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kumuda ks

2 weeks ago

What is Data Science (DS)?

Data Science is a blend of various fields like Probability, Statistics, Programming, Analysis, Cloud Computing, etc; which are used to extract value from the data provided. It is a vast field which is a  booming field and all people are learning these skills to become a professional in this domain. A skilled person in all the above-mentioned sub-domains of data science is called a Data Scientist. He/She is a very skilled person in all the areas of DS. Learn Data Science Training and get successful .

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kumuda ks

1 month ago

How do these RPA approaches work?

With the layered approach, different parts of a process automation are divided into different layers, each responsible for certain functionalities. Certain aspects require the work of process architects, while other aspects can be handed off to configurers. This approach to automation design eases development and also can make the automation easier to understand. [USE FIGURE 4-2: Building workflows in the Process Automation Design tool.]

At the top is your process layer, and below that are subprocesses that can be nested into main processes. One layer down are objects, or procedures for specific tasks, which can be built from yet another layer of components or screen interactions. The further down you go, the more the logic can be reused from one system to another and from one process to another.

Learn more about RPA Course and get successful.

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kumuda ks

1 month ago

Ethical hacking

Ethical hacking is an emerging tools used by most of the organizations for testing network security. The security risks and vulnerabilities in a network can be recognized with the help of ethical hacking. This research completely concentrates on ethical hacking, problems that may occur while hacking process is in progress and various ethical hacking tools available for organizations. Information is the important source for any organizations while executing business operations. Organizations and government agencies have to adopt ethical hacking tools in order secure important documents and sensitive information (Harold F. Tipton and Micki Krause, 2004). Ethical hacker professionals have to be hired in order to test the networks effectively. Ethical hackers perform security measure on behalf of the organization owners. In order to bring out the ethical hacking efforts perfectly a proper plan must be executed. Ethical hacking has the ability to suggest proper security tools that can avoid attacks on the networks. Hacking tools can be used for email systems, data bases and voice over internet protocol applications in order to make communications securely. Ethical hacking can also be known as penetration testing which can be used for networks, applications and operating systems (Jeff Forristal and Julie Traxler, 2001). Using hacking tools is a best method for identifying the attacks before it effect the entire organization. Ethical hackers are nothing but authorized users for the sensitive information or networks of an organization. Using hacking techniques for handling employees in organization and for solving critical judicial cases is not a crime. An ethical hacker use same tools and actions as performed by normal hacker. The main aspect in ethical hacking is that target permission is essential for performing hacking on the information. Ethical hacking can be used while performing security audits in the organization (Kevin Beaver, 2010). Thus, ethical hacking can help in testing the networks by finding out various vulnerabilities. In ethical hacking, a user will get permission to access the important data. Learn Ethical Hacking Training and get successful.

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kumuda ks

1 month ago

Artificial Intelligence applications

Artificial intelligence has a plethora of uses. The technique can be used in a wide range of industries and areas. In the healthcare sector, AI is being tested and employed for surgical operations in operating rooms, medicine administration, and various patient treatments.
Other instances of artificially intelligent machines include chess-playing computers and self-driving automobiles. Each of these machines must consider the effects of every decision they make because every action has an effect on the outcome. The goal in chess is to win the game. In order for self-driving cars to function in a way that avoids collisions, the computer system must calculate all external data and take it into consideration.
The banking sector is another area where artificial intelligence is used. where it is utilised to spot and alert financial and banking behaviour including irregular debit card use and sizable account deposits, all of which support a bank's fraud division. AI applications are also being utilised to facilitate and ease trade. This is accomplished by simplifying the estimation of securities' supply, demand, and pricing.

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kumuda ks

2 months ago

What ethical hackers do?

Ethical hackers use their knowledge to secure and improve the technology of organizations. They provide an essential service to these organizations by looking for vulnerabilities that can lead to a security breach. An ethical hacker reports the identified vulnerabilities to the organization.

