Infrastructure as Code represents treating infrastructure components like software that can be version controlled, tested, and deployed. The document discusses tools and techniques for implementing Infrastructure as Code including using version control, continuous integration/delivery, configuration automation, and virtual labs for testing changes. It provides examples of workflows using these techniques and recommends starting small and evolving Infrastructure as Code practices over time.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
An inroduction to Terraform, a tool that helps you deploy and change your infrastructure as code. Given at Rencontres Mondiales du Logiciel libre (RMLL) 2017
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
This presentation starts with an introduction to the rationale behind automated deployments in Continuous Delivery and DevOps. Then, I compare agent-based architectures, such as Chef and Puppet with the agentless architecture of the server orchestration engine Ansible. The presentation concludes with an automated deployment of Dynatrace into a simulated production environment.
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Best Practices of Infrastructure as Code with TerraformDevOps.com
When your organization is moving to cloud, the infrastructure layer transitions from running dedicated servers at limited scale to a dynamic environment, where you can easily adjust to growing demand by spinning up thousands of servers and scaling them down when not in use.
The future of DevOps is infrastructure as code. Infrastructure as code supports the growth of infrastructure and provisioning requests. It treats infrastructure as software: code that can be re-used, tested, automated and version controlled. HashiCorp Terraform adopts infrastructure as code throughout its tool to prevent configuration drift, manage immutable infrastructure and much more!
Join this webinar to learn why Infrastructure as Code is the answer to managing large scale, distributed systems and service-oriented architectures. We will cover key use cases, a demo of how to use Infrastructure as Code to provision your infrastructure and more:
Agenda:
Intro to Infrastructure as Code: Challenges & Use cases
Writing Infrastructure as Code with Terraform
Collaborating with Teams on Infrastructure
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
As part of this presentation we covered basics of Terraform which is Infrastructure as code. It will helps to Devops teams to start with Terraform.
This document will be helpful for the development who wants to understand infrastructure as code concepts and if they want to understand the usability of terrform
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
Are you looking to automate your infrastructure but not sure where to start? View this presentation on ‘Getting started with Infrastructure as code’ to learn how to leverage IaC to deploy and manage resources on Azure. You will learn:
• Introduction to IaC
• Develop a simple IaC using Terraform
• Manage the deployed infrastructure using Terraform
View webinar recording at https://www.winwire.com/webinars
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
This presentation starts with an introduction to the rationale behind automated deployments in Continuous Delivery and DevOps. Then, I compare agent-based architectures, such as Chef and Puppet with the agentless architecture of the server orchestration engine Ansible. The presentation concludes with an automated deployment of Dynatrace into a simulated production environment.
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Best Practices of Infrastructure as Code with TerraformDevOps.com
When your organization is moving to cloud, the infrastructure layer transitions from running dedicated servers at limited scale to a dynamic environment, where you can easily adjust to growing demand by spinning up thousands of servers and scaling them down when not in use.
The future of DevOps is infrastructure as code. Infrastructure as code supports the growth of infrastructure and provisioning requests. It treats infrastructure as software: code that can be re-used, tested, automated and version controlled. HashiCorp Terraform adopts infrastructure as code throughout its tool to prevent configuration drift, manage immutable infrastructure and much more!
Join this webinar to learn why Infrastructure as Code is the answer to managing large scale, distributed systems and service-oriented architectures. We will cover key use cases, a demo of how to use Infrastructure as Code to provision your infrastructure and more:
Agenda:
Intro to Infrastructure as Code: Challenges & Use cases
Writing Infrastructure as Code with Terraform
Collaborating with Teams on Infrastructure
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
As part of this presentation we covered basics of Terraform which is Infrastructure as code. It will helps to Devops teams to start with Terraform.
This document will be helpful for the development who wants to understand infrastructure as code concepts and if they want to understand the usability of terrform
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
Infrastructure as Code: Manage your Architecture with GitDanilo Poccia
With the AWS Cloud you have an on-demand, programmable infrastructure that you can manage using tools and practices from software development. You can create resources when you need and dispose of them when you don’t. Using Amazon CloudFormation you can describe your architecture in text files. To change your infrastructure, you edit those files. Having application and infrastructure code in a single, robust, versioned repository like Git gives a lot of advantages. Using AWS Elastic Beanstalk you can link your Git branches to different infrastructure environments (e.g. test, production) and automate deployments. You can create test environments on-demand, even for a short time. Instead of continuously update your resources, you can recreate them quickly from scratch, simplifying lifecycle management and making deployments immutable. As a result, you have more time to focus on the unique features of your application.
