Welcome!

Java IoT Authors: Zakia Bouachraoui, William Schmarzo, Liz McMillan, Pat Romanski, Elizabeth White

Related Topics: Machine Learning , Java IoT, @DevOpsSummit

Machine Learning : Blog Feed Post

In Defense of Java By @AppDynamics | @DevOpsSummit #Java #DevOps

Not only does it remain the most popular programming language, but it may even be increasing its market share

In Defense of Java
By Kevin Goldberg

So we have an eBook, The Top 10 Java Performance Problems, that we tweet out from time to time. Without exception, a few people reply with some version of “the problem is you’re using Java.” Java, apparently, is constantly criticized, and people have been predicting its demise for some time. Sure, it’s not as cool, flexible, or fun as some of the newer, more dynamic languages such as Python, Node.js, or Ruby; however, Java remains an important language for applications everywhere.

Migrating from Java seems like a good scapegoat “quick fix,” but it’s not nearly as simple.

Not only does it remain the most popular programming language (more on this later), but it may even be increasing its market share.

Quick Java History
In 1984, Canadian James Gosling left IBM to join Sun Microsystems as an engineer. While there, Gosling began working on an idea he had thought up while in grad school, programming p-codes in virtual machines. In 1991, Gosling along with two colleagues, Mike Sheridan and Patrick Naughton, began working on the Java language project. They originally referred to the language as Oak, named after a tree outside Gosling’s office, but ultimately settled on Java. I guess a good amount of coffee went into the extensive project influencing the name.

Java was created on five main principles:

  1. Simple, object-oriented, and familiar
  2. Robust and secure
  3. Architecture-neutral and portable
  4. High performance
  5. Interpreted, threaded, and dynamic

In 1995, Java 1.0 was released to the public. Java was initially different because you could compile bytecode and run on all platforms that support Java without the need to reconfigure. This allowed developers to write once and deploy in a myriad of places. The language was also fairly secure and allowed network and file-access restrictions. Needless to say, it quickly took off, especially as Silicon Valley was approaching the first dot-com boom.

Starting in 2006, Sun Microsystems began converting much of the JVM software to open source, appealing to the developer community. However, after Oracle’s 2010 acquisition of Sun Microsystems, the versions of Java were licensed on a commercial basis.

Java’s Popularity
Because of Java’s principles and it’s early market share lead, the majority of large-scale applications were built using Java in some capacity. Typically nowadays, application environments are run on a variety of languages, but still have quite a bit of Java running the foundation.

Okay, so Java had an early lead, but with the rise of newer, better languages it must be declining, right?

Well, yes and no.

There are a few ways (and reports) you can look at measuring the popularity of programming languages. One of the most common and widely used reports is the PYPL PopularitY of Programming Language Index, which is based on Google search trends on language tutorials. In their monthly report, Java ranks #1 followed by Python and PHP.

According to the PYPL, Java has over 24% of market share versus other top languages, more than Python and PHP combined.

Another popular ranking system is TIOBE, which aggregates search engine queries (Google, Yahoo, Bing, Wikipedia, Amazon, and Baidu) and the number of worldwide engineers devoted to each particular language. In their monthly index, Java ranks #1 as well, but this time is followed by C, C++, and C#. What’s interesting to note, though, in this report Java was ranked #2 this time last year. This index seems to indicate Java is actually growing rather than declining which would seem counter-intuitive compared with the general public perception.

In those rankings, both TIOBE and PYPL refer to popularity by the amount of monthly searches each programming language has. However, another way to evaluate popularity is by the demand each coding language has in the job market. After all, new jobs could infer the language use is increasing too.

By analyzing Indeed’s job trends, the growth/decline of Java shows a different story. Though a yearly decline from 2012-2015 is fairly evident, the graph still shows the popularity of Java-related jobs over others. The blue line representing Java is still multiples above the relatively stagnant dynamic languages.

Indeed’s graph also supports the TIOBE rankings by showing Java increased in popularity between 2015 and 2016. Could Java be on the rise?

So What’s Next?
This all started with people responding on Twitter offering their solution of how to fix Java performance problems. Unfortunately, it’s not as easy as ditching Java and moving on. As we’ve shown, Java is still the predominant programming language in the market today, and judging by how you interpret the data, could be increasing too.

If you’re reading this you’re either a Java developer, someone who begrudgingly operates in a Java environment, or one of the clever Twitter jokesters. If you even remotely fit one of those buckets, I encourage you to start where this blog started, by reading our eBook, The Top 10 Java Performance Problems.

The post In Defense of Java appeared first on Application Performance Monitoring Blog | AppDynamics.

Read the original blog entry...

More Stories By AppDynamics Blog

In high-production environments where release cycles are measured in hours or minutes — not days or weeks — there's little room for mistakes and no room for confusion. Everyone has to understand what's happening, in real time, and have the means to do whatever is necessary to keep applications up and running optimally.

DevOps is a high-stakes world, but done well, it delivers the agility and performance to significantly impact business competitiveness.

IoT & Smart Cities Stories
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...