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When it comes to managing and enhancing software development and operations, companies often adopt sets of practices and processes such as Development Operations (DevOps) or Site Reliability Engineering (SRE). These approaches increase their ability to deliver applications scalably and maintain a fast pace.
In fact, companies and individuals seeking to deliver applications and services at a higher velocity are increasingly moving away from traditional software development and infrastructure management. They achieve this by either combining selected DevOps and SRE practices or opting for one over the other.
In fact, companies and individuals seeking to deliver applications and services at a higher velocity are increasingly moving away from traditional software development and infrastructure management. They achieve this by either combining selected [DevOps](https://roadmap.sh/devops) and SRE practices or opting for one over the other.
Despite their shared goal of improving the software delivery process, some nuances set DevOps and SRE apart.
This article provides an in-depth discussion of the key differences between each approach, what they entail, similarities, and the tools and technologies involved. Finally, it offers roadmaps for your DevOps or SRE journey.
This guide provides an in-depth discussion of the key differences between each approach, what they entail, similarities, and the tools and technologies involved.Finally, it offers roadmaps for your DevOps or SRE journey.
## Differences between DevOps and SRE
The main difference between [DevOps](https://roadmap.sh/devops) and SRE lies in their primary **goals**. DevOps aims to improve the software development lifecycle (SDLC), while SRE **focuses** on maintaining stability and resilience after application deployment. In addition, they also differ in **scope**, **metrics**, and **team structure**.
The primary difference between DevOps and SRE lies in their primary **goals**. DevOps aims to improve the software development lifecycle (SDLC), while SRE **focuses** on maintaining stability and resilience after application deployment. In addition, they also differ in **scope**, **metrics**, and **team structure**.
Let’s look at these points in detail:
1. **Goals:** DevOps' primary goal is to improve the (SDLC) through process automation, enhance collaboration, and promote continuous improvement. SRE aims to create easily maintained systems by automating repetitive and manual tasks, implementing monitoring and alerting systems, and designing for scale and resilience.
![DevOps vs SRE](https://assets.roadmap.sh/guest/the-difference-between-devops-and-sre-85kpt.JPG)
2. **Roles and ownership:** In DevOps, developers, and other related stakeholders are often involved in operational tasks, sharing ownership of the entire software delivery process from development through to production. In contrast, the SRE model promotes a clear separation between development and operations. The development team is focused on building and maintaining features, while the SRE team is responsible for the reliability and availability of services.
### Goals
3. **Scope and mindset:** DevOps is typically applied to self-contained applications or services, encouraging experimentation and innovation with opportunities to learn from failures. In contrast, SRE is applied to entire systems and platforms, primarily focusing on minimizing human errors and downtime.
DevOps engineers' primary focus is to improve the (SDLC) through process automation, enhance collaboration, and promote continuous improvement. Site Reliability Engineers aims to create easily maintained systems by automating processes, manual and repetitive tasks, implementing monitoring and alerting systems, and designing for scale and resilience.
4. **Metrics:** In measuring success, DevOps tracks metrics such as the time from code commit to deployment, deployment frequency, failure rate, and overall system performance. On the other hand, SRE focuses on metrics related to service level objectives like Mean Time to Recover (MTTR), Mean Time Between Failures (MTBF), latency, traffic, and the frequency of errors occurring in the system.
### Roles and ownership
5. **Team structure and processes:** DevOps teams work more like an Agile development team, collaborating with members across development and operations. They often break projects into smaller features and use [continuous integration(CI) and continuous delivery (CD)](https://roadmap.sh/guides/ci-cd) to prioritize delivery based on business needs.
In DevOps culture, developers, and other related stakeholders are often involved in operational tasks, sharing ownership of the entire software delivery process from development through to production.
In contrast, SRE teams are highly specialized teams as compared to DevOps. They see the production environment as a highly available service and implement measures to address threats and failures that may arise from deployed features and integrations.
In contrast, the SRE model promotes a clear separation between development and operations. The development team is focused on building and maintaining features, while the SRE team is responsible for the reliability and availability of services.
Both DevOps and SRE aim to enhance software development and operations. DevOps primarily focuses on software development and delivery, while SRE concentrates on software operations and maintenance after deployment, emphasizing reliability and scalability strongly.
### Scope and mindset
DevOps is typically applied to self-contained applications or services, encouraging experimentation and innovation with opportunities to learn from failures. In contrast, SRE is applied to entire systems and platforms, primarily focusing on minimizing human error and downtime for the operations teams.
### Metrics
In measuring success, DevOps teams track metrics such as the time from code commit to deployment, deployment frequency, failure rate, and overall system performance. On the other hand, Site Reliability Engineers focus on metrics related to service level objectives like Mean Time to Recover (MTTR), Mean Time Between Failures (MTBF), latency, traffic, and the frequency of errors occurring in the system.
