OpenStack is an open source cloud computing platform that provides infrastructure as a service. It abstracts compute, storage, and networking resources from physical hardware into a dashboard that manages these resources as virtual machines, object storage, and virtual networks. OpenStack uses a central dashboard and various components like Nova (compute), Glance (images), Swift (object storage), Neutron (networking), and Keystone (identity) that can work with different underlying hardware and be deployed both publicly or privately. Neutron provides network as a service and tools for building advanced virtual networks using plugins that support technologies like Open vSwitch, Linux bridges, NSX, and OpenDaylight.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).
I used this slide to taking in Docker Hanoi Meetup (http://www.meetup.com/Docker-Hanoi/events/229929959/). I just want to share something about microservices and using Docker Swarm, Consul, Registrator to implement it.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).
I used this slide to taking in Docker Hanoi Meetup (http://www.meetup.com/Docker-Hanoi/events/229929959/). I just want to share something about microservices and using Docker Swarm, Consul, Registrator to implement it.
"[WORKSHOP] K8S for developers", Denis RomanukFwdays
"It seems that perfection is attained, not when there is nothing more to add, but when there is nothing more to take away." - Antoine de Saint Exupéry
We can talk a lot about Kubernetes. But does the whole info is really need for just begining? Let's take away everything, except the really needed, and show a way for ones, who still uses only docker.
Let's consider:
Why do developers need Kubernetes and what does it looks like?
An attempt to automate ops, or why does it was a reinvention of Kubernetes
What does kube consists of?
How to get a Kubernetes?
From docker-compose to c
What is a Helm and why it's difficult without one?
What is "local development on Kubernetes"?
CRD & Operators
3 years ago, Meetic chose to rebuild it's backend architecture using microservices and an event driven strategy. As we where moving along our old legacy application, testing features became gradually a pain, especially when those features rely on multiple changes across multiple components. Whatever the number of application you manage, unit testing is easy, as well as functional testing on a microservice. A good gherkin framework and a set of docker container can do the job. The real challenge is set in end-to-end testing even more when a feature can involve up to 60 different components.
To solve that issue, Meetic is building a Kubernetes strategy around testing. To do such a thing we need to :
- Be able to generate a docker container for each pull-request on any component of the stack
- Be able to create a full testing environment in the simplest way
- Be able to launch automated test on this newly created environment
- Have a clean-up process to destroy testing environment after tests To separate the various testing environment, we chose to use Kubernetes Namespaces each containing a variant of the Meetic stack. But when it comes to Kubernetes, managing multiple namespaces can be hard. Yaml configuration files need to be shared in a way that each people / automated job can access to them and modify them without impacting others.
This is typically why Meetic chose to develop it's own tool to manage namespace through a cli tool, or a REST API on which we can plug a friendly UI.
In this talk we will tell you the story of our CI/CD evolution to satisfy the need to create a docker container for each new pull request. And we will show you how to make end-to-end testing easier using Blackbeard, the tool we developed to handle the need to manage namespaces inspired by Helm.
Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...Nati Shalom
Video recording: https://www.youtube.com/watch?v=tGlIgUeoGz8
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
Session link from teh summit: https://openstacksummitmay2015vancouver.sched.org/event/abd484e0dedcb9774edda1548ad47518#.VV5eh5NViko
Service Discovery in kubernetes is all about how services of kubernetes get discovered internally and externally. How does a single POD communicate to another POD the within the cluster and how does a user request reach to a specific POD in the cluster? These are some questions that are answered by this TOPIC.
"Microservices" is one of the hottest buzzwords and, as usual, everyone wants them, but few know how to build them. In this talk we will offer our interpretation of microservice architecture, and show how we are implementing these ideas: using Scala, Akka, sbt and Docker, we modularized Akka applications, Spark jobs and Play servers.
In the talk we will discuss design trade-offs and challenges that we faced in the process, and how we have overcome them. The focus is not on particular features of Scala language or a library, but on building modern applications using the Typesafe stack and other open-source tools.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
Securing & Monitoring Your K8s Cluster with RBAC and Prometheus”.Opcito Technologies
Opcito Technologies is a proud partner with Kubernetes, an open-source system for container orchestration.
We will be talking about:
• Features of Kubernetes 1.6
• RBAC Configurations
• RBAC Use Cases
• Running Prometheus in Kubernetes
• Prometheus Operator - Deployment, Cluster & Service Monitoring
"[WORKSHOP] K8S for developers", Denis RomanukFwdays
"It seems that perfection is attained, not when there is nothing more to add, but when there is nothing more to take away." - Antoine de Saint Exupéry
We can talk a lot about Kubernetes. But does the whole info is really need for just begining? Let's take away everything, except the really needed, and show a way for ones, who still uses only docker.
