Reliability You Can Measure. Operations You Can Scale.
We establish the SRE practices that balance system reliability with engineering velocity — defining SLOs, building observability, and creating the on-call culture that sustains both.
SRE
- SLO Framework
- Observability Platform
- On-Call Program
- Runbook Development
SLO & SLI Design
Service Level Objectives define what "reliable enough" means for each service — making reliability a data-driven conversation, not an argument.
Get Started- SLI identification: latency, availability, error rate, saturation
- SLO target-setting aligned to user expectations and business impact
- Error budget calculation and visualization
- SLO reporting dashboards for engineering and leadership
- Multi-window alerting aligned to SLO burn rate
Observability Stack
You can't improve what you can't measure. We build the metrics, logs, and traces infrastructure that gives your team full system visibility.
Get Started- Prometheus and Grafana for metrics and dashboards
- OpenTelemetry instrumentation for distributed tracing
- Centralized logging with Loki, ELK, or Datadog Logs
- Synthetic monitoring and uptime checks
- Custom alerting rules eliminating alert fatigue
Incident Response & On-Call
Great incident response is a practice, not improvisation. We establish the playbooks, tooling, and culture for fast, structured incident resolution.
Get Started- On-call rotation design and PagerDuty setup
- Incident severity classification and escalation matrix
- Runbook development for common incident types
- Incident command structure and communication templates
- Blameless post-mortem process and action item tracking
Toil Elimination & Automation
SRE teams should spend time on engineering, not repetitive manual operations. We identify and automate the toil burning your engineers' time.
Get Started- Toil audit: quantify time spent on manual operations work
- Automated remediation for common alert types
- Self-healing infrastructure with AWS EventBridge and Lambda
- Runbook automation using Ansible and PagerDuty
- Capacity planning automation and proactive scaling
What We Deliver
A comprehensive set of SRE capabilities, designed to work together or independently.
SLO Framework
SLI definition, SLO targets, error budgets, and burn rate alerting for every service.
Observability Platform
Prometheus, Grafana, and OpenTelemetry stack with custom dashboards and alerts.
On-Call Program
PagerDuty setup, rotation design, escalation policies, and runbook library.
Runbook Development
Step-by-step runbooks for common incident types and operational procedures.
Post-Mortem Process
Blameless post-mortem framework and action item tracking for continuous improvement.
Toil Automation
Automated remediation and self-healing reducing manual operational burden.
Teams that implement SRE practices typically see a 60% reduction in production incidents within 6 months.
Good runbooks and observability reduce mean time to recover by 5x or more.
Properly configured alerting delivers actionable pages within 5 minutes of a real issue.
Why Choose InnovTen
We don't just deliver projects. We build partnerships that drive long-term outcomes.
Data-Driven Reliability
SLOs replace subjective arguments about reliability with measurable, agreed-upon targets.
Velocity Without Breaking Things
Error budgets create a framework for balancing reliability and feature velocity.
Full System Visibility
Metrics, logs, and traces giving your team the context to resolve incidents quickly.
Sustainable On-Call
Proper on-call design and automation preventing the burnout that causes team turnover.
Reduced Toil
Automating repetitive operations frees engineers for work that actually improves the system.
Organizational Learning
Blameless post-mortems build institutional knowledge and prevent incident recurrence.
Our Delivery Process
How we approach every SRE engagement, from first call to ongoing operations.
Current State Assessment
Review current alerting, incident history, on-call practices, and observability gaps.
SLO Design Workshop
Define SLIs and SLOs for critical services with engineering and product stakeholders.
Observability Build
Deploy Prometheus, Grafana, distributed tracing, and structured logging infrastructure.
On-Call & Runbooks
Design on-call rotations, configure PagerDuty, and develop runbooks for top incident types.
Toil Automation
Identify and automate top toil items to reduce operational burden on the engineering team.
Current State Assessment
Review current alerting, incident history, on-call practices, and observability gaps.
SLO Design Workshop
Define SLIs and SLOs for critical services with engineering and product stakeholders.
Observability Build
Deploy Prometheus, Grafana, distributed tracing, and structured logging infrastructure.
On-Call & Runbooks
Design on-call rotations, configure PagerDuty, and develop runbooks for top incident types.
Toil Automation
Identify and automate top toil items to reduce operational burden on the engineering team.
SRE in Action
Real-world applications across industries we've delivered for.
SRE Program Launch
Established SRE practice from scratch — SLOs, observability, and on-call program. 65% reduction in production incidents in 6 months.
On-Call Burnout Recovery
Reduced on-call alert volume from 200 to 15 actionable pages per week through alert tuning and runbook automation.
Observability Migration
Migrated from fragmented monitoring to unified Prometheus/Grafana/Otel stack — MTTR improved from 45 minutes to 8 minutes.
Post-Mortem Culture
Implemented blameless post-mortem process — recurring incidents dropped 70% as root causes were systematically addressed.
Frequently Asked Questions
Common questions about our SRE services.
An SLO (Service Level Objective) is a target reliability level for a service — for example, "99.9% of requests succeed within 500ms." SLOs matter because they make reliability a data-driven conversation. Instead of "the site feels slow," you have a specific target and can measure whether you're meeting it.
If your SLO is 99.9% availability, you have 0.1% of the time as your "error budget" — time the service is allowed to be unreliable. Error budgets are spent on incidents but also on risky deployments and planned downtime. When the budget is exhausted, you prioritize reliability over new features until it replenishes.
Prometheus + Grafana is open-source, highly customizable, and free (excluding infrastructure costs) — best for teams with engineering capacity to manage it. Datadog is a fully managed SaaS that's faster to get value from but significantly more expensive at scale. We help you choose based on team size, budget, and operational capacity.
Sustainable on-call requires: actionable alerts (no noise), good runbooks so on-call engineers can resolve issues quickly, reasonable rotation frequency (no more than 1 week in 5 on primary), and a commitment to reducing toil every sprint. We design rotations and alert standards that prevent the burnout that causes attrition.
Ready to Get Started with SRE?
Tell us about your project. We'll respond within 24 hours with a clear next step.