Microsoft Azure and Amazon AWS: Comparing the Best In The Business

Microsoft Azure and Amazon AWS: Comparing the Best In The Business

Most professional advice will point towards a cloud-based service if your company explores hosting options for its official platform. Similarly, when you dive deep into the intricacies of cloud computing, you’ll find yourself bumping into Microsoft Azure and Amazon AWS as the two most viable options.

Since choosing between these two most popular options can be a little perplexing, we decided to clear the air for you. So, here’s a detailed comparison of Microsoft Azure and Amazon AWS.

Let’s get started.

A Closer Look at Microsoft Azure 

Microsoft Azure is a leading cloud computing platform that renders services like Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). It is known for its cloud-based innovations in the IT and business landscape.

Microsoft Azure supports analytics, networking, virtual computing, storage, and more. In addition, its ability to replace on-premises servers makes it a feasible option for many upcoming businesses.

Microsoft Azure is an open service that supports all operating systems, frameworks, tools, and languages. The guarantee of 24/7 technical support and 99.9% availability SLA makes it one of the most reliable cloud computing platforms.

The data accessibility of data Microsoft Azure is excellent. Its geosynchronous data centers supporting greater reach and accessibility make it a truly global organization.

It is economical to avail of cloud-based services, as users pay only for what they use. Azure Data Lake Storage Gen2, Data Factory, Databricks, and Azure Synapse Analytics are the services offered through this cloud-based platform. Microsoft Azure is especially popular among data analysts as they can use it for advanced and real-time analytics. It also generates timely insights by utilizing Power BI visualizations.

Why Choose Microsoft Azure? 

Azure provides seamless capabilities to developers for cloud application development and deployment. In addition, the cloud platform offers immense scalability because of its open access to different languages, frameworks, etc.

Since Microsoft’s legacy systems and applications have shaped business journeys over the years, its compatibility with all legacy applications is a plus point. Since converting on-premises licenses to a fully cloud-based network is easy, the cloud integration process becomes effortless.

In many cases, cloud integration can be completed through a single click. With incentives like cheaper operating on Windows and Microsoft SQL Servers via the cloud, Microsoft Azure attracts a large segment of IT companies and professionals.

A Closer Look at Amazon AWS

Amazon AWS is the leading cloud computing platform with efficient computing power and excellent functionality. Developers use the Amazon AWS platform extensively to build applications due to its broad scope of scalability and adaptation to various features and functionalities.

It is currently the most comprehensively used cloud platform in the world. More than 200 cloud-based services are currently available on this platform.

Amazon Web Services include IaaS, PaaS, and SaaS, respectively. In addition, the platform is highly flexible to add or update any software or service that your application exclusively requires.

It is an Open Access platform where machine learning capabilities are also within reach of the developers – all thanks to SageMaker.

This platform has excellent penetration and presence across the globe, with 80 availability zones in 25 major geographical regions worldwide. But, just like Microsoft Azure, the Amazon AWS model is highly economical.

Businesses only need to pay for the services they use, including computing power and cloud storage, among other necessities.

Why Choose Amazon AWS? 

The Compute Cloud offering allows you to use dynamic storage based on the current demands of your operations. You can use any operating system and programming language of your choice to develop on Amazon AWS.

Besides, all cloud integration services on the Amazon AWS platform are broad-spectrum and practical. The comprehensive tech support available 24/7 is a silver lining too.

The Amazon AWS platform enjoys excellent popularity with several high-profile customers. The transfer stability in the Amazon AWS offerings is quite good, implying that you won’t lose any functionality during migrations.

The instances of latency problems and lack of DevOps support are minimal with this platform.

Comparing Azure and AWS 

  • By Computing Power

Azure and AWS have excellent computing power but different features and offerings. For example, AWS EC2 supports the configuration of virtual machines and utilizing pre-configured machine images. Further, images can be customized with the Amazon AWS platform.

Unlike the machine instance in Amazon AWS used to create virtual machines, Azure users get to use Virtual Hard Disks (VHD). Virtual Hard Disks can be pre-configured by the users or by Microsoft. Pre-configuration can be achieved with third-party automation testing services based on the user’s requirement.

  • By Cloud Storage

Storage in Amazon AWS is allocated based on the initiation of an ‘Instance.’ This is temporary storage because it gets destroyed once the instance is terminated. Therefore, Amazon AWS’s cloud storage caters to the dynamic storage needs of the developers.