Let's consider:
Why do developers need Kubernetes and what does it looks like?
An attempt to automate ops, or why does it was a reinvention of Kubernetes
What does kube consists of?
How to get a Kubernetes?
From docker-compose to c
What is a Helm and why it's difficult without one?
What is "local development on Kubernetes"?
CRD & Operators
3 years ago, Meetic chose to rebuild it's backend architecture using microservices and an event driven strategy. As we where moving along our old legacy application, testing features became gradually a pain, especially when those features rely on multiple changes across multiple components. Whatever the number of application you manage, unit testing is easy, as well as functional testing on a microservice. A good gherkin framework and a set of docker container can do the job. The real challenge is set in end-to-end testing even more when a feature can involve up to 60 different components.
To solve that issue, Meetic is building a Kubernetes strategy around testing. To do such a thing we need to :
- Be able to generate a docker container for each pull-request on any component of the stack
- Be able to create a full testing environment in the simplest way
- Be able to launch automated test on this newly created environment
- Have a clean-up process to destroy testing environment after tests To separate the various testing environment, we chose to use Kubernetes Namespaces each containing a variant of the Meetic stack. But when it comes to Kubernetes, managing multiple namespaces can be hard. Yaml configuration files need to be shared in a way that each people / automated job can access to them and modify them without impacting others.
This is typically why Meetic chose to develop it's own tool to manage namespace through a cli tool, or a REST API on which we can plug a friendly UI.
In this talk we will tell you the story of our CI/CD evolution to satisfy the need to create a docker container for each new pull request. And we will show you how to make end-to-end testing easier using Blackbeard, the tool we developed to handle the need to manage namespaces inspired by Helm.
Orchestration tool roundup kubernetes vs. docker vs. heat vs. terra form vs...Nati Shalom
Video recording: https://www.youtube.com/watch?v=tGlIgUeoGz8
It’s no news that containers represent a portable unit of deployment, and OpenStack has proven an ideal environment for running container workloads. However, where it usually becomes more complex is that many times an application is often built out of multiple containers. What’s more, setting up a cluster of container images can be fairly cumbersome because you need to make one container aware of another and expose intimate details that are required for them to communicate which is not trivial especially if they’re not on the same host.
These scenarios have instigated the demand for some kind of orchestrator. The list of container orchestrators is growing fairly fast. This session will compare the different orchestation projects out there - from Heat to Kubernetes to TOSCA - and help you choose the right tool for the job.
Session link from teh summit: https://openstacksummitmay2015vancouver.sched.org/event/abd484e0dedcb9774edda1548ad47518#.VV5eh5NViko
Service Discovery in kubernetes is all about how services of kubernetes get discovered internally and externally. How does a single POD communicate to another POD the within the cluster and how does a user request reach to a specific POD in the cluster? These are some questions that are answered by this TOPIC.
"Microservices" is one of the hottest buzzwords and, as usual, everyone wants them, but few know how to build them. In this talk we will offer our interpretation of microservice architecture, and show how we are implementing these ideas: using Scala, Akka, sbt and Docker, we modularized Akka applications, Spark jobs and Play servers.
In the talk we will discuss design trade-offs and challenges that we faced in the process, and how we have overcome them. The focus is not on particular features of Scala language or a library, but on building modern applications using the Typesafe stack and other open-source tools.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
Securing & Monitoring Your K8s Cluster with RBAC and Prometheus”.Opcito Technologies
Opcito Technologies is a proud partner with Kubernetes, an open-source system for container orchestration.
We will be talking about:
• Features of Kubernetes 1.6
• RBAC Configurations
• RBAC Use Cases
• Running Prometheus in Kubernetes
• Prometheus Operator - Deployment, Cluster & Service Monitoring
The Vision for the Future of Network Virtualization with VMware NSXScott Lowe
This presentation recaps some announcements and demonstrations made at VMworld 2015 regarding new features and new functionality tentatively anticipated for future versions of VMware NSX.
This Presentation talks about various aspects of managing the Activity Backstack.
Please note this was prepared last year but most of the concepts are still relevant
The slides give the brief idea of the current situation of the container orchestration integration in OpenStack and how OpenStack Kuryr can improve the situation.
