This article is a one stop solution for site reliability engineering for beginners. So if you want to know about SRE working and best practices as well as about site reliablity engineer, then checkout this article.
“When a team must allocate a disproportionate amount of time to resolving tickets at the cost of spending time improving the service, scalability and reliability suffer.”
Considering this problem, IT industry have found the solution by implementing SRE.
SRE plays a major role in every life cycle in a software. For example, starting from requirements to design, development, deployment, maintenance to all these stages, SRE plays a major role. That’s why we say that SRE has different flavors in different organizations. Sometimes, you may be doing SRE without even being explicitly called and SRE. It is in different organizations. As long as you bring a software engineering mindset to make sure that production systems are reliable. But what is SRE?And why is it needed? You will get the complete details like its key principles,working in this article.You will also come to know about site reliability engineer and his role.
Table of contents
- What is software reliability engineering?
- What happens when system reliability is not there?
- Who is a site reliability engineer?
- The Key Principles of SRE
- How SRE Works?
What is software reliability engineering?
SRE’s full form in software is software reliability engineering. SRE means automated alerting. They could automate response handling via playbook automation. They can have tooling around, high severity incident management, handle proper pipelining with CI/CD automation, and a lot of activities like this can be automated. We build a software engineering infrastructure around our existing infrastructure, which we call the SRE ecosystem. SREs attempt to automate the process of analyzing and evaluating the impact of changes on system reliability. Automation means no checklists or operations team discussions about whether to approve changes or threats and risks. Instead, the evaluation is based on an automated process that makes approval of changes simultaneously fast and safe.
What do you mean by software reliability?
Software reliability in software engineering means the capability of software to carry out its designated functions without malfunctioning or breaking down, even when subjected to unforeseen or unpredictable circumstances, for a prolonged period and under a range of conditions.
Ensuring software dependability necessitates meticulous design and development methods, including rigorous testing, debugging, and code evaluations. Duplication, error identification and correction, and fault tolerance can also boost software dependability.
What happens when system reliability is not there?
Imagine an online shop is down on a holiday or an online bank is not working because of traffic overload. Most of the services have a lot of unhappy customers and lots of lost revenue. This means lots of lost business because people cannot order anything in that shop, so system reliability is very important for business. We understood that systems need to be reliable but
1. What makes a system unreliable?
2. What affects its reliability?
The main cause of a system becoming unreliable is when you make changes to your system, like changing something in the platform’s infrastructure where the application is running the application itself. This may cause disruption and break something in the whole setup. One solution could be not doing any changes or limiting the number of changes to keep systems reliable, but that limits the business we want to make changes and improvements to our application to make. Because if our competitor is bringing out new features, we also need to keep up to date and operations job to take care of that and make sure the application is accessible; this means devs want to release fast, and ops want to keep stability so traditionally devs would make a change and ops would analyze with hundreds of checklists and mechanisms to make sure the change would not affect the system and this whole analysis and evaluations slows down the release process, and that’s been the major challenge of the traditional way of software development, and that’s exactly what SRE try to solve.
- SREs team aim to reduce friction between development and operations teams when releasing new or updated software into production.
- They ensure that releases do not cause malfunctions or other operational problems.
- SRE is closely aligned with DevOps principles, although not strictly required for DevOps.
- SRE can play an important role in the success of DevOps.
Who is a site reliability engineer?
An SRE engineer is a person who aims to guarantee the reliability, availability, and performance of systems. He works with developers, operations teams, and business stakeholders to establish Service Level Objectives (SLOs) that mirror user needs and business objectives.
If you are a site reliability engineer, you will apply an array of techniques and tools, including automation, monitoring, incident response, and continuous improvement. By automating tasks, monitoring systems, and responding swiftly to incidents, SREs can ensure that systems satisfy or surpass their SLOs.
Note: Site reliable engineer and reliable software engineer are the same.
SRE engineer roles and responsibilities
1. Construction and maintenance of highly dependable systems
SRE Engineers work alongside development teams to design, build, and maintain reliable but also scalable, and efficient systems.
Tasks such as deployment, testing, and monitoring. SRE Engineers do this to minimize the risk of human error and enhance productivity.
3. Monitoring performance
They observe the system’s performance and user experience to identify any possible issues before they transform into critical problems.
4. Incidence response
They quickly respond to incidents and strive to pinpoint the root cause of the problem to implement a fix as soon as possible. They also conduct post-incident reviews to identify areas for improvement.
SRE Engineers work with business stakeholders to define service level objectives (SLOs) that align with user needs and business objectives and track system performance against these objectives.
6. Continuous improvement
They use data and feedback to identify areas for improvement and work to implement changes that will enhance system reliability and performance over time.
Key Principles of SRE
- Emphasize automation: SRE teams automate repetitive tasks and processes to minimize human error and increase reliability.
- Monitor everything: SRE teams monitor system performance and user experience to identify issues before they become critical.
- Share ownership: SRE teams work closely with development teams to ensure reliability is integrated into the development process.
- Maintain service level objectives (SLOs): SRE teams define and track SLOs to ensure that systems meet the needs of users and the business.
- Practice incident response: SRE teams have well-defined processes to quickly detect, diagnose, and resolve issues.
- Use data to make decisions: SRE teams use data to make informed decisions about system design, performance, and reliability.
- Continuously improve: SRE teams continuously improve systems and processes to increase reliability, efficiency, and user satisfaction.
How SRE work?
Site Reliability Engineering (SRE) involves site reliability engineers who join the software team. The SRE team establishes key metrics for SRE and creates an error budget determined by the system’s risk tolerance. If the number of bugs is low, the development team can release new features. However, if the errors exceed the allowable error budget, the team commits new changes and fixes existing issues.
For example, site reliability engineers use the service to monitor performance metrics and detect anomalous application behaviour. If the application has a problem, the SRE team will report it to the software engineering team. Developers fix reported cases and release updated applications.
Event Handling: Whenever issues crop up, SRE teams take on the onus of expeditiously resolving them and assuaging their impact on the system’s users. They follow clearly defined event handling processes that ensure the appropriate people are involved, the right actions are taken, and the issue is resolved promptly.
Future-proofing: SRE teams collaborate with software development teams to project future capacity requirements for the system. This process involves forecasting the system’s expected traffic, necessary resources, and cost of operation.
Automation: SRE teams employ automation tools to mitigate the manual labour of managing and maintaining systems. The automation tools could include automating deployments, configuration management, and other repetitive tasks.
Continuous Enhancement: SRE teams continually explore ways to improve the dependability and effectiveness of the systems they manage. They undertake post-incident reviews to glean insights from past issues and effect changes to forestall similar issues from recurring in the future.
DevOps is a software culture that breaks down traditional boundaries between development and operations teams. DevOps frees developers and operations engineers from working in silos. Instead, you can use software tools to improve collaboration and keep up with the rapid pace of software update releases.
Now you must be thinking about the work differences between DevOps and SRE.
SRE is a practical implementation of DevOps. DevOps provides a philosophical foundation for what needs to be done to maintain software quality as development times shrink. Site Reliability Engineering provides answers on how DevOps can succeed. SRE allows DevOps teams to find the right balance between speed and stability.
If you want to understand the differences of DevOps and SRE the, check this article-SRE vs DevOps: Differences between them
Site Reliability Engineering is the practice of applying both software development skills and mindset to IT operations. Site Reliability Engineering aims to improve the reliability of highly scaled systems, which is achieved through automation and continuous integration and delivery. SRE uses software engineering techniques, including algorithms, data structures, performance, and programming languages, to deliver reliable web applications.
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