SRE Consulting
Site Reliability Engineering for high-availability systems
We provide Site Reliability Engineering (SRE) consulting for companies that operate business-critical, high-traffic systems and need more predictable reliability as systems scale. SRE combines software engineering and operations to improve availability, performance, and resilience — without unnecessarily slowing down delivery.
When SRE Consulting Is Needed
Teams typically reach out when:
SRE applies engineering discipline to improving system reliability.
What We Deliver
Reliability Strategy & SRE Foundations
Reliability goals and error budgets, SLO / SLA / SLI definition, Incident response models, Clear ownership and escalation paths.
Observability & Monitoring
Metrics, logs, and traces aligned with SLOs, Alerting designed to focus on symptoms rather than alert noise, Dashboards for engineering and management.
Incident Management & Response
Incident playbooks and runbooks, On-call structure and escalation policies, Postmortems with documented findings and improvement actions.
Scalability & Resilience Engineering
Load testing and capacity planning, Failure scenarios and controlled chaos testing where appropriate, Redundancy and failover strategies.
Core Capabilities
SLO-Driven Operations
- Define what "reliable" actually means
- Balance speed vs stability with error budgets
- Reduce alert fatigue
High-Availability Architecture
- Multi-AZ / multi-region setups
- Stateless services and resilient data layers
- Graceful degradation strategies
Production Readiness Reviews
- Release readiness checks
- Risk analysis before scale events
- Infrastructure and service audits
Automation & Automated Recovery
- Automated remediation
- Health checks and circuit breakers
- Defined and testable recovery workflows
Technologies We Use
Kubernetes & container platforms, Prometheus, Grafana, Alertmanager, OpenTelemetry, Loki, Tempo, Cloud monitoring (AWS, GCP, Azure), Load testing and chaos tooling
Our SRE Consulting Process
What You Gain
Results we're
proud to show
Engagement Models
When SRE Consulting Is Right
This service is ideal if:
FAQ
DevOps is a cultural and organizational approach to software delivery. SRE is a specific discipline within DevOps that applies software engineering principles to operations, focusing on reliability, SLOs, error budgets, and systematic incident management. SRE is more prescriptive and metrics-driven than general DevOps.
We work with stakeholders to define Service Level Objectives (SLOs) based on user experience and business requirements. Error budgets represent the acceptable amount of unreliability. When error budgets are exhausted, we focus on reliability improvements instead of new features. This balances speed and stability.
Yes — we integrate with existing monitoring stacks (Prometheus, Grafana, Datadog, New Relic, etc.) and enhance them with SRE practices: SLO-based alerting, structured incident management, and reliability-focused dashboards. We can also set up new observability stacks if needed.
A basic SRE setup with SLOs, monitoring, and incident management often takes several weeks, depending on system complexity. A comprehensive SRE transformation with full observability, automation, and reliability engineering can take several months. We start with an assessment to define scope and priorities.
We help design on-call structures, escalation policies, and incident response workflows. We can provide temporary on-call support during transitions, but our focus is on enabling your team to operate reliably long-term. We also offer ongoing SRE advisory for complex systems.
SRE outcomes depend on system architecture, operational maturity, and organizational constraints. Described practices and benefits represent established industry approaches, not guaranteed service levels.
SRE consulting for companies operating production systems. We support organizations with reliability engineering, observability setup, and SRE practices based on the specific technical and regulatory context of each project. All services are delivered individually and depend on system requirements and constraints.