  1. Stay legal. Obtain proper approval before accessing and performing a security assessment.
  2. Define the scope. Determine the scope of the assessment so that the ethical hacker’s work remains legal and within the organization’s approved boundaries.
  3. Report vulnerabilities. Notify the organization of all vulnerabilities discovered during the assessment. Provide remediation advice for resolving these vulnerabilities.
  4. Respect data sensitivity. Depending on the data sensitivity, ethical hackers may have to agree to a non-disclosure agreement, in addition to other terms and conditions required by the assessed organization.
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kumuda ks

2 months ago

Business analytics use cases

More and more departments are trying to better understand how their decisions and budgets affect the business at large. With business analytics software, it’s possible to use data to drive strategic decisions, regardless of task or department:

Marketing: Analytics to identify success and impact
Which customers are more likely to respond to an email campaign? What was the last campaign’s ROI? More and more marketing departments are trying to better understand how their programs affect the business at large. With AI and machine learning powering analysis, it’s possible to use data to drive strategic marketing decisions.

Human Resources: Analytics to find and share talent insights
What actually drives employee decisions regarding their career? More and more HR leaders are trying to better understand how their programs affect the business at large. With the right analytical capabilities, HR leaders are able to quantify and predict outcomes, understand recruitment channels, and review employee decisions en masse. Learn more

Sales: Analytics to optimize your sales
What is the critical moment that converts a lead to a sale? In-depth analytics can break down the sales cycle, taking in all of the different variables that lead to a purchase. Price, availability, geography, season, and other factors can be the turning point on the customer journey—and analytics offer the tool to decipher that key moment. 

Finance: Analytics to power predictive organizational budgets
How can you increase your profit margins? Finance works with every department, be it HR or sales. That means that innovation is always key, especially as finance departments face larger volumes of data. With analytics, it’s possible to bring finance into the future for predictive modeling, detailed analysis, and insights from machine learning.

Learn Business Analytics Course and get successful.

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kumuda ks

2 months ago

What is DevOps tool?

DevOps Tool is an application that helps automate the software development process. It mainly focuses on communication and collaboration between product management, software development, and operations professionals.

Repositories of code. Multiple developers can collaborate on code using version-controlled source code repositories. Developers verify code in and out, and if necessary, they can revert to a previous version of code. These programmes keep track of the changes made to the source code. Without tracking, developers may find it difficult to keep track of which modifications are new and which code versions are available to end users.

A code change committed to the version-control repository in a CI/CD pipeline automatically triggers further processes, such as static code analysis, build, and unit tests. Git and GitHub are two source code management tools.

Repositories for artefacts. For testing, source code is compiled into an artefact. Version-controlled, object-based outputs are possible with artefact repositories. Artifact management is an excellent strategy forThe same considerations apply to source code version control. JFrog Artifactory and Nexus Repository are two examples of artefact repositories.

Engines for CI/CD pipelines. CI/CD allows DevOps teams to automate the validation and delivery of apps to end users throughout the development lifecycle. The continuous integration tool sets up processes so that developers can write, test, and validate code in a shared repository as often as they want without having to do any human effort. Continuous delivery extends these automated stages to include production-level testing and release management configuration configurations. Continuous deployment takes things a step further by including tests, setup, and provisioning, as well as monitoring and rollback options. Jenkins, GitLab, and CircleCI are popular CI, CD, and both tools.

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kumuda ks

2 months ago

What are the 4 types of AI and how do they differ?

AI initiatives are often talked about in terms of their belonging to one of four categories:

  1. Reactive AI relies on real-time data to make decisions.
  2. Limited Memory AI relies on stored data to make decisions.
  3. Theory of Mind AI can consider subjective elements such as user intent when making decisions.
  4. Self-Aware AI possesses a human-like consciousness that is capable of independently setting goals and using data to decide the best way to achieve an objective.

A good way to visualize these distinctions is to imagine AI as a professional poker player. A reactive player bases all decisions on the current hand in play, while a limited memory player will consider their own and other player’s past decisions.

A Theory of Mind player factors in other player's behavioral cues and finally, a self-aware professional AI player stops to consider if playing poker to make a living is really the best use of their time and effort.

