In this era, the Site Reliability Engineering (S-R-E) concept developed rapidly in the field of IT services, cloud computing and DevOps. This may be the first time you’ve heard of SRE, so we thought it would be good to write down ideas and concepts. However, SRE 101 is an approach to software engineering application of information technology. The SRE takes on tasks that operating teams never do, often manually, and instead forwards them to engineers or operational teams that use software and automation to troubleshoot and manage production systems. Standardization and automation are two important elements of the SRE 101 model. Though, it should always look for ways to improve and automate its business. SRE supports teams moving from a traditional IT approach to cloud access.

What Does A Site Reliability Engineer Do?

A site – reliability – engineer has a unique role that requires either training for a software developer with additional business experience or DevOps training or the role of a system and information technology administrator who also has skills in business development. All the same, Service – Level – Indicator (S-L-I) is a defined dimension of specific aspects of the service level. Key SLIs include application potential, availability, error rate, and system performance. Service – Level – Objective (S-L-O) is based on a goal or range for a particular level of service based on SLI.

The SLO system is assigned an agreed focal point for reliability. This downtime is called error calculation, which is the maximum allowable threshold for errors and breakdowns. However, 100% reliability is not expected for SRE; an error is planned and confirmed. In addition to the SLO and error budget, the development team can use an existing error – plan to determine if a product or service can be launched.

If the service is running within the error budget, the development team can run it at any time, but if there are too many errors at this time or it is closed longer than budget errors, so it allows restarting only in case of budget errors. They divide their time between projects and project work. According to Google’s best practice, a reliable engineer can only spend 50.4% of their time at work, which should be monitored so as not to overdo it.

You can actively direct too much work and service to the development team, instead of spending too much time on applications or services. When they repeatedly struggle with problems, they automate the solution. It also helps to get half the workload of the operation. Maintaining a balance between business and development is a key factor in SRE.

DevOps vs. SRE

DevOps is a platform for growth, automation, and platform design to achieve greater business value and responsiveness with fast and quality service. SRE can be considered a DevOps application. Faster application development processes, the better quality of service and reliability, and shorter information time for advanced applications are advantages that can be achieved with DevOps and SRE practices.

SRE differs in that it relies on the reliability of development team engineers who also have work experience in solving communication and workflow problems. The role of a site reliability engineer combines a development team and operational skills with overlapping responsibilities.

In terms of new code and functionality, DevOps focuses on making an effective contribution to the development pipeline, while SRE focuses on balancing the site and creating new functionality. Software designers are playing an increasingly important role in application distribution, manufacturing operations, and oversight. 

Key Features of SRE 101

If we break down the definition of SRE, we can identify some of the key features of SRE that help us understand its key elements. Unlike the cultural structure of DevOps, SRE functions are practical measures that teams can take to remove all barriers between software engineering and environmental management.

Engineering Operations Team

SRE places great emphasis on the application of engineering methodologies, such as problem design and solutions. One example is Google’s description of SRE as “Sys-admin’s approach to service management.” The emphasis on flawless engineering solutions, along with constant feedback to other team members, means the culture of collaboration described by DevOps. Google’s smooth analysis culture, which allows you to correct failures by using engineering rather than avoidance, is a good example of the “Engineer-to-Ops” principle.

Reliability from Start to Finish

As traditional service companies still focus on customer service providers, site authentication focuses on another key measure: reliability. Reliability (“R” in S-R-E) is defined by service level indicators (which are measurable service reliability indicators) and subsequent service level objectives (which set S-L-I reliability targets). With a strong emphasis on reliability, SRE wants to achieve the right balance between agility (on the developer side) and stability (on the operational side). Most importantly, reliability is the measure of customers, and in a continuous economy, reliability is almost the only thing that worries customers.

IT Asset Tracking

The only way to ensure ultimate reliability is to constantly monitor your organization. And to control the services, you must first check the basic IT assets. The third main focus is on the continuous identification and use of IT resources. Also, monitoring measures, such as emergency response and growth, need to be developed.

Manage All Changes

Organizations already working to build website reliability have found that about 70.5% of violations are due to changes in the living system. This is not surprising for most people who have worked in the organization. Therefore, anything that can cause changes in the system must be controlled. Whether predicting more precise demand, better capacity planning, or a more predictable balance, SRE focuses on all the factors that can disrupt the IT environment. The four key points above provide an introductory overview to help you understand the main goals.

SRE Improves Automation

The role of the SRE is to determine the next steps after analyzing the case data, but as the complexity and scope of the system increases, this task becomes much more complex. As a contribution to these efforts, AI-Ops tools are increasingly used to process large amounts of data; automate responses to alerts and resolve cases where algorithms are mature.

This means they will probably have to sit down with the developers of the team that created the program that launched the message, which of course extends the processing time of the course. For example, setting attribute warning limits is an easy way to automate responses. However, more sophisticated methods must be used to expect more complex solutions and resources.