Site Reliability Engineering (SRE)

Production Execution Way

Structure SRE Team for implementation

Before we begin implementing SRE, allocate some time from all the parties involved. Gather and discuss the best approach to implementing SRE based on your business specifics.

The implementation of Site Reliability Engineering (SRE) can vary depending on the organization's structure, size, and needs. Below are the different types of SRE team implementations:

Here is the information in a table format:

SRE Team ModelDescriptionResponsibilitiesProsCons
Standalone SRE TeamA dedicated SRE team works independently from other teams.Own reliability, manage incidents, monitoring, and system improvements.Centralized expertise, clear role separation.Risk of silos, limited collaboration with development teams.
Embedded SRE TeamSREs are embedded in development teams and work closely with them.Integrate reliability into development, support developers in adopting SRE practices.Strong collaboration, reliability integrated into development lifecycle.Resource-intensive, inconsistent practices across teams.
Consulting SRE TeamSRE team acts as consultants, advising on reliability best practices.Provide guidance, tools, and training for teams to improve reliability.Promotes reliability across teams, scales well in large organizations.Limited accountability for actual reliability, reliance on other teams.
Shared SRE TeamA single SRE team supports multiple product teams by providing shared services and expertise.Build and maintain tools for monitoring, alerting, deployment, and reliability standards across teams.Economical use of resources, standardized practices.Teams compete for SRE resources, limited team-specific knowledge.
Functional/Platform SREFocused on the reliability of shared platforms or infrastructure.Manage core infrastructure, CI/CD pipelines, and shared platforms.High reliability of core systems, product teams focus on features.Limited involvement in product-specific reliability issues.
Hybrid ModelCombines multiple SRE models, adapting to diverse organizational needs.Balance collaboration and standardization, embed SREs in critical teams while maintaining centralized teams.Highly adaptable and scalable.Complex to implement and manage.

SRE Role & Responsibility

An SRE bridges the gap between development and operations, focusing on 3 main areas

1. System Stability

2. Efficiency Improvement

3. Operation Management

DALL·E 2025-01-16 21.47.52 - A professional mind map illustrating the three core responsibilities of Site Reliability Engineering (SRE)_ System Stability, Efficiency Improvement,

System ReliabilityEnsures systems remain available, stable, and performing well through monitoring, automation, and incident response.


Infrastructure & Development : Builds and maintains scalable infrastructure, creates automation tools, and implements CI/CD pipelines while contributing to codebase improvements.


Operations & PerformanceManages daily operations, optimizes system performance, and implements monitoring and security measures while handling incidents and capacity planning.

Screenshot 2025-01-17 at 2.28.29

Life Cycle Involvement of SRE Team

SRE Team can take to analyse and improve the reliability of a service is one of the strategy are early engagement. 

Screenshot 2025-01-13 at 13.43.53
Screenshot 2025-01-13 at 13.41.52
Life CycleSRE Activities
Feasibility and Requirements Phase• Determine functional requirements
• Define and classify failures
• Identify customer reliability needs
• Set reliability objectives
Design and Implementation Phase• Allocate reliability among components
• Engineer to meet reliability objectives
• Measure reliability of acquired software
System Test• Conduct Reliability Test
• Fault Tolerance Test
• Chaos Engineering
Post Delivery & Maintenance• Project post-release activities
• Monitor reliability vs objectives
• Track using the reliability
• Improvement with reliability measures

It ensures reliability is embedded at every stage of the lifecycle, addressing potential system issues proactively and aligning with customer expectations.

Each phase builds upon the previous one, creating a robust and dependable system.

Each phase will showing how Site Reliability Engineering (SRE) shifts left in the Software Development Life Cycle (SDLC)

Hierarchy of Reliability

SREs run services—a set of related systems, operated for users, who may be internal or external—and are ultimately responsible for the health of services.

We can characterize the health of a service in the same way that Abraham Maslow categorized human needs from the most basic requirements needed for a system to function as a service at all to the higher levels of function

This section addresses the theory and practice of an SRE’s day-to-day activity: building and operating large distributed computing systems.

This pyramid diagram represents a structured approach to ensuring system reliability.

It builds from foundational practices at the bottom to higher-level goals at the top, emphasizing the importance of strong fundamentals before addressing complex issues.

Here's a detailed breakdown:

Screenshot 2025-01-13 at 2.36.44

1. Monitoring (Base Level)

  1. Practices: Practical alerting from time-series data.
  2. Purpose: Ensures systems are monitored effectively for anomalies, providing visibility to detect and respond to issues.

🔧 2. Incident Response

  1. Practices:
    1. Being on-call.
    2. Effective troubleshooting.
    3. Emergency response.
    4. Managing incidents.
  2. Purpose: Focuses on real-time resolution of issues to maintain uptime and system stability.

