Training

RH413 – Red Hat Certificate Of Expertise In Server Hardening

 

₹8,000 – SCHEDULE ENQUIRY

Overview

The Red Hat Enterprise Linux Diagnostics and Troubleshooting will provide candidates with an in depth knowledge of tools and techniques that are required in the market to successfully diagnose, understand and fix a wide range of potential issues and threats. Candidates will go through all the practical labs in order to understand the system issues and will have a thorough walk through over the problems and common issues which are faced in the real market.

Audience

The Red Hat Enterprise Linux Diagnostics and Troubleshooting is for any candidate who is willing to persue their career in troubleshooting and diagnosis. It also aims for the senior system administrators who are willing to upgrade their current Linux skill set.

Prerequisites

  1. Candidates who have earned Red Hat Certified System Administrator – I or similar.
  2. Candidates who have earned Red Hat Certified Engineer or similar.

Duration

20 Hours 00 Minutes

11 Lessons

Lessons

  • Introduction to troubleshooting and diagnostics. 

Understanding the different classes of troubleshooting.

  • Take proactive steps to prevent smaller issues.

Preventing smaller issues from becoming larger threats. Tackling issues at ground level.

  • Troubleshoot boot issues

Understanding booting issues and dealing with them.

  • Identifying hardware issues

Understanding hardware issues and dealing with them.

  • Troubleshoot storage issues

Understanding storage issues and dealing with them.

  • Troubleshooting RPM issues.

Understanding RPM issues, learning and dealing with them.

  • Troubleshooting network issues.

Understanding network issues on software and hardware level and dealing with them.

  • Troubleshooting application issues.

Debug application level issues.

  • Deal with security issues.

Dealing with the security and subsystem issues in real time.

  • Troubleshooting kernel issues.

Identifying kernel issues at boot time.

  • Red Hat Enterprise Linux Diagnostics and Troubleshooting comprehensive review

Practicing all the practicals of Red Hat Enterprise Linux Diagnostics and Troubleshooting.

Learn and Deploy Own Cloud

Overview :

In the fast-growing IT industry market, every fortune 500 company today is now leaving the mundane practices behind and are adopting faster, more secure and agile methodologies. They are moving to Cloud Computing, be it a private cloud or a public cloud. Working with such a perspective allows them to reduce their total infrastructure and operations costs and allows them to deliver their projects much faster to produce. These companies look for people with the skill sets they need to manage their infrastructure over the cloud.

This is the right time for exploring your self with technologies like Cloud computing and keeping the need of the market in mind, we have designed this course which will help you realize the true potential of yourself and cloud computing, and will give you an in-depth knowledge of cloud computing practices.

Prerequisite :

 Participants should have basic knowledge of any operating system and networking to a basic level. Though this is not mandatory, it will help you get the most from this course.

Duration:  6 Weeks

Course Outline : [AWS with Azure Cloud Platform]

  • Introduction to Cloud and why it is Demanding 
  1.            What is Cloud?
  2.            Need of cloud.
  3.            Understanding the Cloud Infrastructure
  4.            Different Cloud Certifications available
  • Types of Cloud Services :
  1.           SAAS    (Software as a service)
  2.           StAAS       (Storage as a service)
  3.           IAAS       (Infrastructure as a service)
  4.           PAAS      (Platform as a service)
  5.           NAAS       (Network as a service)
  6.           DAAS        (Data as a service)
  7.           DBaaS     (Database as a service)

Application-based Cloud 

  1.  Introduction to LXC and LXD
  2.  Containers and dockers
  3.  App-based Container
  4.  Distributed app hosting
  •  Virtualization 
  1.  Introduction to Virtualization
  2.  Resources Division technology
  3.  Introduction to Hypervisor (KVM, XEN, Hyper-V, EXSI)
  4.  Objectives
  • SAAS   
  1.    Understanding cloud and why SAAS is so important
  2.    Deployment of  SAAS
  3.    User of X-windows system
  4.    SSH tunneling
  5.    Securing  SAAS cloud
  • StAAS 
  1.  Introduction to the Storage cloud
  2.  What is the diff between object, block and File storage
  3.  Deployment of  Object storage
  4.  Deployment of  Block storage
  5.   Deployment of  File storage
  6.   Object Storage with NFS, CIFS, SSHFS,  GFS
  7.   Block Storage with Iscsi, FC   using  targetcli and iscsi-targets
  • IAAS 
  1.   Overview of IAAS cloud
  2.   Integration of  hypervisors
  3.   VM deployment
  4.    Snapshot and backup
  5.    Live VM migration techniques
  • PAAS
  1.   What is the actual need to PAAS over IAAS
  2.   Developing own secure cloud PAAS
  3.   Use of Containers
  4.   Designing a Cloud platform for AWS based Infra
  • AWS
  1.  Introduction to Aws services
  2.  EC2
  3.  EBS
  4.  S3
  5.  VPC
  6.  Route 53
  7.  Cloud watch
  8.  Cloud formation
  9.  ELB
  • Understanding  the business requirement 
  1.  Understanding  the need for your business
  2.  Hosting your services to a cloud
  3.  Migrate your services to a cloud
  4.  Distribution of Resources
  • Integration of public and private cloud
  1.   Introduction  to public and private cloud
  2.   Resources sharing  between public and Private cloud
  3.    limiting  the resources  for public and private cloud

