Mastering Docker

What is Docker?

Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker’s methodologies for shipping, testing, and deploying code, you can significantly reduce the delay between writing code and running it in production.

When going through this Docker tutorial, we need to first understand about Docker. Docker is an OS virtualized software platform that allows IT organizations to easily create, deploy, and run applications in Docker containers, which have all the dependencies within them. The container itself is really just a very lightweight package that has all the instructions and dependencies—such as frameworks, libraries, and bins—within it.

The container itself can be moved from the environment to the environment very easily. In a DevOps life cycle, the area where Docker really shines is deployment, because when you deploy your solution, you want to be able to guarantee that the code that has been tested will actually work in the production environment. In addition to that, when you’re building and testing the code, having a container running the solution at those stages is also beneficial because you can validate your work in the same environment used for production. 

You can use Docker in multiple stages of your DevOps cycle, but it is especially valuable in the deployment stage. Next up in this Docker tutorial is the advantages of Docker.

Now as you know what is Docker, you must know the difference between Docker and virtual machines. So, let’s begin.

you’ll notice some major differences, including:

The virtual environment has a hypervisor layer, whereas Docker has a Docker engine layer. There are additional layers of libraries within the virtual machine, each of which compounds and creates very significant differences between a Docker environment and a virtual machine environment.
With a virtual machine, the memory usage is very high, whereas, in a Docker environment, memory usage is very low. 
In terms of performance, when you start building out a virtual machine, particularly when you have more than one virtual machine on a server, the performance becomes poorer. With Docker, the performance is always high because of the single Docker engine. 
In terms of portability, virtual machines just are not ideal. They’re still dependent on the host operating system, and a lot of problems can happen when you use virtual machines for portability. In contrast, Docker was designed for portability. You can actually build solutions in a Docker container, and the solution is guaranteed to work as you have built it no matter where it’s hosted. 
The boot-up time for a virtual machine is fairly slow in comparison to the boot-up time for a Docker environment, in which boot-up is almost instantaneous. 
One of the other challenges of using a virtual machine is that if you have unused memory within the environment, you cannot reallocate it. If you set up an environment that has 9 gigabytes of memory, and 6 of those gigabytes are free, you cannot do anything with that unused memory. With Docker, if you have free memory, you can reallocate and reuse it across other containers used within the Docker environment.
Running multiples of them in a single environment can lead to instability and performance issues. Docker, on the other hand, is designed to run multiple containers in the same environment—it actually gets better with more containers run in that hosted single Docker engine. 
Virtual machines have portability issues; the software can work on one machine, but if you move that virtual machine to another machine, suddenly some of the software won’t work, because some dependencies will not be inherited correctly. Docker is designed to be able to run across multiple environments and to be deployed easily across systems. 
The boot-up time for a virtual machine is about a few minutes, in contrast to the milliseconds it takes for a Docker environment to boot up.

mastering powershell

There might be a variety of reasons and individual motivations but here goes my take on the same:


  1. GUI may look appealing but costs resources: Doing things over GUI is what made computers popular over years but those fancy things always come with cost when scaled. You need to start and stop services on a couple of computers, you do it either by RDP or remote mmc but that would load all the services, their names, their descriptions and status and what not. None of which you needed for your work to be done. You want to update the department of a user, we want to reset the password of the user or extend account expiry, but going by GUI, you would get the data related to what domain you have, what OU structure you, how many other users you and a lot of information about the target user which you didn’t look for. All these are taking resources which could have been better used somewhere. Just imagine, creating 1000 users via GUI or creating 5000 DHCP scopes on 100 DHCP servers, tell me how much time it would take for you? Guess how much time it would take if automated/ scripted.
  2. Automation is not optional: No matter what work you are doing, which company you are in or what career you have, without exception, a major percentage of our work remains repetitive. More so for operations guys or those in implementations or PoCs as well. In many cases, the same can be as high as 90% of our daily work. That would mean that we are spending time doing things which we very well know how to do, already did couple of times. It makes our work not only boring but way less inefficient as we don’t get time to learn new things in a world changing at a fast pace. It may take some time, to automate something by any means possible, some more time to test it and make it further robust or may be even more time to incrementally update the same, but when you consider that time investment in terms of repetition, then it gives way more returns. Something which might take you five mins every day, might be done within a second with Automation, which may be a couple of hours to set up or even a day for the first time but it would give back your time within weeks.
  3. Documentation is mandatory: Something went wrong some day at work because in place of clicking somewhere, someone clicked at wrong place. In place of launching one application, something else got launched. You were asked to do certain things but instructions were lost in verbal transaction and were misunderstood in between. These are some common issues which arise when proper documentation is not in place.Why documentation doesn’t happen? These steps are so obvious, what to write about this? On top of doing the work on a tight schedule, I need to write before and after the same and noting down the things while doing it is a pain. Nothing new in this, then what to document?These are not excuses but genuine reasons most of time, but still documenting what you did, what happened, what changed, these are important things for achieving a perfect service and it would not happen when things don’t work like clockwork. We can keep on forcing people to do the same and failing over time, it’s easier to invest in automation since the same can not only do the work but can automate the documentation along the way without much overhead. It’s always easier to trace back the steps when something happened via a written code than when it’s done by human. It’s always possible to review the code many times before putting in productions, rather than ensuring that the plan executed by humans goes right each time despite varying circumstances and pressure.
  4. Time is money, not just for your company but for you too: Work is often measured in terms of hours spent in IT but for business, it’s always about the value delivered. You might be getting paid for something today but next year you are expected to do the same thing and even faster on the basis of your experience and next, even more efficient. Trust me, it’s not easy to sustain for many as it’s hard to get time for yourself and to learn new things while doing what you are supposed to do even faster and even more in quantity. You need something drastic; you need to ensure that you are not wasting time. Even for innovating or getting new ideas, you need to have some spare time, for progressing levels in company, you need spare time for networking and learning other skills. From where that time would come? Automation is one of the solutions and people working in Microsoft world, PowerShell is closest you got.
  5. Microsoft Common Engineering Criteria: Microsoft has something called CEC, common engineering criterion means any product Microsoft makes, need to pass that test, it may be about security, certain look and feel or integration with something or interfaces or anything. PowerShell has been part of that since 2009. What that means? This means no Microsoft product or feature would be made unless it is fully supported via PowerShell. There should not be any operation or activity in the particular product, which cannot be done in PowerShell. This may even mean that there might be things which are POWERSHELL ONLY, like enabling Active Directory Recycle Bin. Not only just it’s easier to do in PowerShell but you just can’t do it in any other way possible. So not learning PowerShell is NOT an option if you really want to stay in career with Microsoft technologies.
  6. Offers in-built detailed help system: The biggest obstacle about learning any new thing is where to start, where to get learning resources, where to get help/ examples. PowerShell help system and its easy syntax is one of the biggest strengths of the same. You don’t really need to go to any website to know about all commands in a module, you don’t need to read any book about what a specific command in PowerShell actually does. Once you get hand of PowerShell help system and how to make use of it, not just the things which are shipped with PowerShell, anything else which you added over time, would follow the same suit and you can get all the help you need on the PowerShell prompt itself. Once you know the basic syntax system in PowerShell, if you really want to learn, then you don’t even need any mentor for the same.Even then if you still need help, then PowerShell has such large community for a product on shelf since last less than a decade that you would never find yourself alone and even the future is not expected to be any different considering the fact that 70% or more of latest PowerShell code coming from community than Microsoft itself.
  7. Intuitive and extensible: For command prompt or any programming language, the major issue has been learning syntax while PowerShell doesn’t hide behind obscure command names etc but follows a consistent Verb-Noun syntax across board. All commands including custom functions created by you would have similar basic support on help commands by default. Even if you download and install a new module, all the commands would have the commands in the same familiar pattern and would behave in same familiar way like Get-*** would always give you some data back without changing anything, new-* add-* would always create something new. While even typing on the PowerShell code, IntelliSense and tab complete would be at your service telling you if you are doing right or going wrong at any step, which makes life so easy. Not just that whatever you want to do there would be a module to do just that, and you wouldn’t be needed to start from scratch. Don’t want that? Most of the time, you can go through the actual code of the modules and create your own code around that. PowerShell is not a Windows only thing anymore, but it supports all platforms. Not just Windows, you can run commands on Linux, not just Azure and Exchange, you can manage GCP and AWS with PowerShell once you have related modules in.