📋 3. Postmortem / Root Cause Analysis

  1. Practices:
    1. Postmortem culture: Learning from failure.
    2. Tracking outages.
  2. Purpose: Identifies and learns from root causes of incidents, ensuring continuous improvement.

🧪 4. Testing

  1. Practices: Testing for reliability.
  2. Purpose: Ensures systems are rigorously tested under real-world conditions to identify potential failure points.

⚖️ 5. Capacity Planning

  1. Practices:
    1. Load balancing (frontend and datacenter).
    2. Handling overload.
    3. Addressing cascading failures.
  2. Purpose: Prepares systems to handle workloads effectively, mitigating overload and cascading failures.

🛠️ 6. Development

  1. Practices:
    1. Managing critical state (distributed consensus).
    2. Data integrity.
    3. Distributed periodic scheduling.
    4. Data processing pipelines.
  2. Purpose: Focuses on designing robust systems during development, ensuring reliability and integrity.

🚀 7. Product (Top Level)

  1. Practices: Reliable product launches at scale.
  2. Purpose: Delivers reliable products to users, leveraging all foundational practices for smooth launches and sustained reliability.

Principles of SRE

SRE is define the principles which responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of service.

Screenshot 2025-01-12 at 15.18.43
  • Toil Reduction: Minimize repetitive, manual tasks by automating and optimizing processes.
  • Automation: Prioritize automating tasks to improve efficiency, reliability, and scalability.
  • Monitoring and Alerting: Implement systems to detect, alert, and respond to issues in real-time.
  • Service Level Objectives (SLOs): Define measurable reliability targets to balance performance and innovation.
  • Embrace Risk: Accept and manage risk using error budgets to balance reliability and development.
  • Gradual Change: Implement small, incremental changes to reduce risk and improve system stability.
  • Problem Solving: Focus on root cause analysis and systemic improvements to prevent recurring issues.
  • Share Knowledge: Foster collaboration and learning by documenting and sharing insights across teams

Reliability Engineering

  • Reliability Engineering is everything you do today to prevent product failure tomorrow.
  • Reliability engineering is fundamentally about the probability that a product, system, or service consistently perform their intended functions over time.
  • Functionally, reliability engineering is responsible for the development of reliability requirements for the system and design of the system or product to meet the reliability requirements.
  • So the term Reliability & Reliability Engineering is the ability of a system, product, or service to perform its intended function under specific conditions for a set period of time. 
  • Reliability is a key focus of Site Reliability Engineering (SRE), a software engineering practice that aims to create reliable, scalable software systems.



As the Reliability engineers perform a variety of tasks, including: 

  1. Analyzing data
  2. Conducting tests
  3. Collaborating with cross-function teams
  4. Identifying weaknesses or areas of improvement
  5. Making decisions based on data
  6. Examining production losses
  7. Inspecting assets that are incurring high maintenance costs
  8. Working with management and operations to find the root cause of losses
  9. Establishing or improving a predictive and preventive maintenance plan
  10. Managing health, safety, and environmental risks

SRE vs DevOps

SRE and DevOps are complementary approaches to software delivery and operations, with SRE often being considered a specific implementation of DevOps principles.

Screenshot 2025-01-11 at 2.52.02

DevOps

A more prescriptive approach developed by Google that uses software engineering principles to solve operations problems

SRE supports resiliency, redundancy and reliability in the DevOps cycle and deals with the day-to-day implementation of software programs

Shared responsibility, but more focused on operations and reliability.

Key principles include Service level objectives (SLOs), error budgets, automation, and incident management.

Focus Area : Reliability, scalability, operations, and automation.

SRE

A cultural and philosophical approach that emphasizes collaboration between development and operations teams

Focuses on breaking down silos between teams and automating the software delivery process

Shared responsibility between development and operations

Key principles include continuous integration/deployment, infrastructure as code

Focus Area :  Development, IT operations, continuous integration, continuous delivery.

Common ground of SRE & DevOps:

  • Both aim to improve system reliability and efficiency
  • Both emphasize automation and reducing manual operations
  • Both focus on measuring and improving system performance
  • Both promote a culture of continuous improvement

What is SRE ?

SRE (Site Reliability Engineering) is the Systematic approach/Framework to Service Management with an engineering mindset that uses software to manage systems, solve problems, and automate tasks.

"Site reliability engineers create a bridge between development and operations by applying a software engineering mindset to system administration topics"

Let us learn a lot in the form of Site Reliability Engineering definition.

S -> Site : Service / Website

R -> Reliability: It is defined as the probability of failure-free software operation for a specified period in a specified environment

E -> Engineering: It is engineering approach, The action of working skilfully to bring something about reliability

Site reliability engineering (SRE) was born at Google in 2003.

“SRE is what happens when you ask a software engineer to design an operations team.” - Ben Traynor, VP of engineering at Google and founder of Google SRE

Site Reliability Engineers create a bridge between development and operations by applying a software engineering mindset to system administration topics.