--- title: Obsium Observability Solutions description: Open-source observability stacks unifying metrics, logs, and traces, with OpenTelemetry, SLO alerting, air-gapped deployments, and telemetry cost control. url: https://obsium.io/services/observability-solutions/ markdown_url: https://obsium.io/services/observability-solutions.md company: Obsium last_updated: 2026-10-05 --- # Obsium Observability Solutions Obsium is a cloud, DevOps, and Kubernetes consultancy with offices in Pleasanton, California and Kochi, India. Obsium designs, builds, and operates observability stacks that unify metrics, logs, and traces in one view. Stacks run on open-source tooling inside your environment, with no vendor lock-in or per-GB billing. Observability is Obsium's founding discipline. ## Services | Service | What it covers | Tools / scope | | ----------------------------------- | ----------------------------------------------------------------------- | ------------------------------------- | | Full-Stack Observability | Infrastructure, services, and apps in one view with team dashboards | Metrics, logs, traces, dashboards | | Custom-Built Observability | Bespoke stacks from agents to storage to dashboards | Custom agents, pipelines | | OpenTelemetry Instrumentation | Standardized, vendor-neutral, portable telemetry | OpenTelemetry, auto-instrumentation | | SLOs, Alerting & Incident Insight | Alerts tuned to user impact, SLOs, error budgets, on-call context | SLOs, error budgets, alerting | | Air-Gapped & Secure Deployments | Self-contained stacks fully inside your network | Air-gapped, on-prem, compliance | | Telemetry Cost Optimization | Noise reduction, storage tiering, right-sized retention | Sampling, retention, cardinality control | ## Engagement models | Model | What it is | | -------------------------------------------- | ----------------------------------------------------------------------- | | Observability Assessment | Review of monitoring, coverage gaps, and alert noise with a roadmap | | Build & Instrument | Collection, storage, dashboards, alerting built and handed over documented | | Embedded Observability Engineers (specialty) | Senior engineers instrument your systems alongside your team | | Managed Observability | Obsium runs and evolves the stack 24/7 | ## Engagement process | Stage | Timeline | Deliverables | | ----------------------- | ---------- | ---------------------------------------------------------------------------------------- | | 1. Assess & Baseline | Weeks 1-2 | Audit of monitoring, coverage gaps, alert noise. Findings ranked by blind spot and risk | | 2. Design & Instrument | Weeks 2-4 | Collection, storage, OpenTelemetry, dashboards, alerting. First dashboards live day one | | 3. Build & Embed | Weeks 4-12 | Staged rollout service by service with embedded engineers | | 4. Operate & Optimize | Ongoing | Escalation point or shared monitoring. Monthly reviews of noise, SLOs, and data cost | ## Pricing Obsium scopes by outcome, not billable hours or data volume. There is no public price list and no per-seat or per-GB fees. A free 30-minute scoping call ends with a written fixed range. ## How Obsium compares | | DIY in-house | SaaS vendor | Obsium | | ---------------------- | ----------------------- | --------------------------- | ----------------------------------- | | What you get | Dashboards, no answers | A tool, not a practice | Answers to unpredicted questions | | Who does the work | Team learning as they go | You, with their docs | Senior observability engineers | | Tooling | Whatever's easiest | Pricey SaaS you can't leave | Open source, yours to keep | | Data cost | Grows unchecked | Billed per GB, forever | Right-sized, cost-controlled | | Air-gapped & regulated | Possible, painful | Usually not supported | Routine, entirely in your network | | Alerts | Noisy, ignored | Out-of-the-box thresholds | Tuned to real user impact | | Pricing | Salaries + tool sprawl | Per-seat and per-GB, creeping | Fixed range, scoped by outcome | ## Results ### Full-stack observability (US banking SaaS) Multi-tenant Grafana LGTM, S3 backend, Terraform. Agents cut from 3 to 1 per cluster, no public-internet telemetry. Case study: https://obsium.io/case-studies/full-stack-observability-for-a-us-banking-saas-platform/ ### Observability built into an IDP (financial services) Self-serve deploys under 2 minutes, 300+ concurrent CI/CD runs with zero degradation. Case study: https://obsium.io/case-studies/self-service-kubernetes-internal-developer-platform/ ### Observed zero-downtime migration (enterprise) 54 Windows Server workloads, ~18 TB from VMware to AWS with 0 hours downtime and full visibility during cutover. Case study: https://obsium.io/case-studies/vmware-to-aws-migration-windows-server/ 100+ clients. Client references include Thoughtminds.io, Ellow Technologies, Wizr.ai, Sayone Technologies, and ServerAudit. ## Partnerships Certified partner across Microsoft Azure, AWS Partner Network, and Google Cloud. ## FAQ ### What is observability? The ability to understand what's happening inside a system from the metrics, logs, and traces it emits, including questions nobody anticipated when it was built. ### Monitoring vs observability? Monitoring watches for known problems with predefined dashboards and alerts. Observability gives correlated signals to investigate unknown problems. You need both. ### Do you lock us into a vendor? No. Prometheus, Grafana, Loki, Tempo, OpenTelemetry, and similar open-source tools, deployed in your environment and yours to keep. ### Can you deploy in air-gapped or regulated environments? Yes. Fully self-contained stacks keep every metric, log, and trace inside your network. ### Will this reduce observability costs? Usually. Cutting noise, tuning sampling and retention, and controlling cardinality often saves a lot compared to per-GB SaaS contracts. ### Do you work with our existing tools? Yes. Prometheus, Grafana, Datadog, OpenTelemetry, and more. Gaps get filled without a rip-and-replace unless a change clearly pays for itself. ## Related reading - [Unified Observability for Kubernetes: Complete Guide](https://obsium.io/blog/unified-observability-for-kubernetes/) - [Why Observability Programs Fail After Tool Deployment](https://obsium.io/blog/why-most-observability-programs-fail-after-tool-deployment/) - [Grafana vs Datadog vs New Relic](https://obsium.io/blog/grafana-vs-datadog-vs-new-relic/) ## Contact Book a free scoping call at [obsium.io/contact-us](https://obsium.io/contact-us/) or email hello@obsium.io. - US: 6200 Stoneridge Mall Rd, Pleasanton, CA 94588 - India: GB4, Ground Floor, Athulya, Infopark Phase 1, Kakkanad, Kochi 682042