Mastering Jenkins

What is Jenkins?

Jenkins is an open-source server that automates the time-consuming tasks of building, testing, and deploying software. By helping developers streamline these traditionally tedious processes, Jenkins accelerates the development process, helps reduce error rates, and frees up developers’ time so they can focus on more high-level tasks. 

Jenkins automations support continuous integration (CI) and continuous delivery (CD) processes in DevOps projects. DevOps is an approach to software development that improves communication and collaboration between developers and IT operations. It uses Agile principles and automation to break the silos between the two teams and increase the speed and quality of their work. Here’s a breakdown of what CI and CD involve:

  • Continuous integration promotes incremental software improvements by allowing developers to integrate changes as often as possible. Automation tools like Jenkins facilitate this process by testing and validating each change before it’s integrated into the main branch.

  • Continuous delivery goes a step beyond continuous integration. In addition to automating building and testing, it also automates the deployment process. The approval for deployment can be done manually or automated. When this final decision is automated, the process is known as continuous deployment.

DevOps teams adapt Jenkins to their projects by building custom pipelines. A pipeline is a set of automations that allow developers to build, test, and deploy code. Jenkins pipelines are made of different plugins that developers can combine to build automated workflows that suit each project’s needs.

Once developers build a pipeline, Jenkins will continuously track, build, and test any changes made to a project and alert developers of any errors. If the changes don’t contain any errors, Jenkins moves them to a staging environment where they remain ready for deployment. In cases where the pipeline is set up for both CI and CD, Jenkins will move changes all the way to the production environment. 

Jenkins’s flexibility, stability, and high level of community support have made it one of the leading CI/CD tools. Because of this, Jenkins is a must-have in any back-end or DevOps developer’s tech stack. 

Mastering Puppet


What is Puppet?

Puppet is a DevOps tool for managing multiple servers. This software configuration management tool is most commonly used on Linux and Microsoft Windows, but you can use Puppet on other platforms too, including IBM mainframes, Cisco switches and Mac OS servers. Puppet is open-source, written in C++, Clojure and Ruby and includes its own declarative language to describe system configuration. 

Puppet is a DevOps tool that will save you time and boost your reliability. The DevOps way of doing things may be different from what you’re used to, but it’s proving to be groundbreaking for business. The time you invest in learning Puppet will be returned faster than you’d imagine. You don’t even need to be an absolute expert to begin reaping huge benefits from using Puppet in your server room.

Once you understand how Puppet works, and how simple it is to implement into your environment, you’ll wonder why you haven’t done it before

Whether enforcing the configuration of your infrastructure, hardening its security, or delivering it to hybrid and multi-cloud environments, Puppet’s platform lets you do it all at scale.

Reason 1 – Puppet will boost your productivity and profitability.

It’s no secret that IT performance has a clear impact on business performance. DevOps and Puppet will help your company to get more done in less time, boosting productivity as well as profits. 

Puppet lets you automate the enforcement, security and delivery of infrastructure from one platform, at scale. Using Puppet will allow you to remove manual work and enforce consistency and changes across your data centre and cloud service providers. And you can start automating easily with even basic Puppet knowledge.

Reason 2 – Puppet is cross platform and easy to test. 

Whether you’re using Microsoft Windows, Linux or Mac OS, Puppet can be tested and used on multiple systems. Puppet also allows resource abstraction so you won’t need to rewrite anything in order to test it in different environments.

Puppet allows you to automatically provision cloud infrastructure, microservices and containers. It gives you streamlined code delivery for hybrid and multi-cloud environments, so every scenario will be covered. Puppet also includes an intuitive dashboard so you will know how your infrastructure release will affect your environment and teammates in advance.

Reason 3 – Puppet is simple to learn and implement. 

Puppet’s language is considered by many to be easy to learn when compared to Chef, which relies on existing Ruby knowledge.

With the right training, you can be implementing Puppet in a matter of days.

Reason 4 – Puppet is open source and customisable.

Puppet is available for free as an open source tool, but also has an Enterprise version. Because Puppet is open source it can be modified and customized, and you can tweak and improve it directly through modifying the source code. 

