TFS or Team Foundation Service?

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Gian Maria Ricci

Little presentation about pro and cons of using Team Foundation Service (TFS on azure at http://tfs.visualstudio.com)

Technology

Cost is not zero

Keep skills
People training updated

Disaster
Maintenance recovery

TFS is a
complete ALM
Solution
Work Item
Testing Tools Tracking

Build Machine Source control

Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.

Technical Essentials (Official AWS)

Stephan Marais

Payroll and cloud platforms: What employers need to know (and why employees l...

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Technical and digital advancements have transformed our workplaces. Huge cost and time savings can be made by using the right technology. Lost files, corrupt USB keys and complicated excel spreadsheets can be a thing of the past. This webinar busts the myth that employee related technology is only for the big employer. Cloud technology is here and it can easily compliment any SME workplace. We take a look at exactly how you can manage your employee administration with cloud technology. For more information or to book a demo visit https://www.thesaurus.ie

Executing Migrations at the Speed of Light How to Maximise Your Velocity - AW...

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Learn the techniques and tools you can apply to ensure that you achieve maximum velocity on your AWS Migration. Discover how to structure your resources into proficient "Migration Specialist Teams" and execute your sprint plans to fully accelerate the AWS migration. We will demonstrate how to leverage automation in CloudEndure to enable the replication of data from multiple machines. The demo will cover configuring the initial replication, cutting over the migration groups in parallel, as well as running any post-migration scripts at scale.

certificate (2)

Rhys Davies

certificate (1)

Rhys Davies

certificate

Rhys Davies

The document discusses automating build and release processes in Azure DevOps. It recommends treating packaging and release as repetitive, traceable processes done by anyone. Key steps include: 1) Using scripts to automate builds locally with tools like PowerShell, Cake, or MSBuild. 2) Creating release builds that produce everything needed for release, like publishing sites, packaging resources, and compiling code. 3) Defining a release process in Azure DevOps that specifies builds, environments, and manages artifacts and auditing for releases. 4) Starting with manual checklists and scripts for releases, then gradually automating more tasks to reduce errors and improve reliability.

Gestire i rilasci automatici con azure devops

Gian Maria Ricci

This document discusses managing automatic releases with Azure DevOps. It recommends starting with manual package and release processes to create documentation before automating repetitive tasks. When automating, configurations should be stored and managed separately from code. Pipelines should be defined in code using YAML for easy editing and maintenance. The document demonstrates multi-stage build and release pipelines in YAML and mentions future improvements for container and Kubernetes support. Overall it provides guidance for establishing a manual-to-automated DevOps cycle for continuous delivery using Azure DevOps.

Build and release in code with azure devops pipelines

Gian Maria Ricci

Azure Pipeline in salsa yaml

Gian Maria Ricci

This document discusses Azure Pipelines and common misconceptions about it. It notes that Azure Pipelines can be used for both cloud and on-premises workloads, not just Microsoft technologies, and that maintaining agents is simplified. The document traces the history of Azure Pipelines and its predecessors. It promotes the benefits of defining pipelines in YAML, including storing them in source control, easy copying between repos, and support in Visual Studio Code. Future improvements may include multi-stage pipelines and releasing directly to environments using YAML.

Git gitflow pull requests in devops focused teams

Gian Maria Ricci

Distribute your code with NUget and build vNext

Gian Maria Ricci

This document discusses semantic versioning, GitFlow branching model, and how to automate versioning and packaging of code using GitVersion, NuGet, and Chocolatey. It recommends: - Using semantic versioning (MAJOR, MINOR, PATCH) to manage versions in a Git repository. - Implementing GitFlow branching model with main branches for development (develop) and releases (master). - Leveraging GitVersion tool to determine semantic versions based on branches and commits. - Automating builds to modify version numbers, compile code, run tests, create NuGet packages, and publish packages. - Packaging and distributing applications using Chocolatey by creating NuGet packages containing

Manage your environment with DSC

Gian Maria Ricci

The document discusses using PowerShell Desired State Configuration (DSC) to automate the deployment and management of environments. It describes how DSC can be used to specify the desired state of an environment and have PowerShell work to ensure the actual state matches that desired configuration. This involves authoring DSC configurations that define resources and their desired properties, then applying those configurations to automatically install software, configure systems, and ensure services are running as specified. The document provides examples of using DSC to deploy a website along with its database components in a multi-step process.

Introduction to Application insights

Gian Maria Ricci

This document discusses Application Insights, a service that provides automatic instrumentation of applications to monitor application health and performance. It provides an overview of logging benefits, costs of logging, and how Application Insights addresses these. The document outlines how Application Insights can instrument applications automatically or with custom logging, and demonstrates setting up synthetic monitors and custom logging.

Git branching model

Gian Maria Ricci

Deploy applications with TFS Build

Gian Maria Ricci

This document discusses how to deploy .NET applications with TFS Build including: - Deploying web applications to Azure or IIS using TFS build and Azure publishing - Deploying SQL Server databases using database projects - Deploying click-once applications and NuGet packages from TFS builds It provides demonstrations of deploying to Azure, IIS, databases, and publishing NuGet packages and emphasizes the value of continuous deployment and testing for fast failure detection.

TFS - Quale source control

Gian Maria Ricci

Branch model in Git

Gian Maria Ricci

Introduction to Visual Studio Online

Gian Maria Ricci

The document discusses the advantages of using Microsoft's Team Foundation Server (TFS) Service for application lifecycle management (ALM) in the cloud. It notes that TFS Service provides high availability, easy upgrades, and lower operational costs compared to an on-premise TFS solution. Additionally, TFS Service offers source control, work item tracking, build servers, testing tools, release management capabilities, and Application Insights out of the box as a complete ALM solution. The document recommends being prepared to choose between TFS Service or an on-premise TFS based on individual needs and priorities.

Git si o Git No

Gian Maria Ricci

Testing

Gian Maria Ricci

Come Organizzare il proprio Team Project

Gian Maria Ricci

The document discusses strategies for organizing team projects in Team Foundation Server (TFS). It describes the structure of TFS including project collections, team projects, and teams. It notes that many teams struggle to choose the right strategy for organizing team projects. The document then examines the pros and cons of using a single team project versus multiple team projects to organize teams and backlogs. It demonstrates in TFS 2012 how to manage teams and backlogs. While a single team project can provide consolidation, it warns of disadvantages like reduced security and process template flexibility compared to using multiple team projects.

Git Perchè Usarlo

Gian Maria Ricci

The document appears to be a presentation about using Git for source control management. It discusses why developers should use Git and the mind shift required compared to other systems like TFVC. It also covers some of Git's capabilities like branching and its ability to act as a bridge between different version control systems. The presentation encourages attendees to try out Git themselves to see if it is a good fit for their team.

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Safe Software

Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack

shyamraj55

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20240607 QFM018 Elixir Reading List May 2024

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panagenda

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Main news related to the CCS TSI 2023 (2023/1695)

Jakub Marek

An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers. The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 . The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .

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ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune. Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile. BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).

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5th LF Energy Power Grid Model Meet-up Slides

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HCL Notes and Domino License Cost Reduction in the World of DLAU

panagenda

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/ Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing. van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.

Presentation of the OECD Artificial Intelligence Review of Germany

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