What is SigNoz?

While Product Managers obsess over user behavior tools like Mixpanel, Engineering teams obsess over Observability. When an Indian consumer opens a quick-commerce app on Diwali night and the "Checkout" button takes 8 seconds to load, the user drops off. The PM sees a dip in the conversion funnel, but they cannot fix it. The Engineering team must figure out why it was slow. Was the payment gateway API lagging? Was the Postgres database locking? Did a microservice crash and restart?

Application Performance Monitoring (APM) tools answer these questions. Historically, companies like Datadog and New Relic monopolized this space. However, their pricing is notoriously predatory—startups frequently wake up to $20,000 monthly bills because an engineer accidentally left "Debug Logging" turned on over the weekend.

SigNoz (built in India) fixes this. It is a full-stack, open-source APM tool built natively on OpenTelemetry. It unifies Traces, Metrics, and Logs into a single pane of glass. Because it is open-source, an Indian startup can deploy it inside their own AWS Mumbai region, ensuring strict data localization and capping their costs solely to AWS compute charges.

6 Key Features That Matter

1. OpenTelemetry Native: SigNoz does not force you to install proprietary tracking agents. It uses OpenTelemetry, the global open-source standard. You instrument your Go, Python, or Node.js code once, and you can pipe that standard data into SigNoz effortlessly.
2. Unified Logs, Metrics, and Traces: In legacy setups, a developer looks at metrics in Prometheus, searches logs in ElasticSearch/Kibana, and views traces in Jaeger. Switching between tools slows down incident response. SigNoz combines all three into one UI. If you see a latency spike in a metric chart, you click it and instantly see the exact log files associated with that specific minute.
3. Distributed Tracing (Flamegraphs): For modern microservice architectures, tracking a single user request is hard. SigNoz provides beautiful "Flamegraphs" that visually map exactly how long a request spent in the Auth Service, the Inventory Service, and the Payment Database, instantly highlighting the specific bottleneck.
4. Exceptions Monitoring: Automatically captures and aggregates unhandled exceptions and errors from your codebase, grouping similar errors together so your on-call engineers aren't overwhelmed with thousands of identical Slack alerts.
5. Custom ClickHouse Backend: SigNoz uses ClickHouse (a blazing-fast columnar database) for storage. This makes querying massive volumes of log data incredibly fast and highly efficient on storage costs compared to traditional ElasticSearch stacks.
6. Custom Dashboards & Alerts: Build granular dashboards tracking exact P99 latency limits and configure alerts to ping your PagerDuty or Slack channels the second an API drops below acceptable performance thresholds.

Pricing Breakdown (INR Context)

SigNoz offers the most disruptive pricing model in the observability space. Note: Converted at 1 USD = ₹84.

• Open Source (Self-Hosted): ₹0. 100% free forever. You deploy the Docker or Helm charts on your own AWS/GCP infrastructure. You pay zero SaaS fees, paying only the cloud provider for the EC2 instances and EBS storage required to hold your logs.
• SigNoz Cloud (Team): ~₹16,700/month ($199/mo). If you do not want to manage the underlying infrastructure, SigNoz will host it for you. This tier is vastly cheaper and far more transparent than Datadog, charging simply based on the GBs of logs and traces ingested.
• SigNoz Cloud (Enterprise): Custom Pricing. Unlocks advanced SSO, RBAC (Role-Based Access Control), and dedicated support SLAs for massive engineering orgs.

Who Should Use SigNoz?

Indian startups from Seed to Series C with engineering teams operating modern microservice architectures (Kubernetes/Docker) who want to escape the vendor lock-in and extortionate pricing of legacy APM tools.

It is specifically excellent for Fintech and Healthtech companies. Because these sectors deal with highly sensitive PII, sending raw application logs (which occasionally leak user data) to an external SaaS provider in the US is a massive security risk. Self-hosting SigNoz guarantees the data never leaves your VPC.

Who should NOT use it: Non-technical teams without DevOps resources. While the Cloud version is easy to set up, self-hosting requires an engineer who understands Docker, Kubernetes, and ClickHouse maintenance.

First 5 Setup Steps for DevOps Teams

Deploying the open-source version requires basic DevOps hygiene.

1. Provision Infrastructure: Spin up a dedicated AWS EC2 instance (minimum 4vCPU and 16GB RAM for production workloads). Do not run it on the same node as your primary application.
2. Install via Docker/Helm: Run the simple installation script provided by SigNoz to spin up the required containers (Query Service, Frontend, OpenTelemetry Collector, and ClickHouse).
3. Instrument Your Application: Add the OpenTelemetry SDK to your backend application. For languages like Java, Python, and Node.js, OpenTelemetry offers "Auto-Instrumentation" libraries that track basic HTTP requests and DB queries without you writing any custom code.
4. Route Telemetry to SigNoz: Point your application's OpenTelemetry exporter endpoint to the IP address of your newly deployed SigNoz instance.
5. Configure Retention Policies: By default, logs consume massive amounts of storage. Configure ClickHouse TTL (Time to Live) settings to automatically delete debug logs after 7 days, but retain high-level metrics for 90 days.

Top Alternatives in the Indian Market

• Datadog: The absolute market leader. It possesses an unparalleled ecosystem of integrations and extreme polish. However, their aggressive billing practices (charging separately for hosts, log indexing, and custom metrics) make it a terrifying line item on a startup's P&L.
• New Relic: A legacy giant that recently pivoted to a more transparent user-based pricing model, though it still suffers from some interface bloat compared to modern challengers.
• Grafana / Prometheus / ELK Stack: The traditional open-source DIY method. While highly effective, stringing these three disparate tools together creates a massive maintenance burden for the DevOps team. SigNoz effectively replaces this entire fractured stack with a single unified solution.