Gerrit is a web-based code review tool, which is integrated with Git and built on top of the Git version control system (helps developers to work together and maintain the history of their work). It allows merging changes to the Git repository when you are done with the code reviews.
Step1: git
Before beginning with installing Gerrit, we need to be sure that git is installed and set up on our server. If by any chance, it is not already installed on your cloud server, you can get it quickly through apt-get:
sudo apt-get install git
Step2: java
To work, Gerrit requires Java to be installed on the server.
You can check if Java is already installed easily:
java -version
If it’s not, you can install it, once again, through apt-get:
sudo apt-get install default-jdk
Step3: Installing gerrit
Once Git and Java have been downloaded and installed on our server, we can start to set up Gerrit. The program itself is hosted on the Google Code site, but the latest version is 2.7
Once downloaded, we need to initialize Gerrit. You can do so with the command below.
However, should you be content with the default settings, you can have all of them selected at once with the — batch option. Additionally, while by default, Gerrit is set up within the user’s home directory, you can set up the specific directory where the files should be placed by adding a –d to the line.
The visible result should be something along the lines of:
http://(ipv4add):8080/
If you see localhost in your canonical URL, you should be able to access Gerrit through the server’s IP address.
Upon the first login, the page should look like this:
Now you can able in log in to your account.
So I hope this was very helpful and if you have any doubts or any questions you can write them down in the comment section below and I will try to answer you as soon as I can.
Terraform is a part of the AWS DevOps Competency and also an AWS Partner Network (APN) advanced technology partner. It is similar to AWS Cloud Formation in the sense that it is also an “infrastructure as code” tool that allows you to create, update, and version your AWS infrastructure.
2. What are the reasons for choosing Terraform for DevOps?
It can do complete orchestration and not just configuration management (like Ansible and Puppet).
Has amazing support from almost all the popular cloud providers like AWS, Azure, GCP, DigitalOcean, etc.
Easily manages the configuration of an immutable (dynamic) infrastructure.
Provide immutable infrastructure where configuration changes smoothly. Works on HCL (HashiCorp configuration language), which is very easy to learn and understand.
Easily portable from one provider to another.
Easy Installation.
3. What are the key features of Terraform?
Terraform helps you manage all of your infrastructures as code and construct them as and when needed. Here are its key main features:
A console that allows users to observe functions
The ability to translate HCL code into JSON format
A configuration language that supports interpolation
A module count that keeps track of the number of modules applied to the infrastructure.
4. Define IAC
Infrastructure as Code (IAC) allows one to code instead of using manual procedures to construct, alter, and maintain the infrastructure. The configuration files may be modified and transmitted securely within an organization built according to infrastructure standards.
5. Define Terraform init?
Terraform initializes the code using the command terraform init. This command is used to initialize the working directory containing Terraform configuration files. It is safe to run this command multiple times.
You can use the init command for:
Plugin Installation
Child Module Installation
Backend Initialization
6. What are the most useful Terraform commands?
Some of the most useful Terraform commands are:
terraform init — initializes the current directory
terraform refresh — refreshes the state file
terraform output — views Terraform outputs
terraform apply — applies the Terraform code and builds stuff
terraform destroy — destroys what has been built by Terraform
terraform graph — creates a DOT-formatted graph
terraform plan — a dry run to see what Terraform will do
7. Define Terraform provider?
Terraform is used to manage and inform infrastructure resources such as bodily machines, VMs, network switches, containers, and more. A provider is accountable for thoughtful API interactions and revealing resources. Terraform supports a large number of cloud providers.
8. Why is Terraform used for DevOps?
Terraform uses a JSON-like configuration language called the HashiCorp Configuration Language (HCL). HCL has a very simple syntax that makes it easy for DevOps teams to define and enforce infrastructure configurations across multiple clouds and on-premises data centers.
9. Name some major features of Terraform?
Execution Plan
Change Automation
Resource Graph
Infrastructure as code
10. Define null resource in Terraform.
null_resource implements standard resource library, but no further action is taken. The triggers argument allows an arbitrary set of values that will cause the replacement of resources when changed.
