Posts Tagged ‘Java’
Java brings a lot of popular and user-friendly frameworks, content management systems and servers that help to simplify the application development process, website management process and much more irrespective of the size and complexity of the project. When it comes to CMS, Java possesses a host of CMSs that have been highly recognized in the market, but one CMS that has gained great popularity and attention from the developers and companies across the world is Magnolia.
Magnolia is an open source content management system which delivers exceptional simplicity on an enterprise level, combining user-friendly usage with a standards-based and flexible Java architecture. Companies such as Airbus Group, Al Arabiya, Avis and Virgin America use it as the central hub for their web, mobile and IoT initiatives. Founded in 1997, Magnolia is a privately-held company headquartered in Basel, Switzerland. The company has offices around the globe, and customers in over 100 countries.
Making a good CMS to cater the needs of the clients is never an easy task, and the developers Magnolia knows this thing better. Hence, Magnolia brings some of the much needed features and functionalities for the enterprises.
• Magnolia comes with a smart cache, a built-in clustering capabiliy and distributed deployment architecture that easily decouples authoring from publishing and the possibility to develop load-balanced public servers to bring more throughput and availability.
• It also offer code highlighting for the designers & developers, easy integration of 3rd party frameworks, extendable workflow, J2EE compliance, RSS generation & aggregation and more for the customization.
• When it comes to designing, it brings standard-based templating in JSP and servlets, unlimited page and component design, Freemarker as a template engine, custom tag library to speed up templating and pluggable templating engine for the designers.
• It brings Open APIs, advanced caching strategies, unlimited scalability, clustering & load balancing, transactional activation and tons of other performance related features & functionalities for the enterprises.
• From the security point of view, Magnolia brings flexible user permissions using role-based user management and distributed architecture, which is a need of today’s enterprises.
• It also enables team work through concurrent editing, deletion, address book, workgroup collaboration and some other features.
Apart from all these, Magnolia also enables search engine optimization, content tagging, configurable workflow, content versioning, social media integration, multilingual support, multi-site management, mobile publishing and tons of other enterprise-scale functionalities.
However, like any other technology or platform, Magnolia also has some advantages and disadvantages. Let’s take a look at each of them:
• It’s an open source.
• User friendly, easy to use for Administrators/Content Editors/Authors
• Good set of standard components in the standard templating kit (STK)
• Very flexible, almost anything can be customized
• Vast set of open modules for many additional features
• Leverage from page-based site or navigation.
• It utilizes installer, but the WAR files can be used to redeploy it to some other place.
• Steep learning curve
• Inconsistent or lack of documentation
• Configuration via JCR-Tree can be error-prone and not very transparent
• Versions -4.5, 4.5+ and 5 all have shifts in paradigms
• Versioning and collaboration
All in all, Magnolia is a very promising CMS that integrates well into an enterprise java stack. It is predominantly suited for medium to large businesses where processes need deep integration and customizations. With regards to small businesses, Magnolia might be somewhat of an overkill.
How about you? Did you have a chance to work with Magnolia CMS? What is your attitude to it?
Please feel free to share with us your thoughts and experience here below.
Over the years dynamic languages such as Python and Ruby have become cherished by startups. As for .Net it is more rarely heard to be used by startups. That’s interesting indeed, because this platform is definitely bigger than most of the popular ones.
So I wonder why a platform as widely adopted and supported as .NET isn’t more visible in startup culture. Let’s try figuring out the main arguments in favor and against making .Net a startup technical choice.
1. Community culture
Some people say the main reason is the culture of the .NET community itself, not anything specific to the platform. Being centered mostly around the needs of enterprise market .NET developers’ concerns are often regarding supporting legacy systems, building enterprise architectures, large systems for supporting business processes. This implies solving problems which are not so relevant for startups at least at their initial point.
As for members of the startup community, they fuss over different issues – concurrency, experience design, supporting multiple clients and browsers, etc.
As a result the startup community and the .NET community don’t overlap as much as they do for other technologies. That’s why startup founders don’t get much exposure to .Net and don’t think of it as an applicable tool for their purposes. The same way many .Net developers who want to work for hot startups don’t have as many opportunities to do so unless they abandon the platform for a more startup-friendly one or start a company themselves.
