Case Studies Explore the problems we worked on, the engineering choices we made, and what happened afterward. Some client identities are withheld to respect confidentiality.
Browse all An anonymous chatbot engagement separating a curated demonstration from task-specific evaluation, fallback responsibilities and permitted production use.
A data-driven web application using ECS on Fargate, private RDS PostgreSQL storage, managed credentials and application/database monitoring.
An anonymous account of moving API management toward Kong, with Git-reviewed configuration, developer self-service and staged coexistence with the legacy gateway.
An anonymous account describing Kong at the API edge and Envoy for internal traffic, with configuration, retry ownership and migration effects kept distinct.
An anonymized Ampity sports-platform engagement connecting source, build, application deployment and infrastructure provisioning, with recovery evidence kept separate.
An anonymized Ampity account of scaling-event review and threshold and timing changes, without a verified savings, availability or capacity-matching result.
An anonymized Ampity account of recorded service consolidation, module interfaces and a shared deployment. Delivery and operating results are unverified.
An anonymous commerce engagement separating domain models while retaining integration responsibilities and reviewing translation between meanings.
An anonymous account of staged AI adoption in claims processing, separating hidden predictions, optional suggestions and proposed automation from verified results.
The client is an enterprise AWS customer managing workloads across multiple business units and AWS accounts. As their cloud footprint expanded, enforcing governance policies such as mandatory resource tagging became essential for cost transparency, compliance, and operational consistency.
Ampity deployed one Transfer Family SFTP endpoint that writes partner files directly into business-unit S3 buckets, with account-specific access policies and central transfer logging.
An anonymized CI/CD modernization separating GitHub Actions builds from Argo CD deployment and Helm configuration, with staged migration and explicit release authority.
An anonymous billing-rewrite account describing parallel behavior comparison and incremental restoration of omitted cases, with acceptance and external effects kept separate.
An anonymous SaaS engagement combining AWS cost exports, application metrics and explicit allocation rules for product and customer reporting.
Yukta is an Ampity-built SaaS product focused on DevOps automation and platform enablement. The platform was designed to support rapid growth, frequent releases, and secure access patterns from inception.
Automated compliance platform covering identity verification, AML alert scoring, sanctions screening and analyst case management for a multi-country fintech operator.
Ampity deployed a containerized application platform with health-checked Fargate tasks, private PostgreSQL storage, managed secrets, a container release path and shared operating signals.
An anonymous SaaS engagement adding ownership, shared-cost allocation and reporting context alongside an existing observability stack.
An anonymous account of separating signing and comment workloads through worker pools and database reservations, with shared-dependency limits made explicit.
Active-active multi-region disaster recovery for a financial services firm, replacing an untested cold-standby arrangement with automated distributed routing and chaos-engineering validation.
An anonymized integration-reliability engagement using error-aware delays, per-customer retry budgets and per-integration circuit breakers, with explicit operation-safety and billing boundaries.
An anonymized engineering reorganization moving feature responsibility across frontend, backend and infrastructure boundaries while retaining a shared platform team.
An anonymous logistics account describing Kafka topics, an adapter layer and domain-by-domain transition, with publication, replay and business-effect limits explicit.
An anonymous notification engagement separating ingestion from RabbitMQ-backed workers while keeping acceptance, backlog age and downstream outcomes distinct.
Event-sourcing architecture built alongside a COBOL mainframe core banking system, introducing CQRS read projections and change data capture to enable real-time balance views and new digital capabilities.
An anonymous Rails engagement changing course after partial service extraction, consolidating deployment while retaining explicit module interfaces.
An anonymous financial-services engagement using Feast, a feature registry, historical data and Redis-backed online access, with training and serving semantics kept distinct.
An anonymous media-platform engagement combining provider routing, origin shielding, session-state changes and phased activation across acquired properties.
A notification gateway deployed on ECS Fargate with load balancing, managed credentials, CloudWatch visibility and SES email integration.
An anonymized notification-system engagement separating event ingestion from delivery, with priority queues, worker isolation and provider-failure controls.
Adding application capacity increased pressure on an already constrained database. The account describes database-access changes before further scaling.
An anonymous Ampity account of underwriting decision support, where model recommendations and explanations informed human review, without verified outcome claims.
An anonymous engineering engagement reserving recurring refactoring capacity and prioritizing frequently changed code while keeping behavior and roadmap decisions explicit.
An anonymized Ampity account of edge aggregation, Kafka/Flink processing and maintenance-model outputs, without verified fleet-scale or savings results.
