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Devops Training and Certification

By | Cloud Computing | No Comments


DevOps training is vital for all developers so they can obtain possession as well, and understand how their code impacts response time and server resources utilization. DevOps is the craftsmen in the software development, that links software development to the operations to bridge the gap between the agile software development and operations experiences. This DevOps training will assist you in gaining knowledge on how to convey, work together, and create automate key processes and systems. DevOps Training will assist you become an expert and deploy the DevOps principles and tools in any software enterprise.

Course Description:

DevOps training will guide you through a transformation which can help in focusing on value and efficient delivery. It will cover concepts like technology and automation which play huge roles in DevOps success. Apart from that, you’ll also analyze the major capability areas and which technologies can grow your team on its way. DevOps certification training will help you master all the skills needed to effectively build, monitor, operate, measure and improve the various processes in IT enterprises by better integrating development and operations. Profitable application of DevOps will help you gain remembrance by realizing the organization’s development and business goals.

Devops Training

Course Curriculum:

The DevOps practitioner course helps in gaining the insight of:

  • The value, history, and building blocks of DevOps
  • Hands-on with the infrastructure components
  • Tool building with GIT and Jenkins
  • Containerization using Docker
  • Concepts and practices — Relating it to Agile, and Lean
  • Docker command and used cases
  • Managing source code
  • Test automation and test-driven development
  • Continuous monitoring using Nagios
  • Continuous integration and deployment
  • Configuration management with Puppet and Chef
  • Automating Backups
  • Data storage practices
  • Linking with the real-life projects and applications

Learnings you will gain in this DevOps online training course

DevOps online certification course will help you with:

  • Understanding the essential for DevOps and the problems it resolves
  • Better workflow
  • Better communication and feedback loops
  • Relating DevOps in an enterprise environment
  • Important success factors and key performance indicators
  • Real-life results and examples
  • Implement Automated Deployments and Installations
  • Know Presentation and basic Security Infrastructure
  • Implement Virtualization Ideas
  • Understand the need and concepts of Logging and Monitoring
  • Deploying key DevOps tools like Puppet, Nagios, Chef, Ansible
  • Monitoring DevOps performance metrics & success factors

Who should take this DevOps training course?

This online training module is the foundation course for those who are looking to be a DevOps Engineer or a Service Engineer. Numerous organizations, technology companies, e-commerce sites and even social media platforms are using the capabilities of DevOps. The DevOps training and certification is beneficial for:

  • Individuals and organizations looking for a basic knowledge of DevOp.
  • Employees, executives, shareholders, and suppliers who are leading or contributing to an organization’s DevOps initiatives
  • For consultants, guiding through DevOps process and programs
  • Software Developers
  • Internal and external suppliers
  • Business stakeholders
  • IT managers
  • Application and infrastructure providers whose products are part of the DevOps toolchain

Why should you take this DevOps certification training course?

Development and operations, both departments need to work simultaneously on the successful project completion. It’s about joint responsibility between traditionally separate functions within any IT firm: We have Developers (who are under pressure to deliver change) and Operations (who are responsible for stability). However, DevOps brings the organizational cultural shift, it enables the developer to understand infrastructural consequences of coding choices and it’s important that an Ops guy knows how the application work.

  • Our DevOps certification training course, enable you to master all the skills necessary to successfully build, operate, monitor, measure and improve the various processes in IT enterprises through better integration of development and operations.
  • The popularity of DevOps has improved significantly since its inception and there is a enormous demand for DevOps certified professionals in the industry. When you invest time in gaining knowledge of some of the tools commonly associated with DevOps, you will surely be gaining innovative job opportunities in top MNCs.
  • As per study in various assessments, DevOps certified professionals are among the highest paid in the IT industry. By receiving a DevOps certification, you can offer your organization loads of quantifiable benefits.
  • DevOps ideology promotes increased collaboration and communication between the operation and development teams.

If you are interested in this field, it is time you get started.


Let’s Talk Data – Big Data Vs. Data Science Vs. Data Analytics

By | Big Data | No Comments

Some say that we live in a world that is driven by data. Digital data is the next big thing. Actually, it is currently the biggest thing in information. The digital universe is expanding at a very rapid pace and it is expected to reach around 180 zettabytes by 2025. And that is a lot. A LOT.

Owing to said rapid expansion, more and more jobs are coming up in this domain. So for those of you with just a basic understanding, here’s an article that would explain the three main fields when it comes to data – Data science, data analytics & big data.

Let’s take a look at each of them.

Big Data 101

Technically, big data refers to any data set that is too large for conventional data software to manage or deal with. While the term had been loosely used since nineties, it’s current definition is pretty much relevant only to the volume, velocity and variety. Collectively they are called the 3Vs that make up big data.

Today, big data can be defined as any holistic information management system that covers and integrates new types of data and its management.

Big data applications require cost-effective, and competitive ways of information processing. This calls for highly skilled professionals who are competent in the field of RDBMS and similar lines of work.

Big data analytics and architects are hot jobs in today’s job market. To be a skilled big data analyst, a very unique skill set is vital.

Data Science 101

In layman terms, data science is the use of methods to analyse huge amounts of data with the intention of extracting useful information from it. A data scientist as the name suggests is a person who does the job of analysing and extracting said information.

Most of the extraction happens using automated methods and thanks to our rapidly developing technology, many such methods have come to be in use. Domains such as human genomics, high-energy physics make use of data science to advance. Data science is expected to transform anything from media to healthcare.

Owing to its massive scope, the position of data scientist is fast becoming popular. To draw insight from a large set of data, it takes a certain level of understanding & in depth knowledge of automated methods to be a good data scientist.

