Talk about the basic principles and concepts of CI/CD as a set of practices in order to reduce integration errors through automated implementations for testing and deployments as well as the tooling behind this philosophy.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
In this session we will take an introduction look to Continuous Integration and Continuous Delivery workflow.
This is an introduction session to CI/CD and is best for people new to the CI/CD concepts, or looking to brush up on benefits of using these approaches.
* What CI & CD actually are
* What good looks like
* A method for tracking confidence
* The business value from CI/CD
In this session, we will learn about Teamcity CI Server. We will look at the different options available and how we can set a CI pipeline using Teamcity.
All organizations want to go faster and decrease friction in their cloud software delivery pipeline. Infosec has an opportunity to change their classic approach from blocker to enabler. This talk will discuss hallmarks of CI/CD and some practical examples for adding security testing across different organizations. The talk will cover emergent patterns, practices and toolchains that bring security to the table.
Presented at OWASP NoVA, Sept 25th, 2018
DevOps is a movement to change how IT is done by promoting collaboration between development and operations teams. It aims to reduce waste and improve delivery of software by making development and operations processes more efficient through automation, monitoring, and communication. The DevOps philosophy advocates enhancing software design with operational knowledge, building feedback loops from production into development to improve systems, and fostering a culture of shared responsibility. Key DevOps practices include accelerating the flow of changes to production through continuous integration, delivery, and deployment; adding development practices to operations like automated testing; and empowering developers to do production work to break down barriers between teams. DevOps uses tooling throughout the development and operations process to measure and monitor systems and provide feedback.
McCall Software Quality Model in Software Quality Assurance sundas Shabbir
McCall Software Quality Model in Software Quality Assurance
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This document discusses DevOps and continuous delivery. It begins by introducing the speaker and defining DevOps as applying kanban principles and focusing on reducing lead time from idea to production. It then discusses how continuous integration, continuous delivery, test automation, and breaking work into small batches can help reduce lead time. The document emphasizes that DevOps is not just about tools but also culture and processes.
Personality Prediction and CV Analysis SystemIRJET Journal
The document describes a proposed system for personality prediction and CV analysis to aid in the recruitment process. The system would ask candidates to fill out details, upload their CV, and answer questions related to the big five personality traits. Machine learning models would analyze the responses to predict candidates' personalities. It would also extract key information from CVs using natural language processing. The goals are to streamline recruitment, reduce the workload on HR, and provide a fair way to shortlist candidates based on skills and personality. The proposed system aims to replace traditional and manual recruitment methods.
This document discusses DevOps, including what it is, why it is used, its history and practices. DevOps combines cultural philosophies and tools to increase an organization's ability to deliver applications and services faster. It involves development and operations teams working together throughout the entire service lifecycle. Key DevOps practices include continuous integration, delivery and deployment; use of microservices; infrastructure as code; monitoring and logging; and communication between teams. The DevOps lifecycle aims to continuously deliver products through automation and monitoring at each stage of development and deployment.
1) The document provides an overview of DevOps, discussing current business problems like slow releases and downtime that DevOps aims to address.
2) It defines DevOps as a set of practices emphasizing collaboration between development and IT to automate software delivery and infrastructure changes.
3) Key DevOps concepts discussed include continuous integration, continuous delivery, infrastructure as code, and improving communication between teams.
The document discusses GitLab CI/CD, an overview of the types of pipelines in GitLab including how they are defined and can group jobs. It also mentions manual actions, multi-project pipeline graphs, and security on protected branches. Additional topics covered include review apps and environments, application performance monitoring, next steps such as moving from dev to devops, how everyone can contribute to GitLab, and current job openings.
The presentation about the fundamentals of DevOps workflow and CI/CD practices I presented at Centroida (https://centroida.ai/) as a back-end development intern.
DevOps, sibling of Agile is born of the need to improve IT service delivery agility to the more stable environment.
