PRINCE2 (Projects IN Controlled Environments) is a globally recognized, process-driven project management methodology. It provides a structured, scalable approach to manage projects from start to finish. It is built on 7 core principles, 7 themes, and 7 step-by-step processes.
May 2011 – Registered PRINCE2 Practitioner with ILX
The 7 Pillars of PRINCE2
To truly grasp PRINCE2, you should be familiar with its three core elements:
7 Principles: Continued business justification, learn from experience, defined roles and responsibilities, manage by stages, manage by exception, focus on products, and tailor to suit the project environment.
7 Themes: Business Case, Organization, Quality, Plans, Risk, Change, and Progress.
7 Processes: Starting Up, Directing, Initiating, Controlling a Stage, Managing Product Delivery, Managing a Stage Boundary, and Closing a Project.
Example MS Excel PRINCE2 template (available on this website)
Detailed Timeline Breakdown by Year
The evolution of PRINCE2 spans over 50 years, transitioning from an internal UK IT standard into a global, flexible methodology.
Mid-1970s: Simpact Systems Limited creates the PROMPT methodology (Project, Resource, Organization, Management, and Planning Technique).
Early 1980s: The Central Computer and Telecommunications Agency (CCTA) in the UK licenses PROMPT to manage complex IT overruns.
1989: CCTA enhances the PROMPT method, renames it to PRINCE (PROMPT in the CCTA Environment), and mandates it for UK IT projects.
1990: PRINCE is released into the public domain and experiences widespread private and public sector adoption.
1996: The UK Cabinet Office officially publishes PRINCE2 and its global certifications. The acronym is updated to PRojects IN Controlled Environments and adapted to fit any industry or project type (not just IT).
2000: Ownership transfers to the newly formed Office of Government Commerce (OGC) in the UK.
2002/2005: Manual structure undergoes major revisions to strengthen the methodology’s “product-based planning” approach.
2009: A massive “Refresh” is released. This update simplifies the framework, introduces the foundational 7 principles, and significantly improves customization.
2013: Ownership transitions to AXELOS Ltd, a joint venture between the UK Government and Capita.
2017: AXELOS publishes the PRINCE2 2017 Update (later designated the 6th Edition). This update places heavy focus on tailoring the method to project scale, flexibility, and practical execution.
2018:PRINCE2 Agile is launched, combining the traditional, controlled PRINCE2 governance model with agile delivery methods.
2021:PeopleCert, a global examination provider, acquires AXELOS and takes full ownership of the PRINCE2 methodology.
2023–Present: PeopleCert releases the PRINCE2 7th Edition, which brings modernizations, digital improvements, and greater sustainability tracking, branding the framework simply as “PRINCE2 Project Management”.
To explore the latest resources, certification paths, or officially recognized guides, you can visit the PRINCE2 Official Website or the community-driven PRINCE2 Wiki.
Microsoft Power Platform is an enterprise-grade, low-code platform that allows organizations to build applications, automate workflows, analyze data, and create AI-powered virtual agents. It natively connects to Microsoft 365, Azure, and Dynamics 365, serving as a core pillar of modern digital transformation.
Microsoft Power Platform Overview
Core Pillars
Power Apps: A low-code development environment for building custom, cross-platform business applications (Canvas or Model-driven) without writing traditional code.
Power Automate: An automation service enabling the creation of workflows, API-based integrations, and Robotic Process Automation (RPA) for legacy systems.
Power BI: A business analytics service that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Power Pages: A secure, enterprise-grade low-code software-as-a-service (SaaS) platform for designing, configuring, and publishing external-facing websites.
Microsoft Copilot: AI-assisted generative capabilities natively built across the platform, allowing users to build apps, write flows, or generate reports using natural language.
Foundational Technologies
Dataverse: A secure, cloud-based data storage and management layer featuring a standardized common data model, allowing disparate Microsoft tools to seamlessly share information.
Connectors: Over 1,000 pre-built wrappers that facilitate communication between the Power Platform and external services (like Salesforce, SQL databases, or REST APIs).
Power Fx: A low-code, strongly-typed functional programming language based on Excel formulas that serves as the logic layer across the platform.
Technical Evolution by Year
The Power Platform did not launch overnight; it evolved through the gradual introduction of several standalone tools before Microsoft formally unified them under one umbrella.
