Custom PM System Development: Architecture & Workflow

Why Build a Custom PM System?

We develop turnkey project management systems when off-the-shelf SaaS products fall short: industry-specific workflows, strict data requirements, or deep integration with internal systems. Instead of Jira or Asana, you get a tool tailored to your business process. Below—architecture, codebase, and timelines. Order a project assessment to understand the details. Over 10+ years, we've delivered more than 50 projects—from modular monoliths to distributed systems.

A custom PM system solves three main problems: non-standard workflows that cannot be reconfigured in a ready-made product; high licensing costs when scaling; and the need for deep integration with the corporate stack. According to our data, licensing savings at 500+ users reach 60%, and workflow time reductions hit 40%. For example, a 500-user team saves approximately $24,000 annually on licensing. A custom PM system typically pays for itself in 12–18 months. Contact us for a consultation.

Custom PM System vs. Jira

Architecture and Data Model

Central entities: Project → Milestone → Task → Subtask. Cross-cutting: User, Team, Comment, Attachment, TimeLog, Activity. Relationships: a task can belong to multiple projects via epics; a user can have different roles; dependencies between tasks form a graph.

A modular monolith is the right choice for projects with up to 50,000 active users. Microservices are justified when individual components need independent scaling. 90% of PM systems are built as modular monoliths and remain so forever.

Event-driven inside the monolith. State transitions, assignments, deadline changes—all are events that trigger side effects (notifications, dashboards, logs). Use an internal event bus: in Laravel Event::dispatch(), in Node.js—EventEmitter.

CREATE TABLE tasks (
  id          BIGSERIAL PRIMARY KEY,
  project_id  BIGINT NOT NULL REFERENCES projects(id),
  parent_id   BIGINT REFERENCES tasks(id),
  path        LTREE NOT NULL,           -- PostgreSQL ltree: '1.5.23'
  title       VARCHAR(500) NOT NULL,
  status      task_status NOT NULL DEFAULT 'todo',
  priority    SMALLINT NOT NULL DEFAULT 2,
  assignee_id BIGINT REFERENCES users(id),
  due_date    DATE,
  estimate    INTEGER,                  -- in minutes
  created_at  TIMESTAMPTZ DEFAULT now()
);

CREATE INDEX tasks_path_gist ON tasks USING GIST (path);
CREATE INDEX tasks_project_status ON tasks (project_id, status);

This approach with ltree is described in the PostgreSQL documentation.

Task dependencies:

CREATE TABLE task_dependencies (
  task_id       BIGINT REFERENCES tasks(id),
  depends_on_id BIGINT REFERENCES tasks(id),
  type          dep_type NOT NULL,
  PRIMARY KEY (task_id, depends_on_id)
);

Before saving a dependency, we check for cycles using depth-first graph search or a recursive CTE.

Implementing Workflow and Realtime

Workflow is the main reason for building a custom system. Approach: configurable workflows per task type. Each type (Task, Bug, Epic) has its own state machine with different transitions and guards. Our custom PM system development process ensures 3x faster workflow customization compared to generic tools.

// Laravel + winzou/state-machine
'bug' => [
    'graph' => 'bug_workflow',
    'property_path' => 'status',
    'states' => ['new', 'triaged', 'in_progress', 'in_review', 'resolved', 'closed', 'reopened'],
    'transitions' => [
        'triage'   => ['from' => ['new'],         'to' => 'triaged'],
        'start'    => ['from' => ['triaged'],      'to' => 'in_progress'],
        'review'   => ['from' => ['in_progress'],  'to' => 'in_review'],
        'resolve'  => ['from' => ['in_review'],    'to' => 'resolved'],
        'close'    => ['from' => ['resolved'],     'to' => 'closed'],
        'reopen'   => ['from' => ['resolved', 'closed'], 'to' => 'reopened'],
    ],
    'callbacks' => [
        'after' => [
            'notify_assignee' => ['on' => ['start', 'review'], 'do' => 'NotifyAssigneeCallback'],
        ],
    ],
],

The workflow configuration is stored in the database and editable via a visual builder.