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kumuda ks

2 months ago

Which of the major tech firms is winning the AI race?

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Internally, each tech giant and others such as Facebook use AI to help drive myriad public services: serving search results, offering recommendations, recognizing people and things in photos, on-demand translation, spotting spam -- the list is extensive.

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kumuda ks

3 months ago

How Power BI matches your role ?

The way you utilise Power BI may be determined by your project or team role. Other people in various roles may utilise Power BI in a different way.
You might, for example, utilise the Power BI service primarily to examine reports and dashboards. Your number-crunching, business-report-creating teammate might produce reports with Power BI Desktop or Power BI Report Builder, then publish them to the Power BI service, where you can access them. Another coworker in sales, for example, would primarily use the Power BI phone app to track sales targets and delve down into fresh sales prospect data.
Developers can utilise Power BI APIs to push data into datasets or embed dashboards and reports into their own applications. Learn Power BI Course and get successful.

unique applications Do you have a concept for a new visual? Make your own and share it with others.
Depending on what you're attempting to do or your role in a project, you might use each Power BI feature at different times.
Which feature or service of Power BI is the greatest tool for your situation can influence how you use it. You may use Power BI Desktop to create reports for your own team regarding customer engagement statistics, and you can utilise the Power BI service to view inventory and manufacturing progress in a real-time dashboard. Based on a Power BI dataset, you may produce a paginated report of mailable bills. Each component of Power BI is accessible.

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kumuda ks

3 months ago

What is AWS used for?

As the lead cloud computing platform, Amazon Web Services (AWS) is the primary profit driver for Amazon. AWS provides servers, storage, networking, remote computing, email, mobile development, and security. AWS accounts for about 13% of Amazon's total revenue as of Q2 2021.

Cost Savings

Jeff Bezos has likened Amazon Web Services to the utility companies of the early 1900s. One hundred years ago, a factory needing electricity would build its own power plant but, once the factories were able to buy electricity from a public utility, the need for pricey private electric plants subsided. AWS is trying to move companies away from physical computing technology and onto the cloud.

Scalable and Adaptable

Since AWS’s cost is modified based on the customers’ usage, start-ups and small businesses can see the obvious benefits of using Amazon for their computing needs. In fact, AWS is great for building a business from the bottom as it provides all the tools necessary for companies to start up with the cloud. For existing companies, Amazon provides low-cost migration services so that your existing infrastructure can be seamlessly moved over to AWS.

Security and Reliability

Arguably, Amazon Web Services is much more secure than a company hosting its own website or storage. AWS currently has dozens of data centers across the globe that are continuously monitored and strictly maintained. The diversification of the data centers ensures that a disaster striking one region doesn’t cause permanent data loss worldwide. Imagine if Netflix were to have all of its personnel files, content, and backed-up data centralized on-site on the eve of a hurricane. Chaos would ensue.

Criticism of AWS

While the success of AWS is unquestionable, critics of the service say Amazon is abusing its control of the market share by engaging in anticompetitive behavior. This criticism has come from open-source database makers who claim Amazon is copying and integrating software that was originally created by other tech companies.

So learn AWS Course and get successful in your future.

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kumuda ks

3 months ago

What is the future of Machine Learning?

Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies.

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"> Machine Learning Course and get successful .While machine learning algorithms have been around for decades, they've attained new popularity as artificial intelligence has grown in prominence. Deep learning models, in particular, power today's most advanced AI applications.

Machine learning platforms are among enterprise technology's most competitive realms, with most major vendors, including Amazon, Google, Microsoft, IBM and others, racing to sign customers up for platform services that cover the spectrum of machine learning activities, including data collection, data preparation, data classification, model building, training and application deployment.

As machine learning continues to increase in importance to business operations and AI becomes more practical in enterprise settings, the machine learning platform wars will only intensify.

Continued research into deep learning and AI is increasingly focused on developing more general applications. Today's AI models require extensive training in order to produce an algorithm that is highly optimized to perform one task. But some researchers are exploring ways to make models more flexible and are seeking techniques that allow a machine to apply context learned from one task to future, different tasks.


