Linuxtag 2012 - continuous delivery - dream to realityClément Escoffier
Continuous delivery is a challenge to implement seamlessly without changing work processes. The key is to introduce automation, responsibility, and a pipeline approach. Automating builds, tests, and deployments using tools like Maven, Jenkins, Vagrant, and configuration management ensures reliable and reproducible software releases. Implementing principles like committing often, comprehensive testing, and promoting changes through stages restores trust and readiness in a project.
Maven is close to ubiquitous in the world of enterprise Java, and the Maven dependency ecosystem is the de facto industry standard. However, the traditional Maven build and release strategy, based on snapshot versions and carefully planned releases, is difficult to reconcile with modern continuous delivery practices, where any commit that passes a series of quality-control gateways can qualify as a release. How can teams using the standard Maven release process still leverage the benefits of continuous delivery? This presentation discusses strategies that can be used to implement continuous delivery solutions with Maven and demonstrates one such strategy using Maven, Jenkins, and Git.
This document discusses applying automated application lifecycle management (ALM) practices to Azure cloud development. It outlines 5 scenarios with increasing levels of automation: 1) developers only, 2) adding manual testing, 3) adding automated deployment to a staging environment during builds, 4) adding automated testing during builds, and 5) fully automated testing, building, deployment, and acceptance testing integrated with operations. The document demonstrates configuring automated deployment and testing with Microsoft tools like Visual Studio, Test Manager, and PowerShell for Azure. While increasing automation brings benefits, it also requires more complex build workflows and management of certificates and configurations.
Automated Deployment Pipeline using Jenkins, Puppet, Mcollective and AWSBamdad Dashtban
This document discusses using Jenkins, Puppet, and Mcollective to implement a continuous delivery pipeline. It recommends using infrastructure as code with Puppet, nodeless Puppet configurations, and Mcollective to operate on collectives of servers. Jenkins is used for continuous integration and triggering deployments. Packages are uploaded to a repository called Seli that provides a REST API and can trigger deployment pipelines when new packages are uploaded. The goal is to continuously test, deploy, and release changes through full automation of the software delivery process.
The document discusses application lifecycle management (ALM) and how it is a team effort. It describes the build-deploy-test process and how teams can use virtual environments and snapshots to facilitate testing. It also provides information on free and paid plans for Team Foundation Server, a Microsoft ALM tool, and includes references for additional resources.
Automating your build process with Continuous Integration is certainly a great idea, but why stop there? Why not go the whole nine yards and automate the deployment process as well? Staging and production deployments are typically more complicated and more involved than a simple development deployment, but doing them by hand can be time-consuming, tricky and error-prone. Indeed, turning your staging and production deployments into a one-click affair has a lot going for it.
Puppet, Jenkins, and continuous integration (CI) were discussed. The presentation covered installing Jenkins as a master and slaves using Puppet, integrating Github pull requests with Jenkins and Mergeatron, and testing Puppet code with tools like Puppet Lint, Rspec-Puppet, and eventually running Puppet code on VMs. Future work may involve catalog checking and running Puppet code against real systems.
The document discusses strategies for continuous delivery through parallel development and continuous integration, including maintaining feature branches, release branches, and a main development branch. It also outlines the general development workflow and processes for building, deploying, acceptance testing, releasing, and pushing updates to production through automated deployment. The goal is to enable one-click software updates and releases at any time through establishing testing, integration, and deployment best practices.
This document discusses software testing with Microsoft Test Manager 2012 and Lab Management 2012. It provides an overview of the testing process, including: (1) getting the source and compiling projects, (2) copying the build to the test environment, (3) running deployment scripts on each machine, (4) creating an environment snapshot, (5) executing automated tests, (6) sending test results, (7) publishing results to Team Foundation Server. It also discusses features like virtual machine templates, environment management with System Center Virtual Machine Manager, and capabilities for manual testing, snapshot/restore, sharing bug snapshots, network fencing, and support for 3rd party virtualization and physical machines.
