DevOps Training

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DevOps Training in Hyderabad

About The Course

The DevOps training in Hyderabad is aimed at giving you an in-depth introductory understanding of DevOps. Being one of the best DevOps training in Hyderabad, the training course dives into the tools of DevOps, which govern operations and provide a thoroughly researched documentation of the operations, functions, and parameters of these tools. The DevOps online training in Hyderabad is a comprehensive online resource that is easily accessible and highly informative and educative. Like in other DevOps training institutes in Hyderabad that use online training courses, this one looks comprehensively into DevOps practices of Continuous Development, Continuous Integration, Continuous Delivery, Continuous Testing, Continuous Deployment, Continuous Management, among others, their operation objectives and the tools used in each practice.

Course Objectives

This DevOps training in Hyderabad Ameerpet aims at ensuring that you become a capable DevOps developer and at the end of the DevOps training in Hyderabad, you should:
Have an understanding of DevOps, DevOps practices as well as how these practices improve the development efficiency.
Understand the DevOps Lifecycle and the associated systems and tools in each phase of the lifecycle, the functions of these systems and functions and the overall contribution to the development process.
Have sufficient knowledge and understanding of DevOps terminology.
Identify various DevOps tools and their functions as well as how to operate them.
Have the know-how to operate various DevOps tools.
Be capable of starting a DevOps project and manipulating it using various Systems and tools to meet your needs.
Understand Agile Methodology as well as how it correlates with DevOps

Who can opt this course?

Any IT professional should opt for this DevOps training course that is one of the best online training course in Hyderabad, particularly:
Developers
System administrators
Release engineers
Professionals in cloud-based systems and strategies
Database management administrators
Anyone interested in the DevOps Career path, which is very successful and marketable.

Why learn this course?

With leading organizations and businesses in the tech world shifting to DevOps as their go-to solution for application and software development, taking this DevOps training in Hyderabad Ameerpet places you at the forefront of a revolution. DevOps is changing how people go about with development and operation of cloud-based systems and strategies. That is why a lot of DevOps training institutes in Hyderabad are rushing to offer DevOps training. You should learn this course to understand the operation and parameters of DevOps, giving you the necessary marketable skills to be chosen as part of various IT professionals in the industry being picked for the countless development projects by lucrative organizations and businesses.

On the other hand, as part of the management of an organization or business looking to integrate DevOps in its development process, you should take this DevOps online training in Hyderabad so that you can gain a better understanding. This will enable you to become a better leader, who is involved in development, understands the demands and efficiency rate and can adjust the timeline accordingly, and not just a figurehead looking for results without concern for the process. This being one of the best DevOps training in Hyderabad, will give you an edge over your competitors and set your organization on a path to success. Besides, a better understanding of DevOps will help you pick up a number of useful skills on management, scheduling, valuing client input, team collaborations, and coordination and so on, thereby making you the leader of an efficient and functional business or organization whose goal is to deliver quality services and products to the clients.

What are the pre-requisites for this course?

Anyone with basic knowledge and experience in the IT field can take this DevOps training in Hyderabad. There aren't other prerequisites although it would set you apart as a fast and successful learner if:
You had an understanding of cloud-based systems and strategies
You understood coding in various languages
You had experience in Agile Methodology

DevOps Overview

Introduction to DevOps

DevOps refers to an organization's combination of tools and practices, which is aimed at increasing applications, software and service delivery. The model incorporates the software development and information technology operations teams together to work as one synchronized unit. This is also where the DevOps name is derived from. Throughout the application development lifecycle, therefore, the teams are able to function in a manner that promotes fast and easy development, security and quality assurance. DevOps limits downtime that would normally occur during the phases of each stage of the application's lifecycle, such as between development and testing. More so, using numerous DevOps tools, the teams are able to automate processes that would normally be manual, which increases efficiency and cuts down on time and resources used through the development process.

DevOps Evolution

DevOps evolved from agile software development, which refers to techniques used to ensure there was collaboration in the individual efforts of different development teams as expressed in the Agile Manifesto. DevOps evolved to further improve the agile methodology and guarantee greater efficiency and easier communication between the teams throughout each stage of development.

