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Industrial Revolution(5.0 Key Elements)

Factory-of-the-future
Factory-of-the-future

Industrial Revolution(5.0 Key Elements)

What is Industry 5.0:

People working alongside robots and smart machines are referred to as Industry 5.0. It is about robots assisting humans in performing better and faster tasks by utilising advanced technologies such as the Internet of Things (IoT) and big data. It gives the Industry 4.0 pillars of automation and efficiency a personal human touch.

  • Human-Centric design for industry & Society.
  • Focus on environmental and social sustainability. 
  • Mission Driven companies over profit-driven.
  • Widespread use of the metaverse.

Key Elements of Industry 5.0:

100% of Companies are Mission-Driven and Values-Based

Robotics and Automation Complement human and do not overtake them

Environmental, Political and Social Sustainability at the forefront of Design

Humans are working more creative jobs and less monotonous and dangerous jobs 

Humans are working fewer hours and may not need to work at all

Virtual Reality technology will create a new economy in the metaverse

Powered by the widespread implementation of industry 4.0 Manufacturing

Whether you ready or not, Industry 5.0 has arrived. While many manufacturers are still working on ways to connect new technologies to improve efficiency and productivity — the guiding principle behind Industry 4.0 — the next phase of industrialization has already begun.

Robots have traditionally performed dangerous, monotonous, or physically demanding work in manufacturing environments, such as welding and painting in car factories and loading and unloading heavy materials in warehouses. As machines become smarter and more connected in the workplace, Industry 5.0 aims to combine cognitive computing capabilities with human intelligence and resourcefulness in collaborative operations.

The combination of human and machine workers opens up a wide range of opportunities in manufacturing. And, because Industry 5.0 use cases are still in their early stages, manufacturers should be actively strategizing ways to integrate human and machine workers in order to maximise the unique benefits that can be reaped as the movement evolves.

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Challenges in DevOps Implementation and Its Solutions

connect-with-customers
connect-with-customers

Gitlab CI Pipeline for Laravel app

Continuous Integration is a development practice that requires developers to integrate code into a shared repository several times per day (repos in subversion, CVS, git). Each check-in is then verified by an automated build, allowing everyone to detect and be notified of problems with the package immediately.

 

Build Pipeline is a process by which the software build is broken down in sections: 

  1. Unit test 
  2. Acceptance test 
  3. Packaging 
  4. Reporting 
  5. Deployment 
  6. Notification

 

The concepts of Continuous Integration, Build Pipeline and the new “DevOps” movement are revolutionizing how we build, deploy and use software. Gitlab is providing the automated pipeline which we need to use the gitlab.yml file.

 

I am unable to find the docker image which is appropriate for the php version and composer version we are using in our app. So I go with a manual gitlab runner.

 

Gitlab runner configuration: I installed the gitlab runner and initialized it in the aws ubuntu ec2 instance with the following steps:

 

# Download the binary for your system

sudo curl -L –output /usr/local/bin/gitlab-runner https://gitlab-runner-downloads.s3.amazonaws.com/latest/binaries/gitlab-runner-linux-amd64

 

# Give it permissions to execute

sudo chmod +x /usr/local/bin/gitlab-runner

 

# Create a GitLab CI user

sudo useradd –comment ‘GitLab Runner’ –create-home gitlab-runner –shell /bin/bash

 

# Install and run as service

sudo gitlab-runner install –user=gitlab-runner –working-directory=/home/gitlab-runner

sudo gitlab-runner start

 

For registering the runner in use the following command: 

 

sudo gitlab-runner register –url https://gitlab.com/ –registration-token $REGISTRATION_TOKEN

After installation, I tried to use the entire ec2 instance as a runner which will be more easy to deploy the application by using ssh as executor. I added pem file as the ssh key in the gitlab cicd variables and also stored the key in ec2 instance  location /home/ubuntu/.ssh. This runner uses aws environment as its own environment and doesn’t need anything to install. 