Microsoft Azure also offers temporary storage through D drives, Page Blobs, Block Blobs, and Files. Microsoft Azure also has relational databases and supports information retrieval with import-export facilities.

  • By Network

The Virtual Private Cloud on Amazon AWS allows users to create isolated networks within the same Cloud platform. Users also get to create private IP address ranges, subnets, network gateways, and route tables. You can avail of test automation services to check the networking success.

The networking options on Microsoft Azure are like that of Amazon AWS. Microsoft Azure offers Virtual Network (VNET) where isolated networks and subnets can be created. Test automation services can help in assessing existing networks.

  • By Pricing

Amazon AWS’s pricing is based on the services you use. Its simple pay-as-you-use model allows you to pay only for the services you use – without getting into the hassle of term-based contracts or licensing.

Microsoft Azure, too, has a pay-as-you-go model, just that their calculations are by the minute. Also, Azure offers short-term packages where pre-paid and monthly charges are applicable.

The Bottom Line

We hope you’ve got enough to decide which cloud computing platform is most suitable for your needs. For more advice on Cloud Application Development, reach out to our team at [email protected]

Utthunga is a leading Cloud service provider catering solutions like cloud integration services, automation testing services, and digital transformation consulting. To know more about what we do, contact our representatives today.

Smart Test Automation for Desktop/Software Devices For Global Engineering Teams

Smart Test Automation for Desktop/Software Devices For Global Engineering Teams

As the Industrial Internet of Things is taking hold, we are seeing more and more desktop/software electronics being used to build smart devices, machines, and equipment for manufacturing OEMs. These devices are the “things” in IIoT and form a connected ecosystem and are at the core of the digital thread.

Desktop/software product development, therefore, holds an important place in the adoption of IIoT. Here selecting a reliable platform is crucial in deciding the overall time to market and overall cost of production and quality. Test automation services and simulations are being widely used in conjunction to produce reliable and stable desktop/software devices.

Simulation refers to the process where a sample device model is simulated to perform under practical conditions, uncover the unknown design interactions, and gain a better perspective of possible glitches. It helps the test automation to streamline the defect identification and fixing process.

An automated testing process includes simulation and testing together to improve the overall efficiency of the desktop/software device. In the current technological epoch, smart test automation is a “smarter” option to create reliable desktop/software devices from the ground up.

Smart Test Automation- a Revolution for Desktop/Software Applications

Industrial automation is at the core of Industrie 4.0. The inclusion of smart devices into the automated industrial network has made many manual work processes easier and more accurate. With the emergence of software-driven desktop/software systems, the industrial automation sector is witnessing a tectonic shift towards a better implementation of IIoT.

As the dependence on these devices increases, desktop/software device testing should not be an afterthought while implementing the big picture. That said, carrying out multiple tests in an IIoT environment where the number of desktop/software systems is increasing can be challenging. To improve the overall accuracy, bespoke smart test automation for desktop/software devices is required.

Smart test automation is the platform wherein the desktop/software devices are tested to understand their design interactions and discover possible glitches in the device operation. This is very important as it ensures that the product does what is expected out of it. This innovative approach has with time, proven to show spectacular results wherein the desktop/software applications work more effectively, thereby improving the overall efficiency of the IIoT systems.

How does Test Automation help to build sound Desktop/Software Devices?

Desktop/software application testing is often misunderstood as software testing. However, both are quite different. Desktop/software product testing involves validation and verification of both hardware and firmware testing. The end goal is to create a desktop/software device that meets the user requirements. Automated desktop/software device testing works well for this purpose, as it involves a lot of iterations, and tests the firmware and hardware requirements. Below are some of the advantages of automated testing, which makes it a class apart from manual testing:

Improved productivity

One cannot deny that manual testing means a highly stressed QA team and higher risks of human errors. Having an automated testing system in place takes the stress off from the QA team to a great extent, as it allows a seamless feedback cycle and better communication between various departments. Also, it facilitates easy maintenance of the automated tests logs. These reasons culminate in a reduced product-to-market time with a highly productive team. A happy workforce and a smooth testing system form the backbone of a quality end product.

Reduced Business Costs

Multiple errors, multiple tests, reruns, all these may seem trivial, but with times they cumulate to increase the business costs. Automated test algorithms help to reduce the business costs, as they are designed to detect failures or glitches in the design in the earlier stages of the desktop/software product development. This means you will require lesser product test reruns as compared to manual testing.