Today, the development and operations landscape has shifted to a more collaborative model merging the two (DevOps). Developers need to know much more about the operational components of their software - especially around network programming, services development, and continuous deployment. Likewise, the developer's IT counterpart needs to know much more about development - especially around infrastructure automation (Chef/Puppet), automated testing, and continuous deployment.
While many organizations have started to automate their software develop processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
Stay Ahead of the Mobile and Web Testing Maturity CurveJosiah Renaudin
Join Danny McKeown, Paychex’s lead test enterprise automation architect, to learn how to climb the testing maturity curve and increase predictability and reuse, all while accelerating repeatable and reliable testing. Learn how Paychex iteratively built a well-defined web and mobile app test automation architecture. By evolving the areas of strategy, environment pre-conditions, continuous integration, and understanding their IT users, Paychex executes a mature program automating test readiness, scheduling, execution, and report distribution. Hear their lessons about strategy, and how the Test Automation Pyramid helps structure their automation architecture. Discover their environment pre-conditions, and how they are able to minimize false negative results (derailment factors) due to non-automation issues. See how Paychex uses continuous integration to bring it all together in an integrated, scalable, and parallel execution. Danny discusses lessons learned about their IT Users and how defining user test automation abilities enables better expectations for the user and project team.
Supercharge your Test & Dev Process with Ravello, Jenkins and the Cloud (Jenk...Gil Hoffer
Video at: https://www.youtube.com/watch?v=2IEuk1aIAUU
Slides from our session at the Jenkins User Conference 2013 (Israel) in which I described how we at Ravello Systems (http://www.ravellosystems.com) use Jenkins and the cloud to supercharge our development process. As part of this, we will cover the usage of Jenkins for continuous integration on multiple exact replicas of multi-VM production applications, with no resource contention! We will show the usage of Jenkins by our development, QA, Operations and PM teams, which all utilize the cloud and Jenkins to the extreme.
We'll discover the reasons why it is a risky bet to not *aim* to manage infrastructure and its configuration with idempotence and immutability at heart.
Sharing real world experience, we'll see why configurations should not be done by humans (it's like playing Djenga), and why what may work at the beginning does not work over a long period of time or scale (pet vs cattle problem).
Implementing Infrastructure as Code ConfigMgtCamp 2017Kief Morris
Run-through of key patterns and approaches for applying software engineering practices and microservice design to infrastructure.
Infrastructure as Code is the "A" (Automation) in the "CAMS" model for DevOps.
Many AWS customers have adopted a DevOps model for faster and more reliable software delivery. Applying software engineering best practices such as revision control and continuous delivery to your infrastructure is essential for adopting DevOps. In this session, find out how CloudFormation and associated AWS tools allow you to leverage a DevOps model by treating infrastructure as code and applying software engineering best practices to your AWS infrastructure.
Infrastructure as Code Maturity Model v1Gary Stafford
Systematically Evolving an Organization’s Infrastructure . The original version of the IaC Maturity Model. See the latest version here: https://www.slideshare.net/garystafford/how-mature-is-your-infrastructure.
SDN in the Management Plane: OpenConfig and Streaming TelemetryAnees Shaikh
The networking industry has made good progress in the last few years on developing programmable interfaces and protocols for the control plane to enable a more dynamic and efficient infrastructure. Despite this progress, some parts of networking risk being left behind, most notably network management and configuration. The state-of-the-art in network management remains relegated to proprietary device interfaces (e.g., CLIs), imperative, incremental configuration, and lack of meaningful abstractions.
We propose a framework for network configuration guided by software-defined networking principles, with a focus on developing common models of network devices, and common languages to describe network structure and policies. We also propose a publish/subscribe framework for next generation network telemetry, focused on streaming structured data from network elements themselves.
SCM Transformation Challenges and How to Overcome ThemCompuware
If your enterprise is focused on continuously improving quality, velocity and efficiency, you’re going to win against those that aren’t. Driving improvements on the mainframe, and in turn throughout the business, requires the transformation of three things: culture, processes and tools. In other words, changing mindsets, implementing modern practices (Agile, DevOps, CI/CD) and replacing outdated technology.
Mainframe source code management is currently a critical area in need of modernization and should be one of the initial tooling changes organizations make when setting out to improve mainframe systems delivery.
During this session, Compuware specialist Lars-Erik Berglund shares the challenges organizations face with mainframe source code management and what you can do to overcome those.
Continuous Integration to Shift Left Testing Across the Enterprise StackDevOps.com
With the move to agile DevOps, automated testing is a critical function to ensure high quality in continuous deployments.
