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Through HKR Trainings You will acquire the necessary skill set through this DevOps certification training in order to become a DevOps Engineer. Using DevOps tools like Git, SVN, Docker, Docker Swarm, Kubernetes, Puppet, Ansible, Selenium, Maven, Nagios, Chef, etc., this DevOps online course will help you become expert in DevOps skills like Continuous Integration, Delivery and Deployment, Infrastructure as a Code, and more.

About HKR Trainings:

HKR Trainings excel at providing you with the best online classes with high-quality facilities at a low price without any compromise on quality. What can you expect from us? A dedicated learning platform with 24*7 support, best in class training materials to help you learn advanced techniques and practical knowledge of all IT Technologies. Our courses are specifically curated for both professionals as well as job-seekers. Online classes conducted by the best knowledgeable and certified trainers helps you earn certification at your convenience.

Key Features:

30 Hrs Instructor-Led Training Lifetime LMS & Faculty Acces Learn On Your Own Timeline Real-World & Project-Based Learning 24/7 Online Expert Support Customized Course Creation

Contact Details:

DevOps Tutorial

The DevOps is the combination of two words, one is Development and other is Operations. It is a culture to promote the development and operation process collectively.

The DevOps tutorial will help you to learn DevOps basics and provide depth knowledge of various DevOps tools such as Git, Ansible, Docker, Puppet, Jenkins, Chef, Nagios, and Kubernetes.

What is DevOps?

DevOps is a combination of two words, one is Software Development, and the second is Operations. This allows a single team to handle the entire application lifecycle, from development to testing, deployment, and operations. DevOps helps you to reduce the disconnection between software developers, quality assurance (QA) engineers, and system administrators.

Why DevOps?

Before going further, we need to understand why we need DevOps over the other methods.

The operation and development team worked in complete isolation.

After the design-build, the testing and deployment are performed respectively. That's why they consumed more time than actual build cycles.

Without the use of DevOps, the team members are spending a large amount of time on designing, testing, and deploying instead of building the project.

Manual code deployment leads to human errors in production.

Coding and operation teams have their separate timelines and are not in synch, causing further delays.

DevOps History

In 2009, the first conference named DevOpsdays was held in Ghent Belgium. Belgian consultant and Patrick Debois founded the conference.

In 2012, the state of DevOps report was launched and conceived by Alanna Brown at Puppet.

In 2014, the annual State of DevOps report was published by Nicole Forsgren, Jez Humble, Gene Kim, and others. They found DevOps adoption was accelerating in 2014 also.

In 2015, Nicole Forsgren, Gene Kim, and Jez Humble founded DORA (DevOps Research and Assignment).

In 2017, Nicole Forsgren, Gene Kim, and Jez Humble published "Accelerate: Building and Scaling High Performing Technology Organizations".

What is DevOps

The word DevOps is a combination of the development and operations of the term, meant to represent a collaborative or shared approach to the tasks performed by a company's application development and IT operations teams.

Why is DevOps Needed? Before DevOps, the development and operation team worked in complete isolation. Testing and Deployment were isolated activities done after design-build. Hence they consumed what is DevOpsore time than actual build cycles. Without using DevOps, team members spend a large amount of their time testing, deploying, and designing instead of building the project. Manual code deployment leads to human errors in production. Coding & operation teams have separate timelines and are not synch, causing further delays.

What’s Jira?

Talking about Jira, we need to separate several products of the Jira line – Jira Software, Jira Service Desk, Jira Core, and Jira Align. 

All of them cover some essential practices of ITSM and ITIL and help with project, task, incident, and resource management in different business spheres, trusted by many agile teams. 

Jira products make it easy to increase the productivity level and transparency in the project and respect collaboration in the team. 

What’s Confluence?

Confluence main dashboard

This Atlassian solution is best for a well-structured Knowledge Base. Confluence helps to store, share, and collaborate on the collective knowledge of your teams. It’s a wiki platform that keeps all precious information in one secure place, making a single source of truth for your company. 

Confluence encourages a collaboration mindset, making it easy to collectively edit, leave feedback, mention colleagues, and discuss decisions online.

