About the Course
Organizations investing in Site Reliability Engineering (SRE) Practices usually want results they can prove: lower MTTR, fewer avoidable incidents, clearer SLO attainment, and more disciplined use of error budgets. To do that, you need to demonstrate capability across service level indicators, service level objectives, incident response, observability, and capacity planning, while keeping the team aligned to shared reliability goals shaped by ITIL 4 and modern DevOps operating models. This course focuses on the operational side of reliability, not abstract theory, so you can connect system health to service outcomes that matter to product and operations leaders.
The course turns scattered reliability knowledge into a structured working system. You will practice SLI selection, SLO drafting, error budget policy design, Prometheus-style metrics interpretation, Grafana dashboard thinking, incident triage, blameless postmortems, and runbook creation. You will also be introduced to AI-assisted alert analysis and AIOps patterns at an operational awareness level so you can evaluate where automation helps and where human review still matters. What you will learn: how to design SLOs, use observability data to detect service risk, and build practical response artifacts that improve reliability decisions. In hands-on work, you will create reliability targets and incident workflows; at overview level, you will review AIOps concepts, Kubernetes reliability considerations, and closed-loop remediation patterns.
Reliability work rarely happens in ideal conditions. Teams often face incomplete telemetry, legacy dependencies, competing delivery priorities, and budget pressure that limits tool sprawl and staffing headcount. This course is built for those realities, helping you make measurable improvements in environments where service owners, developers, support teams, and leadership all need the same reliability story without adding unnecessary process overhead.
Target Audience
This course is designed for professionals who already support production services and need a more structured reliability practice. It fits teams that manage uptime, incident response, observability, and service-level reporting.
- Site Reliability Engineers managing service-level targets and error budgets
- DevOps Engineers automating release and rollback reliability controls
- Platform Engineers hardening shared infrastructure and observability
- Production Support Engineers triaging incidents and escalating service risk
- Cloud Operations Analysts interpreting telemetry and alert patterns
- Incident Managers coordinating response and post-incident reviews
- Engineering Managers tracking reliability commitments and team capacity
- Application Support Leads maintaining runbooks and operational readiness
- Capacity Planning Specialists forecasting load and availability constraints
- Technical Product Owners balancing delivery scope against reliability objectives
Course Objectives
This course equips you to design, execute, and measure Site Reliability Engineering (SRE) initiatives that improve service availability, strengthen incident control, and support business-facing reliability reporting.
- Assess current service health using SLI, SLO, and error budget baselines.
- Apply blameless postmortem methods to recurring incidents and service degradations.
- Design SLO documents, runbooks, and escalation paths for production services.
- Build observability dashboards using metrics, logs, traces, and alert thresholds.
- Calculate error budget consumption and MTTR from incident and telemetry data.
- Evaluate incident response readiness against ITIL 4 practices and local runbooks.
- Implement reliability targets and automated alert routing using monitoring workflows.
- Synthesize reliability findings into executive-ready service reports and action plans.
Requirements & Prerequisites
Prerequisites required: working knowledge of Linux or Unix-based systems, basic networking concepts such as HTTP, DNS, and TCP/IP, and familiarity with cloud or containerized application environments. You should also bring a laptop and be ready to work with sample incident data, service metrics, and dashboard exercises. No programming certification is required, and coding is not mandatory for completion, although comfort with command-line tools and operational logs will help you get more value from the labs.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn Site Reliability Engineering (SRE) Practices aspiration into measurable action and credible reporting.
Methodology includes:
- Hands-on SLI and SLO calculations using incident and uptime datasets.
- Scenario simulation for a multi-service outage with constrained on-call coverage.
- Diagnostic review using an SRE checklist, error budget policy, and runbook.
- Stakeholder mapping across engineering, support, product, and service ownership chains.
- Case study analysis from SaaS, financial services, e-commerce, and telecom environments.
- Group workshop to produce a reliability dashboard and incident action plan.
- Reflection exercise comparing current alerting practice against SLO-based benchmarks.
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Site Reliability Engineering (SRE) Practices Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Effective Learning & Skill Development
- Build expertise with structured, outcome-driven learning.
- Equip individuals and teams with skills that grow with industry needs.
- Reinforce learning through real-world scenarios, case studies and practical exercises.
Career Growth & Professional Advancement
- Apply what you learn with a proven methodology that ensures lasting impact.
- Develop immediately usable skills that translate directly into workplace success.
- Gain the expertise needed for career advancement and leadership roles.
Training Optimization & Learning Excellence
- Tailor training to industry-specific challenges and organizational goals.
- Use data-driven insights and automation to enhance training effectiveness.
- Evaluate progress and ensure long-term learning success.
Tools and platforms relevant to this field
Examples United Kingdom teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Grafana Grafana LabsTo build operational dashboards for SLIs, SLOs, latency, and error-budget tracking across services.
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Prometheus PrometheusTo collect time-series metrics and support alerting for service reliability monitoring.
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PagerDuty PagerDutyTo route incidents, page responders, and coordinate on-call response workflows.
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ServiceNow ServiceNowTo manage incident records, escalation workflows, and post-incident follow-up in structured IT operations.
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Datadog DatadogTo combine infrastructure monitoring, application observability, and alerting in one platform.
