So my next question is:is assembly language as difficult as C++ or python or java? is it easier? No, it is orders of magnitude more difficult. Python and Java hide the details of the machine from you almost completely, you don’t need to know a thing about computers to program in them.

Unsurprisingly, Assembly is crowned the most difficult language to learn on a beginner level followed by Haskell.

However, learning assembly isn’t much more difficult than learning your first programming language. Assembly is hard to read and understand. Of course, it’s very easy to write impossible-to-read assembly language programs. It’s also quite easy to write impossible-to-read C, Prolog, and APL programs.

The same exe made in hand coded assembler is likely to be up to five times faster than the same exe produced by a c++ compiler.

C is considered a low level language because its level of abstraction related to the hardware, machine language (microprocessor’s opcodes expressed in hexadecimal commonly) being level zero, assembly language being level 1 and C being level 2 (so to speak), all the rest of languages are higher in that hierarchy (like …

COBOL already runs slower than C and the first release of Micro Focus OO COBOL will run significantly slower than regular COBOL because, like Smalltalk, all binding is dynamic.

It’s the zombie language that just won’t go away When you run a search for COBOL, Google serves up a delightful FAQ: “Will Cobol ever die?” (The answer, per Quora: “Cobol will die, but not in the very near future.”) Few coding courses still teach it, but it hangs around anyway. COBOL is hard to quit.

If you want a well rounded, fairly fast, feature packed standard library, easy to use language; C# is “lovely”. If you want an easy to use, cross platform language Python is a “lovely”. If you want something to simplify your game play programming, a language like LUA is “lovely”.

Companies Currently Using COBOL

Even though the language is fifty years old and there are many other popular and sleek programming options out there, COBOL is still an important part of our tech-driven world. …

According to Reuters, you can find 220 billion lines of code still in production. From many federal government agencies to your local bank, COBOL is still in use. An estimated 43% of banking systems and 95% of ATM swipes utilize COBOL code. Let’s take a look at the state of COBOL in 2020.

The approach of taking data, ingesting it into the mainframe computer, having that mainframe process the data and then get the output from it, is still the dominant use case for many COBOL applications. They run as a “job” either scheduled or on-demand. Mostly doing batch processing.

Criticism of COBOL is often based—if it is based on direct experience at all—on programs written 30 to 50 years ago. The huge monolithic programs, the tangled masses of spaghetti code, and the global data are all hallmarks of COBOL programs written long before programmers knew better.

While there may not have been enough COBOL programmers to fix New Jersey’s unemployment system, the language still runs the world’s economy. To people unfamiliar with the ins and outs of mainframe computing, COBOL was something from the age of the dinosaurs. …

Because of their superior processing power, mainframes can provide the protection of 100% end-to-end encryption without degrading performance. In fact, IBM claims that its mainframes encrypt data 18 times faster than x86 platforms at just 5% of the cost.

Of course Google doesn’t actually use mainframes to achieve its incredible response times and data management capability. Google is very much a scale out architecture, based on clusters of low cost machines, rather than a scale up, slice and dice architecture.

Industries where mainframes still matter

• Banking. 44 of the top 50 banks use IBM Z mainframes.
• Insurance. IBM z mainframes are used by all top 10 insurers worldwide.
• Healthcare. Healthcare, too, is an industry where data is now king – and so, by extension, are mainframes.
• Government.
• Aviation.
• Retail.

Financial organisations use the power and performance of supercomputers in a variety of ways: Detection of credit card fraud – supercomputers enable a bank to easily run more fraud detection algorithms against tens of millions of credit card accounts.

Today, mainframe computers play a central role in the daily operations of most of the world’s largest corporations. While other forms of computing are used extensively in business in various capacities, the mainframe occupies a coveted place in today’s e-business environment.

Through cryptographic hardware acceleration and secure operating system, mainframes fulfill the critical requirement of keeping the user and internal data protected. Analytical Speed: Banks cater to ATM operations, credit card usage, management of investment capital, and much more.

As of 2020, 44 of the top 50 banks and all top 10 insurers worldwide use IBM mainframes.

Instead of going the manner of the dinosaur as PCs and the client/server model evolved, Careers in mainframe remain loyal to heavy transnational applications. Dayton Semerjian, general manager for mainframes at CA Technologies, says, “The Careers in mainframe is alive and still has a great role in the world economy”.

The cloud computing revolution is the latest disruptive technology predicted to kill off the mainframe. More and more businesses are shifting their work to cloud-based infrastructures that offer increased collaboration and access to data practically anywhere.

Mainframes remain alive and well Folks have been predicting the imminent demise of mainframes for years. So far, they’ve been wrong. Although the roles of mainframes have certainly changed somewhat over time, mainframes remain essential in a number of major industries.

IBM was failing to compete with the new breed of innovative software companies and hardware producers who could make computers much more cheaply. “Prices for mainframe computers dropped, eventually they dropped by 90%,” says Mr Heller. It lost money, it lost market share and became a company in denial.

A private cloud environment can also be run using mainframes since they have all that’s required to do so: massive storage, huge amounts of memory, and workload virtualization capabilities.

High-Performance Mainframe Workloads on AWS with Cloud-Native Heirloom. With Heirloom on AWS, we can decouple the application from the physical mainframe hardware, allowing us to run applications in the cloud and take advantage of the benefits of Amazon Web Services (AWS).

The AWS Mainframe Migration Technology Partners category recognizes AWS Partners with proven technology and customer success, migrating both mainframe applications and data to AWS.

Mainframe is a client/server-based computer system. It has high processing power, memory, and storage to support massive data processing operations. Cloud computing is a distributed architecture of systems spread across Internet / web and used to store , manage, process and access data online.