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
| Parameter | Custom PM System | Jira (SaaS) |
|---|---|---|
| Cost at 500+ users | Up to 60% cheaper (saves ~$24,000/year) | High annual subscription |
| Workflow flexibility | Any transitions, guards, visual editor | Only standard schemes; complex customizations are expensive |
| Integrations | Any systems via API, OAuth, webhooks | Limited set, additional plugins required |
| Data | Full control, stored on your premises | On vendor servers; export limited |
| Performance | Customizable; up to 10,000 concurrent users | Depends on plan; possible limits |
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
- Define states and transitions for each task type.
- Create guards to check permissions and conditions.
- Register callbacks for notifications and audit.
- 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
N+1 problem and its solution
The N+1 query on the task list is solved by eager loading. Denormalize progress counters. Cursor-based pagination for large lists.
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
| Stage | Description | Duration |
|---|---|---|
| Design | Workflows, roles, integrations, wireframes | 3–4 weeks |
| Core system | Projects, tasks, workflows, permissions | 6–8 weeks |
| UI: list + Kanban | Basic views | 4–5 weeks |
| Realtime + notifications | WebSocket, email, push | 2–3 weeks |
| Gantt + calendar | Complex views | 3–4 weeks |
| Time tracking | Timer, logs, reports | 2 weeks |
| Integrations (2–3) | Git + Slack + Calendar | 3–4 weeks |
| Testing, launch | E2E, load testing | 2–3 weeks |
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.