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What to do if your PC gets a virus

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Do you believe your PC has a virus? If your computer is infected, you must know how to get rid of the virus. However, before we jump into explaining how to rid your PC of a virus, let’s look at what precisely a computer virus is and how to tell if your computer has one.

What is a Computer Virus?

Computer viruses or malware are malicious software programs that, like the common cold, are designed to self-replicate. To self-replicate means to make copies of itself. So essentially, the way a computer virus works is it creates copies of itself on any drive connected to your PC. This is how the virus spreads throughout your whole system. Once your computer has been infected, it may slow down or stop working correctly.

How Do You Know If Your PC Has Been Infected?

There are a variety of signs that indicate that your PC may have a virus.

  1. Is your computer slow? Does everything take longer than usual?
  2. Are there apps or programs on your computer that you don’t recognize or remember downloading?
  3. Are the apps or programs on your PC behaving strangely?
  4. Is your computer overheating?

Computer viruses are pretty much always invisible, and the only way to know for sure whether you have one is with antivirus protection. The best antivirus software will include a virus scanner that runs automatically in the background of your PC. It will then alert you whenever a virus is detected. However, if you haven’t had a chance to install antivirus software and you suspect that your computer is contaminated, you should follow the steps listed below.

How to Remove a Virus from Your PC

Download and install an antivirus program

You will need a virus scanner or a complete internet security solution to help in the virus removal process. There are many free options out there but make sure to read the reviews first to ensure that you’re getting a quality program.

Disconnect from the Internet

Due to the fact that many viruses use an internet connection to spread, you should disconnect from the internet to prevent further damage.

Reboot your Computer Using Safe Mode

You must protect your computer while removing the virus. Therefore, you should shut down your computer and then boot it up again in “Safe Mode.”

This is relatively simple to do. First, turn your computer off, then turn it on again. When the screen light comes on, press F8 to bring up the “Advanced boot options” menu. Select “Safe Mode with Networking,” but do not connect to the internet.

Permanently Delete Any Temporary Files

While in “Safe Mode,” you need to delete any of your temporary files using “Disk Cleanup.”

To do this, you’ll need to search for “Disk Cleanup” in the Windows search box. A box will pop up with a list of drives. Choose the drive you want to clean-up, (in this case, “Temporary Files”) and then select OK.

Run a Virus Scan with Your Antivirus Software

It’s now time to run a virus scan using the antivirus software you downloaded in step one. All programs are different, so you will need to navigate your program’s menu to find the scan option.

Remove or Quarantine the Virus

If your antivirus program finds a virus, it may have affected multiple files. Therefore, you will need to select “Delete” or “Quarantine” to remove the infected files and get rid of the virus.

Rescan and Reboot Your Computer

After you’ve removed the infected files, you need to rerun the virus scan to be sure it’s truly gone. Then, you need to reboot your computer. However, you do not need to boot it up in “Safe Mode” this time.

Change Your Passwords

Although there is no longer a virus on your PC, it’s possible that while your computer was infected, your passwords were compromised. Therefore, to protect yourself from a future attack, you should change all your passwords.

Update all your Software programs, Browsers, and Operating Systems

The most common way for hackers to infect your PC is by exploiting flaws in old code. For this reason, you want to make sure that all your software, browsers, and operating systems are up to date with the latest versions.

Conclusion

There are many ways for a PC to get infected with a virus. Fortunately, it’s not the end of the world. If you have an antivirus program, you’ll be alerted to the issue, and you can then take steps to resolve it.

 

 

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Beginners Steps to Land on a DevOps Engineer Profile

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Considering the current IT market, the domain that looks like the best option for the IT folks’ career growth and salary is DevOps. DevOps is not a technology or a tool. Still, it is a culture, practice, or movement that emphasizes the communication and collaboration of both developers and operations teams while working on the automation of software infrastructure and delivery process. But the question that arises is what steps you must take to become a DevOps Engineer? Well, to answer it, the simple solution is DevOps Engineer Certification. But before that, let us dive into the process step-by-step and understand how you can practice DevOps effectively.

Organizations need people who are collaborative for adopting DevOps practices. They need people who are willing to change and are comfortable in adopting new technologies. Considering a tooling perspective, a good understanding of automation tools, systems, CI tools, networking, version control systems, and having experience in using various project management tools will help in paving the path for the adoption of DevOps.