Improved Accuracy

This is one of the major advantages you can leverage from a smart test automation setup. It eliminates human error, especially in a complex network. Even though the chances of computer-driven errors persist, the rate of errors is reduced to a great extent. It leads to accuracy that is sure to meet the customer demands and keep them happy.

Assurance of Stability

Automates testing helps you to validate the stability of your product at the earliest phase of product development before its release. The manual stability tests often take a lot of time and can be hampered by human errors. Automated testing helps you curate a format to get automated updates of the status of the product through the relevant database.

Smart Test Automation- Challenges and Tips

With a complex smart testing process, automation comes with greater challenges. However, most of them can be resolved if you have the expertise and knowledge to implement the right strategies to get the best out of the smart test automation setup.

Some of the challenges are:

Lack of skilled professionals to handle technology-driven testing algorithms.

Not everyone has the skills to perform automated tests to the fullest. You either hire a skilled professional or train your employees to adapt to the automated testing culture.

Lack of proper planning between the teams

One crucial aspect that decides the success of automated testing is good teamwork. Your teams need to work collaboratively to ensure stability in the tests. You can try out the modular approach to achieve this, where tests are built locally over a real device or browser. The teams can then run them regularly and map out the results and coordinate in a better way.

Dynamic nature of automated tests

This is quite common, as companies are yet to inculcate agility in their processes. It is required for the successful implementation of these tests. One way to overcome this is to start with baby steps and then scale your testing process later as the situation demands.

Conclusion

Undoubtedly, smart test automation is the future of desktop/software devices. For efficient implementation of automated test systems, we at Utthunga provide you with the right resources and the right guidance. Our experienced panel is well versed with the leading technologies and has the perfect knack to pick out the right strategies that would aid your growth.

Leverage our services to stride ahead in the Industrie 4.0 era!

 

How IO-Link Protocol enhances Factory Automation and Benefits End Industries?

How IO-Link Protocol enhances Factory Automation and Benefits End Industries?

The current wave of the industrial revolution, also known as the Industrie 4.0, has proven to improve the production process in various aspects. To realize the promised benefits, a strong communication protocol that allows semantic interoperability among interconnected devices is needed. In manufacturing industries where processes are greatly dependent on the industrial sensors and actuators, there are a few challenges that hinder seamless plant floor communication.

Take for example, the use of 4-20mA analog signals for communication between proximity switches and sensors. Although this produced satisfactory results, it did not provide any scope for diagnostics. So, the issues in the process go unnoticed until the whole system comes to a standstill. The combination of digital and analog devices also requires multiple cable and hence a tedious installation and maintenance process.

To overcome such challenges, the IO-Link Consortium Community, an organization in which key user companies from various industries and leading automation suppliers join forces to support, promote and advance the IO-Link technology. With over 120 members and strong support in Europe, Asia and the Americas, IO-Link has become the leading sensor and actuator interface in the world. The common goal of these companies is to develop and promote a unified and bi-directional communication architecture that involved an easy implementation process and the ability to diagnose the errors at the right time. The IO-Link protocol thus came as a knight in shining armor for the industries to help them gain the best of the Industrie 4.0.

IO-Link is a robust; point-to-point communication protocol specifically designed for devices like actuators and sensors. The IO-Link client is independent of the control network and communicates with an IO-Link master port. This port is placed on a gateway and transfers the data and or signals to the control system for further operations.

IO-Link proves to be beneficial for the factory automation processes especially in the digital era ofIndustrial Automation. With embedded software systems now becoming an inevitable part of industries, more IO-Links help them to leverage the power of Industrial automation and IIoT.

To get a gist of the benefits you can expect through the proper implementation of IO-Links, read the entire blog.

IO-Link Wired setup enhances factory automation communication for Industry 4.0 applications

Incorporating automation processes into an existing manual based manufacturing end processes are a primary challenge that IR4.0 possesses. To overcome this, many factory communication protocols have been introduced by various institutions.

For the device level, the communication IO-Link protocol is the most viable options to choose from. The reason being many, that we shall discuss in the next section. On the factory floor, IO-Link has long been seen as a wired communication network.

A basic IO-Link communication cycle involves:

  • A request from the master device
  • Waiting Time- for the request to reach the client device
  • Processing time of the request from the client device
  • Answer from the device to the master.
  • Waiting Time- for the answer to reaching the master.

