Services

PumpITup Services

Consulting

Direction, assessment, and practical recommendations.

Implementation

Hands-on delivery of patterns, tooling, and working solutions.

Mentoring

Capability building for teams that need to grow independently.

Engineering Transformation

Modernise your engineering setup across architecture, teams, delivery processes, and tooling - so your teams can move faster without losing quality.

Problems we solve

  • Time to market is slower than the business requires
  • Teams are blocked by dependencies and unclear ownership
  • Test environments are unreliable and test data is hard to access
  • Efforts to move faster lead to quality issues and rework

Where we focus

  • Clarify ownership and architecture boundaries
  • Improve collaboration and delivery flow across teams
  • Simplify tooling so it supports speed instead of slowing it down

How we help: Transformation experience

Insights: Our focus

Application Automation

Reduce time to market with CI/CD and release automation designed for real organisational and technical constraints.

Problems we solve

  • Even small changes take too long to reach production
  • Deployments are risky and depend on a few senior engineers
  • Test environments differ significantly from production
  • Teams rely on too many tools with unclear ownership and maintenance

Where it matters most

CI/CD and delivery automation bring the biggest impact in environments where complexity slows teams down.

We typically see strong results in:

  • Decentralised organisations with independent teams
  • Setups with shared platforms or standardised tooling
  • Highly secured environments with strict access control
  • Legacy systems where release processes have become fragile

How we help: First class CI/CD

Insights: Our approach

Test Automation

Shift test automation left so developers get fast, reliable feedback without creating long-term maintenance overhead.

Problems we solve

  • Manual testing before releases takes too much time
  • Defects are discovered late, close to production
  • Test environments are not stable enough for reliable automation

Where it matters most

Test automation brings the biggest value when it becomes part of everyday development, not a separate activity.

We typically see strong impact when:

  • Developers and testers share ownership of automated tests
  • Regression tests run continuously in CI pipelines
  • Fast feedback is prioritised over large but unstable test suites
  • Teams struggle with maintaining existing automated tests

How we help: Sustainable test automation

Insights: A sustainable approach

Test Data Automation

Replace slow manual preparation and fragile production clones with scalable, usage-driven test data creation.

Problems we solve

  • Testers spend significant time finding and preparing data
  • Refreshing and anonymising production data is costly and complex
  • Test data becomes harder to manage in distributed systems
  • Existing approaches fail to scale or become hard to maintain

Why common approaches fail

Traditional solutions often break down as systems scale, whether due to privacy concerns, tooling complexity, or poor fit for modern architectures.

Where it matters most

Test data becomes a major bottleneck as systems grow and teams scale.

We typically see the biggest impact when:

  • Multiple teams depend on shared or hard-to-access data
  • Production data cannot be used due to privacy or compliance
  • Test data needs to work across microservices and environments
  • Manual preparation or cloning slows down testing and delivery

How we help: Test Data Provisioning Methodology

Insights: Our approach

Microservice Orchestration

Improve the reliability of complex, long-running workflows across microservices using orchestration patterns and platforms like Temporal.

Problems we solve

  • Business processes become fragile across multiple services
  • Testing distributed workflows is difficult and expensive
  • It is hard to track the state of long-running processes
  • Versioning workflows introduces operational risk

Why orchestration matters

In many microservice architectures, workflow logic is spread across services and handled inconsistently.

Failures, retries, and state management are often implemented ad hoc, making systems harder to maintain, test, and evolve.

Orchestration makes these workflows explicit, reliable, and easier to manage.

How we help: Temporal adoption