DevOps movement emphasizes tearing the boundaries between makers (Development) & caretakers (Operations) of IT services/products.
Patrick Debois coined the term "DevOps" in 2009 by combining "development" and "operations" to refer to a collaborative way for software teams to develop and deploy applications. DevOps stresses communication between developers and IT operations and utilizes automation. It involves planning, creating, verifying, packaging, releasing, configuring and monitoring software. While DevOps is a cultural practice, cloud computing utilizes remote servers accessed over the internet and DevOps principles support development and deployment in the cloud.
This document discusses DevOps, including what it is, its principles, challenges and benefits. DevOps aims to bridge the gap between development and operations through communication, collaboration and automation. It allows for rapid product evolution, improved quality and reduced costs and risks. DevOps principles include developing in similar environments to production and frequent, validated deployments. Challenges include release management and coordination, which DevOps addresses through continuous integration, delivery and automation tools. When to adopt DevOps includes ecommerce and websites, but not critical platforms like banking systems.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
This document discusses Continuous Integration/Continuous Delivery (CICD) with Jenkins. It begins with an introduction to how developing and releasing software can be complicated. It then provides an overview of CICD, including that continuous integration verifies new changes through testing, continuous delivery enables continuous deployment to production, and continuous deployment automatically deploys all passed changes. The document discusses how Jenkins is an open-source automation server that helps automate the software development process for CICD. It concludes with best practices for Jenkins, such as high availability, sizing Jenkins machines appropriately, and organizing pipelines and jobs.
This document provides an overview of using GitLab for continuous integration and continuous delivery (CI/CD) processes. It begins with definitions of CI, CD, and when they should be configured. It then discusses GitLab's capabilities for the DevOps lifecycle and its advantages as a single application for collaboration across teams. The document outlines basic CI/CD concepts in GitLab like the YAML configuration file, pipelines, jobs, stages, and runners. It concludes with suggestions for real-life project settings like defining stages, variables, templates, environments, dependencies, and examples of build, deployment, and integration jobs.
This document discusses GitLab Continuous Integration (GitLab CI/CD). It defines continuous integration, continuous delivery, and continuous deployment. It explains that GitLab CI/CD uses pipelines made up of stages and jobs to test, build, and deploy code. Pipelines are configured using a YAML file. Jobs run on GitLab runners, which can execute jobs locally or using Docker. Benefits of GitLab CI/CD include integrated pipelines, Docker/Kubernetes integration, and not requiring plugins. The downside is that it is only available within GitLab.
CI CD Pipeline Using Jenkins | Continuous Integration and Deployment | DevOps...Edureka!
** DevOps Training: https://www.edureka.co/devops **
This CI CD Pipeline tutorial explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools. Below are the topics covered in the video:
1. What is DevOps
2. What are CI and CD?
3. Pipelines: What are they?
4. Continuous Delivery and Continuous Deployment
5. Role of Jenkins
6. Role of Docker
7. Hands-On – Creating CI CD Pipeline Using Jenkins and Docker
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Using Azure DevOps to continuously build, test, and deploy containerized appl...Adrian Todorov
Using Azure DevOps and containers, developers can continuously build, test, and deploy applications to Kubernetes with ease. Azure DevOps provides tools for continuous integration, release management, and monitoring that integrate well with containerized applications on Kubernetes. Developers benefit from being able to focus on writing code while operations manages the infrastructure. Azure Kubernetes Service (AKS) makes it simple to deploy and manage Kubernetes clusters in Azure without having to worry about installing or maintaining the Kubernetes master components.
When DevOps talks meet DevOps tactics, companies find that Continuous Integration is the make or break point. And implementing CI is one thing, but sustainable CI takes a little bit more consideration. CI is not all about releases, it is also about knowing more about how your software delivery pipeline works, it's weak points, and how you are doing over time.