2013–2015: The Origins of Data Analysis & Logic
2013: Power BI is initially released as an add-in for Microsoft Excel, allowing users to build pivot tables and light analytics.
2015: Power BI transitions into a standalone cloud service. Concurrently, Power Apps enters public preview, introducing the low-code app paradigm.
2016–2017: Workflow Automation
2016: Microsoft Flow (the predecessor to Power Automate) is launched to handle cloud-based workflow automation.
2017: Common Data Service (now Dataverse) is introduced to provide a standardized, secure data layer.
2018–2019: The “Power Platform” Unification
2018: Microsoft officially unifies Power BI, Power Apps, and Microsoft Flow under the official name “Microsoft Power Platform”, introducing the formal concept of a connected, low-code business ecosystem.
2019: The Common Data Service gets deeper integration across Dynamics 365 and Microsoft 365, accelerating citizen development across large enterprises.
2020: AI and Robotic Process Automation (RPA)
2020: Microsoft launches AI Builder, allowing users to integrate pre-trained AI models (like form processing and object detection) directly into their apps and workflows.
2020: Softomotive is acquired, bringing RPA (desktop flows) into Power Automate.
2021–2022: New Additions and Expanded Web Presence
2021: The Common Data Service is officially rebranded as Microsoft Dataverse.
2021: Power Fx is introduced as the standard, open-source low-code language.
2022: Power Apps Portals is rebranded and expanded into Power Pages, creating a dedicated, robust tool for building external-facing websites.
2023–2024: The Generative AI Wave
2023: Microsoft embeds generative AI across the suite through Copilot. Users begin building data tables, applications, and automation flows entirely through conversational prompts.
2024: Power Platform deepens its integration with Microsoft Fabric and brings further enterprise-grade management, data governance, and AI agent orchestration features directly into Dataverse.
2025–2026: Agentic Computing and Modern Controls
2025: Power Platform evolves beyond standard applications and automations into “agentic computing.” Makers can build autonomous, AI-driven data agents directly within Dataverse using the Python SDK.
2026: Power Apps rolls out massive updates to its interface, deploying responsive layouts and modern controls as default settings. Advanced lifecycle management and process-mining features cement the platform’s role in modern fusion development.
My Recent MS Power Platform Involvement :
UK Gov : Cloud Migration (Hybrid) – In 2020, working as a Senior Project Manager on a client sponsored Agile proof-of-concept (POC) project to move 3 Client elected Apps (with MS Access, Oracle and SQL 2008 DBs), to the Cloud (Microsoft Azure and Dynamics365 Power Platform). The migration to the cloud was based on 3 primary app patterns namely; re-host, re-platform and re-factor. This project spanned approximately 3 months and started in early February 2020 with a budget of £375k.
The project was a pre-cursor and effort indicator for the larger piece of migration work to move 130 client estate apps to the cloud. This is a very complex app estate with many touch points and different technology stacks.
As the Capgemini Senior PM, responsible for the project planning, control, organisation, stakeholder communication, aligning with current GDPR directives and status reporting against delivery of Capgemini services to the client. As the PM, also the first escalation point for the project team and the client.
December 2022 – C&CA UK’s Communications & Engagement Award Winner – Cloud & Custom Applications – Capgemini UK
Claude is a family of large language models (LLMs) developed by Anthropic, a company founded in 2021 by former OpenAI executives Daniela and Dario Amodei with a core focus on AI safety and “Constitutional AI”. Known for its high-quality writing, advanced reasoning, massive context windows, and “Artifacts” interface, Claude has rapidly evolved from a safe conversational chatbot into an agentic tool capable of coding, computer use, and complex data analysis.
Overview of Claude AI
Constitutional AI (CAI): Anthropic trains Claude using a set of principles (“constitution”) rather than relying only on human feedback. This makes Claude generally more cautious, more likely to refuse harmful requests, and transparent in its reasoning.
Model Family (Haiku, Sonnet, Opus): Claude models are released in three tiers:
Haiku: Fastest and most cost-effective.
Sonnet: Balanced for speed and intelligence (general-purpose).
Opus: Most intelligent, designed for complex tasks.
Key Features:
Context Window: Early adoption of long-context, moving from 100k to 200k tokens (roughly 500 pages of text).
Artifacts: A dedicated UI window that displays rendered code, websites, and documents in real-time.
Computer Use: A specialized capability allowing Claude 3.5 Sonnet to control a computer’s desktop environment—moving the cursor, clicking, and typing.