An anonymous platform engagement stopping a full rebuild and redirecting engineering toward the existing product, with a forward-looking decision record.
An anonymized Ampity engagement account describing resource sizing, scaling configuration, Spot usage and per-team cost attribution on AWS EKS. It separates recorded scope and design intentions from proposed checks and unverified outcomes.
An anonymous e-commerce engagement using independent regional Kubernetes clusters, per-cluster Argo CD and Kustomize overlays, with staged regional activation.
The technical view of a delivered sports platform separates static assets, .NET Lambda APIs, Aurora MySQL data, integrations and the automated release pipeline.
An anonymous public-service engagement adding request and response mapping around CICS transactions while retaining the mainframe as the primary business system.
A payment gateway modernization using capability-based routing, Kafka events and saga coordination to separate payment, fraud and settlement responsibilities from a Java monolith.
An anonymous analytics account of replacing repeated dashboard aggregation with scheduled summaries, separating freshness and refresh work from performance claims.
An anonymous SageMaker engagement classifying prediction workloads by completion needs, grouping models for shared serving and adding a queue-based processing tier.
An anonymous streaming engagement combining candidate retrieval, contextual ranking and feature pipelines across viewing and messaging surfaces.
An anonymized Ampity engagement account describing feature and prediction logging, reference comparisons, investigation alerts and delayed outcome review. It separates recorded scope from unverified model-quality and business results.
An anonymous property-management engagement choosing module interfaces within a shared Rails application while deferring independently deployed services.
Multi-region active-active architecture for a payment platform, replacing a single-region deployment through event-sourced state synchronization and phased regional activation.
An anonymized Ampity account of PostgreSQL tenant-schema selection and staged migration, separating recorded scope from unverified security and migration results.
Ampity improved an admissions-supporting application, moved it from conventional servers to AWS, and supported its cloud environment with security remediation, capacity adjustments and scheduled backups. The institution remains anonymous.
An anonymous financial-services engagement connecting metrics, traces and logs through shared context, with staged instrumentation and operational ownership.
An anonymized Ampity engagement account about capacity headroom, application bottlenecks and incremental rightsizing, without an asserted savings or reliability result.
An anonymous SaaS engagement moving beyond seat-only pricing to review usage tiers, included capacity and existing-contract constraints.
An anonymized Ampity account of shared identity, a product portal and selective backend consolidation. Delivery and business outcomes remain unverified.
An anonymous batch-processing account of queue-informed capacity estimation, with startup, in-flight work and completion evidence kept separate from savings claims.
An ML-powered fraud detection pipeline replacing a rule-based system, using streaming features, ensemble scoring and a phased traffic migration for a digital payments platform.
An anonymized Ampity account of offline embeddings, session signals, candidate retrieval and ranking. Performance and business outcomes remain unverified.
An anonymous billing engagement choosing tests, documentation and incremental restructuring while treating processor contracts and existing behavior as constraints.
Ampity designed and implemented an EKS media platform with separate data engines, automated releases and workflows, and shared monitoring across the operating layers.
An anonymous startup engagement moving session and upload work out of application instances while preparing scaling dependencies without claiming viral-load results.
An anonymous moderation engagement separating model escalation, stage-execution cost and the quality evidence required for early exits.
Ampity deployed a forecasting pipeline that sequences data export, preparation, model execution and output formatting. EventBridge starts the workflow, Step Functions coordinates it, and failures are surfaced rather than left silent.
An anonymous e-commerce search engagement using specialized nodes, storage tiers and query routing, with a parallel-cluster migration approach.
An anonymized sports-platform engagement used CloudFront and S3 for static web delivery, separately from its application and authentication paths.
The enterprise relies on the secure exchange of sensitive operational and financial data with external partners and internal business units. They required a modernized, compliant file transfer interface that could scale globally without the maintenance overhead of traditional servers.
An anonymous retail-analytics migration using Kinesis, Lambda, managed Flink and S3, with state, reconciliation and downstream publication treated separately.
An anonymous industrial IoT engagement combining gateway filtering, Kinesis ingestion, Lambda processing and separate operational and historical data responsibilities.
Ampity resolved customer-facing registration and payment issues, then expanded into product engineering, AWS delivery and production support for a live sports platform.
An anonymous broadcast-media design using segmented encoding, Kubernetes and interruptible GPU workers, with quality, recovery and publishing boundaries explicit.
An anonymized database migration focused on Oracle compatibility, parallel operation and phased application cutover to PostgreSQL on Amazon RDS.
An anonymized migration using Debezium, Kafka and a synchronization service to support staged application migration from Oracle to PostgreSQL.