DevOps Lifecycle

The DevOps lifecycle is centered around ensuring that there are little downtime and constrictions between the phases of development to guarantee continuous delivery. As such, it employs techniques of continuous integration (CI), continuous testing (CT), continuous delivery (CD) or deployment and continuous monitoring. Through each phase, the automated process reduces the amount of time taken for each team to understand the code and pass it along the chain, which reduces the amount of time spent before the software is rolled out to the market. The steps of the DevOps Lifecycle include:
Development/ Building
Testing and debugging
Provision
Configuration
Deployment
Monitoring
Feedback

Introduction To Agile Methodology

Agile Methodology refers to techniques used by developers to work as teams and cooperating with the customer to increase their efficiency in development. This is all based on principles listed in the Agile Manifesto that underline what should be done in Agile software development. The methodology aims to shift from traditional software development where the emphasis was on individual effort without customer input, leading to slow and expensive development.

How DevOps Appreciates Agile Methodology

Having evolved from Agile Software Development, there are instances where DevOps borrows from and appreciates the Agile Methodology even though both are different philosophies of development.

Customer/ End-user involvement

By integrating the operations teams throughout the entire process of development, DevOps guarantees constant end-user involvement and input in the product. This is one of the ideologies borrowed from Agile Methodology that makes the product more effective as it is released at each stage of development.

Team cooperation

Although Agile Methodology focuses on unifying development teams to work as a single unit, this philosophy is a major influence of how DevOps functions. DevOps unifies the development and operations teams to work together to achieve faster, affordable, efficient and effective software delivery to the customer.

Introduction to various DevOps Tools

Version control systems

Version control systems (VCS) refer to software systems that are used in the tracking and management of changes to files/documents, programs, websites and other information. Though they are normally run as independent systems, they can also be embedded and operated as part of other software and systems such as spreadsheets, content management systems, among others. Examples include Git, Subversion, AccuRev, among others.

Continuous integration

Continuous Integration (CI) refers to the practice where a developer updates or uploads new code into a shared repository regularly, usually several times daily, where other developers in various development teams have access to it. This allows for early and easy detection of code integration problems, enabling quick and targeted rectification. The shared repository, in this case, is a VCS, which can track the changes to the code.

Artifact repository

The development process may include a high number of developers using the same tools and resources and deploying code components to the same product. A VCS is used to track and manage the changes to these shared tools, resources and product for the eventuality of building all the source files into binary artifacts. An artifact repository manager is used to ensure optimal storage, upload, and download of these binary artifacts as well as any third party artifacts used by the developers, including the metadata. This reduces branching and complex diversity that would otherwise arise from using different artifacts in the development of the same software. An example is Maven.

Continuous deployment tools

After successful continuous delivery, there needs to be continuous deployment, which automatically deploys all the changes in the software that pass the automated tests to production. Continuous deployment is an automated process that relies on tools, which run the tests and deploy the code, such as ElectricFlow, Octopus Deploy, Codeship, among others.

Monitoring tools

Continuous monitoring tools allow for the early detection and identification of risks and compliance in various systems throughout the entire development process to limit the problems encountered and are grouped into categories as follows:

Network and infrastructure monitoring tools

These tools are responsible for monitoring, identifying and resolving problems in the infrastructure and network, such as the servers and routers. Examples include Zabbix, Sensu, Nagios, among others.

Application performance monitoring tools

These tools help monitor the health and performance, provide early detection and help resolve problems, improve performance, reduce latency and enable troubleshooting for your applications. Examples include Compuware APM, AppDynamics, New Relic, among others.

Log analysis tools

These tools allow for the indexing and monitoring of log files, which provides security monitoring. Examples include Elastic Stack, Splunk, among others.

Aggregator tools

These tools provide integration and monitoring of other monitoring tools providing correlations between events in Network and infrastructure, application performance, and log files, easy user interfaces, and alerts. Examples include PagerDuty, BigPanda, among others.
Git
Following issues in accessibility, performance and workflow with BitKeeper, Monotone and all other accessible Source control management systems at the time, it became necessary for the development of a system that accommodated for all these issues and provided all the necessary functions. Which is how Linus Torvalds, began the development of Git. Based on the Linux Kernel, it is an open source, free VCS with high portability, integration, and compatibility, security, performance as well as efficiency in both small and large projects.

Continuous Integration

Introduction to continuous integration and various CI tools

As earlier defined, Continuous Integration (CI) refers to the practice where a developer updates or uploads new code into a shared repository regularly, usually several times daily, where other developers in various development teams have access to it. Various practices make continuous integration an achievable objective and these include:

Using an artifact repository

This allows the developers to work as a comprehensive unit, limiting the chance of different branches of code arising. More so, you can use VCS and artifact repository management tools to better store, track, identify and act on the changes made in the code.

