Credits : Techengage

Web development is a versatile field offering undergrads plenty of job options. But many students don’t know how to start. It seems to them that employers don’t hire people without experience or that competition in the IT industry is too high. So they often become discouraged and convince themselves they can’t make the running.

But let’s see what prospects await you. There is a growing demand for web developers. It’s driven by information technology development, adoption of e-commerce, and virtual reality technology. According to the experts, web developers’ employment is projected to increase by 13 percent from 2018 to 2028, which is much higher than the average for all professions. So employers are willing to hire specialists even with little to no experience. And your task is to be a promising candidate they’re looking for.

So, where to begin?

Learn and practice

Start with the basics. A good web developer should have mastered HTML, CSS, and JavaScript. Besides, they should have experience with CSS frameworks like Bootstrap, Backbone, and Foundation and be familiar with back-end languages like Ruby, Java, and PHP.

Good if you are already studying these fundamentals at a college or university. If not, sign up for a few programming courses at online learning platforms like Codeacademy, Udacity, W3Schools, etc. But remember that getting a degree in computer science isn’t an essential requirement to obtain a job in IT, but it will definitely give you a competitive advantage. Try to enhance your skills through practice and experience, and to make sure you have enough time for that.

Having a lot of practice is indispensable at this stage. Gain experience by building applications or websites, tinkering around it until it turns into something worthwhile and functional. Your work might not look like the greatest website in the world, but if you get the site working, it’s a huge accomplishment.

Have projects to show off your skills

When you’ve got enough practice under your belt, it’s time to demonstrate your skills. The creation of a personal project can become a crucial factor contributing to your success.

Put yourself in an employer’s shoes. You’re coming in with little to no experience, so how will the company know that you can actually do the work, and you’re not just wasting their time? The answer lies in a well-developed, and elaborate personal project. It’ll not only show what you’re capable of but also tell that you’re passionate about the thing you do. Otherwise, you wouldn’t have invested so much time into a personal project unless you really enjoyed coding. In addition, it’ll show that you can work on your own. So, work on your own project and make sure it looks professional. Because depending on its quality, your employer will draw a conclusion on how you’re going to code on their team.

Create a unique CV

The next advice is pretty obvious, but it works 100%. Write a CV that really stands out from thousands of other impersonal pieces of paper. The last thing you want is to type it on a blank, boring document and use generic business jargon, right? An eye-catching and thought-out CV is of vital importance when applying for a job in major companies. They receive a huge number of CVs every day, and you don’t want yours to be missed out on, right?

To enliven your CV, use one of the pre-made themes in Microsoft Word. Add some details and recommendations from your teachers, professors, and past employers if you have any, but not overdo it. A good rule of thumb is the more specific your CV is to the position that you’re applying for, the better.

Don’t stop applying

It is probably the key step, the point where all the magic happens. Everything you’ve done before was about setting yourself up for success in this stage. And now, when you’ve got a high-end personal project, and a catchy CV, you can take action. Don’t expect to get your dream job after applying for five or ten positions. Then you’ll simply get disappointed when being rejected or ignored.

So how many applications should you send? Perhaps this number will reach 100 or 200, or even more. Before wondering how long will it take to land a job, look at the situation from a different angle. Assume that 1 out of every 30 applications will get a response. That means that the more applications you send, the quicker you’ll get those enough responses, and your dream job. As someone once said, if opportunities don’t knock, build a door.

So instead of just dreading rejection where you don’t hear back from an employer, think of it as you’re only one step closer to getting the job that you’d love.

Take risks and any chances

Don’t think that you are not qualified enough for that big company or that they won’t hire you because of your young age. Try, and you’ll get the answer! Strive to work for the exact human being that you aspire to be. If you want to work for Google or Samsung, apply for the position you want. Don’t waste your time. If getting a refusal, get back to the previous tip. Take risks if you know that it can lead you to success. Start working, take some freelance projects, maybe for free, or for the minimum salary at the beginning, and you’ll gradually grow as an expert web developer.