Join CloudBees and cPrime as we discuss best practices for facilitating DevOps pipelines with Jenkins Workflow and reveal how the workflow engine of Jenkins CI and “Agilecentric” Devops practices together, support complex control structures, shortens the development cycle, stabilizes environments and reduces defects.
The document discusses why learning DevOps is beneficial. DevOps is a methodology that aims to improve collaboration between development and operations teams. It allows for faster development and deployment cycles through practices like continuous integration, monitoring, and configuration management. Learning DevOps can lead to high paying job opportunities, with average salaries for DevOps roles in the US being around $146,000. The document outlines the syllabus and tools covered in a DevOps training, and shares salary data for different DevOps positions.
EduXFactor presents to you a comprehensive up-to-date DevOps certification program. This course will empower you with job-relevant skills and power you ahead in your career.
With this course, master various aspects of software development, operations, continuous integration, continuous delivery, automated configuration management, test, and deployment using DevOps tools like Git, Docker, Jenkins, Ansible, Kubernetes, Puppet & Nagios..
Packed with hands-on exercise for every module, this course is suitable for software developers, technical project managers, architects, operations support, deployment engineers, IT managers, and development managers.
The document introduces DevOps concepts including why DevOps is needed, its principles and goals. It discusses that DevOps aims to reduce the time between code changes and production deployment while ensuring quality. DevOps promotes a culture of collaboration between development and operations teams through practices like automation, continuous integration/delivery, and sharing of knowledge. It also covers DevOps maturity levels, team topologies and categories of tools that can support DevOps workflows.
This presentation about DevOps will help you understand what is DevOps, how is DevOps different from traditional IT, benefits of DevOps, the lifecycle of DevOps and tools used in DevOps processes. DevOps is one of the most trending IT jobs. It is a collaboration between development and operation teams which enables continuous delivery of applications and services to our end users. However, if you want to become a DevOps engineer, you must have knowledge of various DevOps tools (like Git, Maven, Selenium, Jenkins, Docker, Ansible, Nagios etc.) to achieve automation at each stage which helps in gaining Continuous Development, Continuous Integration, Continuous Testing and Continuous Monitoring in order to deliver a quality product to the client at a very fast pace. Now, let us get started and understand DevOps and does the various DevOps tools work.
Below are the topics explained in this DevOps presentation:
1. What is DevOps?
2. Benefits of DevOps
3. Lifecycle of DevOps
4. Tools in DevOps
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
DevOps is a software engineering culture and practice that aims to unify software development (Dev) and software operation (Ops) teams. The main goals of DevOps are to achieve shorter development cycles, increased deployment frequency, and more dependable releases that are closely aligned with business objectives. DevOps advocates for the automation and monitoring of all steps in the software development process, from integration and testing through release, deployment, and infrastructure management.
This document discusses DevOps, including what it is, why it is used, its history and practices. DevOps combines cultural philosophies and tools to increase an organization's ability to deliver applications and services faster. It involves development and operations teams working together throughout the entire service lifecycle. Key DevOps practices include continuous integration, delivery and deployment; use of microservices; infrastructure as code; monitoring and logging; and communication between teams. The DevOps lifecycle aims to continuously deliver products through automation and monitoring at each stage of development and deployment.
1) The document provides an overview of DevOps, discussing current business problems like slow releases and downtime that DevOps aims to address.
2) It defines DevOps as a set of practices emphasizing collaboration between development and IT to automate software delivery and infrastructure changes.
3) Key DevOps concepts discussed include continuous integration, continuous delivery, infrastructure as code, and improving communication between teams.
The document discusses GitLab CI/CD, an overview of the types of pipelines in GitLab including how they are defined and can group jobs. It also mentions manual actions, multi-project pipeline graphs, and security on protected branches. Additional topics covered include review apps and environments, application performance monitoring, next steps such as moving from dev to devops, how everyone can contribute to GitLab, and current job openings.