In general, factory automation units have wired IO-Links that offer high flexibility and enhances the communication systems between the controllers and the system actuators and sensors. However, with the advent of reliable wireless networks, industries are now adopting wireless IO-Link set up these days.

The popularity of the IO-Link for the communication between sensors, actuators, and the control level is steadily increasing with each passing year. In a wireless setup, an approximate 5ms maximum cycle is achievable with high probability. In addition to this, it also provides the required flexibility in automation solutions and opens door to the possibility of using battery-powered or energy-harvesting sensors as well.

How IO-Link Benefits OEMs and End Users

As already mentioned, IO-Link be it wired or wireless creates ripples of benefits for OEMs and ends users.As already mentioned, IO-Link be it wired or wireless creates ripples of benefits for OEMs and ends users. One of the advantages of IO-Link is that by incorporating the smart sensors with IO-Link, you can optimize your smart factory with powerful data and diagnostics and prepare them for the future – to increase your uptime and productivity. Along with faster time to market and lower total cost of ownership, OEMs and end usersalso benefit from improved asset utilization and risk management.

Typically a smart sensor functions as a regular sensor unless it’s connected to an IO-Link master. When connected, you can leverage all the advanced configuration data capabilities that IO-Link has to offer.

Let us have a look into some of the key advantages of implementing IO-Link for OEMs and end users.

Enables better maintenance

One of the main reason behind the popularity of the IO-Link is its diagnostic capabilities. It means the servers are informed well in advance about any forthcoming issues. This makes them ready for need-oriented maintenance and a better factory automation system.

Efficient operation

As IO-Link sensors are independent of the control network and their accessibility no longer plays a role in automation, you can place them directly at the point of operation. This means the machining process can be optimized to operate at maximum efficiency in the minimum time frame.

Consistent Network

The IO-Link being a standard communication protocol between IO sensors/actuators and the control network brings consistency in your automation network. So you get to integrate more devices into your IO-Link protocol network and introduce flexibility to your network.

Makes your system versatile and future proof

IO-Link sensors and actuators do more than just process and transmitting data to and from the control network. IO-Link protocol integration facilitates reliable and efficient communication between devices. Having IO-Link devices means your system has access to integrated diagnostics and parameterization which also reduces the commissioning time to a great extent. Overall it imbibes versatility to your system and makes it ready for the future of IIoT.

Enables processing of three types of data

With the IO-Link, you can access and process three types of data namely process data, service data, and event data.

  • Process data includes data such as temperature, the pressure that is transmitted by the sensors or actuators upon request from the IO-Link master request.
  • Service data refers to the one related to the product and not process and includes manufacturer name, product model number, and the like.
  • Event data usually comes from sensors when any event notification has to be raised like an increase in pressure.

Provides IODD for each IO device

IO-Link protocol integration assigns each IO device with an IODD or IO Device Description such that the master manufacturers display the same IODD for each of their devices. This way, the operability of all the IO-Links is uniform irrespective of the manufacturer.

Reduces or eliminates wired networks

Since IO-Link protocol integration allows uniformity among the sensors, actuators, and control system, there is no need for separate wires. This way the number of wires can be reduced to a great extent. As wireless networks reign the IIoT arena, the concept of wireless IO-Link protocol integration is also gaining popularity.

Increases machine availability

With IO-Link protocol porting, you can enjoy an errorless and fast data exchange between sensors, actuators, and the control system. This increases the operation speed and reduces the downtime and improves the commissioning processes. Overall the machine errors are reduced thereby giving you more out of the machines.

Conclusion

The 21st century has paved the way to better industrial processes through the advent of industrial automation or the IR4.0. IO-Link protocol porting and IO-Link protocol integration has greatly helped OEMs and end-users alike, in making their production process in compliance with the IIoT set up. If you are looking for a reliable and flexible IO protocol integration for your plant, we at Utthunga have the state of the art technologies.

 

8 Advantages of IO-Link

8 Advantages of IO-Link

IO-Link – an integral part in the Industrial Automation

As more devices are interconnected at the factory level, the automation process greatly depends on seamless communications between devices from the shop floor such as sensors and actuators to the control systems like PLCs, and others. To ensure this, IO-Link is one of the first standardized input-output data communication protocol that connect devices bi-directionally. It means the devices are paired in a point-to-point communication that they can transmit information to and fro.