So platform doesn’t always dictate its use – that’s people who make the choice. Enterprise and startups aren’t mutually exclusive – they’re just different stages in the evolution of software, and there’s no reason why the startup community shouldn’t look at .NET as an attractive starting point for a new business.
2. Startup tech compatibility
A startup is a risky venture with no guarantee of success. So tech startups seek advantages in order to succeed. Hence startups take what big enterprises consider risky bets on technology. This objective can be achieved by using technology that is popular in startup environment.
Many features of .NET, facilitating the productivity of big companies, are not always useful to startups. There is too much choice of implementation methods. If anything, web startups are looking to have this choice taken away – their technology choices come from the subset that is built for the web.
Also it is said that innovation is quicker with other ecosystems which have a bigger set of libraries and tools. As for .Net there are a few open source projects however most of them are pretty much an implementation of concepts that have already been implemented for a while in the Java world, for example.
3. Open source vs proprietary
Although many startups don’t mind paying for tools and services, most of them still pick things based on cost. For a long time the “enterprise” level tools, services, databases, etc were hardly affordable by startups. That’s why startups adopt so much open source.
It’s also hard to justify the use of proprietary software from a business perspective. If you want to be acquired it is wise to develop your product using an open stack rather than Microsoft’s.
However luckily for many startups Microsoft saw a huge value in giving their stuff away to startups and startups have benefited greatly. Microsoft has been running their Bizspark program for several years, which eliminates most of the startup costs normally associated with employing a .NET framework. To get into the BizSpark program you just need to get checked by BizSpark team if your startup is eligible (developing a real product). Then you’ll get free licenses to basically every product they make, including SQL Server, and a free MSDN gold subscription, for 3 years. They figure 3 years is long enough for you to get going so after that they want you to pay for new licenses. The great part is that they let you keep the licenses you’re already using. So Microsoft has basically taken the cost factor completely out of the equation for new startups.
4. Velocity vs performance
Some people say that it’s all about the velocity. If you agree with an assumption that a startup goal is to find a niche vs build a product, then the goal of a startup is to learn about the market, customers, and product needs as quickly as possible. Python, Js, Ruby, etc allow you to iterate quickly without a lot of infrastructure and boilerplate. However a company that has already has a market has a little different goal, for them the objective is to build a stable product that they can maintain.
Some people say that .Net is not suitable for quick changes. This is a pretty outdated view of C# these days, it’s actually fairly easy to write extremely terse code with. As an added bonus refactoring is so incredibly easy compared to JS, Ruby, Python, etc. that it’s ideal for rapidly switching directions in code as you can refactor so fearlessly without being slowed down by massive amounts of tests. Unfortunately what’s bad about .Net is the tooling and the supporting ecosystem.
Python is much better suited to quick prototypes that can be fleshed out into a reasonably reliable product without too many headaches. The key difference comes when you have to change features mid-stream. The lack of strict typing and interfaces means you can add, change, and remove features much quicker than C# for example. On top of that, you just write fewer actual lines of code to get the same thing done, although sometimes readability can suffer if you get too concise. There is a price to be paid with Python and Ruby though and performance is the biggest one.
5. Team and project size
The team and project size always matters. So when the solution is being built with a small team, then it is easier to use something like Python. Obviously the goal is to be fast to develop in and have a bunch of libraries to be used. On the other hand when building something with a big team, you feel like using something like C#. In this case it keeps it safe to develop in and easy to catch mistakes. Any optional documentation provided by a developer is incomplete. On the contrary the quality level of the available .Net documentation is outstanding.
However if the company is starting as very small at the initial point, it hopefully grows and builds up quite a sizeable codebase by some point. Python, JS & Ruby are fine for small programs but anything more than that and they become their own enemies because the programs they make are quite brittle.
The common opinion is that .Net scales well.So, if your startup does make it, you’ll probably have a much easier time scaling the .Net stack than you would with say Ruby or PHP.