11. What is a Terraform cloud?
The platform which allows teams to collaborate on Terraform projects on-demand or in reaction to specific circumstances is the Terraform cloud. It is tightly connected with Terraform’s processes and data. Terraform modules are shared by a private registry.
12. Describe the working of Terraform core?
The terraform core looks at the configuration monitoring and creates analysis and evaluation based on the configuration. It keeps track and compares the versions (current and previous) and then display the output through the terminal.
Terraform core mainly takes two inputs:
Terraform Configuration — It keeps track of the infrastructure detail
Terraform state — It keeps track of the infrastructure status.
So I hope this was very helpful and if you have any doubts or any questions you can write them down in the comment section below and I will try to answer you as soon as I can.
Azure Service Bus is a secure, highly available & reliable Platform-as-a-service (PaaS) enterprise integration message broker for asynchronous transfer of data between applications. It supports Advanced Message Queuing Protocol (AMQP) which is a TCP-based efficient and reliable open protocol and makes a solution vendor-neutral. A developer can use different client libraries to connect to the message broker.
A sender sends messages to the queue. Queue sends back the ACK receipt after successfully replicating the message. On the other side, A receiver connect to the queue to retrieve a message and after completing the processing, it sends back an ACK for message deletion. A message can be moved into a Dead-letter queue (DLQ) to discard or later consumption, in case of an error.
Use Case for Service Bus
It is useful when an application wants to send a message to other applications and expect them to perform a specific action eg processing order or perform a series of workflow after a user is added to a resource group.
Azure Service Bus supports various advanced queuing operations and some of the key differentiating capabilities are:
Azure Event Grid is a managed event routing service that routes events from Azure and non-Azure resources. It distributes the events to registered subscriber endpoints. Event Grid distributes events from different sources to different handlers, such as Azure Functions or logic apps.
Azure services have predefined topics to which messages could be published. These messages are available for subscription from the appropriate source. For custom topics, you simply create your Event Grid topic and then begin publishing and setting up subscriptions. The topic has an endpoint to publish messages and a set of keys for secure access.
The use case for Event Grid
Use an event grid when you want to implement the PUSH model i.e. you want to avoid long polling. Instead, events are routed immediately to an endpoint that you specify. In many cases, it can also lead to cost savings because it removes the overhead of polling on a regular basis and instead triggers code only when it is needed to consume an event. For example, you want to take action when a new user is added to the resource group or a file is uploaded to blob storage.
When to use Event Grid and when to use Service Bus
Message
A message is a raw data or payload that is been generated by the producer for the target consumers and persist until consumed or expired. The publisher expects the message to be consumed by the targeted consumer and likely wants some kind of response or action to occur. A contract exists between the producer and the consumer. For example, the publisher sends a message with some data and expects the consumer to generate some report from the data and send back a response when completed.
Event
An event is a lightweight message for the notification of a change in state. The event data has information only about what has happened and not the data that triggered the event. The publisher of the event has no expectations about the handling of the event. The consumer decides on what to do with the particular event. There can be ZERO or more subscribers that will receive each event. For example, an event may be generated when a file is created and have information about the file, but not the file content.
In simpler words, in a message-driven system publisher knows the intended consumers, whereas in an event-driven system the consumer decides what events it wants to subscribe to.
Now we understand events let's discuss how the Service Bus is different from the Event Grid, in the tabular format.
Conclusion
In short, both these services are used for delivering events and messages throughout a solution and have many similarities. However, each service is designed for certain scenarios and can be used based on necessity.
Use Azure Event Grid when you need dynamic scaling to process millions of events with high throughput, velocity, and near-real-time. The Event Handler is capable to handle the load and provide enough throttling to protect from failure.
Use Service Bus when you need to have full control of the pace of processing the messages, need advanced features like transactional support, sessions, FIFO, duplicate detection, etc., and require the consumer to make sure of a taking some action on the message.
Here is a list of the top 10 editing languages compiled with the help of the developer's annual Stack Overflow survey and my personal information should help give you ideas.
