Cloud Infrastructure Modernization
Environments had been built manually over several years, producing configuration drift, unpredictable spend and slow, high-risk releases. Prodatalabs rebuilt the platform on automated, policy-governed foundations.
Business impact at a glance
Indicative results from an engagement of this type. Figures are not attributed to a named client.
Infrastructure changes were manual, undocumented and dependent on a small number of individuals. Recovery had never been fully tested and cloud spend could not be attributed to owners.
Inventoried workloads, dependencies, availability requirements and spend patterns across environments.
Agreed landing zone design, network and identity model, recovery objectives and guardrail policies.
Rebuilt environments as infrastructure as code with standard pipelines, migrating workloads in planned waves.
Implemented monitoring, alerting, cost dashboards and rightsizing reviews with internal platform owners.
A standardized, automated cloud platform with consistent environments, tested recovery and continuous cost visibility.
Drift between environments was eliminated, reducing defects traced to configuration differences.
Automated, repeatable deployments replaced manual change windows.
Tagging and dashboards gave each workload an accountable owner and a visible cost trend.
Documented, codified infrastructure made platform knowledge shared rather than individual.
More insights
Disconnected systems slow decisions, duplicate work and limit automation. Integration is what turns individual platforms into a working enterprise.
Hiring faster is not the same as hiring better. Sustained delivery capacity comes from role clarity, capability mix and a team model that fits the work.
Platforms are the easy part. Transformation succeeds when operating model, data, delivery capability and adoption move together.
Tell us what you're working on and we'll help identify the right expertise, engagement model and next step.