Step-by-step state machine setup

1. Define states and transitions for each task type.
2. Create guards to check permissions and conditions.
3. Register callbacks for notifications and audit.
4. Test all transitions via unit tests.

Realtime updates. Stack: Laravel Reverb, Soketi, or Ably. Private channels at the project and task level. Presence channels show who is viewing a task. Optimistic updates on the frontend via React Query.

// Frontend: Laravel Echo + React
const channel = window.Echo.private(`project.${projectId}`);
channel
  .listen('.task.updated', (e) => {
    queryClient.invalidateQueries(['tasks', e.task.id]);
  })
  .listen('.comment.created', (e) => {
    setComments(prev => [...prev, e.comment]);
  });

What Views and Time Tracking Are Needed?

Minimum set: Kanban board (drag-and-drop via @dnd-kit/core, virtualization for 50+ cards), nested list (tree-table, server-side sorting), Gantt chart (frappe-gantt or @dhtmlx/gantt, showing dependencies), calendar view (FullCalendar).

Time tracking. Global timer in UI, stores state in localStorage, syncs with server. Log data stored in a table with automatically computed duration. On tab close—beforeunload saves the current interval.

Implementing Roles, Notifications, and Search

RBAC with project-scope roles. System roles (admin, member) and project roles (owner, manager, developer, viewer, external). Use spatie/laravel-permission scoped to the Project model. Guest access via separate tokens.

Notifications—multi-channel: email, push, in-app, Slack. Users configure subscriptions in their profile. Technically: queue via Laravel Queues / BullMQ, batched email sending.

Search. PostgreSQL FTS via tsvector is sufficient up to 200,000 tasks. For larger volumes—OpenSearch.

ALTER TABLE tasks ADD COLUMN search_vector TSVECTOR;
UPDATE tasks SET search_vector =
  to_tsvector('english', coalesce(title, '') || ' ' || coalesce(description, ''));
CREATE INDEX tasks_search ON tasks USING GIN(search_vector);

Ensuring PM System Performance

Integrations with Git repositories, CI/CD, Slack/Teams, Confluence/Notion, Google Calendar are built on OAuth 2.0, webhooks, and REST API. Tokens are encrypted.

What's Included

Upon project completion, you receive:

• Full source code with comments
• Documentation on architecture, data model, API
• Docker configurations for deployment
• Operations and backup instructions
• Team training (up to 3 sessions)
• 3-month warranty support

Estimated Timelines

Full project: 22–32 weeks. Iterative launch in 10–12 weeks—core functionality without Gantt and integrations. Order a project assessment and get an optimal plan.

How We Guarantee Quality

Our experience—10+ years in corporate system development. Every project undergoes architecture review, load testing, and security audit before launch. We guarantee stable operation under load up to 10,000 concurrent users. Contact us for a consultation. Get a cost estimate for your project.

What Does SaaS Platform Development Involve? Multi-Tenancy, Billing, and Beyond

We know this pain by heart. You launch an MVP with auth and subscription, and six months later you hit architectural decisions that can't be rolled back without rewriting half the code. Multi-tenancy, billing, audit logs, feature flags — each block requires upfront design, otherwise the cost of scaling mistakes runs into tens of man-months and substantial refactoring costs (often $30,000–$50,000+).

Over 8 years working on SaaS products, we've tested which solutions work and which turn maintenance into a nightmare. Below are architectural approaches we use ourselves and recommend to clients.

How we build multi-tenancy: isolation without overhead

The first decision is the data separation scheme. Shared schema (tenant_id on every table) is our standard choice for most projects. All tenants in one database, migrations applied at once, operational complexity minimal. In Laravel we implement it via Global Scope:

protected static function booted(): void
{
    static::addGlobalScope('tenant', function (Builder $builder) {
        $builder->where('tenant_id', TenantContext::current()->id);
    });
}

The global scope is only the first line of defense. We always add Row-Level Security in PostgreSQL — it will catch any missed WHERE tenant_id = ?:

ALTER TABLE orders ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON orders
    USING (tenant_id = current_setting('app.tenant_id')::uuid);

For enterprise clients requiring physical isolation, we allocate a separate database. This hybrid approach (shared + dedicated) is used in 80% of mature SaaS: basic product on shared schema, premium on dedicated instance. We implement it from the first sprint to avoid rewriting logic later. Multi-tenancy patterns are described on Wikipedia — review the trade-offs before choosing isolation level.