 

 

Public Cloud Development with Amazon Web Services

AdHoc Network’s Public Cloud Computing Internship is crafted for creating a deep understanding of public cloud infrastructure concepts of how tech giants like Amazon Web Services, Google Cloud, Rack Space, Open Stack provides services over the internet. Candidates will learn ins and outs of public cloud computing and how cloud works and deals with components on an Enterprise Level.

AdHoc Network has a broad syllabus which helps in covering each and every corner or public cloud computing, leaving no stones unturned. Also, It covers all aspects of cloud computing from Research point of view. 

End Product: Your very own and fully functional Public Cloud Datacenter with IAAS | SAAS | StAAS | PAAS over Amazon Web Server.

Audience

Students who are looking to make their career in Cloud Computing and are willing to get placed in awesome companies such as Amazon Web Services, Red Hat, Cisco, and VMWare.  

Candidates which are already Red Hat Certified System Administrators or Red Hat Certified Engineers and looking forward to using their knowledge for creating a cutting-edge project.   

Prerequisite

There are no prerequisites for this course. Though it has the need of basic Linux, Red Hat System Administrator – I and Red Hat System Administrator -II and Python.

All of these three courses are included in this Cloud Computing Course. So there is no need of going for individual courses. 

Concepts and their Implementations

  • Understanding Python CGI.
  • Implementing public MariaDB server.
  • Creating your very own Public Cloud Data Center.
  • Cloud development using AWS API.  
  • Understanding the need and concepts of AWS Infrastructure as a service, EC2. 
  • Understanding the concepts of public cloud computing.
  • Development of public clouds over AWS such as IAAS, SAAS.
  • Implementing AWS S3 API for StAAS.
  • Understanding Software Defined Storage.
  • Understanding AWS S3, a Simple Storage Service.
  • Implementing S3 for object storage.
  • Understanding Block Storage.
  • Implementing Cloud block storage with AWS Elastic Block Storage.
  • Implementing docker containers on Amazon EC2.
  • Understanding AWS Glacier. 
  • Implementing Software as a service on your public server with your own working online office.
  • Learning and developing online compilers.
  • Implementing your own Glance Service from Red Hat Open Stack.

Cloud Computing

AdHoc Network’s Cloud Computing Internship is crafted for creating a deep understanding of Cloud computing concepts where candidates will learn ins and outs of cloud computing and how the cloud works and deals with components on an Enterprise Level.

AdHoc Network has a broad syllabus which helps in covering each and every corner or cloud computing, leaving no stones unturned. Also, It covers all aspects of cloud computing from Research point of view. 

End Product: Your very own and fully functional Cloud Datacenter with IAAS | SAAS | StAAS | PAAS.

Audience

Students who are looking to make their career in Cloud Computing and are willing to get placed in awesome companies such as Amazon Web Services, Red Hat, Cisco, and VMWare.  

Candidates which are already Red Hat Certified System Administrators or Red Hat Certified Engineers and looking forward to using their knowledge for creating a cutting-edge project.   

Prerequisite

There are no prerequisites for this course. Though it has the need of basic Red Hat System Administrator – I and Red Hat System Administrator -II.

Both of these courses are included in this Cloud Computing Course. So there is no need of going for individual courses. 

Concepts and their Implementations

 

  • Creating your very own Cloud Data Center. 
  • Understanding the need and concepts of Infrastructure as a service. 
  • Understanding the concepts of cloud computing.
  • Development of IAAS, SAAS, StAAS and PAAS.
  • Understanding Software-defined storage.
  • Implementing GlusterFS, a clustered file system from Red Hat.
  • Understanding in depth concepts of Cloud Storage. 
  • Implementing Block Storage with iSCSI.
  • Implementing docker containers.
  • Implementing Software as a service with your own working ONLINE OFFICE.
  • Learning and developing online compilers.
  • Implementing your own Glance Service from Red Hat OpenStack.

 

In case of any queries or doubts, please feel free to contact us.