JIRA Version History :

Cloud Jira Cloud 2022-02-16 Minor version update

7.6.1 Jira Data Center8.12.0 - 9.3.1 2022-10-26 Minor version

7.6.1 Jira Server 8.12.0 - 9.3.1 2022-10-26 Minor version

7.6.0 Jira Data Center 8.12.0 - 9.3.1 2022-06-14 New version containing Documents REST API enhancements

7.6.0 Jira Server 8.12.0 - 9.3.1 2022-06-21 New version containing features and improvements

7.5.1 Jira Data Center 8.12.0 - 8.22.6 2022-03-22 Third-party libraries upgrade

7.5.0 Jira Data Center 7.2.0 - 8.22.6 2022-03-22 New version containing feature enhancements

7.5.0 Jira Server 7.2.0 - 8.22.6 2022-03-22 New version containing feature enhancements

7.4.7 Jira Data Center 7.1.0 - 8.22.6 2021-07-13 Minor version

7.4.7 Jira Server 7.1.0 - 8.22.6 2021-07-13 Minor version containing fixes and

7.4.6 Jira Data Center 7.1.0 - 8.18.2 2021-04-10 Minor version containing fixes and improvements

What is ETL?

It is a data warehousing concept of data extraction where the data is extracted from numerous different databases

Who Invented ETL?

Ab Initio- a multinational software company based out of Lexington, Massachusetts, United States framed a GUI Based parallel processing software called ETL. The other historic transformations relating to the ETL journey are briefed here.

Where do Informatica-ETL concepts apply in Real-Time Business?

Informatica is a company that offers data integration products for ETL, data masking, data Quality, data replica, data virtualization, master data management, etc. Informatica ETL is the most commonly used Data integration tool used for connecting & fetching data from different data sources.

Some of the typical use cases for approaching this software are:

An organization migrating from an existing software system to a new database system.  2. To set up a Data Warehouse in an organization where the data is moved from the Production/ data gathering system to Warehouse. 3. It serves as a data cleansing tool where data is detected, corrected, or removed from corrupt or inaccurate records from a database.

How do Informatica — ETL tool is implemented?

1. Extract:

The data is extracted from different sources of data. Common data-source formats include relational databases, XML and flat files, Information Management System (IMS) or other data structures. An instant data validation is performed to confirm whether the data pulled from the sources have the correct values in a given domain.

2. Transform:

A set of rules or logical functions like cleaning of data are applied to the extracted data in order to prepare it for loading into a target data source. Cleaning of data implies passing only the “proper” data into the target source. There are many transformation types that can be applied to data as per the business need. Some of them can be column or row-based, coded and calculated values, key-based, joining different data sources, etc.

3. Load:

The data is simply loaded into the target data source.

Jira vs. Bugzilla

Jira and Bugzilla are widely used bug tracking tools by large organizations. Nowadays both the tools are in huge demand these days, but both the tools differ in performances. Let’s first look at the key points of both the tools, and then we will look at the differences between both the tools.

Jira

Jira is a bug tracking tool developed by an Australian company Atlassian in 2002. It is used for project management, issue tracking, and bug tracking. Jira is not an open-source tool, i.e., Jira software is not available at free of cost; it’s a paid service.

Advantages of Jira software

Jira tool is useful for functional testing.

It is used to prioritize the tasks.

One can easily get to know about the next release of the build as Jira tool provides better visibility.

It provides a better flexibility workflow so that the team can adjust accordingly.

Bugzilla

Bugzilla is also a bug tracking tool developed by the Mozilla Foundation in 1998. It is a quite popular reporting tool which is having a simple user interface. Due to its simple interface, beginners take no time to understand its workflow.

Advantages of Bugzilla

It improves the quality of the product.

It enhances the communication between the developing team and the testing team.

It has the capability to adapt to multiple situations.

Differences between Jira & Bugzilla

The following are the differences between Jira and Bugzilla are:

License Jira software is available to only those who are the commercial license owners while Bugzilla software is an open-source tool, i.e., it is available without any license.

Server side architecture The server-side architecture of Jira software is built on MySQL, Oracle, PostgreSQL, Perl while the server-side architecture of Bugzilla software is built on J2EE, Tomcat, Lucene, MySQL, Oracle, PostgreSQL.

