As reliance on technology increases, engineering management must stay ahead of the curve by adapting to the available tools and techniques.

The emerging technologies that are revolutionizing engineering management

Read on to learn about the emerging technologies that are impacting engineering management and how they take it to the next level.

1. Automation

Automation refers to the use of automated processes and technology to reduce the amount of manual labor required for specific tasks. It is playing a huge role in streamlining production and improving operational efficiency, allowing companies to focus more on innovation and growth.

One way that automation is making an impact on engineering management is by increasing accuracy and precision in manufacturing. This allows more efficient production and reduces wasted materials. It also helps reduce the cost of labor, freeing up funds that can be used for other aspects of the business.

Automation technology can help engineers to identify potential problems and inefficiencies before they become costly issues. Automated systems can also help engineers create 3D models and prototypes more quickly, and reduce the time needed for production and assembly, allowing for shorter lead times and faster product delivery.

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2. The power of data

Engineers are increasingly turning to advanced data science techniques to improve the performance of their organizations and the quality of the products and services they provide.

Data science can help engineers design systems that operate more efficiently and maximize profits, making engineering projects more attractive to potential clients.

The application of advanced analytics to real-time data allows organizations to understand and manage processes more accurately, while predictive analytics enables them to anticipate risks and future needs.

Data scientists need to ensure that the algorithms and analytics used in decision-making processes are free of bias and capable of making unbiased recommendations.

Data security must also be top of mind when leveraging the power of data, as it could potentially compromise intellectual property and put an organization at risk of malicious attack.

As organizations look to embrace data-driven decision-making, they need to consider not only the rewards but also the risks, and be mindful of their approaches when using data in engineering projects.

3. Artificial intelligence in recruiting

As artificial intelligence (AI) continues to gain sophistication, engineering companies are beginning to turn to intelligent bots and machine learning algorithms to identify the best candidates for available positions.

By automating the screening process, organizations can streamline recruitment and free up resources for more in-depth interviewing processes.

For many businesses, the greatest advantage of using AI for recruitment lies in its ability to recognize patterns and draw upon massive amounts of data to identify and recommend qualified candidates.

AI is particularly beneficial when evaluating candidates from remote areas and unfamiliar backgrounds, as it can scan thousands of resumes and shortlist candidates quickly and easily.

AI can undoubtedly help streamline recruitment processes, making the whole process more efficient, less expensive and faster. However, engineers need to be careful to find the right balance between leveraging AI technology and human judgment to ensure that they get the most qualified candidates for their teams.

4. Blockchain technology

Blockchain technology has changed the way that we approach engineering management. It has created a powerful platform for engineering teams to securely store data and facilitate collaboration across teams, while reducing manual efforts.

The benefits of this technology extend far beyond secure storage of data. With the use of blockchain, engineering teams are able to automate certain tasks and streamline the management of their engineering operations.

By reducing manual tasks and centralizing processes, teams can be more productive and cost-efficient. With the added layer of security that blockchain offers, engineering teams can now rest assured that all their sensitive data is safely secured.

5. The Internet of Things

The Internet of Things (IoT) has had a profound impact on engineering management. Instead of spending countless hours and resources manually tracking equipment, IoT allows us to collect real-time data from all connected devices and machines.

This not only allows us to monitor activities more accurately, but also gives us insight into potential issues that could have an effect on operations and productivity.

We are also able to gain a better understanding of how products and services are performing, which helps us make the necessary improvements to ensure the highest level of quality.

With the advent of more connected technology, engineers have an unprecedented level of efficiency and control over their projects.

6. Cybersecurity

With the vast amount of information stored on computers and online, there is a heightened risk of theft or misuse of data. Good cybersecurity is a crucial component of engineering management that requires the implementation of safeguards to protect systems, networks and data from unauthorized access, damage or malicious attacks.

Engineering managers must take an active role in ensuring the protection of their system by implementing the most up-to-date and effective security protocols.

In addition to creating policies that require encryption of data, firewalls and frequent scans of computers, engineering managers should also encourage regular cybersecurity training among staff members.

