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Services

Specialized capabilities for enterprise modernization.

Each service is owned by senior engineers, scoped around a real outcome, and delivered with measurement built in.

Modernization

Enterprise System Modernization

Renew critical enterprise platforms without a risky big-bang rewrite.

Problem

Many enterprise platforms are revenue-critical but hard to change. Codebases have grown for a decade or more, knowledge is trapped in undocumented integrations, and stakeholders are reluctant to authorise a full rewrite because the risk is too high.

Why it matters

Slow releases, fragile integrations, and unclear ownership compound over time. The longer the modernization is postponed, the more expensive each new feature becomes — and the more dangerous each production change feels.

SniperSoft approach

We treat modernization as a disciplined, measurable process — not a rewrite project. We start with a focused codebase assessment, stabilize the riskiest areas, and renew the system in incremental, observable steps that keep the business running.

Typical deliverables

  • Codebase assessment with prioritized risk map
  • Stabilization plan for the most fragile modules
  • Incremental modernization roadmap
  • Automated regression test scaffolding
  • Refactored modules with documented contracts
  • Observability and rollback procedures

Measurable outcomes

  • Reduced cycle time for high-risk changes
  • Lower defect rate on modernized modules
  • Increased test coverage on revenue-critical paths
  • Clearer ownership and documentation
  • Predictable, low-drama production releases
Integration

API & Integration Engineering

Design and build reliable API layers and integration contracts between enterprise systems.

Problem

Enterprise integrations decay quietly. Contracts are implicit, retries are inconsistent, and a single failing partner can take down a critical workflow. Most teams discover the issue only after a production incident.

Why it matters

The API layer is where the business meets its partners. Weak integration boundaries become weekly outages and slow feature delivery. Strong boundaries enable safe modernization of the systems on either side of them.

SniperSoft approach

We design integration contracts explicitly, document failure modes, and add the observability needed to detect drift early. We then build the API and integration code with senior engineers — not interns chained to a Swagger generator.

Typical deliverables

  • Integration boundary map
  • Explicit, versioned API contracts (OpenAPI, AsyncAPI, schemas)
  • Reliability patterns (timeouts, retries, idempotency, backpressure)
  • Authentication and authorization design
  • Contract tests and partner stubs
  • Monitoring and alerting for integration health

Measurable outcomes

  • Fewer integration-related production incidents
  • Faster partner onboarding
  • Lower coupling between systems
  • Clearer SLAs and ownership boundaries
  • Reduced time to diagnose integration failures
Database

Oracle and Database-Centric Systems

Improve systems where the database is part of the business logic and the performance profile.

Problem

In many enterprise systems, business logic lives partly in the database — PL/SQL packages, materialized views, triggers, scheduled jobs. These systems are powerful, but their behaviour is invisible to most modern tooling, and a single bad plan change can degrade the entire platform.

Why it matters

Database-centric systems often run the most expensive workflows in the company. Performance, correctness, and maintainability problems show up as missed SLAs, slow reports, and angry users who do not care which layer is at fault.

SniperSoft approach

We treat the database as a first-class engineering artefact. We profile real workloads, untangle hot procedures, redesign painful queries, introduce safe deployment patterns for PL/SQL, and document where the business logic actually lives.

Typical deliverables

  • Workload profile and hotspot analysis
  • Query and plan review for the top critical paths
  • Refactored PL/SQL with regression tests
  • Safer deployment process for schema and code changes
  • Documentation of business logic embedded in the database
  • Migration planning where appropriate (e.g. towards PostgreSQL, hybrid models)

Measurable outcomes

  • Reduced p95 response time on critical reports
  • Lower CPU and IO pressure during peak hours
  • Fewer surprise plan changes after data growth
  • Cleaner separation between business logic and persistence
  • Confidence to deploy database changes during business hours
.NET

.NET Modernization

From legacy .NET Framework and monoliths to modern .NET, APIs, services, and cloud-ready deployments.

Problem

Many enterprises still run revenue-critical workloads on .NET Framework, WCF, WebForms, or aging WinForms front-ends. Upgrades are postponed because rewriting feels too risky and the team is busy keeping the lights on.

Why it matters

Modern .NET brings real, measurable improvements in performance, observability, dependency lifecycle, and operational cost. Staying on unsupported runtimes increases security exposure and slows hiring.

SniperSoft approach

We move .NET systems forward incrementally. We stabilize the existing application, carve clear API boundaries, modernize one module at a time, and use feature flags to keep delivery safe. We treat the upgrade as an engineering programme, not a single migration event.