The presentation about the fundamentals of DevOps workflow and CI/CD practices I presented at Centroida (https://centroida.ai/) as a back-end development intern.
DevOps, sibling of Agile is born of the need to improve IT service delivery agility to the more stable environment.
DevOps movement emphasizes tearing the boundaries between makers (Development) & caretakers (Operations) of IT services/products.
Patrick Debois coined the term "DevOps" in 2009 by combining "development" and "operations" to refer to a collaborative way for software teams to develop and deploy applications. DevOps stresses communication between developers and IT operations and utilizes automation. It involves planning, creating, verifying, packaging, releasing, configuring and monitoring software. While DevOps is a cultural practice, cloud computing utilizes remote servers accessed over the internet and DevOps principles support development and deployment in the cloud.
This document discusses DevOps, including what it is, its principles, challenges and benefits. DevOps aims to bridge the gap between development and operations through communication, collaboration and automation. It allows for rapid product evolution, improved quality and reduced costs and risks. DevOps principles include developing in similar environments to production and frequent, validated deployments. Challenges include release management and coordination, which DevOps addresses through continuous integration, delivery and automation tools. When to adopt DevOps includes ecommerce and websites, but not critical platforms like banking systems.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
This document discusses Continuous Integration/Continuous Delivery (CICD) with Jenkins. It begins with an introduction to how developing and releasing software can be complicated. It then provides an overview of CICD, including that continuous integration verifies new changes through testing, continuous delivery enables continuous deployment to production, and continuous deployment automatically deploys all passed changes. The document discusses how Jenkins is an open-source automation server that helps automate the software development process for CICD. It concludes with best practices for Jenkins, such as high availability, sizing Jenkins machines appropriately, and organizing pipelines and jobs.
This document provides an overview of using GitLab for continuous integration and continuous delivery (CI/CD) processes. It begins with definitions of CI, CD, and when they should be configured. It then discusses GitLab's capabilities for the DevOps lifecycle and its advantages as a single application for collaboration across teams. The document outlines basic CI/CD concepts in GitLab like the YAML configuration file, pipelines, jobs, stages, and runners. It concludes with suggestions for real-life project settings like defining stages, variables, templates, environments, dependencies, and examples of build, deployment, and integration jobs.
This document discusses GitLab Continuous Integration (GitLab CI/CD). It defines continuous integration, continuous delivery, and continuous deployment. It explains that GitLab CI/CD uses pipelines made up of stages and jobs to test, build, and deploy code. Pipelines are configured using a YAML file. Jobs run on GitLab runners, which can execute jobs locally or using Docker. Benefits of GitLab CI/CD include integrated pipelines, Docker/Kubernetes integration, and not requiring plugins. The downside is that it is only available within GitLab.
CI CD Pipeline Using Jenkins | Continuous Integration and Deployment | DevOps...Edureka!
** DevOps Training: https://www.edureka.co/devops **
This CI CD Pipeline tutorial explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools. Below are the topics covered in the video:
1. What is DevOps
2. What are CI and CD?
3. Pipelines: What are they?
4. Continuous Delivery and Continuous Deployment
5. Role of Jenkins
6. Role of Docker
7. Hands-On – Creating CI CD Pipeline Using Jenkins and Docker
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Using Azure DevOps to continuously build, test, and deploy containerized appl...Adrian Todorov
Using Azure DevOps and containers, developers can continuously build, test, and deploy applications to Kubernetes with ease. Azure DevOps provides tools for continuous integration, release management, and monitoring that integrate well with containerized applications on Kubernetes. Developers benefit from being able to focus on writing code while operations manages the infrastructure. Azure Kubernetes Service (AKS) makes it simple to deploy and manage Kubernetes clusters in Azure without having to worry about installing or maintaining the Kubernetes master components.
When DevOps talks meet DevOps tactics, companies find that Continuous Integration is the make or break point. And implementing CI is one thing, but sustainable CI takes a little bit more consideration. CI is not all about releases, it is also about knowing more about how your software delivery pipeline works, it's weak points, and how you are doing over time.
