5 Advantages are:-

1. Fast analyzing source code for vulnerabilities.
2. Evolving the security for software industry.
3. It is also useful from removing noise from the given data.
4. Helpful in detecting dangerous usage of functions and API’s.
5. Identifies different login users, who are trying to change code.

Q2 – 10 Advantages

1. Automation of cloud server
2. Managing servers with ease
3. Deployment of servers at faster pace.
4. Best consistency – all the machines have same cloud running.
5. Scalability
6. Speed and accuracy
7. Integrating cloud technology
8. Effective risk management
9. Speed s/w delivery
10. Best rectification factor

Q3 – Installing Chef Workstation

1. Go the Chef workstation page
2. Click on the package for window/linux or any other version we want.
3. After clicking on download, we will get a link.
4. wget https://packages.chef.io/files/stable/chef-workstation/22.5.923/el/7/chef-workstation-22.5.923-1.el7.x86_64.rpm
5. Copy this to the putty, mingw server and download the packages of the chef.
6. Workstation will be installed

Q2 – ONE EXAMPLE OF TERRAFORM PROGRAM:

resource “github repo”(#we can use any other repo given) “example” {

name = “var999999”

description = “Any cloudbase given” //any description

visibility= “public”

}

Q3 – terraform init – Used to start working on Terraform configuration

terraform plan – It is useful in creating the execution plan which lets us to edit before real infra.

terraform apply – holds and carries the changes to other resources for the same.

terraform show – Provides a proper output for good understanding.

terraform destroy – To destroy all the objects made previously if of no use.

Q2 – Time Saving – As kubernetes eliminates the human or manual process by maintaining many servers together it is time saving.

Solution – If many servers are not working together, it gives the same solution to all the servers as they are inter related.

Open Source – The biggest advantage is that KB is open source and can be used by several companies for work agenda.

Many cloud servers – Kubernetes can host on one or many servers together. It can scale it environment from one to other cloud.

Kubernetes can work on public and private cloud both with high scalability.

Q3 – Components of Kubernetes are :-

1. API Server – API Server here is collection of multiple servers together working on same agenda. Acting as a admin tool for the architecture.
2. Etcd – It is majorly a database for the API Servers. Therefore, storing the data in the database.
3. Scheduler – It basically assigns the work to a worker. It is used to check whether the pods are matching the nodes or not, so that kubelet can run them accordingly. It assigns pods to its matching nodes in a group.
4. Controller mgmr – Controls all the API Servers for the services of the kubernetes and also controlling the worker state of kb.
5. Kube Proxy – It is used for networking services and also for maintaining the network rules in a cluster.
6. Network Driver – It is used for network driving for using the and running the plugins properly.

It can be also considered as an build or deployment tool. Docker files usually run in coordination with linux servers. It runs and deploys with the help of containers around.

It usually delivers the packages using containers to the required client and it delivers the packages to the cloud without any dependencies around.

Q2 – Containers are used to deliver packages to the cloud. It deploys its dependencies so that application runs quickly and reliably.

Containers acts as three different way – Engine, building and managing. Containers acts as builder as it has tools to build the container for specific task. Engine is used to run the container altogether and managing the containers too. Containers are used for both application deployment, and configuration.

It is used ultimately after running the docker file.

Q3 – 1. Docker lets us run the microservices that creates applications using containers.

2. Docker is considered to be faster as it takes few seconds to set the container image.

3. It has a ability, that we can run or use it anywhere, where internet is provided.

4. Changes can be made to necessary documents in docker increasing its flexibility.

5. It has more agility as it can bring out latest versions to the users in a faster pace.

Q4 – docker info – which gives the info about the status.

clear – clears out the cmd

docker pull httpd – for new image

docker ps -a – information about the size and the number of the image

docker excs = executable inside a container

docker inspect – for ip address validation

ping – to know the ip address the server is working on

docker exec -it = for running exec inside the container

run = for running the docker by creating and starting

jwd – for java address in jenkins

As you can see in the below image that how the various teams are working together and increasing stability and performance, which speeds up the software deliveries to the client.

Q – 2 – 10 Advantages of DevOps are:

1. As DevOps focuses on having one goal and brining all the teams together under one platform, we can say that it delivers in a faster way.
2. Also, we get more optimized product.
3. The quality is assured as many teams work together.
4. DevOps can bring in more innovation, as new ideas keep coming up.
5. It helps in reducing Knowledge waste and waiting time.
6. Defects can be corrected effectively.
7. DevOps helps in evolution from servers to containers.
8. Security check is performed frequently.
9. Any products can be created or improvised in a faster pace.
10. Transparency as easy communication can be done between teams.

Q – 3 – PLAN, CODE, BUILD, TEST, MONITOR, ACTION, DEPLOY, OPERATE, RELEASE.

Jenkins, Jira, git, sensu, ansible, chef, maven, gradle, splunk, saltstack, Nagios. etc..

Q – 4 – We can implement DevOps in many ways.

1. By first developing DevOps culture amongst the engineers.
2. Including more security and transparency.
3. Selection of proper tools.
4. Defining the process of the deployment.
5. Monitoring the status of organization
6. Continuous delivery, Testing and Integration plays a very important role.
7. Agile model monitoring
8. Automation plays a lead role to work between Development and Operations teams.