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Technologies

DevOps and delivery engineering

Delivery capabilities spanning cloud platforms, CI/CD automation, observability, container orchestration, and infrastructure as code.

See our work

The need

Start with the workflow, then choose the technology.

Delivery capabilities spanning cloud platforms, CI/CD automation, observability, container orchestration, and infrastructure as code. We select each technology around the product’s users, data, operating environment, and long-term ownership needs.

01

Amazon Web Services

Applied where it supports a defined user, operational, or product requirement.

02

Microsoft Azure

Applied where it supports a defined user, operational, or product requirement.

03

Azure DevOps

Applied where it supports a defined user, operational, or product requirement.

04

Kubernetes

Applied where it supports a defined user, operational, or product requirement.

05

Docker

Applied where it supports a defined user, operational, or product requirement.

06

Prometheus

Applied where it supports a defined user, operational, or product requirement.

07

Jenkins

Applied where it supports a defined user, operational, or product requirement.

08

CI/CD

Applied where it supports a defined user, operational, or product requirement.

09

Terraform

Applied where it supports a defined user, operational, or product requirement.

10

Ansible

Applied where it supports a defined user, operational, or product requirement.

11

Git

Applied where it supports a defined user, operational, or product requirement.

12

Docker Containers

Applied where it supports a defined user, operational, or product requirement.

13

Apache

Applied where it supports a defined user, operational, or product requirement.

14

Google Cloud

Applied where it supports a defined user, operational, or product requirement.

Relevant applications

Where this capability fits.

  • Amazon Web Services
  • Microsoft Azure
  • Azure DevOps
  • Kubernetes
  • Docker
  • Prometheus
  • Jenkins
  • CI/CD
  • Terraform
  • Ansible
  • Git
  • Docker Containers
  • Apache
  • Google Cloud

Our approach

Clear progress from idea to impact.

A transparent delivery model keeps priorities visible, validates risk early, and makes knowledge transfer part of the work.

  1. 01

    Confirm product constraints

  2. 02

    Choose the simplest suitable architecture

  3. 03

    Implement with clear boundaries

  4. 04

    Document and support long-term ownership

Selected case studies

Decisions, constraints, and delivered workflows.

All case studies
Automotive marketplace

Designing Inventory Discovery and Search Insight for Truckah

How a truck marketplace balanced detailed vehicle discovery with analytics that could inform inventory marketing.Read the story Online gaming

Designing a Social Knowledge Experience for ZeroIQ

How product design, identity, mobile engineering, and a Laravel backend were brought together around repeatable quiz participation.Read the story Project collaboration

Bringing Projects, Meetings, and Collaboration Together in Team1.co

A product-architecture study in connecting formal project work with the conversations and meetings that move it forward.Read the story

Kolkata engineering partner

Build with a technology team in Kolkata with experience across Indian and international project contexts.