They should establish partnerships with experienced cybersecurity companies to assist in ensuring that the organization’s information is kept safe.

It is also important to have processes in place to detect and investigate security incidents or vulnerabilities that arise. By utilizing processes to actively monitor for suspicious behavior, engineering managers can more quickly respond to potential breaches and better mitigate damage if and when a breach does occur.

With a concerted effort to incorporate cybersecurity into the fabric of their engineering operations, organizations can protect the most important and valuable aspects of their businesses.

7. The cloud

By enabling users to access, share and store data virtually anywhere and anytime, cloud computing offers numerous advantages to both the engineering and management industries.

For engineering professionals, the cloud allows them to access large-scale databases that enable the analysis of complex problems in an instant.

By using the cloud, engineering professionals can run sophisticated simulations and analytics to gain insights into designs and performance, enabling faster decisions and helping to speed up production time.

On the management side, the cloud is transforming the way that professionals interact and collaborate with each other. Managers can easily coordinate with teams to keep track of project updates, and ensure that everyone is on the same page with projects.

The emergence of cloud technology has had an undeniable impact on the way that both engineering and management professionals operate. Whether you’re a manager looking to boost the performance of a project, or an engineer in need of analyzing complex designs, the cloud provides the solutions that professionals need to succeed.

8. Augmented reality

At its core, augmented reality (AR) enhances the engineering workflow and simplifies tasks and data processing by using a combination of real and virtual components to create an environment with dynamic elements.

With AR, engineering teams are able to bridge the physical world and digital reality by viewing data points and designs in real time.

Additionally, AR is proving to be extremely effective in design visualization, providing engineers with a much better picture of what the end product will look like when completed.

Engineering teams are also able to get an in-depth view of certain tasks that were traditionally tedious and difficult.

With its capabilities, teams are able to easily monitor processes, access safety protocols, and prevent mistakes or defects. This capability provides teams with greater insight into how certain aspects of the process can be improved or corrected.

Its abilities to streamline processes and improve collaboration among teams make it a game changer for the engineering industry. With AR, engineers and engineering managers have access to data, design visualization and real-time information, all of which allow teams to make smarter and more informed decisions, resulting in better products.

9. Drones

By combining computer technology and aeronautics, drones are capable of taking on many different tasks and duties, saving time and energy for businesses. Firstly, the use of drones in engineering management is for surveillance and inspection.

By taking pictures or videos from above, drones can provide an efficient way of evaluating the status of the building, road or construction project from a bird’s eye view. In addition, they can monitor remote areas and can be used to detect environmental anomalies or events.

Drones are also being used in planning and construction. They assist in site and resource management by taking pictures or videos of large areas and analyzing them with advanced software.

Finally, drones are increasingly used to boost safety standards on projects. They are now being used to patrol the premises and construction sites and to assess potential hazards or damage. They can help spot emergency issues in a quicker, easier way, improving response times and ultimately leading to fewer injuries.

10. Three ways that emerging technologies are being used to improve the engineering process

New technologies are changing engineering education and the way that engineers work, allowing them to be more efficient, accurate and cost-effective. By leveraging these technologies, engineers are able to create more innovative solutions to complex problems.

a. The use of 3D printing in prototyping

3D printing makes it possible to create prototypes faster and with more accuracy than ever before. This allows engineers to develop and refine their products at a much faster rate.

Instead of relying on traditional manufacturing techniques such as injection molding, 3D printing allows engineers to quickly and easily create highly detailed and intricate parts. By creating prototypes faster, engineers can evaluate multiple design iterations quickly, enabling them to create better products in less time.

Additionally, 3D printing can significantly reduce costs associated with prototyping. These cost savings allow engineers to spend more resources on the actual product development, which leads to more innovative designs and better products overall.

b. The use of data analytics in decision-making

The technology and methods behind data analytics are becoming increasingly powerful and effective in optimizing engineering projects and informing key decisions. Data analytics takes large amounts of information and analyzes it to form patterns and trends that provide deep insights into processes.