Using automation

When it comes to building, testing, and deployment, you should automated processes. This allows for a fast and easy build, immediate self-testing and fast deployment. Automation also limits the need for human input, which reduces chances of mistakes and slow pace. This also enables every developer's code to be built, which limits issues arising from incorrect integration. Various tools can be used in each of these phases of the development lifecycle.

Assured accessibility

Everyone involved in the development process should have unlimited access to the repositories to see the changes, upload and download data and other functions. More so, this should go hand in hand with ensuring that each developer contributes to the code on a daily basis, which limits the rise of conflicting or redundant code and features.

Using a production environment

Instead of using a test environment, carry out tests in a production environment, reducing the need to run the checks again, making production fast. Most importantly, differences in the test and production environment could lead to failures in the production environment even though the code works in the test environment. Your test environment should, therefore, be a scalable copy of the production environment.
All these practices can be made easier and more effective through the use of continuous integration tools such as Jenkins, Codeship, Travis CI, TeamCity, GitLab CI, CircleCI, among others.

Jenkins


Introduction to Jenkins

Jenkins is an open source continuous integration tool that runs on the Java SE platform. It's installed on the same server that the build takes place and is distributed as a WAR file.

Install and configure Jenkins

Minimum system requirements to run Jenkins
Java Development Kit (JDK) version 1.5 and above
2 GB RAM and enough disk space for build storage
Any of the following OS Windows, Debian, Ubuntu, Mac OS X, Gentoo, Red Hat, CentOS, Fedora, OpenBSD, OpenSUSE, FreeBSD.
JavaServer Pages (JSP) version 2.0 and above with Servlet 3.1 support

Access
Download Jenkins from their official website at https://jenkins.io/index.html. You can select any version, including the latest ones but choose the 'Older but stable version option'.

Installation of Ubuntu
Follow this link https://wiki.jenkins-ci.org/display/JENKINS/Installing+Jenkins+on+Ubuntu

Installation for Red Hat Distributions
Follow this link https://wiki.jenkins-ci.org/display/JENKINS/Installing+Jenkins+on+Red+Hat+distributions

Installation for Docker
Follow this link https://wiki.jenkins-ci.org/display/JENKINS/Installing+Jenkins+with+Docker

Installation in Containers
Follow the following link to get container-specific installation guides and documentation https://wiki.jenkins-ci.org/display/JENKINS/Containers

Installation on windows
Option 1: Using Windows Installer
You can install Jenkins using the windows installer available at https://jenkins.io/index.html
Option 2: As a service
You can install Jenkins as a windows service using the guide available at https://wiki.jenkins-ci.org/display/JENKINS/Installing+Jenkins+as+a+Windows+service

Jenkins configuration
  1. On the Jenkins Menu, select 'Manage Jenkins'
  2. On the tab that shows, select 'Configure System'
There are various configuration options available, for which you should remove the default values and specify your own, including:
Jenkins Home Directory
Environment Variables
# of executors
Jenkins URL
Email Notification
For more information on Jenkins configuration visit https://www.tutorialspoint.com/jenkins/jenkins_configuration.htm

Install plugins in Jenkins
Download your plugins from https://plugins.jenkins.io/ or build one, if need be. You can then install, update or uninstall plugins through the Plugin Manager. Click on 'Manage Jenkins' then 'Manage Plugin' options to get the Plugin Manager.


Create various types of build jobs

Maven

For detailed information on how to link Maven to Jenkins and create a Maven build job, please refer to the following links:
https://www.tutorialspoint.com/jenkins/jenkins_maven_setup.htm
https://wiki.jenkins-ci.org/display/JENKINS/Building+a+maven2+project
https://www.cloudbees.com/blog/painless-maven-builds-jenkins

Freestyle
For detailed information on how to create a Freestyle build job, please visit https://www.tutorialspoint.com/jenkins/jenkins_setup_build_jobs.htm

Parameterized
For detailed information on how to create a Parameterized build job, please visit https://wiki.jenkins-ci.org/display/JENKINS/Parameterized+Build

Pipeline
For detailed information on how to create a pipeline build job, please visit https://jenkins.io/doc/pipeline/tour/hello-world/

Maven

Introduction to Maven
Maven is a Java-based build automation/ artifact repository tool that allows for the storage and tracking of artifact during the development process. The goals of Maven are:
Simplify the build process by reducing the need to know details through automation
Providing consistency in the build system thereby guaranteeing quick familiarization with the build process and even quicker handling for larger projects.
Issuing quality project information such as log files, mailing lists, dependency lists, etc.
Allowing easy and open shifts to new features to the software, applications, Maven plugins and Maven itself for easier updates to the same.

