Ready for tomorrow
Smart choices today prevent costly surprises tomorrow
Automate
By automating routine updates, tests and monitoring we detect issues before users notice them.
Integrate
We connect your existing stack with modern APIs so data can flow freely and no one has to duplicate work.
Optimise
We fine-tune performance: shorter load times, lower hosting costs and a happier help desk.
Secure
Security patches, penetration tests and code reviews create a three-layer wall against data leaks and downtime.
Why it is worth acting now.
Cars undergo an MOT; software really should as well

Just like an engine that regularly needs oil, your platform needs updates, refactors and new features to keep running smoothly.
Benefits at a glance
Fewer emergency patches, greater predictability
Shorter time-to-market for new features
Stronger safety net thanks to a solid SLA
Continuity of domain-specific knowledge remains secured
Step-by-step plan for maintenance and evolution.
A structured approach to keep your platform stable and help it grow.

Step 1 – Intake & code scan.
We dive into your repository, CI/CD pipeline and documentation. What strikes us is that almost every project hides new surprises — from hard-coded passwords to forgotten licences.

Step 2 – Assemble the roadmap.
Based on impact and risk we decide the sprint order, balancing quick wins and structural improvements.

Step 3 – Stabilise.
We patch libraries, set up automated tests and configure monitoring — stability comes first.

Step 4 – Evolve.
New features, UI polish and API integrations land iteratively. In practice, small iterations drive higher adoption.

Step 5 – SLA & evaluation.
Every month we check KPIs such as uptime, performance and security alerts. That rhythm keeps everyone sharp and prevents knowledge from draining away.


Ready to talk further?
Sound good? Let’s jump on a call and discover how your software can move forward again — no stress, no lengthy sales pitch, just an honest conversation.
A critical look at legacy

Why "throw it away and start over" is rarely smart
You will recognise it: a solo developer disappears, documentation is sparse and the code feels like spaghetti. That does not automatically mean refactor-from-scratch.
Damaged yet valuable foundations
Legacy code often contains unique process logic and links to internal systems. Rewriting these one-to-one costs time and money.
Risks of big-bang rebuilds
Long freeze periods
Loss of domain knowledge
Unforeseen regressions that surface late
As mentioned earlier: incremental modernisation — think strangler pattern and feature toggling — provides calm and continuity.
Practical tips you can apply tomorrow

Start small, big impact
Update your dependency manifest weekly, not yearly.
Place a top-level README with set-up instructions in five steps.
Add health endpoints for monitoring: /status = 200 OK.
Automate database migrations with version control (Flyway, Liquibase).
Reserve at least 10% of every sprint for tech debt.
Bonus: test coverage
In practice you will often find that 60% coverage is enough for confidence — 100% sounds great but slows innovation.
Looking ahead to the future

From reactive to predictive maintenance
Machine learning may sound buzz-wordy, but predictive monitoring spots performance degradation based on log anomalies. You might call it magic — until you see the data.
Concrete scenarios
Detect RAM leaks before pods crash
User-flow analysis to decide which feature to develop next
Security scans that automatically follow CVE feeds and serve pull requests
Better still, such tooling is often open source and costs mainly configuration time, not hefty licence fees.
🤔 Why should I trust Spartner with code you did not write?
Because we have years of experience adopting existing projects. We start with an audit, present our findings transparently and only take over when you agree.
⏱️ How quickly can you start?
After the intake we can deliver commits within a few weeks. To be fair, with complex monoliths we sometimes schedule an extra discovery sprint.
💸 Won't maintenance cost more than a rebuild?
Not necessarily. By working incrementally you spread investment and avoid cold-turkey downtime. Rebuilds swallow budget and attention in one go.
🔐 How do you safeguard security?
We patch dependencies, run daily SCA scans and conduct an external penetration test every year. We patch critical issues within the SLA response time, sometimes within hours.
📈 Can I keep launching new features in the meantime?
Yes. The stabilisation phase runs in parallel with a separate feature branch, so the business does not stand still.
😓 What if my old freelancer suddenly returns?
No problem. We document everything. Should you ever want to switch back, you hand over a complete transfer dossier — transparency above all else.
🛠️ Do you work with Scrum or Kanban?
Both, it depends on your cadence. Some teams thrive on two-weekly sprints, others benefit from a continuous flow.
🏎️ Can you guarantee performance?
We agree measurable SLA targets: p95 response time, uptime percentages and patch windows. No vague promises, but concrete figures.