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Pa
Leveraging D ev O p s for Faster
and Scalable Deployments
By: Paschal Kenechukwu Oruche
DevOps Engineer
@oruchepaschal
@oruchepaschal
Run-down
Introduction
The benefits of DevOps
Continuous Integration and
Continuous Deployment (CI/CD)
What is DevOps?
Automated Testing
Infrastructure as Code (IaC)
Monitoring and Logging
Deployment pipelines
2
INTRODUCTION
DevOps unifies IT operations and software development, enabling teams to collaborate,
integrate their efforts, and implement automation in order to quickly and reliably deliver high-quality software.
3
up
What
is
DevOps?
4
What is
DevOps?
DevOps is a set of practices that combines
software development and operations to improve
the speed, quality, and reliability of software
delivery.
Collaboration
Continuous improvements
Automation
The main goal of DevOps is
to shorten the development
life cycle, improve software
quality, and provide quicker
time to market.
Automation helps to
streamline the entire
DevOps lifecycle by reducing
manual human effort and
errors, enabling faster
delivery cycles, and
eliminating the need for
manual intervention.
DevOps lifecycle should also be
continuously improved and
refined, which involves
introducing new tools and
processes, automating manual
tasks, and optimizing existing
processes.
Improved Collaboration
DevOps facilitates better
collaboration between teams by
providing a transparent and unified
platform for development and
operations.
Increased Reliability and
Performance
Automation and close monitoring
reduces manual errors and help to
ensure that only quality code is
released.
Cost Savings
By improving the efficiency of the
development and deployment
process, DevOps can reduce
development and operations costs
Increased Agility
The integrating of development and
operations, DevOps, enables faster
release cycles and implementation of
changes to production environments.
Rapid delivery
DevOps enables organizations to deliver
products and services faster.
Improved Security
Track and identify security vulnerabilities
and respond to them more quickly &
maintain compliance.
5
The
benefits
of
DevOps
Benefits of DevOps
6
Continuous
Integration
and
Continuous
Deployment
(CI/CD)
Continuous Integration and Continuous Deployment
(CI/CD)
CI/CD is a key aspect of DevOps that enables teams to automatically build,
test, and deploy code changes to production. This helps to speed up the
deployment process, reduce errors, and improve overall quality.
Continuous Deployment
Continuous Deployment (CD) is the process of
immediately deploying code changes to production after
they have been successfully tested and validated through
CI. This allows changes to be deployed quickly and
efficiently into production, reducing the time to market for
new features and bug fixes. CD also helps ensure that the
Continuous Integration
Continuous Integration (CI) is a software development
practice that aims to reduce errors by integrating small
changes or change sets into a shared code repository,
often multiple times a day. This allows developers to
detect and address errors quickly, as well as reduce the
time required for manual testing.
7
Automated
Testing
Automated Testing
Automated testing helps to catch bugs and issues before they make it to production, which reduces the risk
of failure and improves the overall quality of the software. Automated testing also saves time and increases
efficiency, as manual testing is time-consuming and prone to errors.
Automated testing in DevOps is the process of running tests on your software program in an automated
fashion. Automated testing can help improve the quality of your app by identifying defects quickly, so that
they can be fixed before they become a problem. Automated tests can be used as part of the continuous
integration and continuous delivery process to ensure that code changes are being tested quickly and
efficiently.
Infrastructure
as
Code
(IaC)
8
Infrastructure as Code
(IaC)
Infrastructure as Code (IaC) is a development approach that harnesses code to provision and monitor
infrastructure resources, applications, and environments. With the help of automation and configuration
management tools such as Puppet, Chef, and Ansible, DevOps teams can ensure consistent deployments
that are reliable and succinctly scalable. By eliminating manual tasks, IaC enables DevOps teams to pay
attention to more meaningful operations while enhancing productivity.