Setup a Maven project in Jenkins
For detailed information on how to link Maven to Jenkins and create a Maven project, please refer to the following links:
https://www.tutorialspoint.com/jenkins/jenkins_maven_setup.htm
https://wiki.jenkins-ci.org/display/JENKINS/Building+a+maven2+project
https://www.cloudbees.com/blog/painless-maven-builds-jenkins

Integrate Jenkins with Git
Step 1: From the Jenkins menu, select 'Manage Jenkins'
Step 2: From the screen that appears, select 'Manage Plugins'
Step 3: From the Plugin Manager, search for the Git plugin
Step 4: Select the 'Install without restart' option to install the Git plugin.
Step 5: Restart Jenkins from the browser through the http://localhost:8080/Jenkins/restart command.
Step 6: Confirm that Git is an option by starting a new project, selecting the freestyle project option and checking to see whether Git is an option in the Source Code Management tab.

Pull a project from Git and build it from Jenkins
To pull a project from Git to build it with Jenkins, you first have to install the GitHub Pull Request Builder Plugin and configure it as explained in the following links:
https://learning-continuous-deployment.github.io/jenkins/github/2015/04/17/github-jenkins/
https://www.theguild.nl/building-github-pull-requests-with-jenkins/
Demo a build job, which pulls code from GitHub and builds it using Jenkins
For the demo please visit https://wiki.jenkins-ci.org/display/JENKINS/GitHub+pull+request+builder+plugin

JIRA (Bug Tracking Tool)


Introduction To JIRA
JIRA is a Java-based tracking tool used in issue tracking, bug tracking, and project management during the DevOps development process.

Introduction to Developer Role
Throughout the process of development, JIRA allows different users to be assigned different project roles, allowing greater control of the project and over who can access what information. These roles include Administrator roles, developer roles, and user roles. The developer role is assigned to individuals with the responsibilities of working on the project and its issues. You can also create new roles and edit new and existing roles as the need arises.

Artifact Repository
Introduction to Artifacts and various artifact repository tools
In the development process, there are many by-products produced with different functions. One such function is the documentation of the development process and functions of the different software, architecture and other resources. Another function is the development process such as in the case of risk assessments, project plans, among other functions. These by-products are known as artifacts. An artifact repository manager/ tool, as earlier mentioned, is used to ensure optimal storage, upload, and download of these binary artifacts as well as any third party artifacts used by the developers, including the metadata. Examples of artifact repository tools include Nexus, Archiva, Maven Repository, among others.

Nexus

Introduction to Nexus
The Nexus artifact repository tool allows for the cataloging of artifacts preceding storage. Multiple artifact catalogs can be created allowing for efficiency in that different teams can store their artifacts in the same repository and call them up using the different catalogs.

Install and configure Nexus on Linux and Windows
For detailed information on installation and configuring Nexus on Linux and Windows including prerequisites, download and other information, visit https://books.sonatype.com/nexus-book/reference/install.html

Publish artifacts to Nexus via Nexus CLI and also via Jenkins
For information on how to publish artifacts to Nexus using the Nexus Command Line Interface visit: https://codegists.com/code/upload-artifact-to-nexus-command-line/
Publishing artifacts to Nexus using Jenkins relies on a Nexus Artifact Uploader or repository connector plugins as detailed in the following links:
https://wiki.jenkins-ci.org/display/JENKINS/Nexus+Artifact+Uploader
https://wiki.jenkins-ci.org/display/JENKINS/Repository+Connector+Plugin

Pull the artifacts from Nexus
For detailed information on various methods to pull artifacts from Nexus, visit: http://www.sonatype.org/nexus/2015/02/18/retrieve-artifacts-from-nexus-using-the-rest-api-or-apache-ivy/

AWS

AWS refers to a number of cloud computing services offered by AWS, a subsidiary of Amazon.com. These services can be employed in DevOps techniques to simplify the access to infrastructure, automation and deployment process, monitoring of the applications, among other functions.
Demo on spinning up an instance in AWS and connect it from your desktop

Before you can connect to an ECS instance, you have to launch. There are different types of instances so you have to know, which instance you are launching such as a Linux or Windows Instances or an instance launched through the AWS CLI. Just as there are various ways to launch an instance, there are also different ways of connecting to the instance such as through a web browser for a Linux Instance and using a Remote Desktop Protocol (RDP) or the IPv6 for a windows instance. For detailed information on how to launch and connect to the instance follow the following links:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EC2_GetStarted.html
http://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html

