Opsven — Technical Documentation

Opsven is an AI-first observability and remediation platform that keeps systems healthy, predictable, and (delightfully) boring. This doc gives you an actionable start, success metrics, and fast fixes for the most common hiccups.

Main Focus: Empowering Ventures by Automating their IT Operations with AIOps Agentic Solutions

Business

• Reduce manual intervention by 40% within 90 days
• Cut MTTR by 60%
• Keep SLA compliance > 90%

Product

• Fast onboarding <48 hours
• Human-in-loop automation
• Clear audit trails and tenant isolation

1. Prereqs: Postgres, Redis, and a metrics source (Prometheus or CloudWatch).
2. Copy .env.example to .env.local and set credentials.
3. Run migrations: docker compose up -d postgres && npm run db:migrate.
4. Start the app: npm run dev and open http://localhost:3000/docs.
5. Connect a data source via UI or API — first metrics appear shortly after.

Tip: run npx opsven init (internal scaffolder) to automate steps 2–4.

1) App fails to start — "env: node: No such file or directory"

Why: Node 18+ is not available or not in PATH.

Fix: Install Node 18+. macOS: brew install node@18. Verify with node -v. Then run npm ci and npm run dev.

2) Database connection refused

Why: Postgres not running, wrong credentials, or networking issues in Docker.

Fix: Ensure postgres container is healthy (docker ps) and .env.local credentials match docker-compose.yml. Check logs: docker logs opsven-postgres.

3) No metrics in dashboards

Why: Prometheus not scraping or remote-write missing.

Fix: Validate monitoring/prometheus.yml, open http://localhost:9090/targets, and confirm the Opsven data-source is configured.

4) CORS or preflight errors

Why: Browser blocked OPTIONS or missing Access-Control headers.

Fix: Add frontend origin to CORS_ORIGIN in .env.local and restart.

5) Background jobs are slow

Why: Redis connection issues or no worker processes.

Fix: Check REDIS_URL, start workers, and view queues in Bull UI.

Pro tip: Paste the JSON from /api/health into support requests — it contains the essential diagnostics we need.

Opsven is modular by design:

• Ingestion: Prometheus, CloudWatch, webhooks.
• Processing: Real-time pipelines normalize and persist time-series and events.
• Detection: Neuron runs rule-based & ML detectors.
• Alerting: Echo deduplicates and routes notifications.
• Automation: AutoFlow executes playbooks with human approvals.

Fetch recent anomalies

GET /api/anomalies?tenant_id=TENANT_ID&limit=50

Create a webhook data source

POST /api/data-sources
{
  "type": "webhook",
  "name": "my-source",
  "config": { "secret": "..." }
}
      

Slack integration

Paste your Slack webhook under Settings → Integrations → Slack to receive summarized incidents.

Focus on contextual anomaly detection, LLM-driven incident summarization, and agentic automation that respects confidence thresholds.

Opsven adheres to SOC 2 and ISO 27001 best practices, ensuring data encryption at rest and in transit, tenant isolation, and secure secret management using HashiCorp Vault.

Opsven scales horizontally via Kubernetes, supports multi-region deployment, and leverages Redis streams for resilient event pipelines.

Opsven unifies metrics, logs, and traces to provide complete visibility across systems, reducing alert fatigue through intelligent correlation.

Incidents are auto-classified, summarized by LLMs, and assigned to the right responders. Built-in playbooks streamline resolution.

AutoFlow executes predefined workflows like scaling services, restarting pods, or clearing queues—optionally with human approval.

Custom dashboards visualize SLIs, SLOs, and cost metrics. Data is interactively filterable by tenant, service, or region.

Opsven integrates seamlessly with Slack, Jira, PagerDuty, Datadog, AWS, and GCP, allowing unified control across your toolchain.

Each tenant has isolated data stores, encryption keys, and dashboards, enabling white-label SaaS deployments for partners.

Opsven reduces monitoring spend via intelligent data retention, adaptive sampling, and anomaly-based alerting instead of thresholds.

Powerful analytics allow trend detection, SLA tracking, and forecasting of capacity needs, using Postgres CUBE and ML models.

The Neuron AI Engine correlates anomalies across services, ranks probable root causes, and generates summaries for human review.

Opsven logs every configuration change, alert acknowledgment, and automated action for full traceability and compliance.

Opsven serves SaaS companies, fintechs, and enterprises running distributed systems that demand high uptime and low MTTR.