The document discusses using Maven to implement a continuous deployment pipeline. It addresses how to structure Maven projects to support various test stages like integration and acceptance testing in separate modules. It also provides solutions to issues Maven causes, such as rebuilding artifacts unnecessarily and an inability to simulate release versions, through the use of unique versioning and the Versions plugin. Continuous deployment is achieved by running tests and deploying builds from separate modules after each commit.
This document discusses techniques for continuous integration and deployment using Hudson. It recommends using Hudson to automate the build, testing and deployment process. This allows for faster feedback, better visibility and automated delivery. It describes how to use various Hudson plugins to implement continuous integration practices like automatic builds, testing, code quality metrics, notifications and promoting builds through test, UAT and production environments. The goal is to deploy code changes into production automatically through a continuous deployment pipeline.
Maven is an open source build automation tool used primarily for Java projects to manage builds, documentation, dependencies, and reports. It uses a project object model (POM) file to manage build configuration and dependencies. Maven has defined build lifecycles consisting of phases that execute plugin goals. It provides standard project layout and dependency management. Maven searches dependencies in local, central, and remote repositories. Build profiles allow customizing builds for different environments. Plugins are used to perform tasks like compiling, testing, packaging, and generating documentation.
Kishore Reddy has over 6 years of experience in DevOps engineering using tools like Ansible, Chef, and Puppet for configuration management, version control, and build automation. He has extensive experience setting up OpenStack and Amazon Web Services environments and deploying applications to servers like Tomcat and JBoss. He is proficient in writing scripts, creating Ansible roles/playbooks, and automating deployments through Jenkins.
This document provides an overview of Continuous Delivery with Jenkins Workflow. It discusses what Jenkins Workflow is, how to create and edit workflows using the Jenkins graphical interface or external scripts. It also covers integrating tools, controlling workflow flows, script security, and ways to scale workflows using features like checkpoints. The document includes a sample continuous delivery pipeline workflow example and discusses how to extend Jenkins Workflow through plugins.
This document discusses best practices for software version management in Maven. It covers what software versioning is, how Maven can help through plugins like the Maven release plugin, and tips for organizing Maven modules and versions. Key recommendations include using the Maven release plugin to manage releases, determining what scope to version (individual modules, applications or systems), and using Maven plugins like dependency:tree to analyze dependencies and versions:use-next-snapshots to update versions.
This document provides an introduction to the Apache Maven build tool. It discusses Maven's history and advantages, including its ability to automate builds, manage dependencies, and generate documentation. The core concepts of Maven such as the project object model (POM), plugins, goals, phases, and repositories are explained. Maven allows projects to be easily built, tested, packaged, and documented through the use of a standardized project structure and configuration defined in the POM.
This document describes the Maven release process which involves checking in code, preparing a release by updating POMs and tagging the code, performing the release by deploying artifacts, and rolling back a release if needed. The release:prepare goal updates POMs, runs tests, and commits/tags the code. The release:perform goal checks out the tagged code, runs tests, and deploys artifacts. A single command can prepare and perform the release. Best practices include doing a dry run to simulate SCM operations before an actual release.
This document provides an overview of building Java applications on Heroku and Force.com platforms. It discusses key Heroku concepts like dynos, processes, environment variables, add-ons, logging and scaling. It also demonstrates how to deploy a sample Java app to Heroku using the Eclipse plugin and Maven. Tips are provided on OAuth setup, externalizing sessions using Memcache add-on and collaborating with others. Pricing and enterprise options are mentioned at the end.
This document provides an overview of continuous integration and deployment using Jenkins. It discusses why CI is needed, defines CI and continuous deployment, introduces Jenkins as a popular CI tool, and describes how Jenkins implements distributed builds using a master-slave architecture. Key points covered include how CI provides continuous feedback to developers, how Jenkins integrates various DevOps stages, and how the master schedules jobs and monitors slaves that execute builds.
The document discusses using Maven for automation builds. It covers quick starting a Maven project, the Maven lifecycle and phases, dependency and plugin management, and integrating Maven with IDEs like Eclipse. Key points include how to create a basic Maven project, the different Maven directories, common Maven commands, using the Surefire plugin to run tests, and configuring test dependencies.