You can find a vast amount of resources in the PuppetForge module repository and download whatever you need from the 3,500+ module library. This huge collection of modules can be used to extend Puppet across your infrastructure by automating tasks such as setting up a database, web server, or mail server, among others. 

Puppet offers you a simplified and standard way to deliver infrastructure code with full control and visibility. Plus, it’s integrated with the most popular source control systems, cloud platforms and ChatOps tools so you don’t have to do custom integration work.

Reason 5 – Puppet makes security and compliance easy.

Puppet makes security and compliance inherent and automatic. With Puppet, you get the automation needed to continually enforce policies and the traceability required to prove compliance.

For the developer, Puppet enables hardware and software to be “scripted” so there’s no need to learn the inner workings of an operating system.

Mastering Ansible

What is Ansible?

The Ansible we use in our day to day use, came from an Open Source company founded in 2013.

Red Hat acquired the company two years later, in 2015. Before that Ansible had partnered up with HP, RackSpace, CSC, Cisco and the open source community to help make deploying and managing OpenStack clouds easier. When Red Hat acquired Ansible the press release stated that by adding Ansible to the portfolio Red Hat would be able to help customers to

  • Deploy and manage applications across private and public clouds
  • Speed service delivery through DevOps initiatives
  • Streamline OpenStack installations and upgrades
  • Accelerate container adoption by simplifying orchestration and configuration

Why did Ansible become so popular so fast?

The reason for its success is not only that Ansible got acquired by a big open source company like Red Hat, although that definitely helped. It gave Ansible a VIP ticket to Enterprise IT. 

Ansible is known for removing the barrier with the technicalities of deploying code. You can describe almost everything in “English”. It doesn’t require any special coding skills, making therefore automation accessible for everyone. If you want to implement Puppet, you need to have a deeper understanding of how the product works. Ansible doesn’t require an agent, it communicates with the nodes it controls i.e. by SSH or WinRM.

Specific tasks are encapsulated by modules that define the state of a resource on the node. These modules are used to alter the state of the system and remotely executed on the node. Unlike Puppet and Chef, which are using agents running locally and execute changes on the node.

The Ansible module then reports back the result of that module to the local instance. All the execution logs are available at the node running Ansible and do not have to be collected otherwise.

In the early days of Ansible, many of our customers used a combination of Ansible and Chef/Puppet. Nowadays, more and more are moving away from their Puppet code.

Because of the agent-less approach, it’s easy to not only controlling servers, but also network infrastructure using Ansible. Most DevOps Engineers are familiar with Python and that makes it easier to use Ansible than Puppet and Chef which are written in Ruby.

Hello, automation!

Say hello to the world of automation with automating your DevOps tasks, your deployments, your health checks, your entire continuous integration process. It’s extremely easy to use, convert your old bash scripts, and find joy in Ansible playbooks instead.

Devops fundamental

What is DevOps?

DevOps-based operations are one of the crucial job operations in today’s IT industry. If anybody wants to start their career in the IT industry and have knowledge about DevOps operations, it will be an excellent boost for their career growth. Maybe that person is a developer, system admin, or security specialist, but DevOps will provide a good shape and enhanced part of the career. DevOps is one of the most required skills due to the shortage of proficient people in the industry. Most companies are trying to move forward with cloud-based services, and for this type of operation, they need proper knowledgeable persons to track the process. As per the IT experts, DevOps Developer will be a crucial job requirement for all companies in the coming days, big or small. That’s why most companies make DevOps a key business priority and try to implement it for their environment.

DevOps Developer – A New Job Role

So, before analyzing the entire concept, we first need to understand the basic idea of DevOps. DevOps is a combination of processes linked with software development and related IT operations. DevOps mainly shorten the entire software development life cycle (SDLC) process and can execute continuously high software quality. It is currently treated as an upcoming segment in the future concept. Most companies are trying to create their software following the DevOps process.

Google Cloud Fundamentals

What is Google Cloud Platform?

Google Cloud Platform is a fully managed cloud computing service offered by Google. It was launched back in 2008. It offers a wide range of services for compute, storage and application development. Anyone can access Google Cloud Services from a software developer, cloud administrators, and other enterprises IT professionals over the public internet or a private dedicated network.