Conclusion: it’s all about stereotyping
Eventually, I found different opinions on my question of .Net being not so popular with startups such as “platform lock-in,” “no open standards,” “licensing costs.” Sure, these are issues preventing many developers from adopting .NET in the startup space, but not enough to bar all of them from using it. Most of the arguments are just stereotypes that can be dispelled under closer examination.
All languages have strengths and weaknesses. For a startup, you need to do due-diligence and research what the right language to use for your idea will be because recoding in a different language can get costly.
So do you use .Net in your startup projects? Please share your feedback and experiences with us.
The IT sector is flourishing. If you’ve used a computer for at least a couple of times in the last few years, you’ve probably noticed this. I’ve noticed it myself even more after a business trip to Stockholm where I was lucky to attend some conferences and learnt more about Swedish IT industry tendencies. These tendencies reflect our life in general. Life changes rapidly with new technologies bursting into it. And when it comes to programming languages, we get a chance to see very different trendy styles. Programming languages which were popular some years ago are not useful today. And no one can exactly predict which programming language will be popular in future. That’s why a programmer who wants to stay in developer fields has to adopt the right programming language from time to time.
As the Swedish software maker Erik Starck pointed out, “programming is about managing complexities”. And it’s really so. An understanding of at least one programming language makes an impressive addition to any CV nowadays.
It is also very difficult to get the exact number of users for any programming language. Many of us use multiple programming languages. The more experience you have, the more programming languages you use. The more programs you write or work with, the chances of using more languages rise. The larger the company, the more languages you’re likely to use.
There are a number of ways to measure the popularity of a programming language, for example, based on the number of: 1) new applications written in the language; 2) existing applications written in the language; 3) developers that use the language primarily; 4) developers that use the language ever; 5) web searches; 6) available jobs that require skills in the language; 7) developers’ favorites, etc.
My survey attempts to rank which programming languages are most popular in Sweden, each using a different measure. So, they are the following:
Python is an object-oriented programming language which allows developers to work quickly while integrating their systems more efficiently and effectively. Designed by Guido van Rossum in 1991, Python is one of the most easy to use programming languages.
Python is characterized by its use of indentation for readability, and its encouragement for elegant code by making developers do similar things in similar ways.
Top Employers: Amazon, Dell, Google, eBay, Instagram, Yahoo
Java is a class-based, object-oriented programming language founded by Sun Microsystems in 1995. Java is one of the most in-demand programming languages today for many reasons. First of all, it is a well-organized language with a strong library of reusable software components. Secondly, programs written in Java can run on many different computer architectures and operating systems because of the use of the JVM (Java virtual machine).
Top Employers: Amazon, Deloitte, Sun, eBay, Symantec Corporation, Cisco Systems, Samsung
C++ is a compiled, multi-paradigm language written as an update to C in 1979 by Bjarne Stroustrup.
Due to its high-level compatibility and object-orientation, C++ is used for developing a wide-range of applications and games which makes it a popular and sought after programming language by the employers.
Top Employers: Intel, the Math Works, Microsoft, Qualcomm, Amazon, Mozilla, Adobe, Volvo
Ruby is an open source, dynamic programming language designed by Yukihiro Matsumoto in 1995 with a key focus on productivity and simplicity .It is one of the most object-oriented languages in the world.
Ruby is a mix of elegant syntax which is easy to read and write and hence it has attracted many organizations and developers.
Top Employers: Spokes, VMware, Accenture, Cap Gemini, Siemens, BBC, NASA
Top Employers: Microsoft, Sales Force, IBM, Yahoo, Dell
C# is a compiled, object-oriented language developed by Microsoft.
It is highly used on Windows platform and labelled as the premium language for Microsoft .NET framework. C# is known for strong typing, procedural and functional programming discipline which is the reason it has acquired so much popularity.
Top Employers: Microsoft, HP, Digi-Key Corporation, Allscripts, Intel
Those are the top 6 programming languages which are in great demand among Swedish developers.
And one more thing: remember that opinions are like noses, everyone has one and they all smell ;) If you disagree, please feel free to email me or write your own opinions in the comments.