 

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kumuda ks

3 months ago

What problems does Hacking identify?

While assessing the security of an organization’s IT asset(s), ethical hacking aims to mimic an attacker. In doing so, they look for attack vectors against the target. The initial goal is to perform reconnaissance, gaining as much information as possible. Learn Ethical Hacking Course and get your dream job

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Once the ethical hacker gathers enough information, they use it to look for vulnerabilities against the asset. They perform this assessment with a combination of automated and manual testing. Even sophisticated systems may have complex countermeasure technologies which may be vulnerable.

They don’t stop at uncovering vulnerabilities. Ethical hackers use exploits against the vulnerabilities to prove how a malicious attacker could exploit it.

Some of the most common vulnerabilities discovered by ethical hackers include:

  • Injection attacks
  • Broken authentication
  • Security misconfigurations
  • Use of components with known vulnerabilities
  • Sensitive data exposure

After the testing period, ethical hackers prepare a detailed report. This documentation includes steps to compromise the discovered vulnerabilities and steps to patch or mitigate them.
 

 


 

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kumuda ks

3 months ago

Is it worth learning Python in 2022?

The python programming language has been gaining popularity in recent years, and a lot of developers are looking to learn it. It’s safe to say that python will continue to be popular in 2022, but with any tool or language, it’s difficult to say if it will die out or become obsolete. However, given Python’s use cases in machine learning and general purpose use cases like web development, data science projects, etc., there is no reason to believe that Python will disappear anytime soon.

If you’re interested in Python for your career and want to know whether it is worth learning Python programming language in 2021, I would recommend not spending time on unnecessary things. Start your journey now and get started because Python can make you an excellent software engineer.

And remember: Formal training is good for teaching you all kinds of useless nonsense that you may need someday… but won’t ever actually use most days. — Larry Wall (Inventor of Perl) Python history dates back from Guido van Rossum (Developer of Python). It was officially released in 1991 for Python 1.0 version. It was first developed by Guido van Rossum as a successor to ABC language which features taken from ABC language were used in initial versions of Python Language 1.0 versions.

A few versions later after Python release, Python got its current name Python named after BBC TV show Monty Python’s Flying Circus who inspired Guido Van Rossum during his initial work on python so much so he decided to give his project one name close too monty python naming convention which made him opt for PYTHON; even though he originally wanted to call it Adam! Yes amazing right!? Amazing indeed! Learn Python Training and get your dream

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kumuda ks

3 months ago

What are the benefits of Digital Marketing?

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Digital marketing has become prominent largely because it reaches such a wide audience of people, but it offers a number of other advantages as well. These are a few of the benefits. Learn Digital Marketing Course and get successful.

A broad geographic reach

When you post an ad online, people can see it no matter where they are (provided you haven’t limited your ad geographically). This makes it easy to grow your business's market reach.

Cost efficiency

Digital marketing not only reaches a broader audience than traditional marketing but also carries a lower cost. Overhead costs for newspaper ads, television spots, and other traditional marketing opportunities can be high. They also give you less control over whether your target audiences will see those messages in the first place.

With digital marketing, you can create just 1 content piece that draws visitors to your blog as long as it's active. You can create an email marketing campaign that delivers messages to targeted customer lists on a schedule, and it's easy to change that schedule or the content if you need to do so.

When you add it all up, digital marketing gives you much more flexibility and customer contact for your ad spend.

Quantifiable results

To know whether your marketing strategy works, you have to find out how many customers it attracts and how much revenue it ultimately drives. But how do you do that with a non-digital marketing strategy?

There's always the traditional option of asking each customer, “How did you find us?"

Unfortunately, that doesn't work in all industries. Many companies don't get to have one-on-one conversations with their customers, and surveys don't always get complete results.

With digital marketing, results monitoring is simple. Digital marketing software and platforms automatically track the number of desired conversions that you get, whether that means email open rates, visits to your home page, or direct purchases.

