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A Short History of Programming – Part 2 | @DevOpsSummit #Java #AI #ML #DevOps
Change blindness describes how normal people don’t notice massive, obvious changes in their environment
By: AppDynamics Blog
Apr. 10, 2017 02:00 PM
Code Compiled: A Short History of Programming - Part 2
This is the story of software. The initial blog in this series was all about the structural formation of programming languages. We went all the way back to steampunk days to see how the framework for programming grew out of Charles Babbage’s Analytical Engine in the 1840s. We ended up with a list of the most active programming languages in use at the moment. Now we’ll take the next logical step to examine what programming has done for enterprises and SMBs. We’ll also trace the effects of shockwaves in the world of databases, communications, and mobility.
Technological Change Blindness
Change blindness is happening right now on a societal level when you reflect on what programmable software has accomplished. Consider how radically our world has been transformed over the past two decades, partially due to hardware upgrades, but mostly due to programming.
In the last decade alone, we’ve seen society rebuilt due to the popularity of:
For anyone too young to have seen it or too busy to remember, here’s a recap of how business records and communications operated in the pre-software era.
Life Before Software
10 years ago
20 years ago
40 years ago
When Windows Were Only Glass
Customer data, billing, legal documents, and other important records were made of paper and stored in boxes. The boxes were usually kept in a giant file room that had to be kept updated daily. Security was often non-existent and a disaster like a fire could wipe out a business in minutes. Contacts were often kept on paper rolodex files and everyone had their own.
With the arrival of personal computers, software fundamentally changed all business processes, making them repeatable, transferable, and vastly more productive.
The Database That Changed the World
When IBM’s Ted Codd published his twelve rules for relational databases, it became the universal model for storing and structuring data. DB2 and its many children, like Percona and MariaDB, still underpin the global web. This led directly to Structured Query Language (SQL), Oracle, and the database wars of the 1980s. Today, software that has to manage the sheer volume and velocity of big data requires non-relational databases, but even these have their origins in Codd’s matrix.
The Grid and Cloud-Based Software
They imagined that software should be a metered utility, like electricity, where people just plugged into a grid of resources. Doing that depended on the development of effective cluster management and data residency. Clustered and networked computers used the rapidly developing internet protocols to fetch, process, and deliver data.
That meant that you had plenty of CPU capacity, but the actual machine doing the operations could be thousands of miles away. The connectivity speed of the communications channels hadn’t caught up to the network, generating delays in fetch and execution commands. Bottlenecks in I & O were common and cloud-based software started to gain a reputation for unreliability.
In terms of cloud security, the earliest threats are still the strongest: data breaches from malicious actors, data leakage from developer errors, identity blurring from insecure credentials, and APIs from untrusted sources. Today, whole industries are entirely reliant on cloud-based deployments despite the ongoing security challenges. SaaS was soon joined by Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). The mobile workforce revolution would not have been possible without it.
Mobile Software for Working Remotely
The mobile workforce revolution is tied closely to the development of BYOD (“bring your own device”) and “workshifting,” which is the process of moving work to non-traditional times and locations. The three software trends that made this possible were the business app ecosystem, tighter security management tools for remote logins, and data center control panels that could handle all that network traffic. Put them together and the traditional office starts to look more like an unnecessary capital expense whose main function is serve as a backdrop for press conferences. The IDC now projects that 72 percent of the US workforce will be remote workers by 2020.
Industries Without Supply Chains
The financial industry has been rocked by more disruptions than any other in terms of software created by SMBs as compared to other large enterprises. It has seen the introduction of new business models like crowdfunding, new forms of online currency like Bitcoin, data integrity disruptions like Blockchain, and new concepts in transactions like peer-to-peer lending.
We’ll go much deeper into these issues for the third and final blog in this series. We’ll look back at how programming changed banks and insurance companies with databases in the 1960s, then follow that through to the latest big data analytics driving capital markets today. You’ll see how programming and software advances have affected all business concerns, from precision marketing to risk management.
The post Code Compiled: A Short History of Programming – Part II appeared first on Application Performance Monitoring Blog | AppDynamics.
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