Claude Code: Agentic coding tool introduced in 2025/2026 for automated software engineering.
Historic Timeline by Era and Year
Era 1: Foundation and Early Models (2021–2022)
2021: Anthropic is founded by Dario and Daniela Amodei, focusing on AI safety and “Constitutional AI”.
Late 2022: Initial versions of Claude are released to select research partners for safety testing.
Era 2: Public Launch and Rapid Scaling (2023)
March 2023:Claude 1 and Claude Instant are released for testing.
July 2023:Claude 2 is released to the general public, featuring improvements in reasoning and coding.
November 2023:Claude 2.1 is launched, doubling the context window to 200,000 tokens.
Era 3: The Claude 3 Family and Agentic AI (2024)
March 2024:Claude 3 Family (Haiku, Sonnet, Opus) is launched, showcasing near-human intelligence, advanced vision capabilities, and high-speed processing.
June 2024:Claude 3.5 Sonnet is released, outperforming the larger 3 Opus model and introducing the Artifacts feature for UI rendering.
October 2024:Claude 3.5 Haiku and an upgraded 3.5 Sonnet are released. Anthropic launches the “computer use” public beta, allowing the AI to interact with software and browsers.
Era 4: Claude 4 and Agentic Workflows (2025–2026)
February 2025:Claude Code is introduced as an agentic tool for developers.
May 2025:Claude 4 Family (Opus 4 & Sonnet 4) is launched, featuring improved multi-modal reasoning and deep context processing.
August 2025:Opus 4.1 is released with tighter safety controls for abusive conversations.
November 2025:Opus 4.5 is released, focusing on enhanced coding and workplace tasks, alongside “Infinite Chats”.
February 2026:Claude Opus 4.6 and Sonnet 4.6 are released, adding native “Agent Team” collaboration and 1M-token context.
April 2026:Claude Mythos Preview is announced, designed for high-level cybersecurity vulnerability detection.
Key Differentiators
As of early 2026, Claude is considered a market leader in agentic AI development, particularly through its “Computer Use” feature, which allows it to act as an Autonomous agent rather than just a chatbot. While competitors like OpenAI focus on multimodal LLMs, Anthropic’s Claude continues to differentiate by prioritizing safety, long-context understanding, and specialized agentic coding tools.
Claude AI Overview and Detailed Historic Timeline by Era and Year
How Project Managers use Claude AI to run projectsHow PMs use Claude AI to run projects
Claude Artificial Intelligence AI technologyinsight
Claude is a family of large language models (LLMs) developed by Anthropic, an AI safety and research company. As of early 2026, the technology has evolved from a conversational chatbot into a suite of “agentic” tools capable of performing complex software engineering, cybersecurity, and workplace automation tasks.
Core Technology & Architecture
Constitutional AI: Claude’s unique training method, which uses a set of principles (a “constitution”) to guide the model’s self-critique and alignment. This is intended to make Claude more ethical, harmless, and less prone to bias.
Model Tiers: Claude is typically released in three sizes—Haiku (fastest/cheapest), Sonnet (balanced), and Opus (most powerful for deep reasoning).
Context Window: Recent models like Claude 4.6 and Sonnet 4.5 support massive context windows of up to 1 million tokens, allowing them to process entire codebases or long legal documents in a single prompt.
Extended Thinking: A feature that allows the model to “think” longer on complex problems before responding, using advanced step-by-step reasoning.
Key Features & Innovations
Artifacts: A dedicated UI feature that lets users view and interact with generated code, websites, and diagrams in real-time.
Claude Code: A command-line interface (CLI) that functions as an agentic software engineer, capable of searching your system, editing files, running tests, and fixing bugs autonomously.
Claude Code Security: A specialized tool released in early 2026 for scanning codebases to identify and fix high-severity vulnerabilities.
Computer Use: A beta capability allowing Claude to interpret screen content and simulate mouse and keyboard actions to perform tasks across multiple apps.
Integrations: Claude now connects directly to enterprise tools like Microsoft Word, Excel, PowerPoint, and Zoom to automate report generation and meeting follow-ups.
Impact & Performance
Coding Excellence: Claude is widely regarded as one of the best models for programming, often used to build entire applications through “vibe coding” (conversational development).
Productivity Gains: Internal and external studies suggest Claude can reduce task completion time by up to 80% for complex tasks like legal research and software engineering.