### Team structure and processes
DevOps teams work more like an Agile development team, ensuring collaboration between development and operations teams. They often break projects into smaller features and use [continuous integration(CI) / continuous delivery (CD)](https://roadmap.sh/guides/ci-cd) to prioritize delivery based on business needs.
In contrast, SRE teams are highly specialized teams as compared to DevOps. They see the production environment as a highly available service and implement measures to address threats and failures that may arise from deployed features and integrations.
Both DevOps and SRE aim to enhance the software development process and operations. DevOps primarily focuses on software development and delivery, while SRE concentrates on software operations and maintenance after deployment, emphasizing reliability and scalability strongly.
## Key components of DevOps
According to [Statista](https://www.statista.com/statistics/1234098/software-development-process-changes/), DevOps adoption is expected to grow, with **21% of respondents having integrated it into their source code management**. Recruiters are also actively hiring for DevOps roles, [**with demand currently at 35.5%**](https://www.statista.com/statistics/1296668/top-in-demand-tech-skills-worldwide/)**.**
According to [Statista](https://www.statista.com/statistics/1234098/software-development-process-changes/), DevOps adoption is expected to grow, with **21% of respondents having integrated it into their source code management**. Recruiters are also actively hiring for DevOps job roles, [**with demand currently at 35.5%**](https://www.statista.com/statistics/1296668/top-in-demand-tech-skills-worldwide/)**.**
One core principle of DevOps is automating manual processes within the SDLC, focusing on reducing costs and minimizing errors. In addition, DevOps embraces continuous integration, enabling companies to adapt and accommodate changes to end-users' needs or business expansions.
One core principle of DevOps is automating manual processes within the SDLC, focusing on reducing costs and minimizing errors. In addition, DevOps embraces continuous integration, enabling companies to adapt and accommodate changes to end-users' needs or business requirements.
The following are key aspects of DevOps:
@ -61,43 +75,53 @@ The following are key aspects of DevOps:
One of the fundamental principles of DevOps is to facilitate faster release cycles for software. This is achieved by continuously integrating code into a repository and automatically deploying it to the required environment.
![ci/cd](https://assets.roadmap.sh/guest/cicd-xrwy2.JPG)
### Automation
Development processes such as testing, deployment, and infrastructural provisioning can be tedious, error-prone, and manual. DevOps addresses these challenges through automation.
![automation](https://assets.roadmap.sh/guest/automation-mdtdr.jpeg)
### Monitoring
Monitoring application performance, health, availability, and customer experience are some of the key principles of DevOps. With this capability, companies can identify issues quickly, iterate on solutions, and continuously improve.
Proactive monitoring of application performance, health, availability, and customer experience are some of the key principles of DevOps. With this capability, companies can identify issues quickly, iterate on solutions, and continuously improve.
![metric](https://assets.roadmap.sh/guest/monitoring-uyfmx.jpeg)
### Collaboration and communication
The overall goal of shipping secure and reliable software involves stakeholders like the developments, operations, and other relevant teams to adhere to DevOps practices of collaborating and actively communicating throughout the SDLC.
The overall goal of shipping secure and reliable software involves stakeholders like the development teams, operations teams, and other relevant teams to adhere to DevOps practices of collaborating and actively communicating throughout the SDLC.
![collaboration & communication](https://assets.roadmap.sh/guest/collaboration-t3wa1.jpeg)
### Infrastructure as Code
Using scripts or declarative definitions to provision and configure infrastructure is a key component in DevOps. This approach enables teams to be consistent, efficiently manage resources, and reproduce environment-specific bugs.
![iac](https://assets.roadmap.sh/guest/infrastructure-as-code-gj75w.jpeg)
### Continuous learning and improvement
In DevOps, teams are encouraged to share knowledge across teams, conduct service failure postmortem, and experiment with new ideas and potential solutions.
## Key components of SRE
SRE can function as a tool, a set of best practices, or a strategy to automate IT operations tasks such as production system management, change management, and incident response. It empowers system administrators to manage large systems using code rather than manual methods.
Site Reliability Engineering can function as a tool, a set of best practices, or a strategy to automate IT operations tasks such as production system management, change management, and incident response. It empowers system administrators to manage large systems using code rather than manual methods.
The following are the key aspects of SRE:
### Automation
One key principle followed by SRE is establishing a workflow to reduce manual and repetitive work related to operational tasks.
One key principle followed by Site Reliability Engineering is establishing a workflow to reduce manual and repetitive work related to operational tasks. SRE ensures that every team member has access to updated automation tools and technologies.