This information can then be used to accurately assess the viability and efficiency of certain approaches and models, helping engineers identify the most cost-effective solutions for their projects. By eliminating traditional guesswork and subjective judgement, data analytics is introducing unprecedented levels of accuracy and reliability to decision-making.

Data analytics has also made it much easier to visualize complex concepts and ideas in engineering. With this improved visual ability, engineering teams can quickly understand how to achieve the best results with their resources.

Through sophisticated predictive models and visual tools, data analytics is providing a valuable new tool for engineers to optimize their work and develop better and cost-effective solutions.

c. The use of robotics in manufacturing

Not only have robots replaced manual labor, but they have also made it possible to manufacture products with higher precision and quality than ever before.

With the emergence of advanced technologies such as AI, the role of robotics in the engineering process is only becoming more important.

From car parts to medical devices, robots are quickly becoming the cornerstone of many production facilities. Their increased accuracy, agility and reliability make them a better choice for some tasks compared to human labor.

Final thoughts

As technology continues to evolve and innovate, so also does the way that engineering management operates. Emerging technologies have opened up a world of possibilities and revolutionized the way that engineers work, providing them with the tools and resources to be more efficient and productive.

These technologies are transforming how engineering projects are completed, making it easier than ever to build, maintain and deploy complex systems. They can be used to revolutionize the engineering process and provide a more efficient, cost-effective and safe solution.

In a world that is constantly changing and evolving, it’s important for engineering managers to stay up to date with the latest trends and technologies to remain competitive in their field.

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The problem with batch data processing is that it doesn’t allow for real-time processing for systems like an ATM, online booking systems, credit card applications, or e-commerce platforms. Many modern methods and applications require far faster processing times to deliver the user experience needed.

And with stream processing, you’ll get better NoSQL real-time analytics to make informed decisions and power impressive application features and processes.

1. What is a NoSQL Real-time Database?

A real-time NoSQL database allows you to process data in motion or as you receive or produce data within an application. It’s far simpler and faster than the old way of querying and computing data once you store it within a database.

With stream processing, you can continuously pull analytics and query the data. Plus, you’ll be able to react to the data immediately with actions or machine learning that will remember the event and train the system on what to do if that event occurs again.

For developers, a NoSQL real-time database provides the following opportunities.

• React to events instantly: all actions and analytics update automatically to provide the most meaningful and valuable experience.
• Ability to process more data at faster rates: You can process higher data volumes at faster speeds because you don’t have to wait for batch data processing.
• Decentralized and decoupled infrastructure: you no longer need massive shared databases since each stream processing application can maintain its data.

2. Use Cases for Real-time Data Processing

To better understand the need for stream processing, here’s a look at a few valuable use cases where real-time data can have a significant impact on your application and processes.

• Recognizing fraudulent credit card charges at the event and blocking them immediately requires real-time data processing and intelligence.
• They are triggering push notifications to users based on their behaviors and actions within an application.
• I am making application adjustments based on real-time analysis or sensor data.

3. NoSQL Open Source and Commercial Platforms

If you’re looking for a database that powers real-time processing, the best NoSQL options for your applications are here.

a. BangDB

BangDB is a real-time NoSQL database that features native AI and stream processing with a multi-model approach to provide a robust database for modern applications. Stream data in real-time while training models and completing predictions based on the new data.

b. DynamoDB

DynamoDB allows you to modify records as you ingest them while triggering events. As an Amazon product, DynamoDB is a powerful tool to help you be more agile and deliver a seamless user experience, just like the online retail giant.

c. MongoDB

MongoDB has powerful real-time analytics capabilities so that you can act on your data and information quickly. It’s a popular option for financial services, government, high-tech, and retail businesses. It helps companies to scale rapidly while building a structure for real-time insights and actions.

d. Cassandra

Cassandra came from Facebook and its need for real-time processing to power the social media giant. It is the ideal real-time NoSQL database for applications where you write more data than you read. It is a column-based database with high performance and strong data consistency.

e. HBase

HBase provides real-time access to data using multi-structured approaches to storing it. Process the data in real-time and call upon stored data quickly for responsive applications. This database is frequently used in medical, sports, e-commerce, and the oil industries.