In this session, learn how to start testing earlier and often to ensure quality in your codebase. Join Architect Suman Gopinath and Offering Manager Korinne Alpers to talk about shifting-left in the development cycle, starting with unit testing as a key aspect of continuous integration. You'll view a demo of the latest zUnit unit testing tooling for CICS Db2 applications, as well as hear best practices and tales from the testing trenches.
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.
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...OlyaSurits
Cloud native applications can benefit greatly from end-to-end testing before deployment, but integration testing of microservices is often discouraged because it's costly and difficult.
This talk proposes a modern blueprint for cloud native application testing, focusing on pre-production testing and in particular integration testing. Topics discussed include how to handle common challenges with end-to-end and integration testing, such as:
Dealing with state
How to speed up tests runs for improved developer feedback loops
How to test the configuration of a whole system in the era of Infrastructure-as-Code
We will also discuss other types of testing (such as testing in production), and pre-production workarounds often used as an alternative to integration testing (such as contract testing and test doubles), evaluating the pros and cons of each approach, and how they can complement each other.
Intro to GitOps with Weave GitOps, Flagger and LinkerdWeaveworks
You may not think of "GitOps" and "service mesh" together – but maybe you should! These two wildly different technologies are each enormously capable independently, and combined they deliver far more than the sum of their parts: a single Git commit can control workflows customized for your exact situation by taking advantage of the service mesh's ability to measure and manipulate traffic anywhere in your application's call graph, and you can rest easy knowing that Git is preserving the complete configuration for your entire application every step of the way.
See how these technologies can work together to tackle complex problems in cloud-native applications.
What you’ll get out of this:
* Understand what GitOps and service meshes can - and can't - do for you.
* Understand basic operations with GitOps and Linkerd.
* Understand the basics of continuous deployment with Weave GitOps and Linkerd.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
DevOps Fest 2020. Kohsuke Kawaguchi. GitOps, Jenkins X & the Future of CI/CDDevOps_Fest
CI/CD process has been something your DevOps engineer purpose-built for your team. But with Kubernetes & cloud-native, that’s becoming “legacy.” The rising level of platform abstraction allows all the good practices that the industry has developed over time to be integrated, hidden, and simplified behind just one practice called “GitOps.” That simplified world is what Jenkins X enables.
We will discuss GitOps, Jenkins X, and how that combination drastically simplifies cloud-native web app development. You’ll understand why traditional DevOps is not suitable in a Kubernetes and cloud-native world, explore GitOps principles and discover how they facilitate high-velocity app development.
And finally, Kohsuke will make a fool of himself by talking about the future — now that Jenkins X simplifies the CD process, where is the next frontier?
Continuous Localisation On A Massive ScaleGary Lefman
A crisis is brewing. There are hundreds of products to localise, and this number is growing rapidly. How does a small and efficient localisation team cope with increasing demand while keeping costs low and improving quality? In this session, Gary describes how an engineering team achieved this by taking automation to the next level with continuous localisation. You’ll get a technical deep dive into tools and techniques used to achieve near instantaneous translation in the hybrid cloud. This is a journey where you will learn about the challenges endured and overcome in the ballsy determination to localise an unlimited number of products.
Guide to continuous delivery and the journey wix.com had made transitioning to DevOps and continuous delivery culture making ~100 production changes daily
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anyt...Janusz Nowak
Continues Integration and Continuous Delivery with Azure DevOps - Deploy Anything to Anywhere with Azure DevOps
Janusz Nowak
@jnowwwak
https://www.linkedin.com/in/janono
https://github.com/janusznowak
https://blog.janono.pl
Do you want a deep dive into the dev/test portion of DevOps and application lifecycle management (ALM)?
Do you want an overview of unit testing, functional UI testing and load testing?
Do you want to learn about continuous deployment?
Do you want to walk through how testers ensure that business value is delivered?
This session is for you.
Presents the current state and proposed state for Application lifecycle of Liferay Applications. Introduces DevOps concepts and explains how they can be applied to Liferay application. Also includes Ansible scripts for deployment Automation.
Similar to Infrastructure as Code for Network (20)
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
4. Infrastructure as code represent the idea
that everything needed to run an
infrastructure can be consider as
Software
and as such can
leverage development technics for
Collaboration, Deployment and
Continuous Integration.