To draw the line

Companies want employees who can code and build great sites and apps, and how or where they’re studying is a secondary question. It really is. Your goal is to show your skills and strengths competently. And don’t be disturbed by tight competition in the IT industry. The number of potential employees corresponds to the number of vacancies so everyone will find their place. Dedicate time to developing yourself, and you’ll achieve success in the IT industry.

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Credits : Automotiveworld

Experts from Synopsys discuss the challenges and security risks of connected and autonomous vehicles (CAV), with a particular focus on high-risk areas such as wireless connectivity and autonomous driving functionality. To address these challenges, Synopsys presents several solutions for secure software development and testing, which allow for the finding and fixing of bugs and vulnerabilities earlier in the software development lifecycle.

Key topics and takeaways:

  • Understanding of high-risk areas for CAVs
  • Examples of relevant vulnerabilities and threats
  • Solutions for secure software development and testing
  • How to find vulnerabilities earlier in the software development lifecycle
  • How to reduce security risks in CAVs before production

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If you’re a newly hired software engineer, setting up your development environment can be tedious. If you’re lucky, your company will have a documented, step-by-step process to follow. But this still doesn’t guarantee you’ll be up and running in no time. When you’re tasked with updating your environment, you’ll go through the same time-consuming process. With different platforms, tools, versions, and dependencies to grapple with, you’ll likely encounter bumps along the way.

Austin-based startup Coder aims to ease this process by bringing development environments to the cloud. “We grew up in a time where [Microsoft] Word documents changed to Google Docs. We were curious why this wasn’t happening for software engineers,” says John A. Entwistle, who founded Coder along with Ammar Bandukwala and Kyle Carberry in 2017. “We thought that if you could move the development environment to the cloud, there would be all sorts of cool workflow benefits.”

With Coder, software engineers access a preconfigured development environment on a browser using any device, instead of launching an integrated development environment installed on their computers. This convenience allows developers to learn a new code base more quickly and start writing code right away. It also makes it easier to update the different components of a development environment, maintaining consistency across the team. Moreover, this setup could benefit companies shifting to a remote workforce, especially with the COVID-19 pandemic forcing people to work from home.

Because Coder’s development environments run in the cloud, software engineers can take advantage of more processing power to perform intensive computing operations. “Even doing something as simple as cloning a repo[sitory] happens in a matter of seconds because you’re using the cloud network rather than your local Internet connection,” Entwistle says.

Yet cloud-based platforms have their limitations, the most crucial of which is they require reliable Internet service. “We have support for intermittent connections, so if you lose connection for a few seconds, you don’t lose everything. But you do need access to the Internet,” says Entwistle. There’s also the task of setting up and configuring your team’s development environment before getting started on Coder, but once that’s done, you can share your predefined environment with the team.

To ensure security, all source code and related development activities are hosted on a company’s infrastructure—Coder doesn’t host any data. Organizations can deploy Coder on their private servers or on cloud computing platforms such as Amazon Web Services or Google Cloud Platform. This option could be advantageous for banks, defense organizations, and other companies handling sensitive data. In fact, one of Coder’s customers is the U.S. Air Force, and the startup closed a US $30 million Series B funding round last month (bringing its total funding to $43 million), with In-Q-Tel, a venture capital firm with ties to the U.S. Central Intelligence Agency, as one of its backers.

“We’re a solution that helps [the U.S. Air Force] keep security measures in place while also enabling their engineers to be more productive,” Entwistle says. “All development is done on their infrastructure, which means there’s no source code on computers and an engineer’s laptop is no longer part of the cyberattack surface. Because of the way we’re deployed and the benefits of moving sensitive intellectual property away from the end user, we’re a good fit.”

For future releases, Coder is looking to expand into data science and add more features to support collaboration among teams. But their main focus will always be bringing software development to the cloud. “We want to remove the friction an engineer experiences so they can get back to doing what they love—which is to write code,” says Entwistle.