### Monitoring and alerting
A core principle of SRE is using real-time monitored metrics and alerts to detect and respond to issues promptly. With these systems in place, SRE teams can diagnose and resolve potential issues before they impact the system.
A core principle of SRE is using real-time monitored metrics and alerts to detect and respond to issues promptly before they impact the development teams and end users. With these systems in place, SRE teams can diagnose and resolve potential issues before they impact the system.
### Forecast and planning
Due to user traffic and workload, systems can experience increased demand and heavy resource usage. SRE implements measures to ensure that such demand is properly handled by forecasting resources and managing related infrastructure.
Due to user traffic and workload, systems can experience increased demand and heavy resource usage. Site Reliability Engineering implements measures to ensure that such demand is properly handled by forecasting resources and managing related infrastructure.
### Incident management
@ -105,64 +129,67 @@ SRE teams define clear processes for detecting, diagnosing, and resolving incide
### Service Level Objectives (SLOs)
SRE aims to deliver higher availability percentages, uptime, and other metrics such as error rates and response time to system customers or users.
Site Reliability Engineering aims to deliver higher availability percentages, uptime, and other metrics such as error rates and response time to system customers or users.
These processes help software developers build and deliver software more efficiently.
## Similarities between DevOps and SRE
![Similarities](https://assets.roadmap.sh/guest/similarities-devops-sre-eqa7p.jpeg)
DevOps and SRE principles have become popular and widely adopted by organizations because they create robust and bug-free systems with continuous improvement in mind. Below are some key similarities between DevOps and SRE:
- Both advocate automating repetitive tasks like testing, deployment, monitoring, etc.
- They promote the use of CI and CD for software releases
- There is a strong emphasis on real-time monitoring and collection of metrics for diagnosis and performance monitoring
- Both focus on collaboration and encourage a culture of continuous learning and improvement
- They prioritize building systems with a great user experience, quick recovery from disruptions, and reliability.
- Both advocate automating repetitive tasks like continuous testing, deployment, monitoring, etc.
- They promote the use of CI and CD for software releases.
- There is a strong emphasis on real-time monitoring and collection of metrics for diagnosis and performance monitoring.
- Both focus on reducing organizational silos through collaboration and encourage a culture of continuous learning and improvement.
- They prioritize building reliable systems with a great user experience, quick recovery from disruptions, reliability, and effective operations lifecycle management.
## What is the role of a DevOps engineer?
[DevOps engineers](https://roadmap.sh/devops) are integral to any organization looking to bridge the gap between development and operations. They collaborate closely with developers, quality assurance teams, and other stakeholders to achieve this goal. Here are some key responsibilities of a DevOps engineer:
[DevOps engineers](https://roadmap.sh/devops) are integral to any organization looking to bridge the gap between development and operations teams. They collaborate closely with software engineers, quality assurance teams, and other stakeholders to achieve this goal. Here are some key responsibilities of a DevOps engineer:
- Adopts the agile methodology and automation to remove bottlenecks in the SDLC
- Set up monitoring and logging mechanisms to track the performance, availability, and health of systems
- Provision resources, deploy, and manage applications on cloud platforms like [AWS](https://roadmap.sh/aws), Azure, Google Cloud, etc
- Creates standards and manages configuration to enforce and maintain system integrity across multiple environments
- Creates a plan to optimize system performance and resource utilization
- Promotes knowledge sharing by carefully documenting processes, procedures, and best practices
- Adopts the agile methodology and automation to remove bottlenecks in the SDLC.
- Set up monitoring and logging mechanisms to track the performance, availability, and health of systems.
- Provision resources, deploy, and manage applications on cloud platforms like [AWS](https://roadmap.sh/aws), Azure, Google Cloud, etc.
- Creates standards and manages configuration to enforce and maintain system integrity across multiple environments.
- Creates a plan to optimize system performance and resource utilization.
- Promotes knowledge sharing by carefully documenting processes, procedures, and best practices.
To perform these responsibilities, the DevOps team uses many tools to automate and improve their workflow. Here are some of the tools commonly used:
To perform these responsibilities, the DevOps team uses many tools to automate and improve their workflow. Here are some of the DevOps tools commonly used:
- **Docker:** [Docker](https://roadmap.sh/docker) is an open-source platform that enables developers to build, deploy, and run containerized applications.
- **Kubernetes:** [Kubernetes](https://roadmap.sh/kubernetes) is an open-source orchestration platform for automating the deployment, scaling, and managing containerized applications
- **Jenkins:** Jenkins is an automation server used for performing CI and CD in a software project
- **Git:** Git is a distributed version control system for tracking changes in source code during development
- **Prometheus:** Prometheus is an open-source application for event monitoring and alerting.