Drupal & Continous Integration - SF State Study CaseEmanuele Quinto
HigherEd Drupal Summit @ BADCamp 2011 (http://2011.badcamp.net/higher-education-drupal-summit)
Cal State San Francisco will talk about how they implemented their drupal development cycle process based on continuous integration and QuickBuild.
Kohsuke Kawaguchi, the creator of Jenkins outlines how to secure Jenkins. The webinar is available at:
https://www3.gotomeeting.com/register/250978006
This document provides an overview of how to use Team Foundation Server (TFS) to manage the development lifecycle of SharePoint solutions. It describes how developers can use TFS for source control, work item tracking, building and deploying solutions, running tests, and releasing to staging and production environments. Key aspects covered include integrating Visual Studio projects with TFS, running daily builds, testing using virtual machines, and deploying solutions using WSP packages.
This document discusses Microsoft SharePoint MVP Ayman ElHattab and provides information on several topics related to application lifecycle management (ALM) including governance, development, and operations. It also summarizes the evolution of development tools from the 1970s to present day and highlights key capabilities of Microsoft Team Foundation Server 2010 such as work item tracking, version control, test case management, build management, and lab management.
The document discusses strategies for continuous delivery through parallel development and continuous integration, including maintaining feature branches, release branches, and a main development branch. It also outlines the general development workflow and processes for building, deploying, acceptance testing, releasing, and pushing updates to production through automated deployment. The goal is to enable one-click software updates and releases at any time through establishing testing, integration, and deployment best practices.
This document discusses software testing with Microsoft Test Manager 2012 and Lab Management 2012. It provides an overview of the testing process, including: (1) getting the source and compiling projects, (2) copying the build to the test environment, (3) running deployment scripts on each machine, (4) creating an environment snapshot, (5) executing automated tests, (6) sending test results, (7) publishing results to Team Foundation Server. It also discusses features like virtual machine templates, environment management with System Center Virtual Machine Manager, and capabilities for manual testing, snapshot/restore, sharing bug snapshots, network fencing, and support for 3rd party virtualization and physical machines.
The document discusses using Maven to implement a continuous deployment pipeline. It addresses how to structure Maven projects to support various test stages like integration and acceptance testing in separate modules. It also provides solutions to issues Maven causes, such as rebuilding artifacts unnecessarily and an inability to simulate release versions, through the use of unique versioning and the Versions plugin. Continuous deployment is achieved by running tests and deploying builds from separate modules after each commit.
This document discusses techniques for continuous integration and deployment using Hudson. It recommends using Hudson to automate the build, testing and deployment process. This allows for faster feedback, better visibility and automated delivery. It describes how to use various Hudson plugins to implement continuous integration practices like automatic builds, testing, code quality metrics, notifications and promoting builds through test, UAT and production environments. The goal is to deploy code changes into production automatically through a continuous deployment pipeline.
Maven is an open source build automation tool used primarily for Java projects to manage builds, documentation, dependencies, and reports. It uses a project object model (POM) file to manage build configuration and dependencies. Maven has defined build lifecycles consisting of phases that execute plugin goals. It provides standard project layout and dependency management. Maven searches dependencies in local, central, and remote repositories. Build profiles allow customizing builds for different environments. Plugins are used to perform tasks like compiling, testing, packaging, and generating documentation.
Kishore Reddy has over 6 years of experience in DevOps engineering using tools like Ansible, Chef, and Puppet for configuration management, version control, and build automation. He has extensive experience setting up OpenStack and Amazon Web Services environments and deploying applications to servers like Tomcat and JBoss. He is proficient in writing scripts, creating Ansible roles/playbooks, and automating deployments through Jenkins.
This document provides an overview of Continuous Delivery with Jenkins Workflow. It discusses what Jenkins Workflow is, how to create and edit workflows using the Jenkins graphical interface or external scripts. It also covers integrating tools, controlling workflow flows, script security, and ways to scale workflows using features like checkpoints. The document includes a sample continuous delivery pipeline workflow example and discusses how to extend Jenkins Workflow through plugins.