Join CloudBees and cPrime as we discuss best practices for facilitating DevOps pipelines with Jenkins Workflow and reveal how the workflow engine of Jenkins CI and “Agilecentric” Devops practices together, support complex control structures, shortens the development cycle, stabilizes environments and reduces defects.
The document discusses why learning DevOps is beneficial. DevOps is a methodology that aims to improve collaboration between development and operations teams. It allows for faster development and deployment cycles through practices like continuous integration, monitoring, and configuration management. Learning DevOps can lead to high paying job opportunities, with average salaries for DevOps roles in the US being around $146,000. The document outlines the syllabus and tools covered in a DevOps training, and shares salary data for different DevOps positions.
EduXFactor presents to you a comprehensive up-to-date DevOps certification program. This course will empower you with job-relevant skills and power you ahead in your career.
With this course, master various aspects of software development, operations, continuous integration, continuous delivery, automated configuration management, test, and deployment using DevOps tools like Git, Docker, Jenkins, Ansible, Kubernetes, Puppet & Nagios..
Packed with hands-on exercise for every module, this course is suitable for software developers, technical project managers, architects, operations support, deployment engineers, IT managers, and development managers.
The document introduces DevOps concepts including why DevOps is needed, its principles and goals. It discusses that DevOps aims to reduce the time between code changes and production deployment while ensuring quality. DevOps promotes a culture of collaboration between development and operations teams through practices like automation, continuous integration/delivery, and sharing of knowledge. It also covers DevOps maturity levels, team topologies and categories of tools that can support DevOps workflows.
This presentation about DevOps will help you understand what is DevOps, how is DevOps different from traditional IT, benefits of DevOps, the lifecycle of DevOps and tools used in DevOps processes. DevOps is one of the most trending IT jobs. It is a collaboration between development and operation teams which enables continuous delivery of applications and services to our end users. However, if you want to become a DevOps engineer, you must have knowledge of various DevOps tools (like Git, Maven, Selenium, Jenkins, Docker, Ansible, Nagios etc.) to achieve automation at each stage which helps in gaining Continuous Development, Continuous Integration, Continuous Testing and Continuous Monitoring in order to deliver a quality product to the client at a very fast pace. Now, let us get started and understand DevOps and does the various DevOps tools work.
Below are the topics explained in this DevOps presentation:
1. What is DevOps?
2. Benefits of DevOps
3. Lifecycle of DevOps
4. Tools in DevOps
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
DevOps is a software engineering culture and practice that aims to unify software development (Dev) and software operation (Ops) teams. The main goals of DevOps are to achieve shorter development cycles, increased deployment frequency, and more dependable releases that are closely aligned with business objectives. DevOps advocates for the automation and monitoring of all steps in the software development process, from integration and testing through release, deployment, and infrastructure management.
Top 20 Devops Engineer Interview Questions And Answers For 2023 | Devops Tuto...Simplilearn
In this video on Top 20 Devops Engineer Interview Questions And Answers For 2023. We will dive into the realm of DevOps interview questions. Gain insights into essential concepts, methodologies, and practices driving modern software development and collaboration between teams. Whether you're new or experienced, these discussions will equip you with valuable knowledge to excel in this dynamic field.
This document summarizes and compares several popular DevOps tools used for tasks like version control, configuration management, continuous integration/delivery, monitoring, and testing. Key tools mentioned include Git, GitHub, Ansible, Jenkins, Chef, Puppet, Statuspage, ServiceNow, Docker, Kubernetes, Prometheus, Splunk, Datadog, Selenium, and JFrog Artifactory. Each tool is briefly described in terms of its main functionality and role in a DevOps workflow.