Agenda:
------------------------------------------------------------------
OpenStack 101: a Quick introduction to OpenStack & how it operates
Paul Roberts, Principal Solutions Architect at Mirantis
Abstract:
Are you new to OpenStack? Are you looking to get a quick introduction to OpenStack and how it operates - then our session is a do not miss event! Mirantis will do a walk thru of OpenStack for those with little to no experience with OpenStack. Join us if you want to understand the purpose of OpenStack and its ecosystem, as well as if you want to learn more about the OpenStack architecture.
Bio:
Paul Roberts, lead speaker, has spent the last decade engineering and implementing large scale infrastructure and security architectures for organizations of all sizes - ranging from startup to Fortune 500. In the past, he was instrumental in architecting Carpathia Hosting's federal and commercial cloud offerings, while also playing a key role in the on–boarding of customer's applications. Today, Paul is a Principal Solutions Architect at Mirantis helping customers navigate through the cloud ecosystem by designing and architecting various OpenStack powered initiatives.
OpenStack Overview: Deployments and the Big Tent, Toronto 2016Jonathan Le Lous
Where are we with OpenStack deployments worldwide and in Canada?
- This presentation is based on the last OpenStack User Surveys and information collected from OpenStack ecosystem in Canada.
- We will also talk about Big Tent, the new OpenStack projects governance.
Designed for IT professionals looking to expand their OpenStack Networking knowledge, “Navigating OpenStack Networking” is a comprehensive and fast-paced session which provides an overview of OpenStack Networking, its history, its predecessor (Nova Networks), its components and then dives deep into the architecture, its features and plugin model and its role in building an OpenStack Cloud.
Enterprise Datacenter Virtualization und Cloud Computing stellen neue Anforderungen an das Netzwerk. Traditionsgemäss wurden virtuelle Workloads über als Bridge fungierende virtuelle Switches mit VLANs auf dem physischen Netzwerk verbunden. Mit dem Wachstum der Anfordungen an Skalierung und Automatisierung stossen diese Modelle an Grenzen.
Thomas Graf bot an diesem OpenTuesday einen Einblick in Protokolle und Technologien wie OpenFlow, VXLAN, OpenStack Neutron und Open vSwitch, die eingesetzt werden, um neue automatisierte Netzwerkkonzepte der nächsten Generation, wie Software Defined Networking oder Network Function Virtualization, umzusetzen.
Optimising nfv service chains on open stack using dockerAnanth Padmanabhan
Uploading slides presented in the OpenStack summit, at Austin in April, 2016. Here is the link to the video,
https://www.openstack.org/videos/video/optimising-nfv-service-chains-on-openstack-using-docker
Uploading slides presented in the OpenStack summit, at Austin in April, 2016. Here is the link to the video,
https://www.openstack.org/videos/video/optimising-nfv-service-chains-on-openstack-using-docker
OpenStack at NTT Resonant: Lessons Learned in Web InfrastructureTomoya Hashimoto
This slide is what was announced at the OpenStack Summit Tokyo.
NTT Resonant Inc., one of NTT group company, is an operator of the "goo" Japanese web portal and a leading provider of Internet services. NTT Resonant deployed and has been operating OpenStack as its service infrastructure since October 2014 in production. The infrastructure started with 400 hypervisors and now accommodates more than 80 services and over 1700 virtual servers. It processes most of 170 Million unique users per month and 1 Billion page views per month.
We will show our knowledge based on our experience. This talk will specifically cover the following areas:
https://www.openstack.org/summit/tokyo-2015/videos/presentation/openstack-at-ntt-resonant-lessons-learned-in-web-infrastructure
Cloudify: Open vCPE Design Concepts and Multi-Cloud OrchestrationCloudify Community
See how open vCPE can be achieved in the real world and in action, while integrating other VNFs into the service chain, while easily instantiating and managing on any cloud, leveraging open orchestration design concepts. More and more vendors are looking to not only easily onboard their VNFs to the cloud, but also build a stack that is versatile and not locked into one cloud provider or vendor. Join this webinar and learn how Datavision and Cloudify are helping deliver this end-to-end solution across the globe
Tech Talk by John Casey (CTO) CPLANE_NETWORKS : High Performance OpenStack Ne...nvirters
OpenStack is HOT! No doubt about it. A recent survey by The New Stack and The Linux Foundation shows OpenStack as the most popular open source project ahead of other hot projects like Docker and KVM. OpenStack is now taking its rightful place as the open source cloud solution for enterprises and service providers.
To date OpenStack networking has not yet achieved the performance, scalability and reliability that many large enterprises demand. CPLANE NETWORKS solves that problem by delivering secure multi-tenant virtual networking that overcomes the limitations of the standard Neutron networking service. By making all networking services local to the compute node and achieving near line-rate throughput, CPLANE NETWORKS Dynamic Virtual Networks (DVN) delivers mega-scale networking for the most demanding application environments.