Cybersecurity Breakthroughs: The Claude Mythos model (currently in limited release) has reportedly discovered thousands of zero-day vulnerabilities in major operating systems like Linux and OpenBSD.
Claude Code Project structure :
Claude Code Project structure
The .claude folder is a hidden directory used by Claude Code (an AI-powered terminal assistant) to store local state, configuration, and memory, allowing it to remember project details across sessions. It functions as a local workspace for Claude to manage instructions, custom commands, permission rules, and auto-memory.
Key Components of the .claude Folder:
CLAUDE.md (Crucial): A markdown file that acts as the primary instruction manual, containing rules, project context, and coding standards.
settings.json (Configuration): Controls permissions, defining which tools Claude can use and what files it can read.
commands/ (Custom Tools): A folder for storing markdown files that create custom shell commands (e.g., /project:review).
rules/ (Specialized Guidance): Contains specific coding conventions or guidelines that supplement CLAUDE.md.
skills/ (Actionable Workflows): Used to store multi-step workflows that Claude can execute, such as code analysis or formatting.
agents/ (Subagents): Defines specialized AI subagents with specific system prompts and tool access.
memory/ (Persistent State): Stores auto-generated notes and context about the project’s codebase, architecture, and previous tasks.
Two Types of .claude Directories:
Project-Level (.claude/): Created at the root of a project, shared with the team via git.
Global-Level (~/.claude/): Located in the user’s home directory, storing personal configurations and memory that apply across all projects.
Important Notes:
Safety: It is safe to delete, but doing so resets the model’s memory of the project.
Gitignore: It is highly recommended to add the .claude folder to .gitignore to avoid committing local environment state.
Structure: It is recommended to keep CLAUDE.md under 200–300 lines to maintain high adherence.
Tennis is a global racquet sport played individually (singles) or in pairs (doubles) on a rectangular court with a net, with roots tracing back to 12th-century France and its modern form emerging in 19th-century England.
Overview of Tennis
Core Objective: Hit a ball with a racquet over a net into the opponent’s court, ensuring they cannot return it validly.
The “Grand Slams”: The four most prestigious annual tournaments are Wimbledon (1877), US Open (1881), French Open (1891), and Australian Open (1905).
Evolution: Began as “Real Tennis” (indoor/aristocratic), evolved into “Lawn Tennis” in the 1870s, and transitioned from “Amateur” to “Open” (professional) in 1968.
Surfaces: Grass (Wimbledon), Clay (French Open), and Hard courts (US/Australian Open).
Detailed Historic Timeline by Era
1. Origins & “Real Tennis” (Before 1870)
12th Century:Jeu de paume (“game of the palm”) originates in French monasteries, played with bare hands.
16th Century: Strung rackets appear; “Real Tennis” becomes popular among European royalty.
1858-1865: Major Harry Gem and Augurio Perera develop an outdoor version, combining rackets and Pelota in England.
2. The Birth of Lawn Tennis (1870–1913)
1873: Major Walter Clopton Wingfield patents Sphairistiké (later “lawn tennis”) and publishes rules.
1877:First Wimbledon Championships held at the All England Croquet Club; Spencer Gore wins.
1881: First U.S. National Lawn Tennis Association championship (US Open) held.
1884: Women’s singles introduced at Wimbledon; Maud Watson wins.
1900: The Davis Cup is established for international men’s team competition.
3. The Amateur Era & Rise of “Shamateurism” (1914–1967)
1913: International Lawn Tennis Federation (ILTF) founded to standardize global rules.
1920s: Suzanne Lenglen (France) and Bill Tilden (USA) dominate, increasing global popularity.
1937: First tennis match broadcast on radio.
1938: Don Budge wins the first true “Calendar Grand Slam”.
1940-1945: World War II halts major tennis tournaments.
1957: First metal tennis racket invented (Wilson T2000).
4. The Open Era & Modernization (1968–1989)
1968:The “Open Era” begins: Grand Slams allow professionals to compete with amateurs.
1970: Tiebreak introduced to replace never-ending final sets (first at US Open).
1972: ATP (Association of Tennis Professionals) formed.
1973: WTA (Women’s Tennis Association) founded; Billie Jean King wins the “Battle of the Sexes”.
1975: Players allowed to sit on court during change of ends.
1980s: Rackets transition from wood to graphite, increasing speed and power.
