The document discusses cloud computing and defines it as a model that enables convenient, on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications and services. It describes the essential characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service. It also outlines the three main service models - SaaS, PaaS and IaaS - and the four deployment models - private, public, community and hybrid cloud. The document provides examples and diagrams to illustrate cloud taxonomy and different cloud services.
Cloud Service Life-Cycle
Cloud Deployment Scenarios
Cloud Service Development and Testing
Web Service Slicing for Regression Testing of Services
Cloud Service Evolution Analytics
Quality of Service and Service Level Agreement
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
This is a overview of Cloud Computing at a basic stage. Being clear, from this, you would not be able to just read and go to deploy a cloud service of your own, but you will get an overview of the concept of one of the most burning topics in IT industry right now.
Two Parts
Part One: Overview of Cloud Computing, Definition, History, Cloud Service Models, Cloud Storage Types, Visualization etc.
Part Two: Open Source Cloud Computing
Open Source Hyper-visors
Development of CloudStack
Installation Overview
Conclusion
Cloud Service Life-Cycle
Cloud Deployment Scenarios
Cloud Service Development and Testing
Web Service Slicing for Regression Testing of Services
Cloud Service Evolution Analytics
Quality of Service and Service Level Agreement
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
This is a overview of Cloud Computing at a basic stage. Being clear, from this, you would not be able to just read and go to deploy a cloud service of your own, but you will get an overview of the concept of one of the most burning topics in IT industry right now.
Two Parts
Part One: Overview of Cloud Computing, Definition, History, Cloud Service Models, Cloud Storage Types, Visualization etc.
Part Two: Open Source Cloud Computing
Open Source Hyper-visors
Development of CloudStack
Installation Overview
Conclusion
Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
Introduction to Cloud
Cloud Types
Cloud Deployment Models
Cloud Service Model
Cloud architecture
Challenges and Risks in cloud Computing
Cloud Features, Characteristics and Applications
Separate application definition from deployment platform
Enable late binding of model to the platform
Developers should be able to model application topology
Including internal and external dependencies for their app
Infrastructure administrators can have control over final deployment
Ensure IT policies are adhered to
Should be able to see deployment plan and add additional activies
Carry information about various phases of an application lifecycle
App model travels with the application
Deployment time changes allowed
Policies to enforce during runtime
Impact of updates and rollback of a s/w component on the application
Correlate monitoring information to parts of application
Leverage OVF standard for vm/vApp description
Relies on OVF for virtual machine description
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
Cloud Computing provides us a means by which we can access the applications as utilities, over the Internet. It allows us to create, configure, and customize applications online. With Cloud Computing users can access database resources via the internet from anywhere for as long as they need without worrying about any maintenance or management of actual resources.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
Introduction to Cloud
Cloud Types
Cloud Deployment Models
Cloud Service Model
Cloud architecture
Challenges and Risks in cloud Computing
Cloud Features, Characteristics and Applications
Separate application definition from deployment platform
Enable late binding of model to the platform
Developers should be able to model application topology
Including internal and external dependencies for their app
Infrastructure administrators can have control over final deployment
Ensure IT policies are adhered to
Should be able to see deployment plan and add additional activies
Carry information about various phases of an application lifecycle
App model travels with the application
Deployment time changes allowed
Policies to enforce during runtime
Impact of updates and rollback of a s/w component on the application
Correlate monitoring information to parts of application
Leverage OVF standard for vm/vApp description
Relies on OVF for virtual machine description
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
Cloud Computing provides us a means by which we can access the applications as utilities, over the Internet. It allows us to create, configure, and customize applications online. With Cloud Computing users can access database resources via the internet from anywhere for as long as they need without worrying about any maintenance or management of actual resources.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
A slightly-modified version of my IPRUG talk, this time for the BT DevCon5 developer conference at Adastral Park on 25 May 2012.
The main changes are the addition of the Ruby section and the increased number of HHGTTG references in honour of towel day.
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.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
8. “Cloud computing is a model for
enabling convenient, on-demand
network access
9. “Cloud computing is a model for
enabling convenient, on-demand
network access to a shared pool of configurable
computing resources
10. “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)
11. “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.
12. “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. This cloud model promotes availability and is composed of five essential characteristics, three service models,
and four deployment models.
Essential Characteristics:
13. “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. This cloud model promotes availability and is composed of five essential characteristics, three service models,
and four deployment models.
Essential Characteristics:
On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction
with each service’s provider.
14. “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. This cloud model promotes availability and is composed of five essential characteristics, three service models,
and four deployment models.
Essential Characteristics:
On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction
with each service’s provider.
Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).
Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no
control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.
Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.
Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.Service Models:
Cloud Software as a Service (SaaS). The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible
exception of limited user-specific application configuration settings.
Cloud Platform as a Service (PaaS). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network,
servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.
Cloud Infrastructure as a Service (IaaS). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage
or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).
Deployment Models:
Private cloud. The cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on premise or off premise.
Community cloud. The cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on premise or off premise.
Public cloud. The cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.
Hybrid cloud. The cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds).
A brief introduction to cloud computing, with digressions into agile, lean and devops.\n
There are lots of definitions.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
[US] National Institute of Standards and Technology.\nGood definition, but a bit long.\n
Obligatory cat photo.\n
Simplified definition.\n
Simplified definition.\n
Simplified definition.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Software, platform and infrastructure. Not necessarily built on each other.\nHybrid is a mixture of clouds (possibly public and private), or a mixture of cloud and traditional servers.\n
Basically any application that’s hosted for you.\n
Basically any application that’s hosted for you.\n
Basically any application that’s hosted for you.\n
Basically any application that’s hosted for you.\n
Basically any application that’s hosted for you.\n
Allow easy deployment of certain kinds of application.\n
Allow easy deployment of certain kinds of application.\n
Allow easy deployment of certain kinds of application.\n
Allow easy deployment of certain kinds of application.\n
Allow easy deployment of certain kinds of application.\n
Allow easy deployment of certain kinds of application.\n
Basic on-demand building blocks (compute, storage, database etc).\n
Basic on-demand building blocks (compute, storage, database etc).\n
Basic on-demand building blocks (compute, storage, database etc).\n
Basic on-demand building blocks (compute, storage, database etc).\n
Basic on-demand building blocks (compute, storage, database etc).\n
Basic on-demand building blocks (compute, storage, database etc).\n
Deploy a Rails app to Heroku, and spin up an EC2 instance.\n
What benefits does cloud give us?\n
Real agile, not the half-arsed kind.\nEarly and continuous delivery – obviously on-demand infrastructure helps with both.\n
Deploy quickly, get feedback and change direction or stop as necessary.\nTry lots of small ideas, instead of picking one and building the whole thing up front.\n
Continuous Integration: not just a CI server!\nAutomated testing (unit, system, integration and end-to-end).\nAlways shippable code and automated deployment enables frequent delivery.\nOn-demand infrastructure allows repeatable test environment.\n
Continuous Deployment\nCompanies like Flickr, Netflix, Facebook and Wordpress deploy to live several times a day.\nFlexibility of cloud allows staged upgrade and backout if necessary.\n
Traditional split.\nDevelopers want to change everything; ops want to keep things running smoothly.\nBig company bureaucracy makes fast or frequent deployment impossible (CRs, ePIFs, NAIFs, ACF, SPDs…)\n
Devops expands agile into operations.\nDev and ops people work together – devs pay more attention to operational needs, and ops enable faster changes.\nManagement of deployed systems is automated and reproducible (configuration as code).\n
Various tools exist to automate server setup and app deployment.\nChef and Puppet are the main open source options.\n
Spin up an EC2 server, configure it as a chef client, and have it set itself up with a basic web app recipe.\n
What needs to be done differently to make best use of cloud infrastructure?\n
Move from robustness (massive servers) to resilience (pools of small servers sharing the work).\nScale out, not up.\nThe loss of any single node shouldn’t stop everything working.\nSpread across multiple availability zones, regions, or even clouds.\nMaking everything redundant may not be practical for all applications, so single failure points (eg database, load balancer) will still need to be robust.\n
Avoid single point of failure.\nMonitor everything (including user actions – if orders suddenly stop arriving maybe something’s broken).\nTreat scaling the same as failure recovery (adding a new server to a pool is the same as replacing a failed server).\nKeep some headroom to cope with spikes.\n
Netflix implemented a “chaos monkey” program, which continually shuts down random parts of their infrastructure.\nIf you aren’t testing all the time, how likely is your redundancy likely to work in the event of a real failure?\n
Traditional model: servers are separated into various networks, protected by firewalls.\nSpecific paths through the firewalls are opened to allow necessary traffic between networks, but no more.\nRedside/greenside separation.\n
Web model: everything’s “in the cloud”.\nAccess to everything is via the internet.\nSecurity of individual servers and communication links becomes much more important.\n
So where are we in BT?\n
Two separate VDCs.\nGSVDC is BT’s public cloud product for businesses. \neVDC came from the need to consolidate the internal server estate. It’s a big improvement on provisioning physical servers, but it ain’t cloud (months to provision, no API, not elastic).\n
Built by a small BT team (mostly now gone).\nHome-grown EC2/S3-compatible platform.\nRedside and greenside (real soon now, honest!) clouds\n