Top 10 Reasons to Learn GCP

1. Easy to Use


One of the major reasons why Google Cloud Platform is spreading its wing is its simple and easy-to-use interface. We are already familiar with many daily usable services from Google, such as Gmail, Youtube, Google Search, etc. They are all straightforward to use. In the same way, you can access the entire Google Cloud Platform by just creating a Google account on Google gives $300 credit for the period of 90 Days to all the new users to consume Google Cloud Services.

2. Flexibility and Scalability


Google provides a great feature to scale services up and down as per the requirement automatically. The Custom Machine feature of GCP helps users create customized machines with scalability options, and users consume only required resources for their operations. This reduces the cost and increases efficiency. Hence, it is recommended to learn GCP to solve complex IT tasks.

3. Specialized Services

Google Cloud Platform offers a wide range of high-performing services such as Compute, Storage, Databases, IoT, Management Tools, Security, etc. These services are perfectly designed by taking care of the individual user’s and enterprise’s needs as per their business.


4. Global Architecture

GCP is one of the global leaders in providing cloud services. It is especially known for its plethora of services and all-time availability. It has 27 regions, 82 zones, 146 network edge locations, and more than 200 countries and territories.


5. Consistency and Reliability


GCP is the most consistent and reliable cloud computing platform that provides on-demand services. Customers can easily build and manage websites using it. Reliability is the unique selling point of GCP. It is achieved through multiple backups of servers at different locations.

6. Serverless Technology


Serverless architecture is a blessing for developers. Google Cloud Platform sends constant updates, upgrades and adds new features to the services provided to the users. Hence, rather than maintaining the infrastructure and other software, developers can directly focus on the development part of the application. Serverless Computing helps large enterprises to build magnificent products as they do not need to concern about maintaining servers and databases on their own.

7. Best Pricing


Pricing is another domain where Google Cloud is way ahead of its competitors. You can set up your account without paying any penny. Google Cloud provides lots of free credits to explore its services and learn GCP. If you use those services for a longer run, you can also avail of discounts from Google.

It also provides an amazing feature called a pricing calculator. You can calculate the price of the services you will use to keep track of your expenses.

8. Cloud Security


All data in the Google Cloud Platform is encrypted. So users are fully assured that their data is fully safe and secure. It also offers Identity and Security services such as cloud data prevention API. It helps users manage sensitive data by providing a fast and scalable classification of data elements such as passport number, credit card type, etc.

The identity and Access Management feature ensures that only authorized users are signing in and using services.

9. Certifications

Google provides many certifications for all those aspirants who want to make their future in the cloud domain and learn GCP. GCP Certifications are divided into three-level.

  • Foundational Level
  • Associate Level
  • Professional Level

10. Google Itself

Although we discussed so many points to learn GCP, you can Google yourself about all the facts discussed above. Google has an extensive database that handles youtube, Gmail, google searches, and many other things. But you never heard any news in the past years regarding downtime in google services. Hence, it is a reliable, consistent, highly available, secure, and cost-effective solution.

Services Offered by GCP

GCP provides a wide range of services for various domains listed below:

  1. Compute Engine – Compute Engine is a virtual machine that runs on Google’s infrastructure. It offers highly scalable computing power that can be customized to meet the needs of any workload. It’s ideal for businesses that need to run large-scale, resource-intensive applications or workloads.
  2. Kubernetes Engine – Kubernetes Engine is a managed service that simplifies the deployment and management of containerized applications. It automates the process of scaling, upgrading, and monitoring containers, making it easy for businesses to deploy and manage their applications.
  3. Cloud Storage – Cloud Storage is a highly scalable and durable object storage service. It allows businesses to store and retrieve data in the cloud, making it easy to access from anywhere. It’s ideal for businesses that need to store large amounts of unstructured data, such as images, videos, and backups.
  4. BigQuery – BigQuery is a fully-managed, serverless data warehouse that enables businesses to analyze large datasets quickly and easily. It’s designed for businesses that need to perform complex queries on massive datasets, such as those generated by e-commerce or online advertising.
  5. Cloud AI Platform – Cloud AI Platform is a suite of tools that helps businesses build, train, and deploy machine learning models. It includes pre-built models, APIs, and tools for custom model training and deployment. It’s ideal for businesses that want to leverage machine learning to gain insights from their data.
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