IO-Link enables point-to-point communication over short distances. Such an effective, seamless communication protocol is undoubtedly one of the crucial elements of the factory automation process that comes in as a part of Industry 4.0. Implementing the effective IO-Link strategies plays an important role in the overall network efficiency. Not only this, it facilitates ease of configuration as it reduces the number of wires and connections for OEMs and the end-users alike. IO-Link handles data types like process data, parameter data, and event data. All of these make it somewhat similar to a universal connector, which reduces downtime and improves visibility into the plant floor.

Why is an IO-Link required?
One of the most critical challenges in implementing an automated factory setup is setting up effective communication between devices at the ground level. For the manufacturing industry, IO-Link is required for more reasons than one.

First, it fills in the communication gap present even at the lowest automation hierarchy level. It also acts as a liaison in identifying error codes and help the service professionals troubleshoot the issue without shutting down the production or manufacturing process. It also makes remote access possible wherein the users are connected to a master/network to verify and configure the required sensor-level information.

Holistically put, we can say industries require IO-Link if they are looking for a cost-effective way to improve their efficiency and machine availability, which are crucial elements in implementing a successful automated factory. To understand this further, we have jotted down the top eight advantages of the IO-Link in this article’s next section.

Top 8 Advantages of IO-Link

Easy Connection of Field Level Devices

Embedding IO-Link in your field-level devices like sensors and actuators facilitates better data transfer between them and the controllers via an IO-Link master. It in turn, enables you to connect the sensors and controllers like PLC, HMI, SCADA, etc. without worrying about loss of data.

Enhanced Diagnostic Capability

One of the crucial issues that cause hindrance in implementing a seamless automation experience is that errors in data processing or handling go unnoticed or are discovered quite late. It may lead your manufacturing or production unit to go to a standstill. With the IO-Link, since the communication is bidirectional and more visible, errors can be detected and examined for severity at the right time. It helps in troubleshooting the issues without stalling the production processes.

Better Data Storage and Data Availability

IO-Link offers improved data storage options. IO-Link offers parameterization of data that can be stored within the IO-Link master. This makes the automatic configuration of the IO-Link possible. Also, the types of data available vary from process data, service data, and event data. Process data is the information that a machine sends or measures; the service data refers to the report that spells the technical and manufacturing details of the device. The event data is the information such as notifications or upgrades that are critical and time-specific.

Remote Access to Device Configuration and Monitoring

IO-Link enables users to connect via IO-Link master or a network for remote access to sensors, actuators, controllers from virtually any location. It allows users to examine and modify the device parameters when required from anywhere. It improves overall productivity and plant efficiency.

Auto Device Replacement

Not only does the IO-Link allow remote access to device settings, but the data storage capacity also facilitates automated parameter reassignment. It makes device replacement a lot easier and hassle-free. Users can easily import all the required data to the replaced device and continue their factory automation process.

Simplified Wiring

Since the IO-Link is free of any complicated wiring, it reduces the hassles related to the same. As it supports many communication protocols, the IO-Link devices can be configured with existing wiring, reducing the overall implementation costs to a minimum. It also does not require any analog sensors and actuators, which in turn negates the need for additional connection wires.

Device Validation

IO-Link offers users to carry out device validation before leveraging them for the production process. It also empowers users to make an informed decision like pairing the IO devices with the correct IO master link.

Saves Time and Money During Device Setup

As the IO-Link does not require an additional setup for configuration and is compatible with many communication devices, the device setup becomes easy and does not require much time. With automation, you can reduce the time required for device setup, all within your budget constraint.

Conclusion

To stride ahead in the digital world, you need to be clear about your goals and objectives regarding adopting new technologies. Utthunga’s IO-Link Master Stack and configurator are appreciated throughout the industrial space for the quality we serve. Our team of experts guide you through the implementation and maintenance process for your manufacturing or production, so you leverage the ultimate benefits of deploying an IO-Link system into your network.

If reduced operational costs and improved plant efficiency are what you need, then contact us, and we will make sure our IO-Link products do the magic for you.

Containerization in Embedded Systems: Industry 4.0 Requirement

Containerization in Embedded Systems: Industry 4.0 Requirement

Embedded systems are a ubiquitous and crucial part of the industrial automation. Whether it’s a small controller, an HVAC, or a complicated system, embedded systems are everywhere in the manufacturing space. You need embedded systems to help in improving the performance, operational and power efficiency and to even control processes in the complex industrial realms. Building and maintaining an embedded system, the software that goes into these systems, is anything but a trivial task. It requires specialized tools like build tools, cross compiler, unit test tools, and documentation generators among others. The process of setting up such an embedded environment in your system could therefore be quite overwhelming. Docker helps in making the whole process a lot easier and manageable. Docker is similar to virtual machines but is a light-weight version of the same. This creates containers that share common components with the Docker installation.