Furthermore, cloud-based APIs enable developers and system administrators to manage infrastructure at
scale through an automated process as opposed to manual setup. Consequently, software development
techniques like version control and continuous integration can be applied for tracking changes and
compliance purposes.
In simple terms, IaC enables teams to manage and provision infrastructure using code, rather than manual
configuration. This helps to automate the infrastructure management process, making it faster, more
efficient, and more scalable.
Monitoring
&
Logging
9
Monitoring and Logging is the practice of collecting and analyzing data to identify trends, problems, and
opportunities for improvement in the development and operations process. It's a key part of ensuring that DevOps
teams are operating at optimal levels and that applications are running reliably and efficiently.
Monitoring &
Logging
Logging
Logging involves the recording of events and activities
in the system, such as system events, application
errors, user actions, and transactions. Logs capture a
detailed history of what has happened in the system,
which can be used for debugging, troubleshooting, and
auditing. Logs can also be used to track user behavior
and identify patterns of usage that can inform future
development efforts.
Monitoring
Monitoring involves the continuous collection and analysis
of system metrics and performance data, such as CPU
usage, memory utilization, network traffic, response times,
and error rates. This data is used to gain visibility into the
health of the system and detect potential issues before
they become critical. Monitoring can also provide insights
into user behavior, allowing teams to identify opportunities
Deployment
Pipelines
10
Deployment Pipeline
Deployment pipelines are a series of automated steps that software goes through from development to production.
They help to streamline the deployment process, reduce errors, and improve the overall speed and efficiency of
software deployment. Deployment pipelines can be customized to fit the specific needs of each organization and can
be easily updated as the software evolves.
Code Commit
Code commit stage:
where changes are made
to the source code and
committed to a version
control system such as
Git.
Build stage
Where the code is compiled
and packaged into
deployable artifacts.
Test stage
Automated tests are
run to verify the
functionality,
performance, and
security of the code.
Deployment stage
The code is deployed to a
staging or production
environment
Post-deployment stage
Additional checks are performed
to ensure that the deployment
was successful and to monitor
the health of the application in
production.
Bonus
Thank you!
@oruchepaschal @oruchepaschal
Ad

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Leveraging DevOps for Faster and Scalable Deployments - Keynote.pdf

  • 1. Pa Leveraging D ev O p s for Faster and Scalable Deployments By: Paschal Kenechukwu Oruche DevOps Engineer @oruchepaschal @oruchepaschal
  • 2. Run-down Introduction The benefits of DevOps Continuous Integration and Continuous Deployment (CI/CD) What is DevOps? Automated Testing Infrastructure as Code (IaC) Monitoring and Logging Deployment pipelines 2
  • 3. INTRODUCTION DevOps unifies IT operations and software development, enabling teams to collaborate, integrate their efforts, and implement automation in order to quickly and reliably deliver high-quality software. 3 up
  • 4. What is DevOps? 4 What is DevOps? DevOps is a set of practices that combines software development and operations to improve the speed, quality, and reliability of software delivery. Collaboration Continuous improvements Automation The main goal of DevOps is to shorten the development life cycle, improve software quality, and provide quicker time to market. Automation helps to streamline the entire DevOps lifecycle by reducing manual human effort and errors, enabling faster delivery cycles, and eliminating the need for manual intervention. DevOps lifecycle should also be continuously improved and refined, which involves introducing new tools and processes, automating manual tasks, and optimizing existing processes.