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Credits : Eletimes

With the rise of Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT), applications are moving to the network edge where data is collected, requiring power-efficient solutions to deliver more computational performance in ever smaller, thermally constrained form factors. Through its Smart Embedded Vision initiative, Microchip Technology Inc. (Nasdaq: MCHP) is meeting the growing need for power-efficient inferencing in edge applications by making it easier for software developers to implement their algorithms in PolarFire® field-programmable gate arrays (FPGAs). As a significant addition to the solutions portfolio in this segment, Microchip’s VectorBlox Accelerator Software Development Kit (SDK) helps developers take advantage of Microchip’s PolarFire FPGAs for creating low-power, flexible overlay-based neural network applications without learning an FPGA tool flow.

FPGAs are ideal for edge AI applications, such as inferencing in power-constrained compute environments, because they can perform more giga operations per second (GOPS) with greater power efficiency than a central processing unit (CPU) or graphics processing unit (GPU), but they require specialized hardware design skills. Microchip’s VectorBlox Accelerator SDK is designed to enable developers to code in C/C++ and program power-efficient neural networks without prior FPGA design experience.

The highly flexible tool kit can execute models in TensorFlow and the open neural network exchange (ONNX) format which offers the widest framework interoperability. ONNX supports many frameworks such as Caffe2, MXNet, PyTorch, and MATLAB®. Unlike alternative FPGA solutions, Microchip’s VectorBlox Accelerator SDK is supported on Linux® and Windows® operating systems, and it also includes a bit accurate simulator which provides the user the opportunity to validate the accuracy of the hardware while in the software environment. The neural network IP included with the kit also supports the ability to load different network models at run time.

“In order for software developers to benefit from the power efficiencies of FPGAs, we need to remove the impediment of them having to learn new FPGA architectures and proprietary tool flows, while giving them the flexibility to port multi-framework and multi-network solutions,” said Bruce Weyer, vice president of the Field Programmable Gate Array business unit at Microchip. “Microchip’s VectorBlox Accelerator SDK and neural network IP core will give both software and hardware developers a way to implement an extremely flexible overlay convolutional neural network architecture on PolarFire FPGAs, from which they can then more easily construct and implement their AI-enabled edge systems that have best-in-class form factors, thermals and power characteristics.”

For inferencing at the edge, PolarFire FPGAs deliver up to 50 percent lower total power than competing devices, while also offering 25 percent higher-capacity math blocks that can deliver up to 1.5 tera operations per second (TOPS). By using FPGAs, developers also have greater opportunities for customization and differentiation through the devices’ inherent upgradability and ability to integrate functions on a single chip. The PolarFire FPGA neural network IP is available in a range of sizes to match the performance, power, and package size tradeoffs for the application, enabling customers to implement their solutions in package sizes as small as 11 × 11 mm.

Microchip’s Smart Embedded Vision initiative was launched last July to provide hardware and software developers with tools, intellectual property (IP) cores, and boards for meeting the thermally constrained and small-form-factor requirements of edge applications. Because PolarFire FPGAs deliver lower power compared to other solutions, customers can eliminate the need for fans in their enclosures. PolarFire FPGAs also offer more functional integration for a customer’s design. For example, in applications such as a smart camera, PolarFire FPGAs can integrate the image signal pipeline which includes the sensor interface, DDR controller, image signal processing (ISP) IP and network interfaces, all while integrating the machine learning inference.

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Credits : E3zine

One of the most discussed software architectures are microservices. In other words, the request to split the monolithic applications of the past into small, autonomous services. However, there are some issues with microservices: They are expensive – as they are required for unlimited scaling – and only work if the underlying culture is embraced in its entirety.

This raises multiple questions. For us in the ERP world, is unlimited scaling a requirement? Also, our applications are expensive enough and a complete shift of the whole application towards a different architecture is often impractical. Nevertheless, SAP has a couple of offerings built on microservices, and we can learn from these examples.

Microservices are autonomous

At its core, the microservice architecture requires each service to be fully autonomous. It has a well-defined network API to get data in and out, no other methods allowed. The decision of which technologies to use to implement the service is up to the responsible team. Sounds simple enough, but the decision has consequences.

A sales order service is trivial in the first cut. The service exposes an API to create, modify and change sales orders. All sales orders are persisted in a database with the sales order header and item table. It isn’t rocket science, right?