The bitter fact is that you must understand that DevOps is not just for some systems or developers engineers. It is for anyone passionate about evolving technologies, practices, and willingness to work in a collaborative environment and work on automation to make everyone’s life better and easier. Here are a few steps that you can follow to land on a DevOps engineer profile:

Know the DevOps Culture

Before becoming a DevOps engineer, the first and foremost thing to do is understand the DevOps culture. DevOps is all about various teams working together to accomplish a common goal. We need DevOps to reduce the blame game in the company and establish a culture between different IT teams for better communication and hence better outcomes. Also, once you start practicing DevOps culture and understand it completely, you will realize that “Automation and CI/CD is DevOps” is a myth. With DevOps master certification, you can understand it better.

Learn the Unix System

We are living in an era where life without Linux or Unix systems is close to impossible. You should understand these systems better and know about various Linux distributions and their highly used workings (such as Ubuntu, RHEL, CoreOS, Centos, etc.). In the world of Unix, it’s all about terminal and less about GUI. So, start getting your hands dirty with the terminals of Unix systems.

Understand the Infrastructure and Working of Components

The primary building block of an organization is nothing but its infrastructure. It can either be on the on-premise data center or the cloud. Having an overview and understanding of the infrastructure components is a must for an individual aspiring to work in or practice in a DevOps environment. It will help gain a basic knowledge of networking, storage, single sign-on, load balancers, security, VPN, security, etc.

Get Cloud Certification

When it is about getting certification, don’t try to give the exam for the sake of a certificate, but do it only when you mean it. It will add significant value to your resume and will also help in boosting your knowledge. It won’t just be helpful for you but also for the organization to show that they have certified cloud engineers on board. You can pick one public cloud and gain knowledge of its core infrastructure services. To understand how it works in a better manner, do hands-on work on all the core services. You can get a DevOps Master certification, which can help you learn this better.

Learn Automating

These days no servers are created manually. It’s all about automation, and automation has become a crucial aspect of every company. These days right from application configuration, to provisioning servers, to deployment, everything must be automated, and hence you must spread your arms across various DevOps tools that meet your requirement. For example – Vagrant, Minikube, Docker Desktop, Minishift, CLIs, Terraform, Packer, Saltstack, Ansible, Puppet, Chef, etc.

Distributed Systems, Containers, & Service Mesh

The adoption of containers is increasing as the days are passing by. It might be a case that the organization you are working in doesn’t work using containers now. But, it is always preferred to have hands-on knowledge of different container technology, for example, docker. It provides a competitive edge among others. On completing docker, you can also try orchestration tools and clustering like Docker Swarm, Kubernetes, etc. The platforms mentioned are best suited for architecture based on microservice.

Logging and Monitoring

The fundamental aspects of infrastructure are monitoring and logging. Almost all the apps deployed in the infrastructure produce metrics and logs. Depending on the design and architecture, records are stored in the logging infrastructure. All the companies will have a monitoring and logging infrastructure. The most widely used logging stacks are ELK and Splunk. There are also a few SaaS that provide the logging infrastructure, for example, Loggly.

DevSecOps

You must also understand the best security practices. DevSecOps is another domain that works on integrating security practices in every stage of the DevOps. Especially in a cloud environment, the most common attack is crypto mining. Usually, this happens in an organization when they don’t maintain the cloud access secrets properly. This helps the hackers to get access to it easily.

Learn Scripting and Coding

To collaborate better, you need to understand the Developers’ world better. And for doing so, you need to understand the development process of an organization. So, understanding APIs, programming, etc., will help you collaborate better and troubleshoot things.

Learn Git

Having version control for everything you do is essential. It won’t take much of your time to learn, and also, it is crucial to understand the git operations anyway. You can take up some time to learn the tutorials available online. And, of course, Git is always the best version control tool you can ask for.

Conclusion

DevOps is a promising career path with a flourishing future growth. DevOps Engineer Course can help an individual in making a great start to their journey in DevOps.

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3 Important Features to Look for in Employee Monitoring Software

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Employee monitoring software keeps track of what your employees do during working hours. You may monitor staff productivity, manage billable hours, and even detect security concerns using the tool’s data. As a result of the epidemic, many companies have adopted a remote solution or even a 100 percent wireless staff model. As a result, many businesses are using remote employee monitoring software. The following are key characteristics to look for in employee monitoring software.

  1. User-Friendly Design

When it comes to handling apps and software, some individuals may be average. As a result, you should choose an easy-to-use employee tracking software. As a result, employees with non-technical backgrounds may use them with ease. That said, you are not required to compromise on the software’s robustness. Unfortunately, it isn’t easy to make a powerful piece of software easy to use. Most firms that give their rivals a run for their money strive to develop something useful to utilize. So, if you choose employee monitoring software from this perspective, you will save a lot of time that would otherwise be lost educating people on using it. Remember that the goal of an employee monitoring tool is to increase, not decrease, your workforce’s productivity.