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This is where DevOps professionals have created value for businesses. Utilizing the philosophy of DevOps, organizations can massively boost their productivity. This article will learn what DevOps is all about and how to get the necessary certification.

1. What is DevOps?

DevOps is a collective group of concepts that have been gathered and compiled through various best practices regarding the technical community and field. The basis of DevOps is the Agile Framework for managing businesses and organizations.

DevOps aims to bring together a spirit of collaboration and cooperation while developing the skills of the entire staff. This ideology needs to be followed through all the stages of the life cycle of the business.

Under DevOps, the Development and Operations are not separated and continue working as a united team, working across the entire life cycle. DevOps sometimes also integrates the Security and Quality Control pillars into the mix.

Together, the couples find new and ingenious ways to automate the age-old manual tasks to utilize the powers of technology and boost the productivity of the business.

2. Benefits of DevOps:

• Improving Speed: DevOp aims to improve the lag and downtime between the operations of the business. This is achieved by shaving away wasted time wherever possible.
• Smooth Delivery: Just developing the service isn’t enough. The delivery of the service in time to the customer is equally important to be properly deployed and implemented.
• Reliability: DevOps as a framework creates an environment of reliability. By creating a continuous feedback loop of integration and answerability, the system becomes more and more reliable.
• Scalable: Scalability is something that many different organizations end up struggling with. Beginning from a small company to a big business has many other challenges. DevOps philosophy is helpful for all, irrespective of their size, which automatically makes it a scalable and universal framework.
• Secure: By integrating the Security departments of businesses, you can ensure there is no leakage of securities. Similarly, the clients’ data privacy is equally essential because it can cause considerable losses to the systems in place.

3. How to get DevOps Certification:

DevOps training can be done through both online and offline means.

To get the certification, all you need to do is to get the required training. Once you get the training, you can then receive the necessary certificate. These certification courses are usually a few months long and will give you a detailed explanation of the entire subject.

Getting a DevOps Certification is a great deal for business professionals interested in IT that they can use to boost their credentials and bag that fantastic job!

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Unsurprisingly, research shows that a third of modern businesses’ IT expenditure is used to create cloud infrastructure. Further, with businesses struggling for competitiveness and a demand to reduce costs and improve efficiency, numerous cloud solutions are now available.

With such applications becoming a necessity in everyday tasks, most organizations move toward custom cloud apps development for efficiency and productivity.

While adopting such apps is inevitable in your enterprise, you need to understand the diverse apps and computing services before you settle on any. Here is a brief overview of how cloud applications and services started.

1. What Is a Cloud Application?

A cloud application is any computer application accessible through programming interfaces (APIs) and web browsers operated from the cloud. Usually, remote servers are used to store data and offer the functionality and interface of these apps.

Google Docs is an example of a common cloud application. Your team members can access any Google Docs files remotely provided they have an internet connection and a web browser compliant device.

2. History of Cloud

When we talk about cloud apps and related services, most people think it is a 21st-century concept. However, while the technology boomed starting the 2000s, cloud systems were already available in the sixties.

a) Computer Applications Premise

The concept of cloud apps, storage, and sharing can be traced back to mainframe computers. The processors used during this period were costly and required expensive maintenance. They were also huge. Businesses would adopt a time-sharing approach to the main computer using several connected stations.

This idea of computationally sharing power formed the starting point of the technological concept used nowadays. Presently, an unlimited number of people can share and access a cloud seamlessly.

b) Computer System Interconnections

The 1960s’ innovation saw an advancement in the cloud concept to include the development of communications networks. For instance, the Advanced Research Projects Agency Network (ARPANET), a brain-child idea of J.C.R Licklider, launched in 1969. To date, Licklider’s innovation remains a key part of the growth of the internet. The network ensured the sharing of digital sources across distant computers.

c) IBM’s Operating System

The evolution of cloud applications continued in the 1970s. This period saw the development of virtual machines. A perfect example of this was IBM’s VM OS operating system that was introduced in 1972.

