Jackson Structured Programming (JSP) Timeline by year

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

History of Cloud Computing 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.
2012: Oracle enters the market with Oracle Cloud.
2013: Docker introduces open-source container software, revolutionising application portability.
2014: Google launches Kubernetes for container orchestration, and AWS introduces Lambda, pioneering serverless computing.
2019: Microsoft Azure introduces Azure Arc, enabling services to run across various on-premises and cloud environments.

The AI & Edge Era (2020 – Present)

2020: The COVID-19 pandemic accelerates cloud adoption for remote work and education.
2022-2024: Cloud providers integrate GenAI and Machine Learning into core services, such as Microsoft’s alliance with OpenAI.
2025: Quantum-as-a-Service gains traction, with IBM providing cloud access to systems with over 1,000 qubits.
2026: Global spending on cloud services (SaaS, PaaS, and IaaS) is forecast to reach approximately $738 billion.