This document discusses best practices for software version management in Maven. It covers what software versioning is, how Maven can help through plugins like the Maven release plugin, and tips for organizing Maven modules and versions. Key recommendations include using the Maven release plugin to manage releases, determining what scope to version (individual modules, applications or systems), and using Maven plugins like dependency:tree to analyze dependencies and versions:use-next-snapshots to update versions.
This document provides an introduction to the Apache Maven build tool. It discusses Maven's history and advantages, including its ability to automate builds, manage dependencies, and generate documentation. The core concepts of Maven such as the project object model (POM), plugins, goals, phases, and repositories are explained. Maven allows projects to be easily built, tested, packaged, and documented through the use of a standardized project structure and configuration defined in the POM.
This document describes the Maven release process which involves checking in code, preparing a release by updating POMs and tagging the code, performing the release by deploying artifacts, and rolling back a release if needed. The release:prepare goal updates POMs, runs tests, and commits/tags the code. The release:perform goal checks out the tagged code, runs tests, and deploys artifacts. A single command can prepare and perform the release. Best practices include doing a dry run to simulate SCM operations before an actual release.
This document provides an overview of building Java applications on Heroku and Force.com platforms. It discusses key Heroku concepts like dynos, processes, environment variables, add-ons, logging and scaling. It also demonstrates how to deploy a sample Java app to Heroku using the Eclipse plugin and Maven. Tips are provided on OAuth setup, externalizing sessions using Memcache add-on and collaborating with others. Pricing and enterprise options are mentioned at the end.
This document provides an overview of continuous integration and deployment using Jenkins. It discusses why CI is needed, defines CI and continuous deployment, introduces Jenkins as a popular CI tool, and describes how Jenkins implements distributed builds using a master-slave architecture. Key points covered include how CI provides continuous feedback to developers, how Jenkins integrates various DevOps stages, and how the master schedules jobs and monitors slaves that execute builds.
The document discusses using Maven for automation builds. It covers quick starting a Maven project, the Maven lifecycle and phases, dependency and plugin management, and integrating Maven with IDEs like Eclipse. Key points include how to create a basic Maven project, the different Maven directories, common Maven commands, using the Surefire plugin to run tests, and configuring test dependencies.
Drupal & Continous Integration - SF State Study CaseEmanuele Quinto
HigherEd Drupal Summit @ BADCamp 2011 (http://2011.badcamp.net/higher-education-drupal-summit)
Cal State San Francisco will talk about how they implemented their drupal development cycle process based on continuous integration and QuickBuild.
Kohsuke Kawaguchi, the creator of Jenkins outlines how to secure Jenkins. The webinar is available at:
https://www3.gotomeeting.com/register/250978006
This document provides an overview of how to use Team Foundation Server (TFS) to manage the development lifecycle of SharePoint solutions. It describes how developers can use TFS for source control, work item tracking, building and deploying solutions, running tests, and releasing to staging and production environments. Key aspects covered include integrating Visual Studio projects with TFS, running daily builds, testing using virtual machines, and deploying solutions using WSP packages.
This document discusses Microsoft SharePoint MVP Ayman ElHattab and provides information on several topics related to application lifecycle management (ALM) including governance, development, and operations. It also summarizes the evolution of development tools from the 1970s to present day and highlights key capabilities of Microsoft Team Foundation Server 2010 such as work item tracking, version control, test case management, build management, and lab management.
In 2010, Microsoft released a bold new featureset to support management of virtual test environments. "Lab Management" provided the ability to easily spin up test environments, perform automated build and deployments, run automated tests, and collect diagnostic data. Unfortunately, many teams were discouraged by the infrastructure requirements. Now, with Visual Studio 2012 and standard environments, even small teams or groups that can't use Microsoft's Hyper-V can still benefit from lab management. This session will demonstrate how to configure your existing environments for many of the same compelling features formally available only with Hyper-V.