A sales order should reference existing customers and material master data, but these are other services and hence not part of our database’s tables. But if they are not part of this database, all features that a database provides for free, including transactions, enforcing foreign key constraints, fast joins and the like, need to be re-implemented on service level.

The obvious solution would be to make the database with its tables one service, and the business logic where sales orders are maintained would be another microservice. Something like a 3-layer service architecture with the UI layer, the application layer and the database layer. The application layer exposes function modules for the various operations and …. Did we just re-invent the R/3 architecture?

When using a single database to store all data, the data model is the monolith. As the data model is the core, a huge part of the application remains monolithic. Including all the negative side effects, like changing the table structures requires all other modules to be analyzed if they will be impacted. Changes need to be applied in the same manner.

The result is the opposite of autonomous. Calling that a microservice instead of a client-server architecture is purely semantic, I would argue.

Eventing and eventual consistency

The software industry’s answer to that problem is to use events as the information backbone. Every service broadcasts all changes made to the data and the interested parties can listen and persist the required data in their own database.

In the example of the sales order database, it would have tables with material master data and business partner records for reference, except that these extra tables cannot be modified. When the material service broadcasts the event, effectively saying, “There is a new material with the following data”, it is modifying the local reference table.

As every event has some delay, it might happen that the user created a new material record and ordered that material immediately after. The order service will get the material master event in a few milliseconds, but triggered right now it returns the error, “Material does not exist”.

Another issue is scaling within the service. In an optimally designed microservices architecture, the performance can be increased linear by starting more instances of the same service. For business logic, this is doable, but the database is the problem.

If all sales order services use the same database, they only scale as much as the weakest link. In a properly designed microservices architecture, each service instance has its own database and it is kept up to date via distributing the change events.

Another downside of each service having its own reference data is the size of the microservices. With every iteration the service requires more reference data until it is a copy of a large portion of the entire ERP system. Just the opposite of SAPs theme of ‘no aggregates, no data duplication’.

In my opinion, it was the right step for the ERP development team to resist embracing a microservices architecture in S/4 Hana.

API-driven architecture

Other properties of a microservices architecture include:

  • well defined APIs;
  • version tolerance of the APIs;
  • modularity;
  • and fault tolerance.

Using those as arguments to favor microservices is reversing cause and effect. Coming back to the R/3 architecture, the SAP ERP system has well-defined APIs to create sales orders, to read material master, and so on. Many of them have additional optional parameters, some exist in different versions. For sure the application is modular. With the client server architecture, there is at least some fault tolerance on application and presentation layers.

Does that make the R/3 architecture a microservices architecture? Of course not, it is just a properly built solution. These requirements are simply not exclusive to microservices.

SAP Cloud Platform’s microservices architecture

One area where SAP is following the microservices architecture is SCP.

Each service deployed is an isolated entity, publishes its APIs in a central registry – the API Hub – and multiple instances can be started to increase throughput.

The CAPM supports even eventing of services but ignores out of the box support of distributing change data across the database instances. SCP does not need that, as the database is used as a service as in a client server model and is not an intrinsic part of the service itself.

One way to look at it is that it combines the worst of both worlds: It scales like a client server architecture and adds the complexities of microservices. Security is maintained outside of the database, services need various bindings, services require defined routes, every service must serialize and deserialize the payload for data exchange, every service needs to reevaluate the user security, etc. In brief, simple things are tedious, complex tasks are extremely difficult.

SAP Data Quality microservices

Another example are the SAP EIM Data Quality services to validate and cleanse various aspects of address data.

For such an offering, a microservice architecture is perfect. The required address reference data is part of each service instance. There is no need to sync the data across instances due to the static of the postal data. The user sends a http request with an in-doubt address payload to the service and gets back the corrected address, the information on what has been corrected, and the confidence level. It scales perfectly and the overhead is little.


Microservices have two use cases as sweet spots. If unlimited scaling is required because the service might grow into millions of requests per hours, there is not much choice and a microservice architecture must be chosen, regardless of costs. If the desired service is stateless (does neither make changes in a database nor relies on a global application consistency), it will be autonomous anyhow. In that case, the result will be something microservice-like and then it makes sense to add the few additional concepts, e.g. documenting the API, versioning the API, etc.