 But this runner failed because due to some configuration in the AWS EC2 instance while I logged into the instance with root through the pipeline, it logged out automatically. So I rewrote the config file of gitlab runner (replaced executor as shell). This change allows Pipeline to login to the instance, but doesn’t allow the git to pull the files. 

  

SSH Key generation and adding to Gitlab: To allow the git to pull the files from gitlab add the ssh key into the gitlab account. Generate ssh key by using 

ssh-keygen -o -f ~/.ssh/id_rsa

 

This generates an rsa ssh key.

Then move to the  /root/.ssh folder and create config file with below code:

 

Host gitlab.aagnia.com

   HostName gitlab.com

   AddKeysToAgent yes

   #UseKeychain yes

   User git

   PreferredAuthentications publickey

   IdentityFile ~/.ssh/id_rsa1

 

This allows git operations inside the server (Install the git and use git init before running the pipeline) through the pipeline. Now run the pipeline from the gitlab account.

To set up a gitlab cicd pipeline for an laravel application to host in the aws server, we used the following code as .gitlab-ci.yml:  

 

stages:

    – build

building:

  stage: build

  script:

    – cd <path/to/directory>

    – sudo git checkout dev

    – sudo git pull 

    – sudo cp .env.example .env

    – sudo composer install

    – sudo php artisan config:cache

    – sudo php artisan config:clear

    – sudo php artisan cache:clear

    – sudo chown -R root:root <path/to/directory>

    – sudo chmod -R 777 <path/to/directory>

  only:

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Importance of Data analytics for Business

Data analytics

The Importance of Data Analytics for Business

Data analytics

As a business owner, Analytics helps you to analyse your business and your customers.

Data Analytics gives you endless amounts of data available with just a click! Computers and the internet have made it easy for us to collect and analyze all kinds of data. As a business owner, you could use this data analytics information to help you to do business analysis and improve.

You could collect different types of aspects of your business,including market research, product research and sentiment analysis much more., 

Demographics:

When you gather information about your customers or clients, you start to analyse who your customers are, where they live, their age, gender, behaviour, and spending habits. Then you will segregate which group of data gives you more profit and improve your business.

Improving Efficiency:

All the data collected from the businesses, not only collect individual data or external to the organisation. The data collected by the businesses are analysed internally. Here a lot of advanced technologies help you to collect the data. This data helps to know the performance of customers and also business.

Improve customer service:

You can research sentiment analysis to understand what customers think about our business online sentiment analysis is taking texts and analyse If it is positive, negative or neutral text. You could analyse based on customer comments and you can see why?

Then you can see where you could improve your business, this will enhance your customer service because you will analyse the things.

Customer Behaviour:

You can use data analytics to predict your customers behaviours, analytics show you how many visitors came, pageviews, session Durations etc.Analytics gives you  how many customers clicked on your website more than once. Which could predict that they will be back in a month, you could look at those customers to create loyalty with exclusive deals for them.then the customers who only visited your site once, you can come up with another strategy on how to get back to repeat customers. It is possible you may need to change some things on your website.

Decision making:

If you have the data to check, it will make your business decisions more comfortable because it is backed by facts. You can use the collected data to see what works and what needs to be improved or completely removed.

If one product sells very well, it is advisable to invest more time and energy in developing similar items. On the other hand, if it is difficult to sell, you can either stop selling or reduce the price.

If the data shows that your customers want better service or need something more, you can invest in training to meet the expectations of your employees. But if people are happy with their experience, you can use it to save your money and improve other areas of your business.

Knowing how a company behaves based on facts, not just emotions, makes decision making much easier.

Overall, companies need to look at data analysis to get accurate reports on various aspects of their company. This information can bring light to things you may not even know would hurt your business.

You can use this data to understand customer demographics, improve customer service, predict future customer behavior, and assist in business decisions.

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Cloud-Based Operating Models

Cloud-Based Operating Models

 

In addition to supporting more efficient technology operations, cloud computing has helped improve collaboration between employees across teams, departments, and regions.

