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DevOps

SRE vs DevOps | Know the Difference [2023]

Dr. Jagreet Kaur Gill | 14 August 2024

SRE vs DevOps

What is DevOps?

DevOps is broken down into two words which are: Development and Operations.
Here, the development refers to the Developers who are involved in coding and building the software. The Operation team is responsible for deploying this software and maintains and monitors the software after the deployment.

The problem faced by the Developers and Operations team:

Earlier, when developers created some features and wanted to roll out them as fast as they wanted, they couldn’t do it because the people responsible for deploying these features always ran into some problems. They were not able to handle these issues when deploying. Now, if not properly deployed, the company will incur billions of dollars in loss, and the people responsible for deploying these features will probably be fired. The developers always wanted to move faster, but the Operation team was fragile. The Operation team wanted the new features to be tested and rolled out into production, so they don’t get into trouble while deploying it.

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Now, this brings in a lot of clashes between the Developers and the Operation teams.
To overcome this problem, its methodology comes into the picture and solves the problem by involving the developers and operations team together using automation tools.

What is the role of DevOps?

The role is described in the following points:

Product Development

A engineer has to build, develop, and manage IT infrastructure. They need to translate technical requirements, install and configure solutions, and assist the Operations team in every phase of the product's lifecycle.

Project Planning

It determines the final goal and deploys a group with certain functionalities with specific iteration values. They set criteria that must be completed by the end of each project phase.

Maintenance and Troubleshooting

It implement specific strategies which help them reduce the effort to maintain the infrastructure and troubleshoot the issues as soon as possible. Facilitate communication between the admins and the developers to troubleshoot.

Product Deployment

It uses many automation tools, so they develop and design the automated deployment arrangements necessary for their project. Thus, this deeply helps them quickly deploy new upgrades and fixes in the production environment.

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What is Site Reliability Engineering (SRE)?

  • Site Reliability Engineering is simply an approach to IT operations. It manage systems, address problems, and automate manual operational activities.
  • It is a method in which the individual has complete insight from product development to product delivery to monitoring.
  • In SRE, a team member is responsible for resolving customer issues and automating tasks, reducing manual effort.

What is the role of the SRE team?

A site Reliability Engineer or SRE is the person who knows both sides, i.e., the development background and operations background.

Now the person can eliminate many traditional workflow problems and the Operation’s problems and can be deeply involved in the software development process because this person knows both domains. These are responsible for how the code is deployed, configured, and monitored. It focus on the reliability factor. This focus on reliability across the implementation means that the operational expenses are minimized, the failures are eased, and a backup plan is always prepared in hand if anything goes wrong because no one can predict that software will be ideally deployed. Repeated functions that waste time and resources are automated to make the work run smoothly.

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What are the SRE fundamentals?

The fundamentals of Site Reliability Engineering are listed below:

Service-Level Agreement

SLAs are like a contract upon which a software provider and the software user or client agree. SLAs include the rapid response to incidents and bugs. If an SLA is broken, a penalty such as a refund or a subscription credit to the client as vouchers or coupons may be incurred. As simple as an online payment requires communicating with multiple remote servers at the time of the transaction. But if servers stop responding or go offline whenever they feel like it, our transactions will halt.

Service-Level Objective

SLO is referred to as an agreement within an SLA about one specific metric, i.e., uptime or response time. It is a promise made to the customer. SLOs measure the service provider's performance and act as an outlined way of avoiding disputes between the two parties involved, which can lead to misunderstandings.

Service Level Indicator

SLI is nothing but some of the required parameters which indicate the information about successful transactions and requests that the service serves over specified intervals. These parameters allow us to measure the required performance and availability of the service provided. We can improve the quality by using these parameters. Examples are:

  • Availability or Uptime of the service.
  • Several successful transactions per the request were made.
  • Consistency and durability of the data.
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DevOps vs. SRE

DevOps Site Reliability Engineering
They primarily focus on the “pre-failure” situations. It ensures that the system does not go into “downtime.” They primarily focus on the “post-failure” situations. It does a postmortem of the situation for the root cause analysis. It ensures maximum Uptime of the system and fixes the system as soon as possible if it goes into “down-time.”
It focuses on fast-paced development and delivery along with its continuity. It is focused on improving the system’s reliability.
It care about rolling out features/updates with a faster release cycle, deployment, and continuous integration. They expect small incremental changes at frequent intervals, giving time to measure the changes and adapt the required corrective measures in case of a possible failure.
Site Reliability Engineering
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Conclusion

While SRE and DevOps share some foundational values, their practice of doing the work differs in various aspects. They both share similar tools and development practices. The big difference is that it strongly focus on keeping the site running without interference. Anything that does not contribute to the goal is removed from their list of priorities. Both can help the organization deliver reliability and excellent business value. It depends on the organization when choosing between the both, but both will work in sync.

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dr-jagreet-gill

Dr. Jagreet Kaur Gill

Chief Research Officer and Head of AI and Quantum

Dr. Jagreet Kaur Gill specializing in Generative AI for synthetic data, Conversational AI, and Intelligent Document Processing. With a focus on responsible AI frameworks, compliance, and data governance, she drives innovation and transparency in AI implementation

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