How can Docker run on an embedded system?

Dockers are one of the preferred containers used by software developers these days. Embedded system developers are also now leveraging the benefits containers bring into their software through Dockers. Installing Docker is relatively easy and it supports different OS platforms. Once installed, you need to define a run time environment with a Docker file and create a Docker image. Once this is done, all you are left is to execute the image with the run command and share the files between the host and container. To share, you need to create a bind mount which is created every time you run an image with the “mount” option. Since embedded systems have a fairly slow rate of system update changes, you can use the lightweight Docker on a minimum build then start layering on top of it. However, running Docker on an embedded system comes with its own set of challenges. For example, Docker uses the latest LINUX kernel, which may not match the embedded system’s kernel features. Another important hurdle that developers often face is that Docker image architecture should match the run time environment.

Containers and Industrial Automation

Containerization of software applications is fast gaining popularity and is speculated to disrupt the “industrial automation” as we know today, for good. For developers, the array of container images means the collaborative creation of software deliverables is possible without overlooking the requirements for running an application within a machine environment. With the introduction of containers, industrial automation may also witness an end to the vertically integrated business model, which hasn’t changed much since the times of PLCs and DCSs. This is because the acceptance of containerization has paved the way for an efficient embedded system and easier implementation of the same into the current Industry 4.0 scenarios. It also makes automation accessible and easy to deploy in various machines.

Containers and Maintenance (Sustenance Engineering) of Embedded Systems

The industrial OT world traditionally consists of proprietary embedded systems that focus on reliability, longevity and safety.With technology advancements, maintenance of these older systemshas become a burden. The wide popularity of containerization has made containerization an important maintenance strategy for the embedded systems. Product sustenance or re-engineering is basically fine tuning your released products to add new services and enhance their existing features. It virtually extends your end of the lifecycle or older products with periodic fixes, updates and enhancements that assures reduced maintenance costs, help maximize profits as well as retain your customers. Some of the ways in which containerization adds value to your sustenance engineering are:
  • Ready to implement container images reduce the development time needed for application updates, defect fixes or new features enhancements
  • Resource utilization and sharing is optimized with better maintenance plans
  • Container frameworks and prebuilt tool chains enable the development and maintenance of applications on multiple embedded hardware platforms like STM32, Kinetis, ARM series etc.
  • Software containerization and isolation of other processes and applications protects your application from hacks and attacks. This security aspect limits the effect of a vulnerability to that particular container and thus not compromise the entire system.

Key Benefits of Docker Containers on Embedded Systems

There are multiple motivations to leverage Docker containers benefits in an embedded environment. Easy to use, they provide a lightweight and minimal way to solve legacy architecture problems etc.
  1. Docker supports Windows, iOS, and Linux
  2. Developers can use the tools available in their local development environment. It means they need not install tools to run a Docker on the embedded system
  3. Developers can check the code against toolchains without worrying about tools co-existing.
  4. Your development team can use the same tools and build environment without having to install them
  5. Containers enable edge computing and convergence of services at the edge or gateway level
  6. The pre-integrated container platform allows developers to create applications that scale up to their business requirements and deliver qualitytime-to-market solutions in an accelerated manner
  7. Containers allows isolation of storage, network, and memory resources among others enabling developers to have an isolated and logical view of the OS
  8. Portability of containers allows it to run anywhere allowing greater flexibility in the development and deployment of applications on any OS or development environment.

Conclusion

Even with its set of challenges, Docker seems to be the game-changer in the Industry4.0 era. With embedded systems playing a pivotal role in many industries, your developers can use Docker to deploy automated machines. If you want smart solutions for a decentralized plant floor, you need to get professional development assistance from Utthunga. We help you create embedded systems that truly bring out the best degree of productivity for your company. Leverage Utthunga’s embedded system consultations services and products which have transformed industries across various verticals includingdiscrete, process, oil and gas, and power industries. Contact us to know more.  
Accelerate Software Product Engineering Services Through DevOps

Accelerate Software Product Engineering Services Through DevOps

DevOps is a philosophy that drives companies towards faster project completion and is now entering its second decade. Over the years this has steadily gained momentum, owing to the massive acceptance by big and small organizations globally. A research report by Grand View predicts that the DevOps market will reach US$12.85 billion by 2025.