  1. Geo-fencing Feature

When it comes to giving employees flexibility and comfort at work, the CEO of a firm should always tread carefully. After all, you can only control them to a limited amount. As a result, geofencing is a tool that gives employees more freedom while also boosting your company’s growth. In a nutshell, geofencing is a system that allows employees to clock in from several places at the same time. However, if they are not in one of the geofencing border areas, they are prohibited from doing so. Employees of some companies, for example, are permitted to work from home or the office. However, they can’t use geofencing to clock in if they aren’t at their office hour at either of the two locations. Also, suppose one of your workers cannot attend the office regularly or work from a remote location such as a restaurant. In that case, that location may be geofenced to allow them to clock in during office hours.

  1. Analytics And Reporting

Employee monitoring software that is successful should be able to gather as well as evaluate numerous metrics. The study is required to assess staff productivity and identify areas for improvement. Employers, for example, might learn how to prioritize work differently or automate repetitive manual activities. Your employee productivity tracking software should show all important gathered metrics in a simple format, such as dashboards and graphs, to analyze. Managers will be able to get a complete picture of employee performance and compare productivity ratings among employees, which will affect decisions regarding promotions, compensation evaluations, extra training, and other matters. It’s ideal to choose a solution that allows you to assess project efforts and resources by combining data and metrics from many internal sources into a single integrated system.

Overall, your company should choose an employee tracking software that is simple to connect with your current learning management system. As a result, businesses want a low-cost staff monitoring system that secures and controls everything to win their remote work fights.

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Growth of the Artificial Intelligence Market

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Among all the cutting-edge technologies surrounding humankind today, Artificial Intelligence or A.I. can easily be regarded as the most disruptive one. From capturing perfect pictures to predicting what you can say in an email, there’s practically no product that hasn’t incorporated this emerging technological wonder.

Today, industry leaders have much to gain from the meaningful insights of artificial intelligence market research for uncovering the immense potential of A.I. and Machine Learning (ML) based applications for forging ahead.

In 2020, the international A.I. market size was worth USD 62.35 billion. Now it is estimated to expand at a growth rate of 40.2 percent in the coming eight years. The widespread growth of the market is the outcome of constant innovation by the tech giants. It’s the reason behind the increased adoption of this emerging technology in various industry verticals.

Impact of COVID-19 Pandemic on the AI Market

The pandemic has stimulated an array of technological developments in the A.I. sector. Healthcare is one specific domain, which has witnessed an accelerated adoption of tools and solutions based on this technology.

The artificial intelligence market research highlights significant advances made possible in the healthcare sector in areas like precision medicine, robot-assisted surgery, drug discovery, and diagnostic and clinical decision support.

The expansion in the A.I. market is also due to companies and enterprises resuming their operations while adjusting to the new normal imposed by the pandemic. In this era of remote working, companies invest in AI-based products and services to enhance their efficiency, as the technology enables them to make insightful decisions and get better results.

Key Driving Factor

Businesses globally have realized the need for fully autonomous robots to help them stay ahead in the market. By 2022, it is estimated that the A.I. and surgical robots market will be worth 18 billion U.S. dollars.

Autonomous robots can interact, understand, and conceptualize the world around them. AI-enabled automation has proved its worth in different applications across aviation, medical, agriculture, and material handling industries. Apart from automation, the technology also helps to diagnose product malfunctions and anomalies.

Technology Insights

Deep learning, a subset of A.I., accounted for approximately 38.0 percent share of international revenue in 2020. This large share is primarily due to deep learning-based complex data-driven applications like speech recognition.

It enables industry leaders to overcome the obstacle of enormous data volumes and thus presents profitable investment opportunities. ML and Deep Learning together make up a majority of investments in the A.I. domain. AI-based cognitive applications and platforms facilitate the creation of intelligent solutions.

The rising deployment of on-premises hardware equipment and cloud-based computing platforms offers a solution to the problem of safe and secure restoration of massive data. It has made way for the growth of the analytics platform.

Expansion in Government Initiatives for the Adoption of A.I. Technology

Two factors, namely, the increase in the number of A.I. applications and their easy deployment, have led governments to make significant investments in this technology. In August 2020, a budget of USD 1 billion was allocated by the U.S. government for establishing A.I. research labs.

In March 2021, Canada’s government allocated USD 518 million to develop research infrastructure for this technology. The government of the U.K. invested USD 27.5 million for 15 A.I. research projects in the healthcare domain.

The global A.I. market size has grown from USD 62.35 billion to 93.53 billion in a single year. As more research is being conducted, the future looks bright and strong for this technology to flourish in every sector.

 

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