connects business intent to application reality and an operating model the organization can sustain.
01
Define the outcome
Clarify why change is needed and what success should improve: speed, resilience, cost visibility, security or product capability.
02
Map dependencies
Inventory applications, data flows, integrations, compliance needs and operational ownership.
03
Establish foundations
Design identity, networking, security, observability, cost controls and infrastructure automation.
04
Sequence and validate
Group workloads into controlled waves and use early migrations to test assumptions.
Guide 02
Delivery system improvement.
Automation delivers value when the entire path—from change to feedback to recovery—is clear and repeatable.
01
Measure the current flow
Find queues, manual approvals, environment drift and recurring failure points.
02
Standardize the path
Create reusable pipeline patterns, environment definitions and release controls.
03
Shift feedback earlier
Automate testing, security feedback and policy checks where teams can act quickly.
04
Improve continuously
Track flow, reliability and recovery signals, then remove the next constraint.
Guide 03
Trusted data foundations.
A useful data platform starts with ownership and decisions—not a long list of tools.
01
Prioritize decisions
Identify the business questions and workflows that better data should improve.
02
Define ownership
Make accountability for sources, definitions, quality and access explicit.
03
Design the platform boundary
Choose ingestion, storage, transformation and serving patterns that fit the use cases.
04
Deliver a valuable slice
Prove trust and usability through a focused data product before expanding.
Turn a guide into your roadmap.
We’ll adapt the framework to your environment, constraints and target outcomes.