Especially if you are looking for a job at major investment banks like Goldman, Citi, Morgan, JP Morgan, Barclays, etc., or in service companies such as Infosys, Wipro, Cognizant, Luxsoft, etc., that work for these major financial institutions.
1. Java [the best programming language for backend development] Java is the language most widely used in investment banks. Go to any search website like Monster.com or FinancialCareer.com and you will find a list of many banking services like Goldman, Morgan, Citi, and others that require Java skills.
Java is used everywhere and in different parts of the bank, but mainly in building server-side applications running on Linux.
One of the main reasons why Investment banks prefer Java for its compliance features. Java has built-in learning support for much-needed performance, the most important applications for missions in banks. So, make sure you spend a good time learning Concurrency in Java.
2. C-Sharp [excellent programming language for GUI development] C # and .NET are also popular in investment banks, especially for creating a customer-side GUI. Previously it was Java Swing but C # and .NET are now selected for any Windows-based GUI application.
Considering the PC and Web GUI improvements, C # is a good option. It is also the programming language of the .NET framework, not to mention the most widely used game development in both PC and consoles.
3. C / C ++ [excellent embedded programming language] C ++ is another major language used in Investment banks and other buying companies. It is widely used in creating low-cost business applications where performance is important.
Both C and C ++ are evergreen languages, and many of you probably know them in school. But if you are doing important work in C ++, I can assure you that your educational knowledge will not be enough.
4. Javascript [the best editing language for web development] Whether you believe it or not, JavaScript is the first language of the web. The rise of frameworks such as jQuery, Angular, and React JS has made JavaScript even more popular. Since you can not just stay away from the web, it is better to learn JavaScript faster than ever.
It is also the first language to verify the client-side, which makes it possible to read JavaScript.
5. Python [an excellent programming language for Data Science] Python has now broken Java into a widely-used programming language at universities and courses.
The language is very powerful and very good for producing texts. You will find a python module for everything you can think of.
6. Kotlin [the best programming language for Android app development] If you think seriously about Android app development, Kotlin is the programming language you can learn this year. It really is the next big thing happening in the Android world.
Although Java is my preferred language, Kotlin has traditional support, and many IDEs like IntelliJ IDEA and Android Studio support Kotlin for Android development.
7. Golang [the best programming language for server development] This is another language of planning you may want to learn this year. I know it is currently not very popular and at the same time it can be difficult to read, but I feel that its use will increase by 2022.
There are also not many Go developers right now, so you may really want to keep biting, especially if you want to create frameworks and things like that. If you can invest some time and become an expert at Go, you will have a great need.
8. Swift [the best programming language for iOS application development] If you are thinking about the development of iOS-like making iPhone and iPad apps, you should think seriously about reading Swift in 2022.
It replaces Objective C as the preferred language for improving iOS applications. As an Android guy, I have no goal with regard to Swift, but if you do, you can start with iOS and Swift 5 — Bootcamp Complete iOS Application Boot.
9. Rust [excellent planning language for improving real-time systems] To be honest, I don’t know as much about rust as I’ve ever used before, but it took me home the ‘most popular programming language’ award in Stack Overflow developer research, so obviously there’s something to learn here.
10. PHP [excellent web design editing language] If you thought PHP was dead, it means you are wrong. He is still alive and kicking. Fifty percent (50%) of websites are built using PHP, and although they are not on my personal list of learning languages this year, it is still a good decision if you do not know.
Conclusion These are some of the best planning languages you can learn in 2022. Many of these programming languages are sufficient to secure the software developer work at major Investment banks such as Goldman, Morgan, Barclays, or HSBC.
Yes, it has some common suspicions but Java and C ++ are the top 2 languages for getting engineer work in these big financial giants.
Even if you learn one programming language other than the one you use every day, you will still be in a good position to grow your career. The most important thing right now is to make your goal and do your best to stick to it. Exciting reading!
Good luck with your Programming t journey! It’s certainly not going to be easy, but by following this list, you are one step closer to becoming the Software Developer
o I hope this was very helpful and if you have any doubts or any questions you can write them down in the comment section below and I will try to answer you as soon as I can.