Create security groups in AWS and setting up firewall rules in AWS
Security groups are virtual firewalls that control network traffic in one or multiple instances. The flow of traffic in and out of the instance as controlled by the security groups is defined by the security group rules, which are by default permissive, stateful and allow outbound traffic in the instance. You can modify the rules at will. Multiple security groups can be associated with an instance and the rules applied in each security group will be combined to create a single set of rules. To set up the security group rules, you have to define the following variables from their default options:

Protocol
ICMP code and type
Port range
Either the destination or source of network traffic
For detailed information on security groups and security rules, visit the following link: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-network-security.html

Continuous Deployment
Introduction to continuous deployment
Continuous Deployment comes after Continuous Delivery in the development process following DevOps techniques. Using automated processes and tools, any changes in the software are tested and if they successfully pass the tests, they are deployed to production. This reduces lead time and the effort used in the deployment of the software.

Introduction to various deployment toolsChef

The Chef deployment tool is divided into three parts for easy of application:

Chef Development Kit
This acts as the workstation, providing the developer with tools for development and automation before deployment.

Chef Server
This acts as the repository for information about the nodes that are under its management and the state of infrastructure.

Chef Client
These are virtual or physical machines under the management of the chef server but in use by the client or customer.

Functions
  1. Maintenance of cloud environments and data centers such as Linux and AIX servers.
  2. Acceleration of cloud adoption, which allows you to deploy your code quickly and easily.
  3. Management of multiple cloud environments allows simultaneous functioning and deployment from different cloud servers
  4. High availability even in instances of partial hardware or network failure, thereby enabling consistency in the functioning of the servers
  5. Automation of testing, continuous deployment, auditing, troubleshooting, security, and compliance, among other automated functions, simplifies the processes making them faster, effective and reliable.

Puppet


Implementing the infrastructure as code mode, Puppet allows for quick, easy and reliable deployment of quality software. Puppet allows developers to define their configuration policies, which are then used in the automated testing of the software as it is continually delivered into the production environment. This also allows Puppet to enable and monitor security policies in the software, which eases the speed of deployment since security policies are not added to the code post-production.

Ansible

Ansible is an open source deployment tool. One of the best features is that it supports SSH, which allows the developer to automate in a language that is close to English. This limits the need for the developer to learn complex scripts and create custom codes for deployment of applications. More so, there is improved security since the agents are not deployed to the nodes and instead, OpenSSH is used. High reliability is yet another feature when the code in the Ansible Playbook is written well. Ansible also has high cloud compatibility and integration, and it can deploy to various cloud environments.

SaltStack

SaltStack is an open source deployment tool, remote execution engine, and configuration management software. With Salt, you can target the nodes that you want to run commands on. Salt is best known for allowing deployments on a massive scale using the client-server model. All this is done over secure, encrypted protocols. It also allows for high-speed efficiency and is lightweight hence, it works well without using too many resources or needing high system requirements.

Monitoring

Monitoring is a necessary part of DevOps allowing for the tracking of changes in the software and applications as well as the infrastructure and other resources. This is enabled by a variety of monitoring tools, which may also serve other functions in the DevOps development lifecycle such as logging.

Introduction to various Monitoring ToolsNagios

Features and functions
Nagios XI - Monitoring of infrastructure necessary to the development process such as operating systems, network infrastructure, and protocols, applications, among others.
Nagios Log Server - Simplifies the tracking and search of log data for fast auditing and availability.
Nagios Network Analyzer - Tracks potential security threats from traffic sources and allow faster and easier resolve of these threats.
Nagios has a comprehensively involved community that provides many plugins that allow for greater integration and application of the Nagios tool in monitoring.

Docker

Docker is a software that allows for the automation of continuous deployment through the use of software containers. These containers operate independently in an instance, limiting the expense of running and maintaining multiple virtual machines. Their lightweight nature allows one to run multiple containers on a single server, in which multiple processes can be run, which increases the efficiency of deployment, especially for large projects. Projects and apps can be written in any language without any incompatibilities or conflicts in the versions.

Puppet

Puppet is a software configuration management tool used in DevOps allowing for faster, frequent and easier release of quality software. Using the infrastructure as code model of management, Puppet guarantees automated testing, versioning, and continuous delivery of projects. More so, Puppet allows the developers to define configuration policies, which are involved in regulatory and security compliance. Puppet then manages these policies reducing the risks of failed audits and security misconfiguration. The fact that you build the configuration policies in the project guarantees deployment of secure software. Similarly, Puppet monitors changes in the policies throughout the development process, which is why it passes for a monitoring tool as it does a deployment tool.