For database applications, especially when one instance is used for a foreseeable number of users only, a microservices architecture is questionable.

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Credits : 3wnews

The new Application Development and Deployment Software Market report offers a comprehensive study of the present scenario of the market coupled with major market dynamic. Also, it highlights the in-depth market analysis with the latest trends, drivers and its segments with respect to regional and country. Further, this report profiles top key players of the Application Development and Deployment Software Market and analyze their market share, strategic development and other development across the globe

“ReportsnReports” also provides in depth study of “Application Development and Deployment Software Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organisation. The Application Development and Deployment Software Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organisation such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organisation.

The global Application Development and Deployment Software Market is expected to witness a promising growth in the next few years. The rising level of competition among the leading players and the rising focus on the development of new products are likely to offer promising growth opportunities throughout the forecast period. The research study on the global Application Development and Deployment Software Market offers a detailed overview, highlighting the key aspects that are expected to enhance the growth of the market in the near future. The key segmentation and the competitive landscape of the market have also been mentioned at length in the research study.

Analysis on Strategies of Leading Players: Market players can use this evaluation to gain competitive advantage over their competition inside the global Application Development and Deployment Software Market.

Scope of the Report:
The global Application Development and Deployment Software market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Application Development and Deployment Software.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Application Development and Deployment Software market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Application Development and Deployment Software market by product type and applications/end industries.

Market Segment by Companies, this report covers
– Hewlett-Packard
– CA Technology
– Microsoft
– Compuware
– Oracle
– GitHub
– Alphabet
– Gurock Software
– JetBrains
– Codenvy

Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
– On-premise
– Cloud-based

Market Segment by Applications, can be divided into
– Telecom Service Providers
– Government Agencies
– Cloud Service Providers
– Other

The Application Development and Deployment Software Market industry development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed, and overall research conclusions offered.

This report studies the Application Development and Deployment Software Market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Application Development and Deployment Software Market by product type and applications/end industries. These details further contain a basic summary of the company, merchant profile, and the product range of the company in question. The report analyzes data regarding the proceeds accrued, product sales, gross margins, price patterns, and news updates relating to the company.

Other than the aforementioned parameters which Application Development and Deployment Software Market report focuses on, another imperative objective of the report is to present the Application Development and Deployment Software Market development across the globe especially in North America, Europe, China, Japan, Southeast Asia, India and Central and South America. In the report, the market has been categorized into manufacturers, type, application and regions.

The report helps to identify the main Application Development and Deployment Software Market players. It assists in analyzing Application Development and Deployment Software Market competitive environment, including company overview, company total revenue, market opportunities, value, production sites and facilities, SWOT analysis, product details. The study also reveals the sales, revenue and market share for each market player included in this report for the period of 2015-2020. It also helps to ascertain the growth drivers and future prospects for the forecast timeline.

Conclusively, this report is a one stop reference point for the industrial stakeholders to get Application Development and Deployment Software Market forecast of till 2025. This report helps to know the estimated market size, market status, future development, growth opportunity, challenges, growth drivers of by analyzing the historical overall data of the considered market segments.

About Us: is your single source for all market research needs. Our database includes 500,000+ market research reports from over 95 leading global publishers & in-depth market research studies of over 5000 micro markets.

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Credits : 3wnews

Kenneth Research offers a comprehensive analysis of key market trends in the global Software Development Services market. It also includes discussion on historical trends, current market status, competitive landscape, growth opportunities and challenges which are backed by factful feedbacks. The report extensively provides the quantitative analysis of the industry from 2014-2026, by Region, Type, Application. Consumption assessment by application, production by type in different regions.

Furthermore, the report quantifies the market share held by the major players of the industry and provides an in-depth view of the competitive landscape. The market size in terms of revenue (USD) and production is calculated for the study period along with the details of the factors affecting the market growth (drivers and restraints). The worldwide market for the Software Development Services market will reach xxx Million USD in 2020 and is expected to grow at a CAGR of xx% 2021-2026.