SESSION TITLE
DevOps - IaC
SESSION THEME
DevOps
SESSION OVERVIEW
This is a hands-on experience workshop on "DevOps - IaC" and Automation from Infrastructure prospective. The session provides valuable insights on How "IaC" is going to be future for traditional DC, VM's and for Cloud, and How to setup or start with "IaC", what tool set and pipelines can be used and followed to move from traditional manual approach to automated DevOps approach.
SESSION AGENDA
What is DevOps? and Why you need DevOps?
What is DevOps - IaC?
Overview of some essential tools like Git, Jenkins, Docker/Ansible
Live Demo
Q&A
SESSION TAKEAWAYS
DevOps - IaC Framework
Overview of Tool Set
Pipeline Creation Overview
Automation Idea
And at last confidence to start a change towards DevOps
DURATION
45 Mins
How to win at DevOps (and understand it along the way)Jimmy Puckett
Learn the basics of DevOps, continuous integration, continuous delivery and the tools that you’ll need to successfully implement DevOps at your organization.
- Introduction to DevOps.
- Glossary.
- Continuous testing.
- The DevOps lifecycle.
- Where does QA fit in DevOps.
- Test-Driven Development (TDD).
- References.
This document provides an introduction to DevOps concepts including continuous integration, continuous delivery, infrastructure as code, and configuration management. It discusses the need for DevOps to improve processes like manual setups, lack of change tracking, and long release cycles. Key DevOps practices include infrastructure as code, configuration management, continuous integration, and continuous delivery. The document demonstrates a continuous delivery pipeline using Gocd.
Here is the small presentation on DevOps to DevSecOps Journey..
- What is DevOps and their best practices.
- Practical Scenario of DevOps practices.
- DevOps transformation Journey.
- Transition to DevSecOps and why we need it.
- Enterprise CI/CD Pipeline.
XP teams try to keep systems fully integrated at all times, and shorten the feedback cycle to minutes and hours instead of weeks or months. The sooner you know, the sooner you can adapt.
Watch our record for the webinar "Continuous Integration" to explore how Azure DevOps helps us in achieving continuous feedback using continuous integration.
DevOps is a culture that aims to harmonize people, processes, and technologies to enhance the ability of organizations to reliably release software faster and more frequently. Visual Studio Team Services is a cloud service that supports the DevOps process through features like Git source control, build management, release management, and testing. An effective continuous integration and continuous deployment pipeline uses automated builds to detect problems early and reliably releases software through environments like development, staging, and production.
Boris Devouge (Microsoft) - DevOps on AzureOutlyer
Boris kicked off the meetup with Microsofts intro to the world of DevOps on Azure and how Microsoft is increasingly playing nice with the Open-Source world.
Video: https://www.youtube.com/watch?v=Hy86wfxT7fo
Join DevOps Exchange London here: http://www.meetup.com/DevOps-Exchange-London
Follow DOXLON on twitter http://www.twitter.com/doxlon
This document provides an introduction to DevOps. It discusses what DevOps is, including continuous integration and continuous delivery pipelines. It describes the duties of a DevOps engineer, such as developing solutions for continuous delivery, infrastructure strategy, security, and more. It also covers topics like what is included in a CI/CD pipeline, securing a CI/CD pipeline, and common DevOps tools and technologies.
This document discusses continuous delivery using containers. It describes how the company uses microservices architecture, scaling, full automation, and continuous delivery. Continuous delivery is defined as keeping software in short cycles so it can be reliably released at any time. The deployment pipeline includes committing code, running unit tests, integration tests, end-to-end tests, building Docker images, and pushing to a registry. CoreOS is also discussed as a lightweight OS that runs all services in containers and uses a distributed key-value store.
DevOps is a culture and practice that aims to rapidly build, test, and release software. Continuous integration requires developers to integrate code into a shared repository multiple times a day, with each check-in verified by automated builds to detect problems early. Continuous delivery is the practice of releasing every good build to users. Popular tools for continuous integration include TeamCity, Jenkins, and others.