Collaboration:

Remote work isn’t a new phenomenon, but it’s become much more common these days, and the rise of cloud collaboration platforms makes this approach more viable. Secure networks, conferencing, and communication platforms have become an integral part of modern organizations. Adroit Market Research predicts that the enterprise collaboration market could reach $ 45 billion by 2025 as more employees choose real-time communication. Collaboration platforms are also becoming more sophisticated, from real-time updated spreadsheets and other types of work management software to advanced data warehouse modeling tools that keep teams up to date across regions.

Virtual cloud desktops:

Virtual cloud desktops, also known as desktop-as-a-services, deliver the entire desktop operating system and software applications directly to laptops, desktops, or other devices as cloud-based services. Enterprises pay only for the time staff spend logging into their devices, not for hardware upgrades. Virtual cloud desktops can also be expanded instantly. In short, enterprises always have the licenses and devices they need to support an ever-growing number of employees. According to Allied Market Research, the global market for virtual cloud desktops is projected to reach $ 10.2 billion by 2023, with a compound annual growth rate of 16.5% since 2017.

Cloud costs:

The initial cost of cloud computing is much lower than the cost of purchasing and setting up your on-premises IT infrastructure and systems. The same applies to the need for hardware and software maintenance and upgrades and the cost of the staff responsible for those duties. However, that doesn’t mean that moving to the cloud is always a cheap proposal. If not properly managed, the variable cost nature of the cloud can exceed your budget and increase your total cost in the long run.

Why are cloud services becoming more popular?

This allowed us to quickly adapt and meet the ever-changing needs of businesses and their employees. Cloud computing can handle large amounts of data and facilitate global deployment, enabling enterprises to create more innovative and dynamic ways of working.

Cloud services have become so popular in part because cloud storage is so much more secure than a local server. … As a result, Partner, a global IT service management company, expects cloud storage to become one of the most popular small businesses data protection options.

What are the latest cloud technologies?

Edge, Serverless, SASE, Cloud Migration and Data Privacy, Automated Cloud Orchestration, Multi-Cloud.

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Innovation and Application

IoT-IIoT-Industrial-Internet-Connectivity-Automation-Robotics-Digital-Technologies-Stock-Image
IoT-IIoT-Industrial-Internet-Connectivity-Automation-Robotics-Digital-Technologies-Stock-Image

Innovation and Application Development

In addition to supporting more efficient technology operations, cloud computing has helped improve collaboration between employees across teams, departments, and regions. Collaboration: Remote work isn't a new phenomenon, but it's become much more common these days, and the rise of cloud collaboration platforms makes this approach more viable. Secure networks, conferencing, and communication platforms have become an integral part of modern organizations. Adroit Market Research predicts that the enterprise collaboration market could reach $ 45 billion by 2025 as more employees choose real-time communication. Collaboration platforms are also becoming more sophisticated, from real-time updated spreadsheets and other types of work management software to advanced data warehouse modeling tools that keep teams up to date across regions. Virtual cloud desktops: Virtual cloud desktops, also known as desktop-as-a-services, deliver the entire desktop operating system and software applications directly to laptops, desktops, or other devices as cloud-based services. Enterprises pay only for the time staff spend logging into their devices, not for hardware upgrades. Virtual cloud desktops can also be expanded instantly. In short, enterprises always have the licenses and devices they need to support an ever-growing number of employees. According to Allied Market Research, the global market for virtual cloud desktops is projected to reach $ 10.2 billion by 2023, with a compound annual growth rate of 16.5% since 2017. Cloud costs: The initial cost of cloud computing is much lower than the cost of purchasing and setting up your on-premises IT infrastructure and systems. The same applies to the need for hardware and software maintenance and upgrades and the cost of the staff responsible for those duties. However, that doesn't mean that moving to the cloud is always a cheap proposal. If not properly managed, the variable cost nature of the cloud can exceed your budget and increase your total cost in the long run. Why are cloud services becoming more popular? This allowed us to quickly adapt and meet the ever-changing needs of businesses and their employees. Cloud computing can handle large amounts of data and facilitate global deployment, enabling enterprises to create more innovative and dynamic ways of working. Cloud services have become so popular in part because cloud storage is so much more secure than a local server. ... As a result, Gartner, a global IT service management company, expects cloud storage to become one of the most popular small businesses data protection options. What are the latest cloud technologies? Edge, Serverless, SASE, Cloud Migration and Data Privacy, Automated Cloud Orchestration, Multi-Cloud.