7. CI/CD Pipeline for Software Development
Code Build Test Deploy Monitor
Dev
CI
Continuous Integration
CD
Continuous
Deployment
8. What is the impact ?
• Customers who embraced this
new way of building infrastructure for servers observed:
200x
more
frequent
deployment
24x
faster
recovery
from failure
3x
lower
change
failure
rate
2.5x
Shorter
lead time
Source: 2016 State of Devops Report (from puppet)
9. Infrastructure as Code
is about
Operation Efficiency
Who is not interested to
operate the network more efficiently ?
10. Fall 2016 NetDevOps Survey
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
No interest Thinking about it Evaluating In Production
18% are already in production
60% are thinking about it or evaluating it
Infrastructure as code
12. Version Control
Virtual Lab
Master
Feature B
Looks good
please can you
add description
Done
Approved
Approved
Virtual Lab
1 – Create virtual topology
2 – Deploy new configurations
3 – Run all tests
Report tests
result
Pull Request
Example of workflow
Production
Configuration store in
version control
New branch for each
modification
1
2
Pull request for each
modification
3
Review process as
part of pull request
Automated test as
part of pull request
4
5
Delete virtual env
once report is
available
6
Deploy in production
when pull request is
merged
7
Deploy
Validate
13. Infrastructure as Code is a Journey
• There is not only one story for Infrastructure as
Code
• All aspects may or may not be present
• Only Change control is mandatory
Start small and evolve from there
14. Infrastructure as Code is a Journey
Infrastructure as Code
Network
Continuous Delivery
Automated
Deployment
Generate and deploy
configuration
automatically
Run continuous tests in
your network to identify
issue as quickly as
possible
Test/Validate your
changes
before deploying them
in production
15. Change
Control
Version control
Review process
Virtual Lab
Build Virtual Lab on
demand
Test
Test network device
status
Continuous
integration
Telemetry
Collect,
Visualize and
Correlate
Config
Automation
Templatize and
automate
configuration
Event
Driven
Actively monitor
events
Infra
As
Code
Infrastructure as code / Building Block
Mandatory
16. Compelling for all customers
Change Control
Virtual Lab
Test
Telemetry
Config Automation
Event Driven
Conservative Early Adopter
20. Fall 2016 NetDevOps Survey
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
No interest Thinking about it Evaluating In Production
60% are already in production
34% are thinking about it or evaluating it
Git
21. Change Control - fundamentals
Github or Gitlab
Master
Feature B
Looks good please
can you add
description
Done
Approved
Approved
Pull Request
Branch Master always represent what is
deployed in production.
Every change must be proposed
using a Pull Request
Change can be discussed and adjusted
before being merged
26. Continuous Integration
Travis-CI External tools that will execute some
tests for EACH change/commit:
1. Download the project
2. Setup Environment
3. Run tests
4. Report results in Github/GitlabGitlab-CI
27. Gitlab-CI – setup
stages:
- test
- deploy
before_script:
- pip install -r requirements.txt
- pip install -q ansible
generate_config:
stage: test
script:
- ansible-playbook pb.generate.config.yaml
deploy_config:
stage: deploy
script:
- ansible-playbook pb.conf.all.commit.yaml
.gitlab-ci.yaml• Configuration defined
inside the project with a
config file (.gitlab.yaml)
• Can define a pipeline of
stages and actions for
each stage
• Some stages can be
applicable to some
branches only
28. Validate
Deploy
Gitlab-CI – Infrastructure as Code Pipeline
Test
Build
• Validate new configurations on physical lab or
virtual lab
• Validate that network is behaving properly
after new configurations have been deployed
• Deploy New configurations in production
environment
• Create new configurations, make sure
Branch
Master
Only
30. Configuration
Generation Project
Configuration Generation Project
• A project to generate
configurations is
mainly composed of :
– Templates
– Variables
– Scripts/Playbooks
Templates Variables
junos-system.j2
bgp.j2
Acl.j2
Interfaces name
Device names
Mgmt IP
IP addresses
Etc ..
Scripts
Playbooks
deploy_config
check_connectivity
31. 1 project – multiple environments
Lab Production
• Between environments, templates
are shared but some variables and
playbooks can be different
• Everything need to be tested and if
there are too many environment
specific variables, the chance to
not find a bug increase.
Configuration
Generation
Project
Shared Templates
Lab Vars Prod VarsShared Var
Lab Pbs Prod PbsShared Playbooks
32. Topology Independent w/ Ansible
• Topology file name defined in the
inventory file under the variable
“topology_file
• File loaded with pre_tasks in each
playbook
hosts.ini
Playbooks
33. Topology Independent w/ Ansible
• Centralize information related
to physical topology
• Access these information
from other files by using
variable name
sample-topology.yaml
host_vars/fabric-01/underlay.yaml
36. The VMs itself is not enough
On-Premise
Cloud
When building a virtual lab for testing,
the VM itself is not enough.
