Reliability Engineering: SLIs, SLOs and Error Budgets

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Reliability Engineering: SLIs, SLOs and Error Budgets  Overview

The Reliability Engineering: SLIs, SLOs and Error Budgets Training Course is a practical, hands-on program designed for IT operations, Site Reliability Engineering (SRE), DevOps, cloud, and software engineering professionals who are responsible for ensuring the reliability, availability, and performance of modern digital services. The course introduces the core principles of Site Reliability Engineering (SRE) and demonstrates how Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets are used to balance system reliability with the pace of innovation.

Participants will learn how to define meaningful service reliability metrics, establish measurable reliability objectives, monitor service health, manage operational risks, and use error budgets to guide deployment decisions and continuous improvement. Through real-world case studies, practical workshops, and hands-on exercises, participants will gain the skills required to implement reliability engineering practices across cloud-native, distributed, and enterprise IT environments.

Duration 3 Days – 21 hrs.

 

Objectives 

  • Understand the principles and practices of Site Reliability Engineering (SRE).
  • Differentiate Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs).
  • Identify and define meaningful service reliability metrics.
  • Design and implement measurable SLOs aligned with business objectives.
  • Calculate and manage error budgets.
  • Use observability data to monitor service reliability.
  • Improve incident response using SRE best practices.
  • Balance innovation, operational stability, and business risk.
  • Develop reliability improvement plans for critical services.
  • Apply continuous improvement techniques to enhance service resilience.

 

Target Audience 

  • Site Reliability Engineers (SREs)
  • DevOps Engineers
  • Cloud Engineers
  • Infrastructure Engineers
  • Platform Engineers
  • Application Support Engineers
  • IT Operations Teams
  • Software Developers
  • Engineering Managers
  • Service Delivery Managers
  • Technical Architects

 

Prerequisites 

  • Basic understanding of IT infrastructure and networking
  • Familiarity with cloud computing concepts
  • Basic knowledge of application architecture and distributed systems
  • Experience with monitoring or IT operations is recommended
  • No prior SRE experience is required

 

Course Outline 

Day 1 – Foundations of Site Reliability Engineering 

Module 1: Introduction to Site Reliability Engineering 

  • Evolution of SRE
  • DevOps and SRE relationship
  • Reliability engineering principles
  • Operational excellence
  • Reliability culture

 Module 2: Measuring Service Reliability

  • Availability
  • Reliability
  • Performance
  • Latency
  • Throughput
  • Error rates
  • User experience metrics

 Module 3: Service Level Concepts 

  • Service Level Indicators (SLIs)
  • Service Level Objectives (SLOs)
  • Service Level Agreements (SLAs)
  • Selecting meaningful indicators
  • Aligning technical and business objectives

 Module 4: Observability and Reliability 

  • Logs
  • Metrics
  • Distributed traces
  • Dashboards
  • Monitoring architecture
  • Reliability reporting

Hands-on Lab

  • Identify service reliability indicators
  • Design basic SLIs
  • Create service dashboards
  • Evaluate service health metrics

 

Day 2 – SLO Design and Error Budget Management 

Module 1: Designing Effective SLOs 

  • Characteristics of effective SLOs
  • Selecting target values
  • Business alignment
  • Multi-service environments
  • Service dependencies

 Module 2: Error Budgets 

  • Error budget concepts
  • Calculating error budgets
  • Burn rate
  • Budget consumption
  • Reliability versus feature delivery

 Module 3: Alerting and Reliability Monitoring 

  • SLO-based alerting
  • Alert thresholds
  • Burn-rate alerts
  • Escalation policies
  • Operational dashboards

 Module 4: Reliability Governance 

  • Reliability reviews
  • Service maturity
  • Risk assessment
  • Operational policies
  • Continuous measurement

Hands-on Lab

  • Build SLOs for enterprise services
  • Calculate error budgets
  • Configure burn-rate alerts
  • Monitor service objectives

 

Day 3 – Reliability Improvement and Operational Excellence 

Module 1: Incident Management and SRE 

  • Incident lifecycle
  • Major incident management
  • Root cause analysis
  • Blameless postmortems
  • Continuous learning

Module 2: Improving Reliability 

  • Capacity planning
  • Performance optimization
  • Automation
  • Self-healing systems
  • Chaos engineering overview
  • Resilience strategies

 Module 3: Reliability Metrics and Reporting 

  • Availability reporting
  • Operational KPIs
  • Reliability scorecards
  • Executive dashboards
  • Trend analysis

 Module 4: Implementing an SRE Program 

  • Organizational adoption
  • Roles and responsibilities
  • Reliability roadmaps
  • Governance models
  • Enterprise best practices

 Module 5: Capstone Workshop 

  • Define SLIs and SLOs for a business service
  • Calculate and manage error budgets
  • Design monitoring and alerting strategies
  • Develop a reliability improvement roadmap
  • Present recommendations and lessons learned

Hands-on Lab

  • Build a complete SRE reliability framework
  • Implement SLO monitoring
  • Perform error budget analysis
  • Develop operational improvement plans
  • Final practical assessment

 

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  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
  • Apply First-In, First-Out (FIFO) and First-Expired, First-Out (FEFO) principles.
  • Compare picking strategies based on order characteristics and operational requirements.
  • Identify causes of inventory discrepancies and recommend corrective actions.
  • Develop a cycle counting approach based on inventory value, movement, and risk.
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  • Interpret warehouse productivity and inventory performance KPIs.
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        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
  • Interpreting trends while balancing speed, accuracy, and service.
      Module 10: Supervising and Auditing Warehouse Processes  
  • Process mapping and identification of critical control points.
  • Reviewing procedures against actual warehouse practices.
  • Tracing transactions from documents to systems and physical stock.
  • Reviewing approvals, access rights, and segregation of duties.
  • Identifying control gaps and recurring process exceptions.
  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
  • Standardizing transaction recording and exception handling.
  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
  • Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
  • Recommend appropriate FIFO or FEFO controls.
  • Develop a cycle counting and inventory reconciliation plan.
  • Propose controls to reduce shrinkage and improve traceability.
  • Select relevant KPIs and define their calculation and reporting requirements.
  • Produce a prioritized improvement plan with responsibilities and expected outcomes.
 

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