IT security and data compliance are major concerns for both enterprises and customers, and today’s cloud solutions have evolved to address these concerns. Vendors offer state-of-the-art data control and protection that reduces the risk of human error when managing sensitive data.

Complexity of compliance:

Compliance is a company’s priority as companies collect more data from more and more sources and governments enact data protection regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). It is a matter. Cloud storage and applications improve access to business data and give enterprises more control over how information is managed. Data governance has become a central consideration for all IT investments, especially when implementing solutions that process sensitive financial data and other personal information about customers.

Better cloud security:

IT security threats are increasing. For example, the number of global ransomware attacks in which cybercriminals steal corporate data and hold them hostage until the ransom is paid increased nearly five-fold in 2020. Leading cloud providers support their solutions with best-in-class IT security practices. , Mitigates many of the threats.

 SASE:

As employees access more services and data from their devices outside their IT network, companies are rethinking their approach to security and risk management. Gartner’s coined word Secure Access Service Edge (SASE) is a cloud-based IT security approach that addresses the changing nature of work. Companies adopting the SASE architecture all benefit from cloud-based network security services such as secure gateways, firewalls, and zero-trust network access. This is a robust approach to IT security that gives businesses the peace of mind that they are delivering new cloud services quickly and their systems are well protected.

Cloud-based disaster recovery:

According to Forrester, disaster recovery is moving to the cloud, and by the end of 2021 more companies are expected to move on-premises disaster recovery to the public cloud. Similar to traditional disaster recovery, but cloud-based disaster recovery is generally cost-effective and time-efficient, with the added bonus of backing up corporate data to an external cloud server and being managed by an external provider. .. In addition, enterprises can add, modify, and remove data from these external systems as they see fit, without having to extend their own IT infrastructure. Companies also often rely on cloud-based disaster recovery for mission-critical servers and applications such as large databases and ERP systems.

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Smarter Working with the Cloud

Smarter-Working-with-the-Cloud-features
Smarter-Working-with-the-Cloud-features

Smarter Working with the Cloud

Smarter-Working-with-the-Cloud

The cloud has emerged as more than a means of computing power. Cloud storage and platforms also help companies modernize their work practices by driving more efficient work practices, saving time and money, and driving innovation.

Machine learning and artificial intelligence:

Cloud-based artificial intelligence (AI) technologies, including machine learning, are helping companies add value as the amount of data they collect continues to grow. 

From logistics companies that analyze the efficiency of transportation networks to e-commerce brands that test website performance in real time, AI algorithms enable companies to gather new insights from their data and improve their way of working. 

Companies that don’t have the budget or talent to build their own AI infrastructure (many companies don’t) can take advantage of the AI infrastructure by running the cloud service provider’s system.

Automation:

Automation is an important driver of cloud adoption, especially when it comes to improving the efficiency of business operations.

 By centralizing data and systems in the cloud, enterprises can automate many of their internal processes, such as integrating data from different locations and creating business intelligence dashboards.

Today, many organizations are trying to strengthen the connectivity between different software with the goal of better managing their growing cloud footprint and ensuring that solutions from different vendors work together seamlessly.

Delegation of IT ops:

As more vendors launch solutions that can be hosted on external servers, some companies will choose to outsource some of their IT operations to third parties. 

Instead of hiring a dedicated team to build, manage, and maintain the system, companies can reduce operational costs and focus on their core products or services. 

However, sensitive data and technology must be considered when deciding which operations to outsource so as not to compromise governance or compliance practices.