Geographically, global Software Development Services market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including
Concur Technologies
Medidata Solutions

“The Final Report will cover the impact analysis of COVID-19 on this industry (Global and Regional Market).”

On the basis of product, we research the production, revenue, price, market share, and growth rate, primarily split into

For the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate of Software Development Services for each application, including
Manufacturing and Industrial Facilities

Production, consumption, revenue, market share, and growth rate are the key targets for Software Development Services from 2014 to 2026 (forecast) in these regions
Southeast Asia
South America

If you have any special requirements, please let us know and we will offer you the report as you want.

“The Final Report will cover the impact analysis of COVID-19 on this industry (Global and Regional Market).”

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Credits : Aithority

The speed of clinical trials depends largely on efficient custom software development for database and application design as supported by Arcadia

Where development of vaccines usually takes years, the U.K. could roll out 30 million doses of a Covid-19 vaccine as early as September, according to the British government, reports CNBC. Data science and artificial intelligence enables scientists such as the ones at Oxford Vaccine Group and Astra Zeneca to deliver life-changing medicines.

Arcadia works with Fortune 500 pharmaceutical companies designing and building high-load web solutions for digitisation, analytics, big data, reporting and AI, integrated with core business software, emphasises data load time, the quality of data and automated data integration process as the benchmarks for a successful project as medical giants tackle increasingly large amounts of data.

Some of the challenges that pharmaceuticals face are in optimising machine learning pipeline to deliver very fast and highly scalable calculation pipeline that uses different machine learning algorithms to learn and predict chemical compound activity to reduce the number of real experiments. As well as big data capabilities, it is crucial to have it possible to handle large amounts of data provided in different types and formats that are common in the scientific community.

As an industry leader in global medical safety custom software, Business Development Director responsible for Healthcare practice at Arcadia, Maxim Draschinsky explains: “Often times the customer has multiple teams with hundreds of people in total, which are involved in pharmacovigilance (PV) process across the globe.

“Since each team is responsible for its own part of the process, historically most of the process data capture was done using a simple set of tools like Excel spreadsheets, Access databases, Word documents, each team having its own set of files. This toolset does not meet present requirements as it slows down employee performance and does not prevent human errors; besides, there is a lot of duplication due to a lack of data integration.”

Arcadia’s goal is to increase employee productivity and concentrate on real business process tasks instead of spending time on data quality issues.

Arcadia, a multi-million pound British Standards Institute (BSI) certified company that works extensively with Fortune 500 companies provides the full range of custom software development services across sectors from education to pharmaceuticals and from retail to airlines.

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Credits : Express-journal
The Custom Software Development Services Market report upholds the future market predictions related to Custom Software Development Services market size, revenue, production, Consumption, gross margin and other substantial factors. It also examines the role of the prominent Custom Software Development Services market players involved in the industry including their corporate overview. While emphasizing the key driving factors for Custom Software Development Services market, the report also offers a full study of the future trends and developments of the market.The report on Custom Software Development Services market provides a thorough evaluation of this vertical. This assessment consists of a dual perspective – that of consumption and production. With regards to the production factor, the Custom Software Development Services Market report speaks about details regarding the manufacturing of the product, the renumeration along with profit margins of the firms that develop these products. Furthermore, information about per unit costs that these producers finalize for the products across several geographies in the predicted time period is inculcated in the report.The study also consists of data regarding the consumption aspect of the Custom Software Development Services industry. It provides details regarding the consumption volume as well as value of the product. A detailed information regarding the consumption along with production patterns in the upcoming years is predicted in the Custom Software Development Services Market report.
Custom Software Development Services market competition by top Manufacturers: 

The major players covered in Custom Software Development Services are:
EdgeRock Technology Partners
Lincoln Loop
Cooperative Computing
Mutual Mobile
Torry Harris Business Solutions and Radixweb