We need to have a solution to :
• Create the topology, L1/L2 links
• Spin up and down devices,
• Configure devices etc …
• Assign IP addresses
Ravello System
Vagrant
37. What is Vagrant ?
A tool for building and distributing
virtualized environment
Open Source and modular
Vagrantfile
Define what type of VM/Box
Define the physical topology
Vagrantcloud
Automatic download
Provisioning
OpenStackHypervisor
VM App Store
38. Ravello System
• Layer 2 ‘data-center-like’ networking
• Easy replication through Blueprint
• Public IP for all VMs
• Isolated Networking
• Self-service & on-demand access
• Unlimited capacity
• Usage based pricing
• Scalable
• Robust REST APIs
Cloud Based
Virtual Lab
Oracle Cloud
Google Compute Engine
AWS
39. Ravello - Automation
• Automate creation / deployment of virtual topologies
on Ravello using Ansible
• Open Source library developed by Juniper
https://github.com/Juniper/ravello-ansible
41. Demo / topology
spine-01 spine-02
leaf-01 leaf-02 leaf-03 leaf-04
• Physical network based on
Spine/Leaf topology
• Each device has a unique ASN
• eBGP between all members
• Simple IP routing
42. Demo / building Bloc
Gitlab-CI
Gitlab vQFX
Change
control Config
Virtual
Lab Tests
43. Testing w/ Ansible
spine-01 spine-02
leaf-01 leaf-02 leaf-03 leaf-04
Testing is done using Ansible
• Check Physical layer
– Check all interfaces are UP
– Check LLDP neighbors
• Check Underlay
– Ping all neighbors
– Check BGP status
– Ping ANY2ANY between leaf
44. Testing w/ Ansible
spine-01 spine-02
leaf-01 leaf-02 leaf-03 leaf-04
• Testing is done using Ansible
• Check Physical layer
– Check all interfaces are UP
– Check LLDP neighbors
• Chech Underlay
– Ping all neighbors
– Check BGP status
– Ping ANY2ANY between leaf
47. What Professional Services Bring
Industry leading expertise in designing and
implementing network automation
Delivering an integrated software framework for
automation
Sharing knowledge throughout delivery
Maintaining rigor so that projects are delivered
on time and within budget
Knowledge Transfer & Customer
Focus
Network Design, Implementation
and Testing Expertise
Open Source Framework Expertise
Project Management
48. Network Automation Services
Network Automation Services
PS Practice
Software Defined
Networking
Core & Edge
Cloud &
Data Center
Security
Design Deploy AuditTest
Design
Automation
Automated
Deployment
Test
Automation
Audit
Automation
50. Get Started with examples online
Ravello
Ansible Library to automate Ravello
https://github.com/Juniper/ravello-ansible
Example of Project to build an IP fabric on Ravello using Ansible
https://github.com/dgarros/rav-ipfabric-demo
51. Get Started with examples online
Ansible
Ansible project to configure and test an IP Fabric + EVPN/VXLAN
https://github.com/JNPRAutomate/ansible-junos-evpn-vxlan
Playbook to check physical and underlay layer using Ansible
https://github.com/JNPRAutomate/ansible-junos-evpn-vxlan/blob/master/pb.check.physical.yaml
https://github.com/JNPRAutomate/ansible-junos-evpn-vxlan/blob/master/pb.check.physical.yaml
52. Get Started with examples online
Telemetry / OpenNTI
Open Source Telemetry Collector for Telemetry, Netconf and Event (syslog)
https://github.com/Juniper/open-nti
Fluentd plugin for Juniper Telemetry Streaming
https://github.com/JNPRAutomate/fluent-plugin-juniper-telemetry
53. Associated products/tools (1/2)
Change
control
Version control
Review process
Github/Gitlab
Travis-CI
Jenkins
Virtual Lab
Build virtual Lab on
demand
vMX/vQFX/vSRX
Ravello
Vagrant
Junosphere
Test
Test network device
status
Continuous
integration
JSNAPy
Pyez
NITA
Robot Framework
Ansible
54. Associated products/tools (2/2)
Telemetry
Collect,
Visualize and
Correlate
JTI
Openconfig
Netconf
OpenNTI
Kapacitor
Third party integration
Config
Automation
Execute more
automated tests
Ansible
Saltstack
Pyez
Netconf
Event Driven
Saltstack
jEDI