In this session John Casey will cover the basics of DVN and explain how CPLANE NETWORKS achieves "at scale" network performance within and across data centers.
About John Casey
John Casey has over 20 years of deep technology leadership. His proven success with a variety of technical leadership roles in Telecom, Enterprise and Government and in software design and development provide the foundation for the system architecture and engineering team.
Previously John led worldwide deployment teams for both IBM’s Software Group and Narus, Inc. His work in large scale, high performance system design at Transarc Labs and Walker Interactive Systems brings leadership to the CPLANE NETWORKS product suite.
OpenStack and OpenDaylight Workshop: ONUG Spring 2014mestery
This was a presentation I gave at the Open Networking Users Group (ONUG), Spring 2014. This talk covers some background on OpenStack and OpenDaylight, walks through Group Based Policy and OpFlex, and ends with a tutorial walk through of installing and using OpenStack with OpenDaylight.
VMworld 2013
Archish Dalal, VMware
Nikhil Kelshikar, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Session on CloudStack, intended for new users to CloudStack, provides an overview to varied audience levels information on usages, use cases, deployment and its architecture.
Overview of OpenStack nova-networking evolution towards Neutron. Architecture overview of OVS plugin, ML2, and MidoNet Overlay product. Overview and example of Heat templates, along with automation of physical switches using Cumulus
This presentation covers the basics about OpenvSwitch and its components. OpenvSwitch is a Open Source implementation of OpenFlow by the Nicira team.
It also also talks about OpenvSwitch and its role in OpenStack Networking
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
2. What is OpenStack
Provide scalable, elastic cloud
computing for both public and
private clouds, large and small
3. Defining OpenStack
• OpenStack is a virtualization platform
which abstracts out Compute, Storage and
Networking from the underlying Hardware
• All the components are managed through
a central Dashboard
5. Trends : OpenStack vs Other Open
Source Cloud Projects
Source : Google trends
OpenStack has won the
Open Source battle
6. OpenStack Deployments : 2013
Source OpenStack survey Oct 2013
Top 10 countries
13
14
23
24
24
25
39
57
63
336
IT
BR
DE
AU
GB
CA
FR
CN
IN
US
7. Finance 1%
Healthcare 1%
Retail 1%
Manufacturing/Indu
2%
Government / Defen
Film/Media 3%
Unspecified 3%
Other 6%
Telecommunications
7%Academic / Research
11%
Information
Technology
63%
Other
19%
Industries
1-20 employees
26%
21-100
employees
16%
101 to 500
employees
14%
501 to 1,000
employees
5%
1,001 to 5,000
employees
10%
5,001 to 10,000
employees
8%
More than 10,000
employees
21%
Organization size
8. Business Drivers for Adopting
OpenStack
4
48
52
65
86
87
95
95
95
98
Other
Attracting talent
Control
Time to market
Ability to innovate, compete
Flexibility of underlying technology…
Avoiding vendor lock-in
Open technology
Operational efficiency
Cost savings
Source OpenStack survey Oct 2013
10. OpenStack - Components
Component Component Function Definition
Nova Compute Provides virtual servers on demand
Glance Image Service Provides a catalog of images used to
create VMs
Swift Object Storage Provides Object Storage
Horizon Web based UI Provides a way to interact with other
OpenStack services
Neutron Networking Service Provides Network as a Service
Cinder Block Storage
Service
Provides Block Storage Service for guest
VMs
Keystone Identity Services Provides Authorization and
Authentication services for
Ceilometer Monitoring Service Collects metrics from various Open Stack
Components
13. OpenStack – Compute
• Tool to orchestrate cloud.