DevOps in Action: How Nedbank went from quarterly to weekly releases in no time!Jaco Greyling
1. The document summarizes Nedbank's transition from quarterly to weekly software releases using DevOps practices.
2. It describes how Nedbank redefined its software delivery process, tooling, and culture through a BizDevOps philosophy focused on squads, tribes, and chapters to encourage collaboration.
3. The key DevOps practices implemented include trunk-based development, test-driven development, continuous integration, continuous delivery, continuous testing, and automation tools like Jenkins, XL Release, and Blazemeter to enable fully automated testing and deployment.
Continuous delivery is the process of automating the deployment of code changes to production. It involves building, testing, and deploying code changes through successive environments like integration, testing, and production. Continuous integration starts the process by automatically building and testing code changes. The release pipeline then automates deploying through environments. This finds issues early and allows for rapid deployment of code changes to production through automated testing and infrastructure provisioning.
This document discusses continuous integration (CI) and continuous deployment (CD) achieved through MuleSoft. It provides an overview of DevOps tools and principles like CI, CD, and automation. The document outlines the benefits of CI/CD like faster delivery and recovery. It presents MuleSoft's high-level architecture and how it supports CI/CD. It also discusses APIs, system integration, and the benefits of applying CI/CD patterns with MuleSoft like increased code coverage and deploying code faster to production with less bugs.
Continuous integration (CI) with TeamCity automates the software building and testing process. It allows developers to check in code frequently and have builds run automatically to detect issues early. TeamCity monitors source code repositories for changes, builds the code, and runs tests on each change. This helps ensure all code components work together, coding standards are followed, and tests are passing. CI with TeamCity provides benefits like reduced risks from early defect detection, increased visibility into the project, and confidence in the software.
HashiCorp is a software company based in San Francisco that provides open-source and commercial tools to provision, secure, run and connect cloud infrastructure. Vault is an open-source tool from HashiCorp that securely stores secrets and encrypts data. It tightly controls access to secrets by authenticating users and applications and authorizing access through policies. Vault stores data encrypted and uses key sharing to reconstruct an encryption key when unsealing to enable access to secrets.
This talk is about what is the OpenStack project and why I should consider it to mount my cloud, whether public, private or hybrid, we will see in detail the projects that compose it and the offer of services around.
This document discusses using OpenStack for edge infrastructure and carrier-grade performance. OpenStack is open-source software that manages compute, storage, and networking resources across a datacenter. Edge computing optimizes applications by moving some portion away from central nodes to the edge of the network, closer to end users. OpenStack is well-suited for edge computing due to its ability to deploy minimal services efficiently at the edge while providing robust support for various technologies. Carrier-grade systems refer to extremely reliable systems tested for high availability, with fast fault recovery. StarlingX is an open-source edge cloud software stack based on Wind River Titanium Cloud that incorporates OpenStack, KVM/QEMU, Ceph, DPDK, and
The document discusses Software-Defined Networking (SDN), defining it as an emerging architecture that is dynamic, manageable, cost-effective and adaptable. It describes SDN protocols like OpenFlow that give access to network switches. It outlines the key aspects of the SDN architecture including being directly programmable, centrally managed, programmatically configured, and open standards-based. It also lists several related open-source SDN projects and protocols involved in SDN like Open vSwitch, ONAP, DPDK, OpenDaylight, ONOS, and PNDA.
Calico provides secure network connectivity for containers and virtual machine workloads.
Calico creates and manages a flat layer 3 network, assigning each workload a fully routable IP address. Workloads can communicate without IP encapsulation or network address translation for bare metal performance, easier troubleshooting, and better interoperability. In environments that require an overlay, Calico uses IP-in-IP tunneling or can work with other overlay networking such as flannel.
Calico also provides dynamic enforcement of network security rules. Using Calico’s simple policy language, you can achieve fine-grained control over communications between containers, virtual machine workloads, and bare metal host endpoints.
