Observability & SRE Services for platform-projects.com
Transform reliability into a product advantage. Our Observability & SRE service blends modern telemetry, automation, and SLO-driven operations to deliver resilient platforms, faster incident response, and predictable releases.
What’s Included
Discovery and assessment
Current monitoring, alerting, logging, tracing, on-call, and incident process review
Gaps and quick wins prioritized by impact and effort
SLI/SLO program
Business-meaningful SLIs (availability, latency, saturation, quality)
SLOs and error budgets with policies for burn-rate and release gating
Observability platform setup
Data pipeline design: collection, enrichment, retention, routing
Dashboards and alerts by service, team, and environment
Incident management
On-call design, runbooks, escalation policies
Incident command, comms templates, and postmortem practice
Automation
Health checks, canary/blue-green, rollback criteria
Runbook automation and self-healing patterns
Knowledge transfer
Playbooks, docs, and enablement sessions
Training on SLOs, observability tooling, and incident best practices
Trusted by many companies
what clients say
“We finally have end-to-end traces and SLOs that reflect user experience. Priorities are obvious now.”
Camille Dubois
what clients say
“Error budgets changed the conversation—fewer reactive fixes, more planned reliability work.”
Jacob Thompson
what clients say
“Dashboards are crisp, alerts are actionable, noise is way down. On-call is no longer a nightmare.”
Zanele Moyo
what clients say
“They guided us to a clean metrics/tracing strategy and helped retire redundant tools—saved costs and confusion.”
Viktor Petrov
what clients say
“Post-incident reviews became learning opportunities, not blame sessions. MTBF is steadily improving.”
Leila Rahimi
Outcomes You Can Expect
Reduced MTTR and fewer customer-impacting incidents
Clear reliability goals with SLOs and error budgets
Better release confidence with automated verifications
Lower toil through runbook and remediation automation
One source of truth for system health, from infra to application
What is the difference between Observability and Monitoring?
Monitoring tells you when something is wrong; Observability helps you understand why by correlating metrics, logs, traces, and events across systems.
Do we need to replace our existing tools to adopt this?
No. We integrate with your current stack (e.g., Prometheus, Grafana, Datadog, New Relic, OpenTelemetry) and add missing capabilities or standardize usage.
How long until we see value?
Within 2–4 weeks you’ll have critical dashboards, priority alerts, SLIs/SLOs for key services, and incident runbooks. We then iterate to reduce noise and MTTR.
What are SLIs, SLOs, and error budgets?
SLIs are reliability measurements (e.g., latency, availability). SLOs are targets for those SLIs. Error budgets quantify allowable unreliability and guide release pace and risk.
Can you support Kubernetes and microservices at scale?
Yes. We implement service-centric telemetry, golden signals, distributed tracing, and per-namespace/service dashboards with multi-cluster views.
How do you reduce alert fatigue?
We define alert priorities, use SLO burn-rate alerts, add ownership/runbooks to each alert, deduplicate, and tune thresholds based on historical data.
Do you offer 24/7 on-call or just advisory?
Both. We can set up and train your teams, or provide managed SRE with on-call participation, incident command, and continuous SLO reviews.
How do you handle security and compliance for telemetry data?
We design data retention, PII redaction, role-based access, encryption in transit/at rest, and audit trails aligned with your compliance requirements.
Can Observability help with cost optimization?
Yes. We right-size telemetry retention, sampling, and cardinality; and use usage/perf data to optimize infra, scaling policies, and CI/CD quality gates.
What does success look like after implementation?
lear SLO attainment, reduced MTTR/MTTD, fewer customer-impacting incidents, lower alert noise, and higher release confidence via automated health checks and rollbacks.
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