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DDAITECHDiscipline | Digital | AI

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Ten practices. Three we lead with.

Performance, SAP, and test automation are the core of the work. Reliability, DevOps, observability, cloud, and automation support them.

Lead practices

  1. 01

    Performance Testing

    AI-Led Performance Testing & Engineering

    Load, stress, and volume testing for SAP, Oracle, APIs, and UI. Scripting that used to take weeks is done in hours.

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    • Stable performance during high-volume business cycles
    • Optimized database and ABAP layer utilization
    • Bottleneck identification through ST12, SAT, and Dynatrace integrations
    • KPI validation — Dialog Response Time, RFC Throughput, SAP GUI / UI5 latency
  2. 02

    SAP Testing

    SAP Testing & Performance Engineering

    Baseline, migration, capacity, and regression testing across ECC, S/4HANA, Fiori, BW, and integration layers.

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    • SAP ECC and S/4HANA, including ECC-to-S/4HANA migration programs
    • SAP Fiori and UI5 applications, SAP GUI, and OData services
    • SAP BW, PI/PO, CPI, and BTP integration layers
    • Month-end close, order-to-cash, procure-to-pay, and other business-critical processes
  3. 03

    Test Automation

    AI-Led Test Automation & Quality Engineering

    API and SAP test automation in hours, AI-assisted validation, and quality gates built into your CI/CD pipeline.

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    • API test automation for REST, SOAP, and GraphQL, with turnaround of 2 hours or less
    • SAP and enterprise application test automation, with scripts in 4 hours or less
    • Functional, regression, and endurance testing across web, API, and integration layers
    • Shift-left quality gates in Jenkins, GitHub Actions, Azure DevOps, and GitLab CI

Supporting practices

  1. 04

    Chaos Engineering

    Chaos Engineering

    Controlled fault-injection experiments that validate resilience, failover, and recovery across your distributed systems.

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    • Steady-state definition and hypothesis-driven experiment design
    • Failure-mode coverage — latency injection, node loss, dependency degradation, AZ outage
    • Strict blast-radius control with automated abort and rollback
    • Validated RTO / RPO against documented recovery objectives
  2. 05

    SRE

    Site Reliability Engineering (SRE)

    SLO-driven reliability programs covering error budgets, observability, incident response, and capacity planning.

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    • SLI / SLO / error-budget frameworks aligned to business priorities
    • Toil measurement and automation-first reduction programs
    • Incident management, on-call design, and blameless postmortems
    • Capacity planning and load forecasting ahead of demand
  3. 06

    DevOps & SecOps

    DevOps & SecOps Implementation

    CI/CD pipeline engineering and DevSecOps implementation that bake quality, security, and compliance into every release.

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    • Pipeline design across Azure DevOps, Jenkins, GitHub Actions, GitLab
    • Infrastructure as Code with Terraform and Ansible
    • Automated quality and security gates — SAST, DAST, dependency scanning
    • Secrets management and policy-as-code controls
  4. 07

    Observability

    Intelligent Monitoring & Observability

    Full-stack observability — APM, infrastructure monitoring, synthetic + RUM, and AIOps-driven intelligent alerting.

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    • Centralized metrics, logs, and traces built on OpenTelemetry standards
    • Dashboards in Grafana, Kibana, and cloud-native tooling
    • Code-level diagnostics — SQL, API, JVM, .NET, Node.js
    • Synthetic transaction monitoring and RUM across global locations
  5. 08

    Cloud

    Cloud Migration & Optimization

    Assessment, migration, cost control, and post-move performance validation across AWS, Azure, and GCP.

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    • Cloud-readiness, TCO, and target-platform selection before a single workload moves
    • Lift-and-shift, refactor, and re-platform paths for apps, databases, VMs, and containers
    • Right-sizing, reserved capacity, and budget alerts after go-live
    • IAM, encryption, network hardening, and alignment to ISO 27001, SOC 2, and GDPR
  6. 09

    AI Automation

    AI-Driven Automation

    Process automation, AIOps, quality intelligence, and generative-AI workflows — with a human still in the loop.

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    • Business-process automation with UiPath, Automation Anywhere, and Power Automate
    • Event correlation, incident enrichment, and self-healing for IT operations
    • Test selection, impact analysis, and pipeline-ready API and performance automation
    • Predictive load forecasting and AI-assisted threat and anomaly scoring
  7. 10

    ERP

    ERP: Salesforce, Oracle & ServiceNow

    Performance and quality engineering for Salesforce, Oracle, and ServiceNow: the transactions, integrations, and releases your business cannot pause.

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    • Salesforce Sales, Service, and Experience Cloud under concurrent users, including integrations and bulk data loads
    • Oracle E-Business Suite and Fusion Cloud: order-to-cash, procure-to-pay, and period close
    • ServiceNow ITSM, ITOM, and HRSD, including integrations and mid-server load
    • Release regression so a platform upgrade does not quietly slow a core process

Engagement models

Pick the model that fits your delivery team

You can change it later if your needs change.

  1. 01

    End-to-End Consulting

    Full ownership from requirement capture to sign-off. One accountable partner for the entire performance lifecycle.

  2. 02

    Expert Assignment

    Certified specialists embedded per project or module, working alongside your teams.

  3. 03

    Release-Based Support

    Scripting and automation capacity aligned to your release calendar — surge when you need it.

  4. 04

    Flexible Commercials

    On-demand, fixed-budget, time-and-material, or contract-to-contract — commercials matched to how you buy, with accountability to the outcome.

Bring us the system that is slowest.

We will tell you what we would test first and how long it should take.