Data Analytics 101

DA, as it is simply called, is the use of techniques on data that are both quantitative and qualitative to improve gain and efficiency of a business. It typically involves extraction and organizing data to identify behavior, patterns or other relevant information from a big chunk of data.

Data analytics is typically used to B-2-C applications. In most cases data is stored to be later analyzed and studied to mine out purchasing trends and the likes later. So to summarize, data analytics is extracting meaningful information from raw, unprocessed chunks of data using specialised methods and computer systems.

Differences Between The Three

While all three involve manipulating large chunks of data, Big Data Vs. Data Science Vs. Data Analytics, the primary differences lie in the skills required and individual methods required. Here’s a summary of the different requirements in each of the three.

Big Data Data Science Data Analytics
Skills required –

  • And understanding of business objectives.
  • Good mathematical and statistical skill.
  • Analytical skills that help you make sense of large, unorganized data sets.
Skills required –

  • Data scientists should have the ability to work with unstructured data.
  • In depth knowledge of SQL & Hadoop to run complex queries.
  • Proficiency in common data science coding languages such as Perl, C/C++, Java.
  • Skills required –
  • Machine learning, data visualization & data wrangling skills.
  • In depth knowledge of programming languages such as R & Python.
  • Knowledge in descriptive & inferential statistics.

Got The Skills?

Like we mentioned before, the domain concerning digital data one of the fastest growing domains currently. Job opportunities are ample in this field and if you have the right set of skills, you can earn a handsome pay working for companies dealing with digital data.

If you are interested in this field, it’s time you get started!!

Top 10 Interview Questions To Ask While Hiring A Project Manager

By | Interview Question | No Comments

Project Mangers Interview Questions and Answers

For any company, hiring people that are skilled and professional is vital to the company’s success. As far as hirings are concerned, the role of a Project Manager is one of the most well thought out one. That is because that is the one person who will be the overall in-charge of planning and execution of the entire project.  Hire a bad project manager and that project could as well be doomed.

Senior management & HR professionals understand that hiring a good candidate is critical, yet most of them get caught up in the busy schedules of our work life and end up making a bad decision when it comes to hiring.  Such mistakes could be costly.

So if you are on the lookout for a great Project Manager for your company, here is how you can conduct an effective interview to pick the right one.

Begin The Right Way

The first step in hiring a Project Manager begins with sending out advertisements for the opening. This step is more crucial than you think. If you don’t draft a solid job description, countless MBA graduates will apply and you’ll be left with the task of filtering through them.

Here’s what you need to keep in mind while drafting the JD for a Project Manager –

Avoid generic descriptions. Be very critical about your requirements and mention them explicitly.

Good communication is vital. If need be, write down that anyone who isn’t confident about their communication shouldn’t bother applying.

Experience is an important parameter when it comes to hiring. However, it is irrelevant if the experience was in a domain that is not related to the one your company operates in. Look for relevant experience in a similar background.

How To Conduct A Good PMP Interview

Remember, a great project manager is someone who can complete the given task on time and on the right budget. The person should also be capable of staying calm and getting the team to be productive. Keeping all of this in mind, here are 10 project manager interview questions and answer that you should ask any candidate who applied for the position of a project manager.

1. Preliminary screening question set
This isn’t just one question, this is a set of 4-5 questions that you can ask the candidate in the first encounter. It could be via phone as well. All the basics like “where do you see yourself in few years”, “how much of a deadline pusher are you?” etc. These questions will not only help you understand the candidate better, it will also help you find out if the candidate is good at communication. This is a solid way to analyze verbal skills while also forming a basic impression about the person.

2. Tell me about your career path. How did you venture into project management roles?
Expected answer: A brief yet descriptive answer that would summarize his or her industrial experience while revealing why the person holds an interest in this field.

3. Describe your most challenging project. Stress on some vital decisions you had to take.
Expected answer: An honest narrative of what the candidate recognizes as a big challenge. The answer should ideally cover his role in the project in detail.

4. What is your experience in the industry you are applying to?
Expected answer: An honest answer is what we are looking for. The pace at which a person learns is often more valuable than actual domain knowledge in some cases.

5. What metrics do you use to measure the progress of the project you are monitoring?
Expected answer: Attendance, quality, actual cost, the return of investment etc are some of the parameters that should be in the candidate’s answer.

6. How do you typically handle with clients or employees who are low motivated?
What to look for: The candidate should himself be pretty motivated himself. Someone who is low on energy and enthusiasm could easily bring down team morale. Look for someone who is generous about praising a work well done.

7. How do you hold up when there’s a difficult task or a failure?
What to look for: Watch out for blame games. If the candidate tends to blame all of it on one particular employee or reason, it is a bad sign. Look for a team player who hails his team for the work they did and was sad that despite their best efforts, the project was moved to yellow or red status.

8. What do you think is the most important skill required by a PM?
Expected answer: Communication, team management, risk management & negotiation are words to look for.

9. Tell us about some interesting projects you managed and what methods you employed for it.
Expected answer: A brief description of what the candidate perceives as his most interesting project. Would be great if the candidate is aware of styles of management such as agile, waterfall or self-organizing teams etc.

10. Is there someone you look up to as a mentor? What skills did you learn from him?
Expected answer: An honest is what we need. If the person doesn’t have a mentor, it is fine. However if does have a mentor, pay attention to the skills he claims to have picked up.

All The Best!

A good PMP interview must be conversational. Do not tick off questions and reply with “Ok cool”. Listen to the candidate and what he has to say. Remember a bad hire will cost you time, money and a lot of other resources.

It is strongly recommended that you do a bit of research on the person on the Internet. You would be surprised to find how much information is available on the net about people today.

Alright, then. Good luck! We hope you hire the best Project Manager ever!

Hope these Project Manager interview question and answers are helpfull