Server Load Server load in Bugzilla is considerably low as compared to the Jira software. In Bugzilla, multiple instances can run on one server without much overhead while Jira is a complex system that executes most of the server-side code per web request due to which server load is considerably higher. It is recommended to have powerful hardware for Jira, i.e., modern CPU and 1 GB of memory. According to the Atlassian community, do not store more than 200,000 issues on a single JIRA instance.

Drag-and-Drop issue prioritization Drag-and-Drop issue prioritization feature is available in Jira but not in Bugzilla. In Jira, you can easily drag and drop the issues based on the priority of the issues, but this will not be possible in Bugzilla.

Dashboard with customized gadgets Gadgets provide a summary of all the details, such as the team’s progress, reports, etc. Jira provides the feature “Dashboard with customized gadgets” in which you can customize the gadgets according to your needs, but this feature is not available in Bugzilla.

Real-time release tracking One of the most important thing during the development of the software is the visibility. Jira overcomes this problem by providing the communication between the development team and testing team due to which the team members can get to know that “when the task is started” and “when the task will be completed”. This feature is not available in Bugzilla.

Attachments In Jira, multiple files can be attached at a time while in Bugzilla, only a single file can be added at a time.

Apigee, pronounced App-ih-gee, is an API gateway management tool offered by Google to exchange data across cloud services and applications. Since many sites and services are delivered by way of RESTful APIs, API gateways are used to connect these sites and services in order to provide data feeds and bolster communication abilities. Apigee is one tool that can manage the API gateway and make it easier to produce and deploy modern, developer-friendly apps.Developers creating connected apps, companies updating legacy applications and others facilitating data transfer between applications and services can use Apigee. Google provides demo videos on how Apigee works on the Google Cloud website. The platform is also available in an evaluation option to try it for free.

Features of Apigee

Apigee can be purchased through a subscription model that gives access to the API management platform. A few features of the product include:

Connects a modern user interface to legacy data stores.

Automates the development of API documentation and software development kits.

Supports hybrid cloud and multi-cloud

Harnesses machine learning and analytics to generate actionable insights.

Offers monitoring tools for API troubleshooting, security and optimization.

Ability to scale as needed.

Ab Initio vs Informatica

Ab Initio and Informatica are pretty technical terms to most people. However, these are two of the most important tools when talking about software and data management. They are superb ETL (extract, transform, and load) tools used by many companies throughout the world today.

Foremost, these tools differ in the companies they serve. Informatica is said to cater to the data integration and management needs of medium to big business companies. It boasts of a broader data integration capability which includes many related functions such as profiling and data quality. Also, it is more mainstream in nature than the Ab Initio. The latter serves many companies under the Fortune 1000 list. It is more of a niche ETL type that is able to handle relatively larger volumes of data.

These two companies have different marketing philosophies. Informatica, being mainstream, makes use of a lot of paperwork and online press releases, web forums, and network developers. Surprisingly, Ab Initio almost seems to have no news or information on their products and opts for direct client marketing rather than basing it on the Internet.

Moreover, both Ab Initio and Informatica have parallelism support. However, the latter can only support one kind of parallelism whereas the former has three different parallelisms namely: pipeline, component, and data parallelisms.

Scheduling is also more cumbersome in Ab Initio because there’s no scheduler unlike in the case of Informatica. Hence, you need to run a script or enter a schedule manually if you’re using the Ab Initio.

Generally, it has been noticed that Ab Initio is a friendlier system than Informatica. It is because it is able to process varying text files so you can read or browse through them even if each file is structured differently.

Overall, both Ab Initio and Informatica are different tools whose appropriateness depends on the company’s need, the nature of data integration needed, the amount of data to be handled, and the overall infrastructures available among others. Still, there are many other significant differences between the two tools but the most noticeable of which are the following:

Informatica is more mainstream and has wider or broader data integration capabilities than Ab Initio

Ab Initio generally serves companies under the Fortune 1000 list while Informatica serves another medium to large-scale companies.

Ab Initio practices direct client marketing while Informatica has a lot of online leg work through press releases, forums, and the like.

