Presentation detailed about SDN (Software Defined Network) overview . It covers from basics like different controllers and touches upon some technical details.
Covers Terminologies used, OpenFlow, Controllers, Open Day light, Cisco ONE, Google B4, NFV,etc
Presentation detailed about SDN (Software Defined Network) overview . It covers from basics like different controllers and touches upon some technical details.
Covers Terminologies used, OpenFlow, Controllers, Open Day light, Cisco ONE, Google B4, NFV,etc
This slides will provide viewers a complete understanding of all the different virtualization techniques.
The main reference for the presentation is taken from Mastering cloud computing By Rajkumar Buyya.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
Cloud-based IT resources need to be set up, configured, maintained, and monitored. The systems covered in this chapter are mechanisms that encompass and enable these types of management tasks.
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Docker Meetup - Melbourne 2015 - Kubernetes Deep DiveKen Thompson
Presentation given at the October 2015 Docker Meetup in Melbourne. A deep dive in to Kubernetes networking and storage and how this is being utilised in OpenShift 3.
This slides will provide viewers a complete understanding of all the different virtualization techniques.
The main reference for the presentation is taken from Mastering cloud computing By Rajkumar Buyya.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
Cloud-based IT resources need to be set up, configured, maintained, and monitored. The systems covered in this chapter are mechanisms that encompass and enable these types of management tasks.
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Docker Meetup - Melbourne 2015 - Kubernetes Deep DiveKen Thompson
Presentation given at the October 2015 Docker Meetup in Melbourne. A deep dive in to Kubernetes networking and storage and how this is being utilised in OpenShift 3.
A look at kubeless a serverless framework on top of kubernetes. We take a look at what serverless is and why it matters then introduce kubeless which leverages Kubernetes API resources to provide a Function as a Services solution.
Microservices, Containers, Docker and a Cloud-Native Architecture in the Midd...Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery automate deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers here. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture in the middleware world. A live demo with the open source PaaS framework CloudFoundry shows how technologies and frameworks such as Java, SOAP / REST Web Services, Jenkins and Docker are used to create an agile software development lifecycle to realize “Middleware Microservices”. It also discusses other modern cloud-native alternatives such as Kubernetes, Docker, Mesos, Mesosphere or Amazon ECS / AWS.
Los Líderes de negocios en todas las industrias están enfocados en establecer una mejor relación con los clientes digitales, donde quiera que ellos se encuentren.
El reto es poder ayudar a las empresas en su camino hacia la Transformación Digital, abriendo canales de nuevos medios de comunicación con sus Clientes.
Reasons to Move
Benefits:
Virtualization – The ability to increase computing efficiency
Democratization of Computing – Bringing enterprise scale infrastructure to small and medium businesses
Scalability and fast provisioning – Bringing web scale IT at a rapid pace
Commoditization of infrastructure – Enabling IT to focus on the strategic aspects of its role
Cloud Computing Economics mechanisms: By lowering the opportunity cost of running technology
By allowing for a shift from capital expenditure to operating expenditure
By lowering the Total Cost of Ownership (TCO) of technology
By giving organizations the ability to add business value by renewed focus on core activities
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
2. Cloud Computing
Agenda
- Definition
- Essentials Characteristics
- Categories within Cloud Computing
- Software as a Service
- Platform as a Service
- Infrastructure as a Service
3. Cloud Computing
Definition:
From NIST(*) :
“Cloud Computing is a model for enabling convenient, on-
demand network access to a shared pool of configurable
computing resources (e.g., networks, servers, storage,
applications, and services) that can be rapidly provisioned
and released with minimal management effort or service
provider interaction”
Cloud Computing is also defined as a Stack, as response of
a broad number of services built on top of one another.
(*) NIST: National Institute of Standards and Technology
4. Cloud Computing
Agenda
- Definition
- Essentials Characteristics
- Categories within Cloud Computing
- Software as a Service
- Platform as a Service
- Infrastructure as a Service
6. Cloud Computing
Essentials Characteristics: (2/3)
On-demand self-service: The ability for an end user to sign
up and receive services without the long delays that have
characterized traditional IT.