Att lyckas med integration av arbetet från flera scrum team - Christophe Acho...manssandstrom
This document discusses strategies for integrating work from multiple Scrum teams. It outlines the role of an integration team in continuously integrating work. Key success factors for the integration team include: integrating work early, having the necessary resources and environments, practicing continuous integration, using automated tests, maintaining at least two test environments, performing early performance tests, stopping work if integration breaks, having a clear contract between development and integration teams, making the integration process and status visible.
Vagrant is a tool for building and managing virtual machine environments. It allows users to create and configure VMs, provision them with automation scripts, and collaborate by sharing the same development environment. Using Vagrant provides benefits like isolation, repeatability, and testing DevOps scripts locally. It also encourages DevOps practices by allowing developers to develop and test infrastructure code in a VM similarly to production.
Visual Studio 2010: A Perspective - David ChappellSpiffy
Visual Studio 2010 provides an integrated set of tools for software development teams. It includes tools for managing requirements, architecting solutions, writing code, testing, and managing projects. The tools work together through integration with Microsoft Team Foundation Server and support the full development lifecycle from requirements through deployment.
Big Gains With Little Virtual Machines Sumeet MehraJay Leone
VMware Lab Manager is a solution for managing virtual machine configurations for development and testing environments. It allows users to access a shared library of pre-configured virtual machine configurations. Copies of these configurations can be instantly provisioned using a fraction of the normal storage. Identical copies can run simultaneously on the lab network. An easy to use web portal provides access to the library and resources can be controlled through quotas and leases. Lab Manager helps consolidate infrastructure, reduce costs, and improve provisioning times for tasks like software development, testing, training and demos.
Leveraging Azure for Performance TestingTarun Arora
Working with various clients in the industry I have realized that the biggest barrier in Load Testing & Performance Testing adoption is the high infrastructure and administration cost that comes with this phase of testing.
I will present an approach using Visual Studio and Windows Azure to effectively abstract the administration cost of infrastructure management and lower the total cost of Load & Performance Testing. This should hopefully help you leverage Windows Azure for Performance Testing your applications.
This document discusses testing capabilities in Visual Studio 2010, including test case management, lab management, exploratory testing, and coded UI testing. It highlights how Visual Studio 2010 aims to align testing with the development lifecycle and enable tighter collaboration between developers and testers. Key capabilities like test case management allow tracking test cases as work items in Team Foundation Server, while lab management helps simplify environment setup and improves test hardware utilization.
Releasing fast code - The DevOps approachMichael Kopp
Agile makes you Develop faster, DevOps also makes you Deploy faster but how do you make your Application faster?
Many currently used Performance Management practices don’t work anymore as they are too time consuming. It takes a new approach to track performance in Continuous Integration, get more value out of Load Testing and leverage production data for performance optimization.
We will show you real world examples on how the new DevOps approach can work.
XebiaLabs, CloudBees, Puppet Labs Webinar Slides - IT Automation for the Mode...XebiaLabs
Learn how you can enhance and extend your existing infrastructure to create an automated, end-to-end IT platform supporting on-demand middleware and application environments, application release pipelines, Continuous Delivery, Private/ hybrid development platform and PaaS and more.
Virtualize and automate your development environment for fun and profitAndreas Heim
The document discusses using Vagrant to virtualize and automate development environments. Vagrant allows developers to create identical virtual environments that match production. This ensures environments are the same across operating systems and developers. Vagrant uses automation tools like Chef and Puppet to configure environments. It addresses challenges like different dependency versions and allows quick resets. It advocates treating environments as code to make them documented, versioned and easily shared.
This document summarizes an IT solutions company called Electric Cloud. It discusses:
1. The company was founded in 2002 and has grown to 90 employees, shipping products since 2004 and being cash flow positive and ahead of operating plan.
2. Electric Cloud's vision is to lead the market for Software Production Management solutions to remove software production bottlenecks and increase productivity up to 15 times.
3. Electric Cloud's solutions include ElectricCommander to automate processes, ElectricAccelerator to accelerate builds up to 20 times faster, and ElectricInsight for analytics.