IT and security organizations use Identity and Access Management (IAM) solutions to administer user identities and control access to enterprise resources. CyberArk IAM solutions ensure the right individuals have access to the right IT resources, for the right reasons, at the right time. They are a fundamental component of a defense-in-depth security strategy and are critical for defending IT systems against cyberattacks and data loss.

Key IAM features:

Single Sign-On – Most IAM solutions support Single Sign-On  (SSO) functionality that lets users access all their business applications and services using one set of login credentials. SSO improves user satisfaction by eliminating password fatigue. It streamlines IT operations by centralizing and unifying administrative functions. And it strengthens security by eliminating risky password management practices, and reducing attack surfaces, and security gaps.

Adaptive Multi-Factor Authentication – Most IAM solutions provide Adaptive Multi-Factor Authentication  (MFA) functionality to protect against impersonation and credential theft. With MFA, a user must present multiple forms of evidence to gain access to a system, for example, a password or fingerprint and an SMS code. Modern MFA solutions support adaptive authentication methods, using contextual information (location, time of day, IP address, device type, etc.) and administratively defined policies to determine which authentication factors to apply to a particular user in a specific situation.

What is Hadoop

Hadoop is an open source framework from Apache and is used to store process and analyze data which are very huge in volume. Hadoop is written in Java and is n ot OLAP (online analytical processing). It is used for batch/offline processing.It is being used by Facebook, Yahoo, Google, Twitter, LinkedIn and many more. Moreover it can be scaled up just by adding nodes in the cluster.

Modules of Hadoop

HDFS: Hadoop Distributed File System. Google published its paper GFS and on the basis of that HDFS was developed. It states that the files will be broken into blocks and stored in nodes over the distributed architecture.

Yarn: Yet another Resource Negotiator is used for job scheduling and manage the cluster.

Map Reduce: This is a framework which helps Java programs to do the parallel computation on data using key value pair. The Map task takes input data and converts it into a data set which can be computed in Key value pair. The output of Map task is consumed by reduce task and then the out of reducer gives the desired result.

Hadoop Common:These Java libraries are used to start Hadoop and are used by other Hadoop modules.

Hadoop Architecture

The Hadoop architecture is a package of the file system, MapReduce engine and the HDFS (Hadoop Distributed File System). The MapReduce engine can be MapReduce/MR1 or YARN/MR2.

Ab Initio vs Informatica

Ab Initio and Informatica are pretty technical terms to most people. However, these are two of the most important tools when talking about software and data management. They are superb ETL (extract, transform, and load) tools used by many companies throughout the world today.

Foremost, these tools differ in the companies they serve. Informatica is said to cater to the data integration and management needs of medium to big business companies. It boasts of a broader data integration capability which includes many related functions such as profiling and data quality. Also, it is more mainstream in nature than the Ab Initio. The latter serves many companies under the Fortune 1000 list. It is more of a niche ETL type that is able to handle relatively larger volumes of data.

These two companies have different marketing philosophies. Informatica, being mainstream, makes use of a lot of paperwork and online press releases, web forums, and network developers. Surprisingly, Ab Initio almost seems to have no news or information on their products and opts for direct client marketing rather than basing it on the Internet.

Moreover, both Ab Initio and Informatica have parallelism support. However, the latter can only support one kind of parallelism whereas the former has three different parallelisms namely: pipeline, component, and data parallelisms.

Scheduling is also more cumbersome in Ab Initio because there’s no scheduler unlike in the case of Informatica. Hence, you need to run a script or enter a schedule manually if you’re using the Ab Initio.

Generally, it has been noticed that Ab Initio is a friendlier system than Informatica. It is because it is able to process varying text files so you can read or browse through them even if each file is structured differently.

Overall, both Ab Initio and Informatica are different tools whose appropriateness depends on the company’s need, the nature of data integration needed, the amount of data to be handled, and the overall infrastructures available among others. Still, there are many other significant differences between the two tools but the most noticeable of which are the following:

Informatica is more mainstream and has wider or broader data integration capabilities than Ab Initio

Ab Initio generally serves companies under the Fortune 1000 list while Informatica serves another medium to large-scale companies.

Ab Initio practices direct client marketing while Informatica has a lot of online leg work through press releases, forums, and the like.