MiscellaneousOther tools used in DevOpsBuild Tools

Build tools provide the built environment to run automated scripting or compiling of the binary from the source code. Examples include; Maven, Gradle, Grunt, Broccoli, Gulp, Grunt, Make, CMake, Sbt, Packer, MSBuild, Rake

Testing Tools

Testing tools provide dedicated continuous testing of the software to guarantee early detection of issues and allow for appropriate actions to be taken to rectify the issues. Examples include; FitNesse, Selenium, Gatling, Cucumber, Qunit, Jasmine, Karma, Mocha, JMeter, JUnit

Containerization Tools

Containerization tools allow for the deployment of application containers, allowing for multiple independent systems to run within a single server, and multiple processes within each container, thereby reducing the amount of time and effort spent on development. Examples include; Docker, RKT, Mesos, Swarm, Kubernetes, Nomad

Security Tools

Security tools provide more comprehensive tracking, monitoring, logging and security of infrastructure, applications and other resources as well as the software and applications being built, as they pass along the development chain. Examples include; Snort, Tripwire, Fortify

Cloud Tools

The relationship between DevOps and the Cloud is very integral to the understanding of the function of Cloud Tools. DevOps relies in large part on the cloud services offered by Cloud tools for functioning as a development strategy. The implementation of DevOps, which is centered around Software-as-a-Service (SaaS), is largely dependent on cloud services which offer Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Cloud tools provide the base of operation for other DevOps, in effect enabling the existence of DevOps. Examples include; Amazon Web Services, Azure, Google Cloud Platform, OpenStack, Heroku, OpenShift, Rackspace

Collaboration Tools

DevOps relies on the development and deployment teams working together as a single unit in the development process. That means there has to be back and forth communications between the teams involved in the development and those involved in the deployment as well as with each other. Collaboration tools enable for real-time communication strategies for the development and deployment teams to work together as a single unit. Examples include; Team Foundation, Trello, HipChat, Slack, Flowdock, Pivotal Tracker, ServiceNow, JIRA

Database Management Tools

In most development processes, multiple databases exist independently of the software production environment. This sets them apart and limits the influence, if any, of the tools operating within the production environment on the database. Database management tools are used to provide efficient, fast and dedicated management of the database to the database administrator. This allows for functions such as querying, altering database schemas, editing runtime parameters, and other database-specific functions to be run efficiently for multiple databases from one system. Examples include; DBMaestro, Liquibase, Datical, Delphix, Idera, Redgate

Release Management Tools

Release management tools allow optimization of the release process for the release management teams. They manage and control code deployment, track the releases, manage the release versions and corresponding infrastructure, among other release management functions.  Examples include; XL Release, BMC Release Process, UrbanCode Release, Automic, Plutora Release, HP Codar, Serena Release

Logging Tools

Logging tools provide comprehensive, dedicated and proprietary logging solutions such as cluster, targeted task and holistic monitoring, multi-dimensional data collection, data querying, performance analysis, among other logging and monitoring functions. Examples include; Splunk, Logentries, Semo Logic, Logstash

For more information on other DevOps Tools, visit: https://xebialabs.com/periodic-table-of-devops-tools/

Conclusion

By now you should have a basic to an experienced level of understanding when it comes to DevOps. The DevOps training in Hyderabad Ameerpet should have provided you with ample knowledge of DevOps practices, systems, and tools as well as how to manage and run them to your specific requirements. More so, you should understand how to go about in the integration of development and operations teams to guarantee quicker, efficient, effective and less expensive development.
Keep in mind that this DevOps online training in Hyderabad is just theoretical and there is so much more to be learned about DevOps. That is why you should use all available resources, including the links provided in the above documentation of the best DevOps training to gain a more detailed and informative understanding of the DevOps tools and systems. You should aim to seek more knowledge in areas that were only lightly explored such as the Miscellaneous section of this documentation.
By being a DevOps online training in Hyderabad, it is our hope that you use this training course to expand your knowledge of development through DevOps at your own convenience. Practice will eventually pay off in honing your skill and catapulting you into the market as a highly acclaimed DevOps developer. The theoretical part of it is not all you should look into and you should never stop practicing with different systems, tools, plugins, coding languages, platforms, environments and much more, to ensure that what you read in this documentation is well understood and internalized.

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sai
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