Proven in production at scale, Calico features integrations with Kubernetes, OpenShift, Docker, Mesos, DC/OS, and OpenStack.
OpenStack, a view from sysadmin. Ver. 0.1Hazzim Anaya
Regularly when we hear talk about OpenStack is from the point of view of a developer, consultant or end user, but what about the technical side of the Sysadmin ?, In this talk we will try to give an idea of the necessary skills to be a sysadmin OpenStack.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
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Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
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This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
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Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
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Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
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Illustrator is a widely used and recognized software in the graphic design industry.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
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Editing:
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Processing:
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Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
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Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
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3. CONTINUOUS INTEGRATION
• Continuous integration (CI) is the practice of merging all developer
working copies to a shared mainline several times a day.
4. CONTINUOUS INTEGRATION
• Git
• Git is a free and open source distributed version control system designed to
handle everything from small to very large projects with speed and efficiency.
• Git is easy to learn and has a tiny footprint with lightning fast performance. It
outclasses SCM tools like Subversion, CVS, Perforce, and ClearCase with
features like cheap local branching, convenient staging areas, and multiple
workflows.
8. CONTINUOUS INTEGRATION
• In the field of software development, the term build is similar to
that of any other field.That is, the construction of something that
has an observable and tangible result.
9. CONTINUOUS INTEGRATION
• Build automation is the process of automating the creation of
a software build and the associated processes
including: compiling computer source code into binary
code, packaging binary code, and running automated tests.
13. CONTINUOUS INTEGRATION
• Artifacts can be used to represent data created as a side-effect of
running a build. Artifacts are files which are associated with a single
build.A build can have any number of artifacts associated with it.
16. CONTINUOUS INTEGRATION
• Here is were we use a continuous integration software that
supports our continuous integration process, in which developer's
changes are immediately tested and reported when they are
added to the mainline code base.
22. CONTINUOUS INTEGRATION
• Another part of CI/CD and DevOps is "Infrastructure as code", the
capability of create and destroy servers under demand for specific
needs or testing, with the fiability everytime will we have the same
config.
33. CONTINUOUS DELIVERY
• Continuous delivery is an extension of continuous integration to
make sure that you can release new changes to your customers
quickly in a sustainable way.
• This means that on top of having automated your testing, you also
have automated your release process and you can deploy your
application at any point of time by clicking on a button.
34. CONTINUOUS DELIVERY
• In theory, with continuous delivery, you can decide to release daily,
weekly, fortnightly, or whatever suits your business requirements.
However, if you truly want to get the benefits of continuous
delivery, you should deploy to production as early as possible to
make sure that you release small batches, that are easy to
troubleshoot in case of a problem.
36. DEVOPS
• DevOps is a software engineering culture and practice that aims at
unifying software development (Dev) and software operation (Ops).
The main characteristic of the DevOps movement is to strongly
advocate automation and monitoring at all steps of software
construction, from integration, testing, releasing to deployment
and infrastructure management.
39. DEVSECOPS
• DevSecOps strives to automate core security tasks by embedding
security controls and processes into the DevOps
workflow. DevSecOps originally focused primarily on automating
code security and testing, but now it also encompasses more
operations-centric controls.
40. NETDEVOPS
• NetDevOps is a culture, movement, or practice that emphasizes the
collaboration and communication of both network architects and
operators while automating the process of network design and
changes. It aims at establishing a culture and environment where
building, testing, and releasing network changes can happen rapidly,
frequently, and more reliably.
41. SRE
• Site Reliability Engineering (SRE) is a discipline that incorporates
aspects of software engineering and applies that to IT
operations problems.The main goals are to create ultra-
scalableand highly reliable software systems.
42. DEVOPS
• "DevOps is never a straight line. It's a forest,And like a forest it's easy
to lose your way...To get lost...To forget where you came in.
-Hattori Hanzo - Kill Bill