  • 5. Improved Collaboration DevOps facilitates better collaboration between teams by providing a transparent and unified platform for development and operations. Increased Reliability and Performance Automation and close monitoring reduces manual errors and help to ensure that only quality code is released. Cost Savings By improving the efficiency of the development and deployment process, DevOps can reduce development and operations costs Increased Agility The integrating of development and operations, DevOps, enables faster release cycles and implementation of changes to production environments. Rapid delivery DevOps enables organizations to deliver products and services faster. Improved Security Track and identify security vulnerabilities and respond to them more quickly & maintain compliance. 5 The benefits of DevOps Benefits of DevOps
  • 6. 6 Continuous Integration and Continuous Deployment (CI/CD) Continuous Integration and Continuous Deployment (CI/CD) CI/CD is a key aspect of DevOps that enables teams to automatically build, test, and deploy code changes to production. This helps to speed up the deployment process, reduce errors, and improve overall quality. Continuous Deployment Continuous Deployment (CD) is the process of immediately deploying code changes to production after they have been successfully tested and validated through CI. This allows changes to be deployed quickly and efficiently into production, reducing the time to market for new features and bug fixes. CD also helps ensure that the Continuous Integration Continuous Integration (CI) is a software development practice that aims to reduce errors by integrating small changes or change sets into a shared code repository, often multiple times a day. This allows developers to detect and address errors quickly, as well as reduce the time required for manual testing.
  • 7. 7 Automated Testing Automated Testing Automated testing helps to catch bugs and issues before they make it to production, which reduces the risk of failure and improves the overall quality of the software. Automated testing also saves time and increases efficiency, as manual testing is time-consuming and prone to errors. Automated testing in DevOps is the process of running tests on your software program in an automated fashion. Automated testing can help improve the quality of your app by identifying defects quickly, so that they can be fixed before they become a problem. Automated tests can be used as part of the continuous integration and continuous delivery process to ensure that code changes are being tested quickly and efficiently.
  • 8. Infrastructure as Code (IaC) 8 Infrastructure as Code (IaC) Infrastructure as Code (IaC) is a development approach that harnesses code to provision and monitor infrastructure resources, applications, and environments. With the help of automation and configuration management tools such as Puppet, Chef, and Ansible, DevOps teams can ensure consistent deployments that are reliable and succinctly scalable. By eliminating manual tasks, IaC enables DevOps teams to pay attention to more meaningful operations while enhancing productivity. Furthermore, cloud-based APIs enable developers and system administrators to manage infrastructure at scale through an automated process as opposed to manual setup. Consequently, software development techniques like version control and continuous integration can be applied for tracking changes and compliance purposes. In simple terms, IaC enables teams to manage and provision infrastructure using code, rather than manual configuration. This helps to automate the infrastructure management process, making it faster, more efficient, and more scalable.
  • 9. Monitoring & Logging 9 Monitoring and Logging is the practice of collecting and analyzing data to identify trends, problems, and opportunities for improvement in the development and operations process. It's a key part of ensuring that DevOps teams are operating at optimal levels and that applications are running reliably and efficiently. Monitoring & Logging Logging Logging involves the recording of events and activities in the system, such as system events, application errors, user actions, and transactions. Logs capture a detailed history of what has happened in the system, which can be used for debugging, troubleshooting, and auditing. Logs can also be used to track user behavior and identify patterns of usage that can inform future development efforts. Monitoring Monitoring involves the continuous collection and analysis of system metrics and performance data, such as CPU usage, memory utilization, network traffic, response times, and error rates. This data is used to gain visibility into the health of the system and detect potential issues before they become critical. Monitoring can also provide insights into user behavior, allowing teams to identify opportunities
  • 10. Deployment Pipelines 10 Deployment Pipeline Deployment pipelines are a series of automated steps that software goes through from development to production. They help to streamline the deployment process, reduce errors, and improve the overall speed and efficiency of software deployment. Deployment pipelines can be customized to fit the specific needs of each organization and can be easily updated as the software evolves. Code Commit Code commit stage: where changes are made to the source code and committed to a version control system such as Git. Build stage Where the code is compiled and packaged into deployable artifacts. Test stage Automated tests are run to verify the functionality, performance, and security of the code. Deployment stage The code is deployed to a staging or production environment Post-deployment stage Additional checks are performed to ensure that the deployment was successful and to monitor the health of the application in production.
  • 11. Bonus