Why Is Billing the Most Underestimated Block?

Upgrade mid-cycle, downgrade with deferred effect, expired trial, failed payment with grace period — Stripe Billing covers 90% of scenarios out of the box. We always process webhooks (customer.subscription.updated, invoice.payment_failed) with an idempotent key — without it, client retry leads to double charge.

For CIS markets — YooKassa or Tinkoff recurring. Their APIs are less convenient but cover 54-FZ requirements.

Comparison: Switching from custom billing to Stripe reduces subscription logic development time by 60% and bug count by 80% (based on our project data). That translates to $15,000–$25,000 savings on a typical SaaS MVP.

Onboarding: how not to lose the user before aha-moment

Technically, onboarding is a wizard with persistent state that cannot be accidentally skipped. Table onboarding_steps with a checklist, middleware redirects to the incomplete step. After completion — a flag in user settings, middleware disabled.

Critical nuance: show real product progress, not abstract steps. "Create your first report" instead of "Complete step 3 of 5." We use drip campaigns via Customer.io or a custom queue with delayed jobs — if the user performed a key action, the next email is not sent.

How to Implement Feature Flags and Access Control?

SaaS with plans requires granular control. Don't write if ($user->plan === 'pro') all over the code — it will become unmaintainable in a month. Instead:

• Backend: Gate + Policy with checks via features table linked to plans.
• Frontend: context with flags loaded at app initialization.
• Open-source tools: Unleash or Growthbook — UI for A/B testing and rollout.

Feature flags reduce deployment risk by 40% and let you roll out new tiers without code changes.

How to Protect API from Aggressive Clients?

Rate limiting is a must for public API. One client can bring down all others. In Laravel we use Redis with sliding window counter:

Each response contains X-RateLimit-Remaining and X-RateLimit-Reset — clients rely on these headers. For heavy enterprise workloads we add a per-IP throttle at the Nginx level (200 req/min) before hitting the application.

Audit Logs and Monitoring: What, Who, and When?

Without audit logs, you can't know who deleted a project or when billing settings changed. Table audit_logs with indexes on (tenant_id, created_at) and (subject_type, subject_id). In Laravel — Observers on key models.

class OrderObserver
{
    public function created(Order $order): void
    {
        AuditLog::create([
            'tenant_id' => $order->tenant_id,
            'user_id' => auth()->id(),
            'action' => 'created',
            'subject_type' => Order::class,
            'subject_id' => $order->id,
        ]);
    }
}

Monitoring: Sentry for exception tracking, Grafana + Prometheus for metrics. Alerts on error rate > 5% and response time p95 > 2s. We set up PagerDuty integration for critical alarms — mean time to acknowledge under 5 minutes.

Our Team's Experience and Guarantees

Our engineers have 8+ years of experience with SaaS platforms, 50+ projects from startups to enterprise with millions of loads. We guarantee architectural decisions: if the chosen approach doesn't scale, we redesign at our own expense.

Deliverables and Guarantees

• Architecture documentation: diagrams, ERD, sequence diagrams.
• CI/CD setup (GitHub Actions / GitLab CI).
• Access to repository, staging, and production.
• Team training: 2–3 sessions on code review and runbook.
• Post-launch support for 1 month.
• Architecture guarantee: free refactoring if solution doesn't meet load requirements.

Work Process

1. Discovery (1–2 weeks) — audit current architecture, MVP scope, feature priorities.
2. Design (1 week) — stack selection, multi-tenancy scheme, billing plan.
3. Development (4–12 weeks) — 2-week sprints, demo after each.
4. Testing (1 week) — load tests under target load, security audit.
5. Deployment and training (1 week) — rollout, monitoring setup, documentation handover.

Timeline Estimates

Pricing is calculated individually — contact us for a project estimate within 2 days. Order turnkey development: from design to deployment with architecture guarantee. Get a consultation on your product architecture — first hour free.