1988: Tennis returns to the Olympics (since 1924).
5. The Power and Data Era (1990–Present)
1990s: Dominated by Pete Sampras and Steffi Graf; high-speed serve-and-volley tennis flourishes.
2000s: Rise of the Federer-Nadal-Djokovic era; power baseline tennis becomes dominant.
2005: Hawk-Eye technology for electronic line calling is introduced.
2007: WTA and Grand Slams introduce equal prize money for women.
2020s: Continued dominance of Novak Djokovic; introduction of technological tools, including on-court coaching and digital line calling.
Equipment Evolution Timeline
16th-19th Century: Wooden frames with natural gut strings.
1957: First steel metal racket patented.
1970s: First yellow tennis balls introduced (for better TV visibility).
Late 1970s-1980s: Graphite rackets become standard, replacing wood and metal.
1990s-Present: Composite materials (kevlar, carbon fiber) and “widebody” frames.
Tennis overview and detailed historic timeline by era and year
The Liverpool docks system represents one of the world’s most significant maritime developments, evolving from a small tidal inlet into a 7.5-mile interconnected network that handled 40% of global trade by the late 19th century. Starting with the world’s first enclosed commercial wet dock in 1715, Liverpool pioneered dock technology and fireproof warehouse construction, eventually becoming the “New York of Europe”.
Timeline of Development by Era
1715–1815: The Rising Port & Global Trade
This era saw Liverpool’s rapid ascent driven by trade with the Americas and the city’s heavy involvement in the Atlantic Slave Trade.
1715: The Old Dock opens as the world’s first commercial wet dock, allowing ships to unload regardless of the Mersey’s high tidal range.
1753: Salthouse Dock (originally South Dock) opens to service the nearby saltworks.
1765: Three Canning Graving Docks are built for ship maintenance.
2004: Liverpool’s waterfront is designated a UNESCO World Heritage Site (status revoked in 2021).
2009: The Liverpool ONE shopping complex is completed on the site of the Old Dock, with parts of the original dock walls preserved for tours.
2016: Liverpool2, a new deep-water container terminal, opens at Seaforth to handle the world’s largest ships.
For further reading on the structural and strategic history, you can find Liverpool Docks: A Short History by David Paul at Hive.co.uk or used copies at AbeBooks.co.uk.
Liverpool Docks Overview and Historic Timeline by Era and Year
Modern golf originated in 15th-century Scotland, where it was played on coastal linksland with wooden clubs and leather balls. While earlier stick-and-ball games like the Roman paganica and Dutch colf likely influenced its development, Scotland is credited with formalising the game into the sport known today.
Comprehensive Overview of Golf Eras
Ancient Origins (Pre-1400s): Various cultures played stick-and-ball games, including the Roman paganica (1st century) and the Chinese chuiwan (960–1279 AD).
Early Scottish Era (1400–1743): Golf took shape in Scotland. It was famously banned by King James II in 1457 to prioritise archery practice. The ban was later lifted by King James IV in 1502, who became an avid player himself.
The Enlightenment & Formalisation (1744–1850): The first official golf clubs were formed, and the first “13 Rules of Golf” were written by the Honourable Company of Edinburgh Golfers in 1744.
The Victorian Boom & Expansion (1851–1900): The Industrial Revolution and the birth of railways allowed golf to spread globally. The first Open Championship was held in 1860, and the United States Golf Association (USGA) was founded in 1894.
The Modern Professional Era (1901–Present): Professional organisations like the PGA of America (founded 1916) and the PGA Tour (spun off in 1968) formalised the competitive circuit. The late 20th century saw the rise of global icons like Jack Nicklaus and Tiger Woods.
Detailed Historical Timeline
Origins & Royal Influence
1457: King James II of Scotland bans golf (“ye golf”) via a parliamentary decree because it distracted soldiers from archery.
1502: King James IV lifts the ban after signing the Treaty of Perpetual Peace with England; he commissions the first custom set of clubs.
1552: First recorded evidence of golf played at St Andrews.
1567:Mary, Queen of Scots, is recorded playing golf; she is credited with coining the term “caddy” (from the French cadets).
1618: The “feathery” ball (leather stuffed with boiled goose feathers) is invented, replacing primitive wooden balls.
1659: First reference to golf in America—a ban on playing in the streets of Albany, New York.