Easier personalization

Digital marketing allows you to gather customer data in a way that offline marketing can't. Data collected digitally tends to be much more precise and specific.

Imagine you offer financial services and want to send out special offers to people who have looked at your products. You know you'll get better results if you target the offer to the person's interest, so you decide to prepare 2 campaigns. One is for young families who have looked at your life insurance products, and the other is for millennial entrepreneurs who have considered your retirement plans.

How do you gather all of that data without automated tracking? How many phone records would you have to go through? How many customer profiles? And how do you know who has or hasn't read the brochure you sent out?

With digital marketing, all of this information is already at your fingertips.

More connection with customers

Digital marketing lets you communicate with your customers in real-time. More importantly, it lets them communicate with you.

Think about your social media strategy. It's great when your target audience sees your latest post, but it's even better when they comment on it or share it. It means more buzz surrounding your product or service, as well as increased visibility every time someone joins the conversation.

Interactivity benefits your customers as well. Their level of engagement increases as they become active participants in your brand's story. That sense of ownership can create a strong sense of brand loyalty.

Easy and convenient conversions

Digital marketing lets your customers take action immediately after viewing your ad or content. With traditional advertisements, the most immediate result you can hope for is a phone call shortly after someone views your ad. But how often does someone have the time to reach out to a company while they're doing the dishes, driving down the highway, or updating records at work?

With digital marketing, they can click a link or save a blog post and move along the sales funnel right away. They might not make a purchase immediately, but they’ll stay connected with you and give you a chance to interact with them further.

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kumuda ks

3 months ago

Is cyber security a good career?

Cybersecurity is a great career to enter right now, as there is a high demand for professionals with these skills. The U.S. Bureau of Labor Statistics estimates that the employment of information security analysts will grow 31 percent from 2019 to 2029. Cyber Security Course may help you to get better knowledge.

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Cybersecurity is a great career to enter right now, as there is a high demand for professionals with these skills. The U.S. Bureau of Labor Statistics estimates that the employment of information security analysts will grow 31 percent from 2019 to 2029. In comparison, the average growth rate for all occupations is only 4 percent.

The field of cybersecurity offers plenty of variety. Businesses across all industries – from healthcare and finance to entertainment and retail – face cybersecurity challenges, so there are opportunities in countless fields and disciplines.

As a cybersecurity professional, you are on the front lines of ensuring that data stays safe and secure. For this reason, it can be rewarding and satisfying, allowing you to make a real impact. However, cybersecurity jobs also come with challenges and stress. Ensuring you have the right passion and personality can help in deciding if cybersecurity is the right field for you.

Cybersecurity analyst career paths can vary greatly depending on a person’s interests and industry, but there are certain trends that seem to be common to most who become cybersecurity professionals. Finding the right cybersecurity role depends on your experience, interests, and personality. At the core, all cybersecurity professionals are focused on protecting online data from being compromised. But within different roles, the responsibilities can vary.

Depending on your experience level, you may consider the following cybersecurity jobs:

  • Entry-level: Systems Administrator, Network Engineer, Network Administrator, Security Administrator
  • Mid-level: Cybersecurity Analyst, Penetration Tester, Security Technician, IT Auditor
  • Senior-level: Cybersecurity Manager, Cybersecurity Engineer, Chief Information Security Officer

Finding the right role also can depend on the area of cybersecurity you are most passionate about. For example, if you want to educate others and create practical solutions, you may look into being a Security Consultant. If you enjoy researching and are always on top of the latest IT technologies, consider pursuing a job as a Security Architect. If you have a technical background and want to dive into code to find security solutions, perhaps Cybersecurity Engineer is your calling.

There are countless roles within cybersecurity, so take the time to consider your interests and passions when trying to find the right fit.

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kumuda ks

3 months ago

How do I start a career in Power BI?

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You must have a computer science or information system-related background in order to pursue Power BI, as a career and some work experience within the same field is required to pursue Power BI as a career. You also must have hands-on experience with data gateway, data presentation and warehousing related projects. If you want the best career to be yours just learn the Power BI Course and get your dream job.