This evolution gave way for organizations to use private networks. Subsequently, in the 1990s, technological advancement led to the introduction of cloud infrastructure.

Despite such advancement, cloud technology faced significant limitations. For instance, the internet speed was quite slow up until the nineties.

d) Cloud Apps and Services in the 2000s

With the cloud technology now in the public domain, various developments were seen. For example, Amazon launched its web-based retail services on a cloud infrastructure model in 2002.

After around four years, they launched Amazon Web Services, including the Amazon Mechanical Turk and the Elastic Compute Cloud (E2). These applications offered individuals a chance to host their applications and programs.

Before the end of 2006, Google Docs, a commonly used platform today, was launched by Google. Users could type, edit, save, as well as share files across team members remotely.

Besides, several universities collaborated with tech giants – the likes of IBM and Google – in 2007 to develop a research projects’ server farm. The same year, Netflix introduced its video streaming service, which allowed people to stream movies and videos.

e) Modern-day Cloud Applications and Services

Today, businesses and consumers alike have adopted cloud technology at an alarming rate. Unlimited companies are now using cloud modules to ease daily tasks and improve efficiency.

Cloud-native applications such as the Oracle Cloud, which offers XaaS services, have gone a long way in making cloud computing efficient today.

3. What’s the Benefit of Cloud Applications Advancement for Businesses?

Cloud software has developed at high speed, which is beneficial to any modern business.

So, can enterprises and regular customers get benefits?

Advancements in this technology have made it effortless for any individual to save and access information from any location.

The unavailability of cloud technology and storage, both mobile and desktop, would be running out of space fast.
Businesses would incur high costs to buy, install, and transfer programs to new devices.

There is no doubt that cloud technology has evolved significantly in recent years. Today, enterprises can rent cloud applications and develop their private cloud systems, which act as data centers.

Most experts project that cloud computing will be instrumental in developing hybrid IT solutions such as the Internet of Things. This will go a long way in making businesses more efficient and productive.

The post It’s Cloudy: A Short History of Cloud Apps and Services appeared first on Technology News & Trends.

1. Challenge Yourself

It’s easy to remain safely in your comfort zone on a day to day basis. Hackathons offer the opportunity to showcase your skills and challenge yourself in ways you may not have done before. This is a space where you’ll always be pushed to think outside the box in ways you may not have done before.

For instance, if you’ve never used JFrog DevOps tools to spearhead Kubernetes, now would be a great time to learn more about how you can automate tasks to finish your project quicker. Chances are, you’ll discover new talents and skills that you would never have explored otherwise.

2. Getting Over Programmer Imposter Syndrome

If you’re a developer that tends to beat yourself up over mistakes in your code or doubts your ability to produce clean code, you may have fallen victim to imposter syndrome. Imposter syndrome is a psychological pattern that describes how a person challenges their accomplishments and fears being exposed to fraud.

Perhaps you feel insecure when you hear other developers talking about programming languages that you don’t fully understand.

Unfortunately, this is something many programmers deal with in their careers. They feel as though they aren’t talented enough to compete or are too far back in their education to ever catch up with an evolving industry. But you’re not alone in this feeling, and it’s a natural pattern of behavior.

One way to get over this is to get over the feeling of being uncomfortable and achieve this at hackathons. Hackathons offer the chance to surprise yourself by your accomplishments and realize that many others are going through similar experiences and looking for ways to overcome them.

3. Immerse Yourself in Entrepreneurship

Many people join hackathons because they have an idea that they’d like to explore. These events can often act as a stepping stone to seeing those ideas and products come to life. Sometimes your thought might be well-thought enough to capture the attention of investors. If you’ve been curious about the startup world and what it takes to get involved, this is your chance to learn firsthand what it takes to run a startup team.

4. Recruitment Opportunities | Hackathon

Hackathons are often sponsored by big companies or organizations, many of whom are scouting for talent. And what better way to recruit innovative minds than by meeting people who attend hackathons? It’s one thing for a developer to call themselves “innovative” on a CV, but entirely another to prove it through their participation efforts and extracurriculars.

