Kubernetes (K8s) is an open-source project that aims to orchestrate containers and automate application deployment.

Currently maintained by the Cloud Native Computing Foundation, Kubernetes manages the clusters that contain the hosts that run Linux applications.

These clusters can include cloud hosts, so Kubernetes (K8s) is the ideal platform for hosting cloud-native applications that require rapid scalability, such as streaming data in real-time via Apache Kafka.

Deploying a new version of an application is always a risky process. There are several manual or semi-automated steps, and in case something goes wrong, rolling back to the previous version is super complicated.

Now imagine that with an application comprised of dozens of microservices, each with a different lifecycle, different release dates, and different technologies.

This would be the nightmare of any development team. Therefore, it eliminates many manual processes that a containerized application requires, making microservices projects easier and faster, for example.

How

“Produce better-quality products but at less operational cost and with efficiency” is a timeless goal for the manufacturing industry.  The role and future of AI and ML in the manufacturing industry are promising. AI and ML can enable the manufacturing industry to scale their businesses and help them grow.

The “Smart Manufacturing” revolution is already making it easier for businesses to attain this objective than ever before.

According to many experts, artificial intelligence and machine learning are expected to affect factories and the manufacturing sector in the future significantly. 

Artificial intelligence in the manufacturing market is valued at USD 2.3 billion in 2022 and is anticipated to be USD 16.3 billion by 2027, growing at a CAGR of 47.9% from 2022 to 2027.

Data has become a precious asset, and capturing and keeping it is becoming more accessible than ever, thanks to big data analytics.

Artificial intelligence and machine

Mobile App Development – Prologue

Mobile apps have stormed the internet with their influential usability. They can be utilized in every way and have surmounted an enormous market size of their own. Mobile apps can help you to achieve complex tasks with clever laid-out plans and make your everyday life much more convenient. However, mobile app development is not as easy as signing up for one. 

Mobile app developers go through numerous iterations and implement fresh ideas to rank their applications in the market effectively. If you are a newbie at developing an application that needs to appropriately meet the developing standards of the modern market this blog can proficiently guide you through. And if you are an experienced developer that needs to make a few brushing notes, this blog can give you a competitive edge for your next mobile app development project.

The blog explores five fundamental mistakes one

Artificial intelligence (AI) offers an abundance of use cases in today’s business landscape. The development of AI is facilitated by constantly increasing computing power and large quantities of data. Also known as machine intelligence, AI is a branch of computer science capable of autonomously learning and performing actions on behalf of humans.  

From product and service innovations to healthcare, there’s a function for AI across all industries. AI solves business tasks such as:

• Automating routine processes to cut costs and save time.
• Forecasting customer preferences.
• Providing the data to make smarter business decisions.
• Increasing operational efficiencies. 

Turning to the legal space – in particular, contract management, how can AI best serve this notoriously changing and tech-adverse profession?

Well, a 2021 survey of legal executives revealed that around 72% agree there are real opportunities for automation within legal organizations – with the majority citing that contract management was the area needing

What are the IT professional skills needed to play a major role in developing smart cities in the upcoming years? Read on! 

Smart cities are becoming increasingly prevalent worldwide as they provide citizens with a more efficient, technologically advanced way of life. Building them requires extensive planning, time, and labor, requiring various industry leaders, policymakers, government agencies, and tech experts to work together. 

A 2021 report called “The Impact of Technology in 2022 and Beyond: an IEEE Global Study” found that technology leaders cited manufacturing, financial services, health care, and energy as the main sectors that will be impacted by tech in the coming years. Many respondents also agreed that integrating smart building technologies is a top priority for their companies.

A smart city relies on advanced technologies, such as the Internet of Things (IoT), 5G, machine learning (ML), and smart cameras. These are the cities of the future,