Behind every action there lies an unfulfilled quest and the motivation to go behind it and the same is the case here. Power BI has been crowned as the most explicit and fulfilling BI tool within the tech industry. The demand is higher in the market for professionals who are experts in Power BI, and these professionals can also demand higher salaries as a result. The average salary for a BI professional is about $117k, and it is only expected to go higher. There are tons of jobs that are being listed continually on various hiring platforms, and this demand isn’t going to get diminished anytime soon.

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kumuda ks

3 months ago

What are the trends in big Data Analytics?

Big data storage needs spur innovations in cloud and hybrid cloud platforms, growth of data lakes. To deal with the inexorable increase in data generation, organizations are spending more of their resources storing this data in a range of cloud-based and hybrid cloud systems optimized for all the V's of big data. Learn Data Analytics Course and get successful in your career 

Business Analytics, which is a mix of current tools, analytics, programming, business administration, and IT is very much in demand. Business Analytics helps us to improve upon existing data, secure them and make them available for future use in a better and more productive way.

Finance, media communications, outsourcing companies, internet business companies are some Indian sectors that make use of Business Analytics. Banks use data mining methods to filter the populated data and break down the accessible data using a few devices to identify the potential hazard sections and helps them to minimize the risks. MasterCard companies use Business Analytics to keep fake account activities at bay.

Data security is a major concern for many companies.  Many issues with data security can be solved with Data Analytics. In India, resources may be utilized to garner data from deals agents, producers from the gear business, insurance agencies, by investigating the client data and securing it.

Data is distributed and scattered and needs to be segregated systematically through Business Analytics and standardize organizational structure. Many new businesses in India are using Big Data to pull out the essential and useful data. This has improved overall productivity and growth for the companies as well as their employees.

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kumuda ks

4 months ago

What is the qualification to learn DevOps?

To become a DevOps Engineer, you typically need a tertiary qualification in computer science or a related field, as well as industry experience. Complete a Bachelor of Computer Science or a related degree that focuses on software development.

DevOps is a software development and IT operations process that helps to improve the collaboration between developers and operators by automating the Deployment, configuration, monitoring, and management of applications.

The Roadmap to Becoming a DevOps 

 

1 — Start By Learning About The Culture

DevOps is a movement and a culture before being a job this is why cultural aspects are very important

 

2 — Learn A Programming Language

In my experience, a good DevOps engineer is someone who has skills in development and operations.

 

Python, Go, Nodejs .. you have a large choice ! You don’t necessarily need to learn the same main language that your company use but programming skills are really nice to have.

 

3 — Learn How To Manage Servers

One of the principal tasks that a DevOps professional do, is managing servers. Knowing how servers work is a must-know and to do this, some good knowledge about the hardware (CPU, architecture, memory ..) is needed. The other thing to learn is operating systems and especially Linux. You can start by choosing a distribution like Ubuntu.

you are really beginner with Linux, you can try it first in your laptop/desktop and start playing with in order to learn.

 

4 — Learn Networking & Security Basics

You may probably say that these are skills for network and security engineers. No ! Knowing how HTTP, DNS, FTP and other protocols work, securing your deployed software, anticipating security flaws in the code and configuring your infrastructure network are things that you should know.

 

5 — Learn Scripting

Even with the growing number of tools that could be an alternative to creating your own scripts, scripting is a must-know and you will need it for sure. In my experience, Bash is one of the most used scripting languages. Python is also a good scripting language that could be used to go fast while writing less code.

 

6 — Learn How to Install & Configure Middlewares

Apache and Nginx are the most used middleware in the DevOps industry and knowing how to install and configure things like virtual hosts, reverse proxies, domain names and SSL will help you a lot in your daily tasks

 

7 — Learn How To Deploy Software

Once you know how to deploy and configure Nginx, you need to know how to deploy applications to a production server.

 

Create a hello world applications using Python, Nodejs and PHP. Deploy these 3 applications. You can use Nginx as a reverse proxy for all of them.