Call us on +91-8800882664, 0141-4038125

Send us an email at trai[email protected]

What Is a DevOps Engineer?

Demand for people with DevOps skills is growing rapidly because businesses get great results from DevOps. Organizations using DevOps practices are overwhelmingly high-functioning: They deploy code up to 30 times more frequently than their competitors, and 50 percent fewer of their deployments fail, according to our 2013 2015 State of DevOps report.

With all this goodness, you’d think there were lots of DevOps engineers out there. However, just 18 percent of our survey respondents in the 2012 / 2013 survey said someone in their organization actually had this title. Why is that?

In part, it’s because defining what DevOps engineers do is still in flux. That hasn’t stopped people from hiring for DevOps skills, though. Between January 2012 and January 2013, listings for DevOps jobs on Indeed.com increased 75 percent. On LinkedIn.com, mentions of DevOps as a skill increased 50 percent during the same period. Our survey revealed the same trend: Half of our 4,000-plus respondents (in more than 90 countries) said their companies consider DevOps skills when hiring.

fedtech-devops4

What are DevOps skills?

Our respondents identified the top three skill areas for DevOps staff:

  • Coding or scripting
  • Process re-engineering
  • Communicating and collaborating with others

These skills all point to a growing recognition that software isn’t written in the old way anymore. Where software used to be written from scratch in a highly complex and lengthy process, creating new products is now often a matter of choosing open source components and stitching them together with code. The complexity of today’s software lies less in the authoring, and more in ensuring that the new software will work across a diverse set of operating systems and platforms right away. Likewise, testing and deployment are now done much more frequently. That is, they can be more frequent — if developers communicate early and regularly with the operations team, and if ops people bring their knowledge of the production environment to design of testing and staging environments.

Discussion of what distinguishes DevOps engineers is all over blogs and forums, and occurs whenever technical people gather. There’s lots of talk, for example, about pushing coders — not just code — over the wall into operations. Amazon CTO Werner Vogels said in an interview that when developers take on more responsibility for operations, both technology and service to customers improve.

“The traditional model is that you take your software to the wall that separates development and operations, and throw it over and forget about it. Not at Amazon. You build it, you run it. This brings developers into contact with the day-to-day operation of their software. It also brings them into day-to-day contact with the customer.”

The resulting customer feedback loop, Vogels said, “is essential for improving the quality of the service.”

Longtime developer and entrepreneur Rich Pelavin of Reactor8 also sees benefits from DevOps culture in terms of increased responsibility for everyone: “I’ve seen organizations where engineers get beepers, so they’re the ones who get beeped if it goes wrong [in deployment]. That pushes them into the rest of the software lifecycle. I think that’s a great idea.” That’s a real change from non-DevOps environments, where developers make their last commits and head home…or to the ping-pong table.

What is a DevOps engineer, anyway? And should anyone hire them?

There’s no formal career track for becoming a DevOps engineer. They are either developers who get interested in deployment and network operations, or sysadmins who have a passion for scripting and coding, and move into the development side where they can improve the planning of test and deployment. Either way, these are people who have pushed beyond their defined areas of competence and who have a more holistic view of their technical environments.

DevOps engineers are a pretty elite group, so it’s not surprising that we found a smaller number of companies creating that title. Kelsey Hightower, who heads operations here at Puppet Labs, describes these people as the “Special Forces” in an organization. “The DevOps engineer encapsulates depth of knowledge and years of hands-on experience,” Kelsey said. “You’re battle tested. This person blends the skills of the business analyst with the technical chops to build the solution – plus they know the business well, and can look at how any issue affects the entire company.”

If DevOps is understood primarily as a mindset, it can get awfully fuzzy. But enough people are attempting definitions for us to offer this list of core DevOps attributes:

  • Ability to use a wide variety of open source technologies and tools
  • Ability to code and script
  • Experience with systems and IT operations
  • Comfort with with frequent, incremental code testing and deployment
  • Strong grasp of automation tools
  • Data management skills
  • A strong focus on business outcomes
  • Comfort with collaboration, open communication and reaching across functional borders

Even with broad agreement about core DevOps attributes, controversy surrounds the term “DevOps engineer.” Some say the term itself contradicts DevOps values. Jez Humble, the co-author of Continuous Delivery, points out that just calling someone a DevOps engineer can create a third silo in addition to dev and ops — “…clearly a poor (and ironic) way to try and solve these problems.” DevOps, he says, proposes “strategies to create better collaboration between functional silos, or doing away with the functional silos altogether and creating cross-functional teams (or some combination of these approaches).” In the end, Humble relents, saying it’s okay to call people doing DevOps by that term, if you really want to.

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