Era of Clubs & Rules
1744: The Gentlemen Golfers of Leith (later the Honourable Company of Edinburgh Golfers) form the first official club and establish the first 13 rules.
1754: The Society of St Andrews Golfers is founded; it later becomes the Royal and Ancient Golf Club (R&A).
1764: St Andrews reduces its course from 22 holes to 18 holes, establishing the global standard.
1766:Royal Blackheath is formed near London, the first golf club outside Scotland.
1810: First recorded women’s golf competition is held at Musselburgh Links, Scotland.
1848: Invention of the “guttie” ball (made from gutta-percha), which was cheaper and more durable than the feathery.
Jackson Structured Programming (JSP) was developed by British software consultant Michael A. Jackson to provide a rigorous, data-driven alternative to the intuitive “top-down” methods prevalent in the 1970s. Its evolution is characterized by a transition from micro-level program design to macro-level system architecture.
The Early 1970s: Foundation and Invention
1970: Michael Jackson founded his firm, Michael Jackson Systems Limited, to fully develop a new program design methodology.
1974: The name Jackson Structured Programming (JSP) was coined by the company’s Swedish licensee.
1975: Jackson published the seminal book Principles of Program Design, which formally documented the JSP method and is now considered a classic.
The Late 1970s: Standardisation and Expansion
1977: JSP reached global recognition, being taught in universities and used across Europe, the US, and Asia.
Government Adoption: The UK government adopted JSP as its standard program design method under the name SDM (System Development Methodology).
Industry Use: Large organisations like the World Health Organization (WHO) began using JSP as a standard for specifying programs.
The 1980s: Evolution into System Development (JSD)
1980: Jackson published JSP, A Practical Method of Program Design, further refining the technique for practical industry use.
1982–1983: Jackson, along with John Cameron, introduced Jackson System Development (JSD). While JSP focused on individual programs, JSD expanded these principles to entire systems.
Integration: JSD was widely incorporated into the UK’s SSADM (Structured Systems Analysis and Design Method), specifically for entity and event modelling.
The 1990s to Present: Legacy and Modern Relevance
1990s: Jackson introduced his third major method, Problem Analysis (or the Problem Frames Approach), focusing on requirements and software specifications.
Legacy: While JSP has faded from mainstream daily practice due to the rise of Object-Oriented Programming, its core concepts—like deriving program structure from data structures—influenced modern practices like Event Storming in Domain-Driven Design (DDD).
Jackson Structured Programming (JSP) Timeline by year
The history of cloud computing evolved from 1950s time-sharing concepts to today’s AI-integrated hyperscale ecosystems. While John McCarthy and J.C.R. Licklider envisioned computing as a global utility in the 1960s, the modern era truly began with the 1999 launch of Salesforce and the 2006 debut of Amazon Web Services (AWS).
Foundational Era (1950s – 1980s)
1955: John McCarthy introduces the theory of sharing computing time among a group of users.
1961: McCarthy proposes that computing will one day be sold as a public utility, similar to water or electricity.
1967: IBM develops the first operating system that allows multiple users to timeshare a single resource.
1969: ARPANET (Advanced Research Projects Agency Network) is launched, serving as the precursor to the modern internet.
1972: IBM releases the first version of its Virtual Machine (VM) operating system.
1977: The cloud symbol is first used in original ARPANET diagrams to represent networks of computing equipment.
The Rise of the Modern Cloud (1990s – 2009)
1996: The term “cloud computing” appears in an internal Compaq business plan.
1997: Professor Ramnath Chellappa defines cloud computing as a “computing paradigm where the boundaries of computing will be determined by economic rationale”.
1999: Salesforce.com launches, becoming the first company to offer business applications over the internet, pioneering SaaS.
2002: Amazon Web Services (AWS) launches as a suite of web-accessible tools for developers.
2006: AWS releases Elastic Compute Cloud (EC2) and Simple Storage Service (S3), marking the birth of modern IaaS.
2007: Netflix begins its transition to a video-streaming service using cloud infrastructure.
2008: Google releases Google App Engine, a platform for developing and hosting web applications in its data centres.
2009: Google Apps (now G Suite) launches, bringing browser-based enterprise applications to the mainstream.
Expansion & Specialisation (2010 – 2019)
2010: Microsoft officially releases Azure.
2010: NASA and Rackspace initiate OpenStack, an open-source project for cloud software.
2011: Apple launches iCloud, popularising consumer cloud storage.
PROject Templates 