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Cloud Delivery Models

Infrastructure Optimization & Management
Infrastructure Optimization & Management

Cloud Delivery Models

Software-as-a-Service (SaaS) applications deliver software that users access through a browser over the Internet. Vendors manage hardware, databases, security, and infrastructure, but users can usually configure software to suit their needs. For example, customer relationship management for sales, service, marketing, HR software for HR.

cloud delivery models

SaaS: Software-as-a-service (SaaS)

Software-as-a-Service (SaaS) applications deliver software that users access through a browser over the Internet. Vendors manage hardware, databases, security, and infrastructure, but users can usually configure software to suit their needs. For example, customer relationship management for sales, service, marketing, HR software for HR.

PaaS: Platform-as-a-service (PaaS) 

Platform-as-a-Service (PaaS) cloud solutions provide developers with the software and operating systems they need to build cloud-based applications. Whether it’s a mobile app for better inventory tracking or a social media platform for consumers. Enterprises are starting to use PaaS cloud systems for network security because they can easily customize them to their specific security requirements.

Multi Cloud

Certain companies want to distribute their internal computer processing and storage requirements across multiple cloud platforms and applications from different vendors, often based on their needs. 

For example, it is common to choose different cloud providers for different features such as ERP, security, and marketing technology. An all-in-one business management platform that supports a large number of features is the best option for many companies, but it may still require complementary solutions to support other areas of the business. 

Enterprises may also extend the use of public clouds to their computing resources to avoid lock-ins and leverage them in negotiations.

Private cloud

A private cloud is a cloud computing model in which services are provided through a private infrastructure to use a single business, usually managed by the same business. Businesses are choosing private cloud to enjoy the benefits of cloud services through vendors without taking the cost of building and maintaining the cloud infrastructure itself.

Hybrid cloud

Many companies are opting for a hybrid cloud model that combines public cloud services with a single business-only private cloud deployment. This is especially true for organizations that collect sensitive data or do business in highly regulated industries such as insurance where data privacy is essential. 

The hybrid approach is attractive because it provides customers with the level of control they need without disrupting innovation or scale as they deploy new services.

Serverless

Serverless computing is a type of cloud computing that enables enterprises to access their IT infrastructure on demand without the need for capital investment or management of the infrastructure itself. 

The difference between general cloud computing and serverless is based on how resources are allocated. Serverless is a subset of PaaS used by enterprises that require a lot of processing power, but bursts are short. Compiling software code is one example.

The serverless model is attracting attention among large and small businesses that want to build new applications quickly but lack the time, resources, and budget to process their infrastructure. This will enable growing companies to leverage better computing power at a reasonable cost, allowing large organizations to deploy new digital services without increasing the burden on their already growing IT teams. 

In fact, 25% of developers will be using serverless computing by the end of 2021, global research firm Forrester predicts.

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compliance and security trends

Compliance and Security Trends
Compliance and Security Trends

Compliance and Security Trends

Compliance and Security Trends

IT security and data compliance are major concerns for both enterprises and customers, and today’s cloud solutions have evolved to address these concerns. Vendors offer state-of-the-art data control and protection that reduces the risk of human error when managing sensitive data.

Complexity of compliance:

Compliance is a company’s priority as companies collect more data from more and more sources and governments enact data protection regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). It is a matter. Cloud storage and applications improve access to business data and give enterprises more control over how information is managed. Data governance has become a central consideration for all IT investments, especially when implementing solutions that process sensitive financial data and other personal information about customers.

Better cloud security:

IT security threats are increasing. For example, the number of global ransomware attacks in which cybercriminals steal corporate data and hold them hostage until the ransom is paid increased nearly five-fold in 2020. Leading cloud providers support their solutions with best-in-class IT security practices. , Mitigates many of the threats.

 SASE:

As employees access more services and data from their devices outside their IT network, companies are rethinking their approach to security and risk management. Gartner’s coined word Secure Access Service Edge (SASE) is a cloud-based IT security approach that addresses the changing nature of work. Companies adopting the SASE architecture all benefit from cloud-based network security services such as secure gateways, firewalls, and zero-trust network access. This is a robust approach to IT security that gives businesses the peace of mind that they are delivering new cloud services quickly and their systems are well protected.