 

8 — Learn GIT

GIT is one of the versioning systems being used in the IT industry. You don’t need to be a GIT expert but this is a technology that will follow you through all of your DevOps experiences.

 

9 — Learn How To Build Software

Building comes before running. Building software is generally about running a procedure of creating a software release that could run in a production server. A DevOps professional need to know about this important part of the software lifecycle.

 

10 — Learn How To Automate Your Software Factory

DevOps is not about automation, but automation is one of the pillars of the DevOps business transformation. Once you learned how to build software, you can use tools like Jenkins to automate builds and connect your code to the code repository.

 

11 — Learn Configuration Management

Once things become more complex and once you will need to manage multiple environments and configurations, learning a configuration management tool will make your life easier.

 

12 — Learn Infrastructure As Code

IaC is absolutely important to automate your infrastructure and provision your environments with simple scripts or alternative tools. DevOps is about reducing the time to market while keeping a good software quality and IaC will help you on this.

 

Choose a cloud provider (AWS, GCP ..etc) and you will find a lot of free online resources to start your infrastructure. You can also learn how to use “cloud managers” technologies, some CM tools like Salt stack could help you provision infrastructure on AWS or GCP, otherwise if you need more go for technologies like Terraform.

3 — Learn How To Monitor Software & Infrastructure

A software deployed in production and the infrastructure hosting it should be monitored. Monitoring and alerting are one of the important skills you need to know.

 

Zabbix, Icinga, Sensu, prometheus .. there are a lot of tools you can learn but start by comparing these tools and choose the one that fits your requirements. You can also consider learning how to deploy and use an ELK stack.

 

14 — Learn About Containers & Orchestration

Containers like Docker are becoming a must-know skill ! You need to have good skills creating, building, deploying and managing containers in development and production environments.

 

15 — Learn How To Deploy & Manage Serverless Applications

Serverless is one of the most buzzing technologies of 2017 and sooner it will become a requirement in many job descriptions.

 

16 — Learn & Share

Learning is a continuous process and sharing your knowledge could help you learn more !

 

17 — Submit Your CV To Jobboards & Test Yourself

One of the best ways to test if we have the required level to be accepted in a DevOps job is being interviewed and passing technical tests with recruiters and companies. If you fail an interview, try again and again and again, successful people failed on their way to Success.

 

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DevOps Course | DevOps Training | DevOps Tutorial For Beginners | Intellipaat

🔵 Intellipaat Cloud Computing & DevOps course:

this DevOps Course Video, you wi...

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DevOps Course | DevOps Training | DevOps Tutorial For Beginners | Intellipaat

🔵 Intellipaat Cloud Computing & DevOps course: https://intellipaat.com/cloud-computing-certification-program-iit-roorkee/In this DevOps Course Video, you wi...

https://www.youtube.com/watch?v=q-INRVtT3Rs

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DevOps COO &

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Complete Course

 

 

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kumuda ks

4 months ago

What are the latest cloud trends?

The three primary trends in cloud computing are the rise of platform-as-a-service (PaaS), vendors joining forces on multicloud solutions and an increasing focus on data governance and security.

Cloud computing trends demonstrate how this technology is changing the way businesses operate and how they allocate their IT budgets. Significantly, public cloud users (who share computing resources) no longer have to purchase and maintain hardware and other infrastructure or manage IT upgrades and software patches — that responsibility now falls on their cloud vendors. This leaves businesses and their IT teams able to focus on core business objectives like innovation, new product or service offerings and hiring new talent. It also helps to level the playing field for growing businesses that had been unable to afford the steep price tag of advanced technologies they can now access through a subscription.

Underscoring this shift, Gartner indicates that worldwide spending on public cloud services will total $397.5 billion in 2022, an increase of 47% since 2020, according to research firm Gartner. For its part, market intelligence group IDC forecasts total worldwide spending on cloud services will exceed $1 trillion in 2024. Additional trends revolve around new cloud delivery models, technologies, operating models, security and application development.

So learn Cloud Computing Course and get your dream job.

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