Larger hackathons have recruiters on-site who have their booths to learn more about open positions and internship opportunities. Through this networking, you’d be surprised by the number of business cards you go home with. Keep in mind that you aren’t just networking with employers, but with other like-minded people who can quickly become lifelong friends and essential connections later.

5. Joining a Hackathon

There are hundreds of hackathons to choose from, and some are niche or generalized. Start by conducting a local Google search to see if there are any local hackathons you can join. Like TechCrunch Disrupt, there are also very popular hackathons, which takes place in New York City, San Francisco, and Berlin.

Some hackathons revolve around startup teams that already exist and have an extensive application process, while others are open to anyone—including those with no coding experience.

6. Preparing for a Win | Hackathon

Now that you understand what steps you need to take to join a hackathon and why it’s time to start thinking about winning. For starters, preparation is critical. Before you even begin writing any code lines, you can start assigning different types of tasks to various members of your team and making decisions about who will handle which aspects of the hackathon.

Use a design management program like Trello or Asana to get you started, and decide in advance which technologies you want to use. Install your work environment early, brainstorm an idea, and start planning everything you’ll need for a smooth hacking environment, like pillows, blankets, food, and snacks.

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1. Allocate Resources

When you are running Kubernetes, you will have to make sure that you are allocating the right amount of resources to each container. Remember that different containers will have different requirements, depending on the functions that they will be performing. For this reason, some will require more storage or processing space than others.

Thankfully, setting these allocations is fairly simple, as Kubernetes provides estimates on how many resources each container will need. By setting this early, and adjusting as needed, it will make it easier to scale up your projects in the future. This is particularly essential when operating on a larger project, which might use hundreds or thousands of containers, each vying for a limited amount of processing space.

2. Remain Secure

Kubernetes is an open-source platform for managing containerized workloads and services—with a framework to run distributed systems resiliently. It takes care of your scaling requirements, failover, deployment patterns, scaling, load balancing, logging, and monitoring, much like PaaS offerings.

However, it operates at the container level rather than at the hardware level. In addition to all of this, one can build an in-depth knowledge of containerization and orchestration tools with the Certified Kubernetes Administrator (CKA) Certification. Mastering one of the most trending DevOps tools, Kubernetes, can help facilitate the process of development-to-deployment.

Once you have deployed a project, you must keep it secure. Often, malicious programs might be able to do a lot of damage to your work. In some cases, this can end up destroying all of your hard work. There are some suggestions that you can use to keep projects secure. First, you should avoid incorporating potentially unsafe materials.

For example, you should make sure that you are only using approved images in your projects. You might also want to incorporate a security pipeline into the process. This will ensure that everything gets scanned to make sure that it doesn’t contain malicious code before it gets used in your project. Finally, you can limit the number of people who have access to the project. In some cases, you might want to allow people to access the containers, without giving them access to the host.

3. De-Bug

h2s you create a new application, you will inevitably create bugs. This is a normal part of computer programming, especially when working on complex projects. However, when you deploy the project, these bugs can often cause problems for people trying to use the program. If not solved quickly, some people might abandon your service and use a competitor.

For this purpose, you want to make sure that you solve these issues as quickly as possible. To support you do this, you can handle Rookout. This will be able to allow devs to quickly spot the bugs and get to the root of the problem, and it will make it easy to tackle issues, allowing your programs to run smoothly.

Kubernetes is a great way for you to manage containers, making it easier for you to develop more advanced projects. When it comes time to deploy, it’s common to feel both excited and nervous. Thankfully, you will be able to use these tips to make sure that your next Kubernetes deployment goes smoothly.

4. Create a Kubernetes Backup

A container infrastructure requires some sort of backup so that it restores magically with minimal downtime. With Kubernetes, you don’t need to create the backup of the running state of the container, instead, the configuration manages the containers. There are several reliable Kubernetes backup tools such as Velero that conveniently compress and backup the Kubernetes objects, and efficiently restore post the disaster.

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