- **Grafana:** Grafana is an open-source analytics and visualization application
- **Ansible:** Ansible is an open-source engine for automating resource provision, configuration management, application deployment, and other IT-related tasks
- **Docker**: [Docker](https://roadmap.sh/docker) is an open-source platform that enables developers to build, deploy, and run containerized applications.
- **Kubernetes**: [Kubernetes](https://roadmap.sh/kubernetes) is an open-source orchestration platform for automating the deployment processes, scaling, and managing containerized applications.
- **Jenkins**: Jenkins is an automation server used for performing CI and CD in a software project.
- **Git**: Git is a distributed version control system for tracking changes in source code during software development.
- **Prometheus**: Prometheus is an open-source application for event monitoring and alerting.
- **Grafana**: Grafana is an open-source analytics and visualization application that helps identify issues and improve the performance of software systems.
- **Ansible**: Ansible is an open-source engine for automating resource provision, configuration management, application deployment, and other IT-related tasks.
## What is the role of an SRE engineer?
Similar to the DevOps team, SRE engineers are also an integral part of any organization looking to build systems and services that are reliable, available, scalable, and performant. Here are some key responsibilities of an SRE engineer:
Similar to the DevOps engineers, SRE engineers are also an integral part of any organization looking to build systems and services that are reliable, available, scalable, and performant. SREs have a narrow focus on specific practices and metrics that allow for improved collaboration and service delivery. Here are some key responsibilities of an SRE engineer:
- Responsible for maintaining and ensuring system reliability and uptime
- Collaborate with the development team to design and architect applications
- Automate tasks by developing tools and scripts for deployment, alerting, and incident response
- Analyze and plan resources to cater for future growth and scale
- Creates plans to mitigate or eliminate events or system failures
- Promotes knowledge sharing by documenting system configuration, procedures, and best practices
- Responsible for maintaining and ensuring system reliability and uptime.
- Collaborate with the development team to design and architect applications.
- Automate tasks by developing tools and scripts for deployment, alerting, and incident response.
- Analyze and plan resources to cater for future growth and scale.
- Creates plans to mitigate or eliminate events or system failures.
- Promotes knowledge sharing by documenting system configuration, procedures, and best practices.
To perform these responsibilities, the SRE team uses various tools to tackle infrastructure and operational problems. Here are some of the tools commonly used:
- **Kibana:** Kibana is an open-source data visualization platform for monitoring metrics and events
- **Datadog:** Datadog is a cloud monitoring tool for events, infrastructure hosts, and much more
- **NetApp Cloud Insights:** NetApp Cloud Insights is a tool used to monitor IT infrastructure
- **Terraform:** Terraform is an infrastructure as code tool used to automate infrastructure tasks
- **Ansible:** Ansible is an open-source engine for automating resource provision, configuration management, application deployment, and other IT-related tasks
- **New Relic:** New Relic is a cloud-based full-stack observability platform for monitoring and analyzing metrics
- **Opsgenie:** Opsgenie is an incident response solution with functionalities like on-call scheduling, reporting, analytics, and alerting
- **Kibana**: Kibana is an open-source data visualization platform for monitoring metrics and events
- **Datadog**: Datadog is a cloud monitoring tool for events, infrastructure hosts, and much more
- **NetApp Cloud Insights**: NetApp Cloud Insights is a tool used to monitor IT infrastructure
- **Terraform**: Terraform is an infrastructure as code tool used to automate infrastructure tasks
- **Ansible**: Ansible is an open-source engine for automating resource provision, configuration management, application deployment, and other IT-related tasks
- **New Relic**: New Relic is a cloud-based full-stack observability platform for monitoring and analyzing metrics
- **Opsgenie**: Opsgenie is an incident response solution with functionalities like on-call scheduling, reporting, analytics, and alerting
In summary, DevOps focuses on developing and delivering software, and SRE works on the deployed software to ensure it functions as intended and is reliable. They both have similarities and differences that organizations actively adopt when building and maintaining scalable applications.
In summary, [DevOps](https://roadmap.sh/devops) focuses on developing and delivering software, and SRE works on the deployed software to ensure it functions as intended and is reliable. They both have similarities and differences that organizations actively adopt when building and maintaining scalable applications.
Whether you're an experienced developer aiming to improve your skills or a beginner exploring a career as a DevOps or SRE engineer, you might have seen tons of resources available online and maybe get overwhelmed without a clear path on the way to go. Well, not anymore, roadmap.sh provides a comprehensive guide on any of the career paths you choose to follow. You will be able to:
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- Stay updated with a new roadmap, track your progress, and share it on your roadmap.sh profile.
- Learn with like-minded individuals by joining a supportive community when you [sign up](https://roadmap.sh/signup) on roadmap.sh platform.
- [Generate a new roadmap with AI](https://roadmap.sh/ai).

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