Partners can customize logos, colors, and domains, giving clients a seamless, branded AIOps experience.

Upcoming: predictive maintenance, AI copilots for SREs, and no-code automation builder with visual workflows.

Available as SaaS, on-prem, or hybrid deployment with Helm charts and Docker Compose templates.

24/7 Slack-based support, dedicated success engineers, and detailed runbooks ensure seamless adoption.

Video tutorials, API playgrounds, and certification programs like Opsven Certified AIOps Specialist (OCAS) help teams master the platform.

Opsven fosters an active engineering community with open-source connectors, SDKs, and GitHub discussions.

Opsven envisions a world where every engineering team operates with autonomous resilience and zero toil.

We focus on building anomaly detection models, LLM-driven automation, and conversational interfaces.

• Competitor analysis
• Product R&D
• Conversational Interface

Registration tasks:

• Reserve unique name
• Prepare MOA + AOA
• Fill Forms 1, 21, 29
• Get DSC (Class 3)

Finance compliance: Tax returns, GST, Audit.

Empowering Ventures by Automating their IT Operations with AIOps Agentic Solutions.

• ☐ Validate opsven ideas via perplexity
• ✅ Landing page to make

• Startup ideas & frameworks — Greg Isenberg
• Cybersec → Geogemma → CISSP
• AI Consulting
• Neutrino → AIOps
• Integrate with any LLM
• OpsOS → Operating System for Operations

• ✅ Name reservation, copyrights, trademark
• ✅ SECP, PSEB registration
• ✅ Coding & Deploying Agents
• ✅ Business workflow, customer outreach
• ✅ Marketing
• ✅ Competitors Analysis
• ✅ Product R&D
• ✅ Investor Pitch Deck
• ✅ Brand Story & Branding
• ✅ Conversational Interface
• ✅ UX & Design
• ✅ Vision & Goals
• ✅ Scaling Up (InshaAllah)
• ✅ Coding in Production → Next.js
• ✅ UI Design → Figma
• ✅ LinkedIn Company Page
• ✅ Social Media Handles
• ✅ Website Domain Name
• ✅ Initial Deployment → Cloudflare

• Conversation UI — Web & App
• Agentic Chatbots
• AI Agents (No-code + With-code)
• Scalable Agentic AI Products
• Integrations
• SysOps — Cloud Solutions
• AI DevOps

1. Opsven Labs
2. Opsven Technologies
3. Opsven Web3
4. Opsven Robotics

• Robotics
• Agriculture — Drip Farming
• Dairy
• Biofuel
• Satellite Internet
• Renewable Energy
• Health
• Climate Change — Environment

CapEx (capital investment) | OpEx (operational expenditure)

Invest in company → first team then marketing then product, final goal = brand development.

Team building → blood n sweat → share equity basis → give ownership.

Investors

• Andreessen Horowitz
• Founders Fund
• Thrive Capital
• Greylock
• General Catalyst
• Khosla Ventures
• Index Ventures
• OpenAI

Muhammad Nabeel — Exclusive Shariah-Compliant Investment Opportunity

• Minimum Investment: PKR 1 Million
• Tenure: 1 Year
• Expected ROI: 20% annually
• Monthly Payout: ~PKR 16,666
• Security: Post-Dated Cheques

• ☐ Server Room
• ☐ Mental Health Area
• ☐ Doc Room
• ☐ Admin Room
• ☐ Meeting Pod/Gym
• ☐ Marketing
• ☐ Project Management
• ☐ Conference Hall
• ☐ Business Development
• ☐ Programmer Hall
• ☐ CEO Office
• ☐ Creative Room
• ☐ HR & Kitchen
• ☐ AI Room

opsven.atlassian.net

Agile → Scrum → Sprints (2–3 weeks) → Retro (perc% for dev/qa/devops)

Sprint planning ← backlog (keeps growing as product owner adds epics/stories)

Sprints | Kanban

Last updated: 8/30/25 10:35AM

1. Discovery & System Audit: Align stakeholders, gather requirements, and audit infra.
2. Architecture & Solution Design: Define AI frameworks, integration points, and data models.
3. Infrastructure & AI Setup: Deploy cloud infra, CI/CD, AI models.
4. Workflow Development: Connect automation pipelines and data sources.
5. Testing & Optimization: Validate performance, fine-tune models.
6. Deployment & Team Enablement: Rollout and train teams.
7. Post-Deployment Support: Monitor, support, and iterate.