Custom Software Development Services Market Outlook by Applications: 
Large Enterprises and SMEs
Custom Software Development Services Market Statistics by Types: 
Cloud-based and Web-based
A brief of the regional landscape:
Information regarding a point-by-point assessment of the regional area of the Custom Software Development Services market is present in the report.
Data concerning production of the item type across these economies is described in the report. Moreover, information related to the renumeration and production capacity that each topography holds in the Custom Software Development Services market is provided in the report.
Custom Software Development Services Market Growth rate recorded over the forecast timeframe of each region is mentioned.
Information regarding the consumption volume, consumption value, import as well as export patterns is provided in the report.
Summary of the product segment:
The + Market research has been examined with regards to the product spectrum.
As per the research, the product type segment of the Custom Software Development Services market has been segmented into Cloud-based
Information associated to the returns amassed by every single product type sector is provided in the report.
Furthermore, data related to the product consumption graph is described in the report.
An outline of the application terrain:
According to the Custom Software Development Services Market Analysis report, the application landscape has been divided into Large Enterprises
The research contains data regarding the product manufacturing, which is production techniques, unit price, etc.
Data about revenue related to each application segment is included.
Data related to competitive reach:
The report speaks about summary of the Custom Software Development Services market competitive spectrum.
The companies such as The major players covered in Custom Software Development Services are:, Swiftify, EdgeRock Technology Partners, Lincoln Loop, Accenture, iOLAP, Cooperative Computing, Chetu, Bluewolf, Shuup, Mutual Mobile, Axmor, Deqode, Learnetic, Epixel, Torry Harris Business Solutions and Radixweb form a part of the competitive terrain of the Custom Software Development Services market.
Information about these companies including generic profile of all these firms along with product portfolio is presented.
Data related to the product specifications and applications is availed in the report.
The report contains data related to the capacities of these companies along with the manufacturing expenditure, product costs as well as profit margins.

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Credits : Zdnet

What’s the ideal job situation for developers? Opportunities to work with the latest technologies within a supportive corporate culture rank on top for developers this year, a new survey finds. In addition, many developers have gotten behind DevOps, even though their organizations may be on the fence about the methodology.

These are the findings from Stack Overflow’s latest survey of 65,000 software developers from 186 countries around the world, fielded in February 2020. Enterprises are split on their dedication to DevOps. About 44 percent report they have at least one dedicated employee handling DevOps, versus 44 percent who did not. This ambivalence toward DevOps is not seen among developers, however — they are behind DevOps all the way. When asked about the importance of DevOps to scaling software development, close to 80% believed that DevOps is at least somewhat important, with almost half of the respondents, 48 percent, noting that it is “extremely important.” 

Along with DevOps, what else do developers want? The chance to experiment with new technologies tops the list, followed by a supportive company and workplace. 

The following reflects the typical developer’s wish list:

  • Languages, frameworks, and other technologies I’d be working with   51%
  • Office environment or company culture   45%
  • Flextime or a flexible schedule   44%
  • Opportunities for professional development  41%
  • Remote work options   33%

Overall, developers tend to be satisfied with their jobs, with almost 65 percent reporting that they are either slightly or very satisfied with their job. On the other end of the spectrum, around 25 percent are slightly to very dissatisfied.

Developers also show a commitment to continuous learning. Three in four, 75 percent, noted that they learn a new technology at least every few months or once a year — and 37 percent learn something new every few months. “This demonstrates how quickly innovations happen and developers are constantly learning to keep their skills fresh,” the StackFlow survey’s authors report. 

Ninety-two percent of respondents state they work at least part time; 71 percent report being employed full time. Nine percent report they are independent contractors, freelancers, or self-employed. 

Developers in the survey were asked what languages and frameworks they love, as well as the ones with which they “dread” working. Rust, TypeScript, and Python take the tops spots in this year’s survey. The most dreaded languages are VBA, Objective-C and Perl. 

What language skills are drawing the highest salaries? Respondents who use Perl, Scala, and Go tend to have the highest salaries, with a median salary around $75,000. “Interestingly, Perl is amongst the top most dreaded languages, so it’s possible that this high salary is to compensate for the dearth of developers who want to use that technology,” the survey’s authors surmise.  

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