-> User provision without human interaction by a service provider
Broad network access: Ability to access the service via
standard platforms (desktop, laptop, mobile, etc.)
-> Location independent use
7. Cloud Computing
Essentials Characteristics: (3/3)
Resource pooling: Resources are pooled across multiple
customers.
-> Model that supports multi-tenancy, with dynamic assignment of resources
according to demand.
Rapid elasticity: Capability can scale to cope with demand
peaks.
-> From the user’s point of view, there are unlimited resources that are
paid for based on the quantities actually consumed
Measured service: Billing is metered and delivered as a
utility service
8. Cloud Computing
Agenda
- Definition
- Essentials Characteristics
- Categories within Cloud Computing
- Software as a Service
- Platform as a Service
- Infrastructure as a Service
9. Cloud Computing
Categories within Cloud Computing (1/5)
I. SaaS: Software as a Service
Applications are designed for end-
users, delivered over the web.
II. PaaS: Platform as a Service
Set of tools and services designed to
make coding and deploying those
applications quick and efficient.
III. IaaS: Infrastructure as a Service
Hardware or Software that powers it
all, includes: Servers, storage,
networks and operating systems.
14. Cloud Computing
I. Software as a Service:
Software that is deployed over the internet…
A provider licenses an application to customers either as a
service on demand, through a subscription:
• in a “pay-as-you-go” model
• at no charge, when there is opportunity to generate revenue from
streams other than the user, such as from advertisement or user
list sales.
15. Cloud Computing
I. Software as a Service:
Characteristics:
Web access to commercial software
Software is managed from a central location
Software delivered in a “one to many” model
Users not required to handle software upgrades and
patches
Application Programming Interfaces (APIs) allow for
integration between different pieces of software
16. Cloud Computing
I. Software as a Service:
Recommended No - Recommended
No differentiated service Required fast processing and real
time data required
Significant interaction between the Legislation or regulations don’t
Organization and outside world allow data to be hosted
Need for web or mobile access externally.
Required only for short term Existing on-premise solution
User demands spikes significantly fulfills all organization’s needs.
18. Cloud Computing
II. Platform as a Service:
Computing platform that allows the creation of web
applications quickly and easily and without the complexity
of buying and maintaining the software and infrastructure
underneath it.
Platform for the creation of software, delivered over the web
19. Cloud Computing
II. Platform as a Service:
Characteristics:
Services to develop, test, deploy, host and maintain
applications in the same integrated development
environment.
Web based user interface creation tools. Help to create,
modify, test and deploy different UI scenarios.
Multi-tenant architecture where multiple concurrent users
utilize the same development application.
Built in scalability of deployed software including load
balancing and failover.
20. Cloud Computing
II. Platform as a Service:
Characteristics:
Integration with web services and databases via
common standards.
Support for development team collaboration – some
PaaS solutions include project planning and
communication tools.
Tools to handle billing and subscription management.
21. Cloud Computing
II. Platform as a Service:
Recommended No - Recommended
Multiple developers working on a Where the applications need to
development project or where be highly portable in terms on
external parties need to interact where it is hosted
with the development process.
Where proprietary languages or
approaches would impact the
development process
Where applications performance
requires customization of the
underlying hardware and
software
23. Cloud Computing
III. Infrastructure as a Service:
Is a way of delivering Cloud Computing infrastructure –
servers, storage, network and operating systems – as an on-
demand service.
Rather than purchasing servers, software, datacenter space
or network equipment, clients instead buy those resources
as a fully outsourced service on demand.
24. Cloud Computing
III. Infrastructure as a Service:
Characteristics:
Resources are distributed as a service
Allows for dynamic scaling
Has a variable cost, utility pricing model
Generally includes multiple users on a single piece of
hardware
25. Cloud Computing
III. Infrastructure as a Service:
Recommended No - Recommended
Demand is very volatile Regulatory compliances for
New organizations without capital outsourcing of data storage and
to invest in hardware processing difficult
Organization is growing rapidly and
scaling hardware would be
problematic
Internal pressure to limit capital Where the highest performance
expenditure and to move to required can be supported by the
operating expenditure on premise or dedicated hosted
Trials or temporary infrastructural infrastructure
needs