Various research and studies underline the importance of implementing this philosophy and making it a part of the product life cycle by product engineering services companies, irrespective of their size. Product engineering companies around the globe have seen an increase in their productivity and overall growth with successful implementation of DevOps tools and practices.

DevOps Practices to Speed Up your Delivery Process

Gone are the days when companies were product-driven. Now customer decisions and interest rules the market. Product development companies that provide excellent customer experience are sure to create a sustainable business. Faster delivery is one of the most common customer demands and needs to be combined with the quality and precision of the software product.

Implementing the right DevOps practices can help you enhance your customer experience and earn your stakeholders confidence over time.

Here are 6 ways you can implement DevOps to improve the product life cycle and reduce the time to market with an efficient product delivery management strategy in place.

1. Automate tests:

Leverage the power of technological advancement and use automation to test the codes, instead of doing all the complex coding/testing manually. Combining the best of the human capabilities and computer accuracy results in faster and precise test results.

As you input the codebase, the automated system checks them thoroughly and auto-generates test results with all the bugs specified. This way you can include the operations team along with the development team to analyse the test and come up with an effective solution faster.

2. Continuous Integration:

This is one of those DevOps practices that directly improves the speed of production. Here developers of a team integrate their code several times a day and an automated system keeps checking these codes. Even the minutest deviation from the expected quality is easily detected in this process.

As every change is constantly monitored it becomes easy to pinpoint the deviation that caused the defect in the product. Overall continuous integration practices maintain the quality of the product whilst reducing the time to deliver the same.

3. Continuous Delivery:

Continuous delivery is one of the widely used DevOps practices to improve the overall efficiency of product engineering services. Here the developers deliver or release the application changes in codes at any time. It is an all-encompassing practice that includes ideation, checking for delivery, and production and usually includes continuous integration practices.

With CD in place, you need not worry about breakpoints if you want to shift codes to any other platform. It checks for bugs, highlights the location, and helps you deal with them at the right time to ensure flexibility to the whole software product development process.

4. Data-driven Approach:

DevOps is all about improving performance. Keeping track of factual information throughout the product development process helps you understand the glitches in the development process better and faster. The sooner you realize the loopholes in your product development cycles the faster you will fix it and the lesser time it will take you to deliver the final product.

Application graphs, patterns, Venn diagrams, well-maintained project statics, etc are some of the ways teams can collaborate to understand the status of the project and bring out ideas for the betterment of the process if required. It helps development and operation teams to come up with a cohesive, and refined approach towards delivering impeccable products on time.

5. Centralized Processes

Keeping logs is important for tracking the progress of a project. However, having a staggered and haphazard log system creates confusion and wastes a lot of time. Therefore a centralized process with a visual dashboard and a log management system wherein all the metrics, logs, graphs, configuration updates, etc. are integrated into one platform is vital. All your team members have easy access to error logs, regular logs,and configuration updates etc. which saves a lot of time and development effort.

6. Continuous Deployment:

Continuous deployment is a DevOps practice that aims at keeping your codes deployable at all times. After automated testing of your code, it is automatically deployed into the production environment for further processing. This way the overall speed of the deployment process is improved.

How DevOps & Agility help in Digital Transformation for organizations

As the industrial world increasingly adopts automation, and moves towards digital transformation, the application of the DevOps methodology can help organizations enjoy the true benefits of digitization and digitalization. This combined with the iterative approach of agile methodology, product development companies can create an outstanding customer experience and make the best of the digital era.

Agile and DevOps help in improving the digital customer experience to a great extent by considering the key elements of digital transformation like transparency, a paradigm shift in work culture, and overall accountability of the organization.

Conclusion

In the pursuit of achieving digital success and creating an exceptional customer experience, product engineering companies need to ramp up their delivery process without hampering the quality of the products. With the collaboration of development and operation teams through DevOps, companies big or small can achieve their business goal and create an efficient pipeline to deliver the best product well within the stipulated time.

DevOps consulting services from Utthunga serve as an efficient tool when it comes to helping product engineering companies in creating a faster product delivery pipeline. Contact our team to know how our team of DevOps experts can take your business to greater heights.