Working with many startups I was wondering recently why Python and Ruby are so popular and common with young and promising startups, especially Scandinavian ones as my experience shows. I am curious if anyone has analyzed the trend towards Python over Ruby with startups? Also I would like to find out what are the advantages of Python over Ruby if they are so?
I think a lot about choices and decisions at startups. Picking the language/platform to use at a startup is one of the harder decisions. Here I would like to mention the fact that most of startups today make their choice toward Python or Ruby over PHP or Java. From what I have read, PHP is just an inferior language to Python and Ruby. Even though a lot of people are using PHP because it is easy to get started, it seems to be easier to develop bad habits with PHP. Why jump on a bandwagon when you obviously know is broken? I’ve come to realize that the main reason why PHP gets into trouble with the purists is that there are just so many ways of doing one thing — it is not that standardized. I think it became the most popular language only because it’s so easy to pick up!
Python/Ruby win over Java on speed of development, and conciseness of code. This generally makes Python/Ruby a better choice for small startups for whom speed to market, and ability to implement new features matters most. Most of the modern sites chose Python when they were small startups. Only later did they have to scale. Websites tend to be horizontally scalable, meaning that for a surprising range of volumes of traffic you can just throw more webservers at it and the bottlenecks will be at other layers (for instance the database).
Searching for relevant information to compare both Pyton vs Ruby languages and analyzing customers’ demand on the software development market I found out that Python appeared to be the more popular choice for startups trying to get a minimum viable product launched and seek out potential venture capital.
This has less to do with the merits of either language and more to do with the philosophies of the frameworks represented by either language. RoR really can’t be beat as a rapid application development framework, and developers discussing Ruby on the web are generally referring to RoR. Django purports to do the same, but the overall philosophy of the python community is more minimalistic – python developers generally prefer to make their own selection of tools such as ORMs, Persistency layers and libraries. A lot of people start Python web development with Django but move on to something more minimalistic like Flask, simply because the community seems predisposed to building its own stack in this way. RoR is more opinionated, and developers who are more predisposed to hitting the ground running, especially in the startup field, often take the Ruby fork in the road.
There is a “coming of age” point for startups coming from RoR or PHP, however. I’ve heard about several companies who had this exact same experience and ended up moving towards something like Python or Scala. I’m not certain this is specific to python, but I can say that as startups grow and become more ambitious, they move into problem domains poorly represented strictly by web frameworks/languages. Search features and data extraction increasingly rely on advanced data mining techniques utilizing things like natural language processing and find they need to reengineer their stack a little to accommodate new ideas. Increasingly I see companies not abandoning their RoR/PHP/Django frontends, but creating separate REST APIs that almost always use bare python or a JVM language to take advantage of more complex computation outside of the HTTP req/response model. Ruby could be used for this kind of offline processing, but the toolkits are just better and more mature in other languages since RoR is so prevalent in the Ruby community and consumes a great deal of the mindshare.
The fact of the matter is that most web startups represent feature sets early on where development speed is the prime concern, and so the language/framework with the biggest potential hire base and best RAD features typically win out early on.
As my personal point of view that no single language can answer every problem satisfactorily, and it is foolish to stubbornly stick to a single language for every case. Nevertheless a lot of our clients stick to Python when starting up their business. Let’s try to see what are the advantages of Python over Ruby?
The two are more similar than they are different, in everything from design to disadvantages to common uses – you can’t really go wrong either way, and shouldn’t base your decision on syntactical differences.
As Ruby developers say, Python’s main advantage has nothing to do with the language’s features. It’s more subjective: it seems that Python has more momentum amongst serious computer scientists. It’s increasingly popular in academic and scientific applications, and a lot of the technologists I respect the most seem to prefer it. By comparison, the Ruby community feels more designer-y and relatively more novice.
What this means is that while the Ruby world has very slick out-of-the-box product solutions, the Python world seems to produce more exceptionally well-written components like Tornado (web framework). Combined with it being used at Google and the potential for stuff like LiveNode to be released as open-source, I’d cast my lot with Python if I were starting today.
Thinking Python may be the best choice of startups, what is your opinion on this?
Looking forward to hearing from you!