• Main Functions
– Manage running instances
– Manage access to the cloud through users and
tenants
• OpenStack compute relies in the underlying
hypervisors to spawn actual instances
14. OpenStack Computes
• Hypervisors Supported
Hypervisor
KVM Kernel Virtual Machine
Xen Based on Citrix Xen Server
vSphere 4.1, 5.1 VMWare’s hypervisor
QEMU Quick Emulator
LXC Linux Containers : User Control Packages for Linux
Containers
15. Nova Architecture
• Nova is architected as a distributed application with many components
• Majority of these are custom-written Python daemons of two varieties:
– API Service : Web Server Gateway Interface (WSGI)* applications to
receive and mediate API calls
– nova-compute : Nova Compute Service
– nova-volume : Nova Volume Service
– nova-network : Nova Network service which connects to Neutron
– nova-cert : Manages the x509 certificates
– nova-scheduler : Scheduler to choose the host to run instances on
– nova-conductor : Updates DB on behalf of other APIs like network,
volumes etc
16. Nova Architecture – Service to
Manager Mapping
• Each Service has an associated Manager class which
manages the API calls to the underlying implementation
– API Service :
– nova-compute : nova.compute.ComputeManager
– nova-volume : nova.volume.VolumeManager
– nova-network : nova.network.NetworkManager
– nova-cert : nova.cert.CertManager
– nova-scheduler : nova.scheduler.SchedulerManager
– nova-conductor : nova.conductor.CondutorManager
18. Nova - API Service
• API Service is the entry point for all the REST
service requests
• The API endpoints are basic http REST which
handle authentication, authorization, and
basic command and control functions using
various API interfaces
• Forwards the API requests to
ComputeManager and Scheduler.
19. Nova – RPC Communication
• API uses RPC Messaging to communicate with
various services like Compute, Conductor,
Scheduler
• RPC is currently implemented using AMPQ
messaging
20. Service Workers
• Every Service is associated with one or more
workers.
• Each worker is spawned in a separate process
and helps in scaling out the associated service
21. Nova Scheduler
• Component responsible for scheduling a VM
provisioning call on one the hosts
• It can choose from multiple algorithms to
choose the host.
• Example of some of these algorithms
22. Drivers for Virtualization
• Base class for all the driver implementations is
nova.virt.compute.ComputeDriver
• All the drivers extend this class for implementing
the functionality
26. What is Neutron
• Networking service to virtualize Network
Management
• Neutron is to networking what Nova for
Compute
27. Why Neutron
• Enterprise Networks are complex
• Traditional Open Stack Networking has
limitations
• New Concepts like SDN and Tunneling
protocols need a more extendible model
28. Limitations of Nova-Network
• Single VLAN for all the VMs
• Limited by the number of
VLANs which can be
created – 4096
• Little or No Control
29. Neutron
• Provides tools and control for Enterprise class
Networking
– Services Firewalls, Load Balancers, Virtual Routers
• Provide APIs to build advanced network
Configurations
30. Challenges from Cloud on Networking
• Massive Scale
• Cost Effective
• Vendor Agnostic
• Dynamic and programmatic configuration
31. Neutron Basics
• Provides API for configuration of Virtual
Networks and connecting VMs
• Connect Virtual and Physical Switches
• Provide Pluggin mechanism for different
control components.
32. Neutron Principles
• Implementation Abstraction : Networking
implementation at Physical level is abstracted
• Association of an Interface with a Network is
an explicit step
• Plugins can expose extensions from the core
APIs
36. Neutron Components – neutron
daemon
• Neutron daemon
exposes the REST APIs
for Nova and Horizon
interaction
• Passes on the messages
to the agents running
on Neutron Service
Host as well as Nova
Compute
37. Neutron Components – neutron
daemon
• Neutron daemon
exposes the REST APIs
for Nova and Horizon
interaction
• Passes on the messages
to the agents running
on Neutron Service
Host as well as Nova
Compute
38. Neutron Components –
l3 agent and l3 metering agent
• L3 agent : Provides L3/NAT
forwarding to provide
external network access
for VMs on tenant
networks. Some plug-ins
use this agent.
• L3 metering Agent :
Provides L3 traffic
measurements for tenant
networks.
• Run on the main Neutron
Service
39. Neutron Components –
l3 agent and l3 metering agent
• plugin-in agent : Runs on
each hypervisor to perform
local vswitch configuration.
The agent that runs depends
on the plug-in that you use,
and some plug-ins do not
require an agent.
• dhcp agent: Provides DHCP
services to tenant networks.
• Run on each Nova Compute
Node
41. Plugin Architecture
• Allows Network/Port abstraction with multiple
implementations
– Process All API Calls and pass them to the
underlying Physical Layer
– Manage Virtual Switches – Triggered by Nova
interfaces being attached to a network
46. OpenDaylight
• OpenDaylight is an Open Source Software project
under the Linux Foundation with the goal of
furthering the adoption and innovation of Software
Defined Networking (SDN) through the creation of a
common industry supported platform
50. Key Takeaways
• Open Stack is a SDN agnostic and Hypervisor
Agnostic Open Source Framework
• Open Source also brings its own challenges to
the product in terms of complexity
• Lot of value added services being built around
OpenStack – Trove, Savanna, Solum, Congress