SRE Engineer
At sitereliabilityengineer.dev, our mission is to provide comprehensive and up-to-date information about site reliability engineering (SRE) to help individuals and organizations improve the reliability and performance of their websites and applications. We aim to be a trusted resource for SRE professionals, aspiring SREs, and anyone interested in learning more about this critical field. Through our articles, tutorials, and community resources, we strive to promote best practices, share insights and experiences, and foster a culture of continuous improvement in site reliability engineering.
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Site Reliability Engineering (SRE) Cheatsheet
Welcome to the Site Reliability Engineering (SRE) cheatsheet! This reference sheet is designed to help you get started with SRE and provide you with a quick reference guide for the concepts, topics, and categories related to SRE.
What is Site Reliability Engineering (SRE)?
Site Reliability Engineering (SRE) is a discipline that combines software engineering and operations to build and run large-scale, distributed, and reliable software systems. SRE is a set of practices that help organizations improve the reliability, availability, and performance of their systems.
Key Concepts
Service Level Objectives (SLOs)
Service Level Objectives (SLOs) are a key concept in SRE. SLOs are a way to define the level of service that a system should provide to its users. SLOs are typically defined in terms of availability, latency, and throughput.
Error Budgets
Error Budgets are another key concept in SRE. Error Budgets are a way to measure the reliability of a system. An Error Budget is the amount of time that a system can be down or degraded without violating its SLOs.
Incident Management
Incident Management is the process of detecting, responding to, and resolving incidents in a system. Incident Management is a critical part of SRE, as it helps organizations minimize the impact of incidents on their systems and users.
Monitoring and Alerting
Monitoring and Alerting are essential components of SRE. Monitoring is the process of collecting data about a system's performance and behavior. Alerting is the process of notifying the appropriate people when a system is behaving abnormally.
Capacity Planning
Capacity Planning is the process of determining the resources that a system needs to meet its SLOs. Capacity Planning is critical to ensuring that a system can handle its expected load and traffic.
Change Management
Change Management is the process of making changes to a system in a controlled and predictable manner. Change Management is essential to ensuring that changes do not negatively impact a system's reliability, availability, or performance.
Key Topics
Reliability
Reliability is the ability of a system to perform its intended function without failure. Reliability is a critical aspect of SRE, as it is the primary goal of the discipline.
Availability
Availability is the ability of a system to be operational and accessible to its users. Availability is a key component of SLOs and is critical to ensuring that a system meets its users' needs.
Latency
Latency is the time it takes for a system to respond to a user's request. Latency is a critical component of SLOs, as it directly impacts a system's performance and user experience.
Scalability
Scalability is the ability of a system to handle increasing amounts of traffic and load. Scalability is critical to ensuring that a system can meet its users' needs as it grows.
Performance
Performance is the ability of a system to perform its intended function efficiently. Performance is a critical aspect of SRE, as it directly impacts a system's reliability and user experience.
Security
Security is the protection of a system from unauthorized access, use, disclosure, disruption, modification, or destruction. Security is a critical aspect of SRE, as it helps ensure that a system is reliable and available to its users.
Key Categories
Incident Response
Incident Response is the process of detecting, responding to, and resolving incidents in a system. Incident Response is a critical part of SRE, as it helps organizations minimize the impact of incidents on their systems and users.
Monitoring and Alerting
Monitoring and Alerting are essential components of SRE. Monitoring is the process of collecting data about a system's performance and behavior. Alerting is the process of notifying the appropriate people when a system is behaving abnormally.
Capacity Planning
Capacity Planning is the process of determining the resources that a system needs to meet its SLOs. Capacity Planning is critical to ensuring that a system can handle its expected load and traffic.
Change Management
Change Management is the process of making changes to a system in a controlled and predictable manner. Change Management is essential to ensuring that changes do not negatively impact a system's reliability, availability, or performance.
Disaster Recovery
Disaster Recovery is the process of recovering a system from a catastrophic event, such as a natural disaster or cyberattack. Disaster Recovery is a critical aspect of SRE, as it helps organizations minimize the impact of such events on their systems and users.
Automation
Automation is the use of technology to perform tasks without human intervention. Automation is a critical component of SRE, as it helps organizations improve the reliability and efficiency of their systems.
Conclusion
This cheatsheet provides a quick reference guide for the concepts, topics, and categories related to Site Reliability Engineering (SRE). SRE is a critical discipline that helps organizations improve the reliability, availability, and performance of their systems. By understanding the key concepts, topics, and categories of SRE, you can better prepare yourself to build and run large-scale, distributed, and reliable software systems.
Common Terms, Definitions and Jargon
1. Availability: The measure of how often a system is operational and accessible to users.2. Black box testing: A testing method that examines the functionality of a system without knowledge of its internal workings.
3. Blue/green deployment: A deployment strategy that involves switching between two identical environments to minimize downtime during updates.
4. Capacity planning: The process of determining the resources required to meet future demand for a system.
5. Chaos engineering: A methodology for testing and improving system resilience by intentionally introducing failures.
6. Circuit breaker: A design pattern that prevents cascading failures by automatically stopping requests to a failing service.
7. Configuration management: The process of managing and tracking changes to a system's configuration settings.
8. Containerization: A method of packaging and deploying applications in lightweight, isolated environments called containers.
9. Continuous delivery: A software development practice that emphasizes frequent, automated releases to production.
10. Continuous integration: A software development practice that involves merging code changes into a shared repository frequently to detect and resolve conflicts early.
11. Disaster recovery: The process of restoring a system to a functional state after a catastrophic event.
12. Elasticity: The ability of a system to dynamically adjust its resource usage to meet changing demand.
13. Fault tolerance: The ability of a system to continue operating in the event of a failure.
14. High availability: A system design that ensures minimal downtime and maximum uptime.
15. Incident management: The process of responding to and resolving incidents that impact system availability or performance.
16. Infrastructure as code: A practice of managing infrastructure using code and automation tools.
17. Key performance indicators (KPIs): Metrics used to measure the performance of a system or process.
18. Latency: The time delay between a request and its response.
19. Load balancing: The process of distributing incoming traffic across multiple servers to improve performance and availability.
20. Mean time between failures (MTBF): The average time between system failures.
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