Typical deliverables

  • .NET Framework dependency and risk analysis
  • Modular boundary plan (API contracts, service split candidates)
  • Incremental upgrade path with milestones
  • Modernized projects on supported .NET LTS
  • Updated CI/CD with build, test, and deployment pipelines
  • Observability instrumentation suited to the new runtime

Measurable outcomes

  • Smaller attack surface on supported runtimes
  • Lower infrastructure footprint at equivalent load
  • Faster startup, lower memory, better throughput
  • Cleaner ownership and modular boundaries
  • Easier hiring on a current stack
Performance

Performance & Reliability Engineering

Profiling, SQL optimization, bottleneck removal, observability, and production-oriented hardening.

Problem

Performance issues are usually architectural, not local. By the time the symptom is visible, several decisions earlier in the stack have already made it hard to fix. Reliability problems follow the same pattern — they are rarely just a flaky service.

Why it matters

Slow or unreliable systems erode trust. They also distort the roadmap, because every new feature has to fight for resources with the next firefight. Treating performance and reliability as engineering disciplines — not heroic crises — changes the trajectory.

SniperSoft approach

We instrument first, theorise later. We profile real workloads, follow the evidence into hot paths, and remove the bottleneck whose removal will move the metric that matters. We add the observability needed to keep the gain after we leave.

Typical deliverables

  • Workload-driven performance assessment
  • Profile-backed bottleneck analysis
  • Targeted optimization of hot paths (code, queries, IO, caching)
  • Reliability hardening (timeouts, retries, circuit breaking, graceful degradation)
  • Observability uplift (metrics, traces, structured logs, dashboards)
  • Runbooks for the most common failure modes

Measurable outcomes

  • Lower p95 / p99 response time on critical paths
  • Reduced error budget consumption
  • Fewer paging-worthy incidents
  • Predictable behaviour under peak load
  • Faster diagnosis when something does break
AI

AI-Accelerated Delivery

Agentic AI workflows for codebase analysis, test generation, documentation, and migration support — with strict human review.

Problem

AI tooling is moving faster than most enterprise governance can keep up with. Teams want the productivity gains, but they cannot accept ungoverned changes to production code or to systems that hold customer data.

Why it matters

AI-assisted engineering, used well, removes a large amount of low-value work. Used badly, it introduces silent regressions and obscures who actually owns a change. The difference is governance and senior review — not the model.

SniperSoft approach

We use agentic AI workflows for the parts of delivery where they pay off: codebase mapping, documentation extraction, test scaffolding, migration planning, repetitive implementation, and regression analysis. Senior engineers own architecture, security, correctness, and the production decision.

Typical deliverables

  • AI-assisted codebase map and dependency graph
  • Generated documentation drafts, reviewed by engineers
  • Test scaffolding for under-tested modules
  • AI-assisted migration plans with explicit human checkpoints
  • Governance rules and review process for AI-produced code
  • Auditable record of which changes were AI-assisted

Measurable outcomes

  • Faster onboarding to unfamiliar codebases
  • More tests added to historically untested paths
  • Shorter cycle time on routine implementation work
  • Clear, auditable ownership of every change
  • No surprise behaviour in production
Assessment

Technical Assessment & Delivery Rescue

A focused diagnostic of a critical system, or a controlled intervention when a delivery has gone off track.

Problem

Sometimes the question is not “how do we modernize?” but “what is actually wrong, and what would a credible plan look like?” Sometimes a programme is mid-flight and stuck — and bringing in more bodies will make it worse.

Why it matters

A clear diagnosis from senior engineers, without sales theatre, is one of the most cost-effective things a leadership team can buy. It either confirms the current plan or reframes it before more money is committed.

SniperSoft approach

We run a short, focused engagement. We look at the code, the data, the team, and the delivery process. We produce a concise written assessment that an engineering leader can present internally. For delivery rescues, we agree a contained scope first, then act.

Typical deliverables

  • Codebase and architecture assessment
  • Delivery process review
  • Risk and dependency map
  • Pragmatic modernization or recovery plan
  • Effort and sequencing recommendation
  • Short executive summary for non-engineering stakeholders

Measurable outcomes

  • A defensible, evidence-backed plan
  • Clear sequencing of the first 60–90 days of work
  • Confidence to commit (or stop committing) further investment
  • Reduced uncertainty for engineering and product leadership
  • A working relationship that can extend into delivery if it is the right fit

Not sure which service applies?

Start with a technical assessment. We will tell you, in writing, what shape the work actually is.

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