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Application Modernization & APIs

Modernize legacy applications and expose them safely as governed APIs.

Jiva Technologies assesses, designs, implements, integrates and supports application modernization — replatforming, containerization, microservices decomposition, cloud-native rebuilds and API-led integration — sequenced to reduce operational risk and unlock delivery velocity.

Assessment & Disposition
Portfolio rationalization

6R/7R scoring, dependency mapping and per-workload roadmaps aligned to business value and technical fit.

Implementation
Platform & container engineering

Kubernetes, Red Hat OpenShift, Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine and managed runtime rollouts.

Integration & Data
API & data modernization

API gateways, event streaming and downtime-minimized database refactor delivered as one coordinated program.

What we deliver

  1. Application Portfolio Assessment & 6R/7R Disposition

    Portfolio-wide discovery, technical-debt scoring and per-application 6R/7R disposition — Retain, Retire, Rehost, Replatform, Refactor / Re-architect and Repurchase — sequenced by business value, risk and time-to-value.

  2. Replatforming & Containerization

    Move workloads to modern runtimes — containerize with Docker, orchestrate on Kubernetes, Red Hat OpenShift, Amazon EKS, Azure Kubernetes Service or Google Kubernetes Engine, and move to managed databases and object storage where technically appropriate.

  3. Microservices & Event-Driven Architecture

    Apply the Strangler Fig pattern, Domain-Driven Design and bounded contexts to decompose monoliths. Introduce REST, GraphQL, gRPC and event-driven services on message brokers such as Apache Kafka, plus service-mesh options where the workload justifies it.

  4. Cloud-Native & Serverless Development

    Greenfield cloud-native applications built on managed compute, event-driven functions and managed data services on Amazon Web Services, Microsoft Azure and Google Cloud — engineered for elastic scale and consumption-based cost.

  5. API-Led Integration & Headless Architecture

    Expose legacy capabilities through governed REST, GraphQL and gRPC APIs behind an API gateway, enable headless and omnichannel front-ends, and stand up integration layers for internal, partner and public consumers.

  6. Database & Data-Layer Modernization

    Modernize application data layers — schema conversion, Change Data Capture and downtime-minimized cutover to PostgreSQL, Microsoft SQL Server, Oracle Database, MongoDB, Amazon Aurora, Azure SQL or Google BigQuery, coordinated with the application refactor.

Signals we hear

Why teams call us

4 recurring gaps
  • Legacy stacks that block new features

    Monolithic codebases, unsupported runtimes and brittle integrations extend release cycles and inflate change risk.

  • Incomplete or partially containerized environments

    Applications half-migrated to containers, without CI/CD, image scanning or platform guardrails, drift back into snowflake operations.

  • Data locked in end-of-life engines

    Applications tied to unsupported database editions face rising licensing exposure and limited cloud-native capability.

  • API and integration debt

    Point-to-point interfaces, undocumented endpoints and mixed authentication models make change unsafe and audits difficult.

How we engage

Our approach

An assessment-led modernization lifecycle that moves each workload through the disposition, engineering and support stage that fits its business value and technical constraints.

  1. Assess

    Portfolio discovery, dependency mapping, technical-debt scoring and 6R/7R disposition per application, with prioritized modernization candidates and sequencing.

  2. Design

    Target architecture for runtime, data, integration and observability. Pattern selection (rehost, replatform, refactor, re-architect, repurchase) documented per workload.

  3. Implement

    Incremental delivery using the Strangler Fig pattern, containerization, API layers and automated testing — with controlled cutover and rollback for each release.

  4. Operate & Optimize

    Post-go-live hypercare, runtime tuning, observability, security patching and continuous refactor of remaining hot spots under the agreed support scope.

Fix What's Broken — Remediation Sprints

Migration stuck mid-wave, workloads over-provisioned in cloud, DevOps pipelines flaky, or FinOps spend running away? We run fixed-scope remediation sprints against a defined cloud outcome — no open-ended consulting hours.

  • Landing-zone, IAM and network baseline fixes; migration wave unblocking
  • Right-sizing, reserved/savings-plan coverage and FinOps waste elimination
  • CI/CD pipeline hardening, IaC drift correction and release-process cleanup
Request a remediation scope

Support & Maintenance — AMC-Backed

Keep cloud estates efficient and reliable after migration — cost governance, platform hygiene and vendor escalation under a Jiva managed cloud service.

  • Managed cloud operations across AWS, Azure and Google Cloud with SLAs
  • Continuous FinOps: budget alerts, right-sizing and commitment management
  • Patching, backup verification, IaC/DevOps pipeline care and quarterly reviews
Explore AMC & support contracts

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Application Modernization

Modernize the applications holding back delivery.

Request an application assessment. Jiva Technologies will map the portfolio, propose a per-workload disposition and share an integrated modernization plan across implementation, integration and ongoing support.

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JIVA Technologies L.L.C
Al Garhoud, Dubai, UAE

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JIVA Technologies L.L.C
Al Garhoud, Dubai, UAE