The document describes RelayHealth's build and deployment system for a large codebase with over 7 million lines of code maintained by 12 development teams. It outlines the development life cycle which includes daily commits by developers, automated builds and testing, and weekly deployments to test and production environments. The automated build system utilizes CruiseControl.NET to continuously build releases from the code repository, run tests, and promote "green" builds to the test system. Deployments are managed through branching in the code repository and involve building, testing, and deploying code to stage and production environments without downtime. Planned changes include migrating to Team Foundation Server and tools for continuous integration and deployment.
If you are building a commercial Force.com app with a team of developers, this session is for you. Join us to learn best practices for setting up your Force.com IDE, managing source code, creating automated builds, deploying to test environments, and more. Hear from a panel of seasoned ISVs who are employing key team development principles. This session is primarily for product managers, architects, and developers (isvpartners).
Presentation on Mobile DevOps. Presented at MoDevTablet conference on Sept. 14th. Focuses on:
- What is DevOps?
- What are the challenges of DevOps for Mobile?
- Best practices for Mobile DevOps
Blog post: https://sdarchitect.wordpress.com/2012/09/15/slides-for-my-presentation-on-mobile-devops/
Continuous Delivery refers to the process of releasing high quality software quickly and with confidence through the use of build, test and deployment automation. By applying Lean techniques to the development, test and deployment of software, waste is reduced and staff are freed up to work on more important tasks. By following a continuous delivery model, release cycles shift from a matter of months to weeks or days.
In this presentation, we will look at the key tools and processes involved in transitioning from a manual culture to one that embraces automation. We will look at real world examples, including the tools and architectural components. We will discuss organizational impacts, including the dramatic improvements in morale as team delivery commitments are met more easily through automation.
Testmanagement mit Visual Studio 2013 / CodedUI / Neues aus der Produktgruppe...Nico Orschel
Talk @ Microsoft Testing Infoday, Hamburg
Agenda:
- Test management and execution with TFS WebAccess
- CodedUI test automation
- News from the product group
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
4. You can’t fix
Testers find bugs but may be
unable to document them in
what you can’t
sufficient detail so that they can
be acted upon by developers.
reproduce .
“If it can’t happen twice, it didn’t
happen once” - James (my mechanic)
Developers may not have access to the only
environment in which a bug can be isolated.
5. Allow testers to create bugs that contain “actionable”
information.
Allow developers the ability to “Make it happen the
second time”
Give developers access to the test environment at the
point the bug was encountered.
6. Test Case (for
repro steps)
Screenshot
Video Capture
System Info
Debug Log
Test
Environment
Log
Action
Recording
7. Pre-Prod environment
Web Web DB
UAT Server Server Cluster Release
Manager
QA environment
Dev environment
Web DB
Web + DB
Server Server
Server
Build environment
Web DB
Server Server
Tester
Devs
15. Team Foundation Server
(TFS) System Center Virtual
Lab Management Machine Manager
Test Case management
Hyper-V Hosts Library Shares
Build management
VM1 LS1
Work Item Tracking
VM2 LS2
Source Control VMn LSn
17
16. Team Foundation Server
System Center
Lab Management Virtual Machine Manager
Test
Test Case Management Controller
Build Management Hyper-V host Library Share
VM1 Stored Virtual
Source Control Machine
Lab agent
Work Item Tracking Test Agent Stored Virtual
Stored Virtual
Stored Virtual 2
Machine
Machine 2
Build Environment
Build agent
Controller
Client: Client:
Test Manager Visual Studio
Build agent for
Compilation
22. No more waiting for build setup
• Revert to a ‘known’ state in minutes
• Predictable multi-machine application deployment
• Know build quality before investing in further testing
No more wasteful testing
• Prioritize test cases based on code changes
No more no repro
• Environment snapshots, Intellitrace and other collectors capture exact state of problem
23. Allow Testers to capture bugs the first time they happen
Document the hell out of a bug so that even a Developer
can fix it
Use Rich Bug data (Intellitrace, Video, Action Logs,
Snapshot Environments) to find and fix the root cause
Create tests that prove the bug is gone