Cloud-based disaster recovery:

According to Forrester, disaster recovery is moving to the cloud, and by the end of 2021 more companies are expected to move on-premises disaster recovery to the public cloud. Similar to traditional disaster recovery, but cloud-based disaster recovery is generally cost-effective and time-efficient, with the added bonus of backing up corporate data to an external cloud server and being managed by an external provider. .. In addition, enterprises can add, modify, and remove data from these external systems as they see fit, without having to extend their own IT infrastructure. Companies also often rely on cloud-based disaster recovery for mission-critical servers and applications such as large databases and ERP systems.

Call us at +91 75400 07581 to learn more about our IoT solutions for manufacturers or schedule a consultation online.

We can assist you in connecting your devices to a customized mobile application.

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Purpose of devops

digital-market
digital-market

What is the main purpose of DevOps?

Purpose of devops

DevOps is a combination of cultural practices, philosophies, and tools that enhance an organization’s capability to deliver applications & services at high speed. This means developing and improving products at a quicker pace than organizations that use traditional S/W development and infrastructure management processes. This speed validates organizations to better serve customers and compete more productively in the market.

DevOps Working Process:

In the DevOps model, development and operations teams are no longer “siloed”. In some cases, these two teams are combined into one team, where engineers work throughout the application lifecycle from development and testing to deployment and operations, developing a variety of skills that are not limited to a single function.

For some DevOps models, quality assurance and security teams may also be more tightly integrated with development and operations throughout the application lifecycle. If security is the focus of everyone on the DevOps team, this is sometimes referred to as DevSecOps.

These teams use practices to automate previously manually time-consuming processes. They use technology stacks and tools to help them operate and evolve their applications quickly and reliably. These tools also help engineers perform tasks independently (for example, code deployment and infrastructure provisioning). This usually requires the help of other teams, further speeding up the team.

Benefits of DevOps

Bringing together development and operations teams reduces lead times, deploys more often, and creates higher quality software.

Reliability:

Ensure the quality of application updates and infrastructure changes to ensure delivery at a faster pace while maintaining a positive experience for end users. Test that each change is functional and secure, using techniques such as continuous integration and continuous delivery. Monitoring and logging practices can help you get real-time performance information.

Speed:

Moving fast enables you to innovate quickly for your customers, adapt better to changing markets, and drive business outcomes more efficiently. The DevOps model allows developers and operations teams to achieve these results. For example, microservices and continuous delivery allow teams to take ownership of the service and release service updates more quickly.

Faster delivery time:

Increase the frequency and pace of releases to enable your products to innovate and improve faster. The faster you release new features and fix bugs, the faster you can respond to your customers’ needs and build a competitive advantage. Continuous integration and continuous delivery are techniques that automate the software release process from build to deployment.

Scale:

Operate and manage infrastructure and development processes at a scale. Automation and consistency helps you to manage complex or changing systems more efficiently with low risk. For example, infrastructure as code helps you manage your development, production, and testing environments in a repeatable and more powerful way.

Improved Collaboration:

Create a more effective team according to the DevOps cultural model, which emphasizes values ​​such as ownership and accountability. Developers and operations teams work closely together, share many responsibilities, and integrate workflows. This reduces inefficiencies and saves time (e.g. reduced handover time between developer and operation, writing code that takes into account the open environment).

Security:

Move fast while maintaining control and maintaining compliance. With automated compliance policies, good controls, and configuration management techniques, you can use the DevOps model without sacrificing security. For example, using infrastructure as code and policies as code, you can determine and track compliance at scale.

Why DevOps Matters:

Software and the Internet have changed the world and the industry, from shopping to entertainment to banking. Software is no longer just about supporting your business. Rather, it becomes an integral component of every part of the business. Enterprises interact with their customers through online services or applications, and through software delivered on all types of devices. We also use software to improve operational efficiency by transforming all parts of the value chain, including logistics, communications, and operations. Just as physical commodities companies used industrial automation to transform the way they design, build, and deliver products throughout the 20th century, today’s companies around the world are building and delivering software. Need to change.

Call us at +91 75400 07581 to learn more about our IoT solutions for manufacturers or schedule a consultation online.

We can assist you in connecting your devices to a customized mobile application.

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