How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a DevOps developer with Azure DevOps with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending DevOps tech & tools in 2024
DevOps
What is a DevOps Engineer?
A DevOps engineer is an IT generalist who should have a wide-ranging knowledge of both development and operations, including coding, infrastructure management, system administration, and DevOps toolchains. DevOps engineers should also possess interpersonal skills since they work across company silos to create a more collaborative environment.
DevOps engineers need to have a strong understanding of common system architecture, provisioning, and administration, but must also have experience with the traditional developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests, and familiarity with agile principles.
Roles and Responsibilities
The role of a DevOps engineer will vary from one organization to another, but invariably entails some combination of:
- Release engineering
- Infrastructure provisioning and management
- System administration
- Security
- DevOps advocacy
Release Engineering
Release engineering includes the work required to build and deploy application code. The exact tools and processes vary widely depending on many variables, such as what language the code is written in, how much of the pipeline has been automated, and whether the production infrastructure is on-premise or in the cloud.
Release engineering might entail:
- Selecting, provisioning, and maintaining CI/CD tooling
- Writing and maintaining bespoke build/deploy scripts
Infrastructure Provisioning and System Administration
Infrastructure provisioning and system administration include deploying and maintaining the servers, storage, and networking resources required to host applications.
For organizations with on-premise resources this might include managing physical servers, storage devices, switches, and virtualization software in a data center. For a hybrid or entirely cloud-based organization this will usually include provisioning and managing virtual instances of the same components.
DevOps Advocacy
DevOps advocacy is often undervalued or overlooked entirely but is arguably the most important role of a DevOps engineer. The shift to a DevOps culture can be disruptive and confusing to the engineering team members. As the DevOps subject matter expert, it falls to the DevOps engineer to help evangelize and educate the DevOps way across the organization.
Top 7 DevOps Engineer Skills
Skill | Description |
---|---|
Communication and collaboration | It’s important for a DevOps engineer to communicate and collaborate effectively with teams, managers, and customers. These so-called “soft-skills” are often overlooked and undervalued, but the success of DevOps relies heavily on the quality and quantity of feedback across the entire value stream. |
System administration | A DevOps engineer will have experience with system administration, such as provisioning and managing servers, deploying databases, security monitoring, system patching, and managing internal and external network connectivity. |
Experience with DevOps tools | Since using the right tools are essential to DevOps practices, the DevOps engineer must understand, and be able to use, a variety of tools. These tools span the DevOps lifecycle from infrastructure and building, to monitoring and operating a product or service. |
Configuration management | DevOps engineers will often be expected to have experience with one or more configuration management tools such as Chef, Puppet, or Ansible. Many organizations have adopted these or similar tools to automate system administration tasks such as deploying new systems or applying security patches to systems already running. |
Containers and container orchestration | With containerization, a technology popularized by Docker, the code for the application and its runtime environment are bundled in the same image. This makes traditional configuration management tools less necessary. At the same time, managing containers brings its own challenges, and experience with the class of tools known as “container orchestrators” (e.g., Docker Swarm or Kubernetes) becomes a necessary skill for the DevOps engineer. |
Continuous integration and continuous deployment | Continuous integration and Continuous Delivery (CI/CD) are core practices of a DevOps approach to software development, and enabled by a host of available tools. The most fundamental function of any CI/CD tool or set of tools is to automate the process of building, testing, and deploying software. DevOps engineers will usually need experience with configuring and deploying one or more CI/CD tools, and will usually need to work closely with the rest of the development organization to ensure that these tools are used effectively. |
System architecture and provisioning | A DevOps engineer should have the ability to design, provision, and manage computer ecosystems, whether on-premise or in the cloud. |
Where is Azure DevOps used?
Automating the Snooze Button
- Developers used to hit the snooze button over and over on their morning alarms, just like they did with bug fixing. Azure DevOps swooped in like a caffeinated superhero, automating those tedious deployment pipelines, so no one skips a bug squash session ever again.
The 'Git' in Fit
- Remember when coders would play hot potato with version control? Azure DevOps got everyone in sync faster than an 80's boy band, with repo management that's tighter than a fresh perm.
Feedback Faster than a Teenager Texting
- Back in the dark ages, waiting for feedback was like waiting for dial-up. Now, Azure DevOps does continuous integration and delivery so quickly, clients can comment before developers have time to celebrate.
Where's Waldo: Code Edition
- Finding bugs used to be a game of 'Where's Waldo.' Azure DevOps introduced automated testing so specific, it pinpoints bugs with the accuracy of a hawk spotting a field mouse from 10,000 feet up.
Azure DevOps Alternatives
GitHub Actions
CI/CD tool integrated with GitHub for automation. Enables build, test, deploy within GitHub repos.
name: CI
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Run a one-line script
run: echo Hello, world!
- name: Run a multi-line script
run: |
echo Add other commands here
echo This is a multi-line script
- Deep integration with GitHub ecosystem
- Free for public repos
- Simple to set up
- Limited compute minutes for private repos
- Less customization compared to dedicated CI/CD services
- Primarily focused on GitHub
Jenkins
Open-source automation server that provides hundreds of plugins to support building and testing virtually any project.
pipeline {
agent any
stages {
stage('Build') {
steps {
echo 'Building..'
sh './gradlew build'
}
}
stage('Test') {
steps {
echo 'Testing..'
sh './gradlew test'
}
}
stage('Deploy') {
steps {
echo 'Deploying...'
sh './deploy.sh'
}
}
}
}
- Highly configurable and extendable
- Large plugin ecosystem
- Strong community support
- Requires maintenance and setup
- Steep learning curve
- UI is not as modern as competitors
GitLab CI/CD
GitLab's integrated CI/CD enables software professionals to automatically test and deploy their code within the GitLab platform.
stages:
- build
- test
- deploy
build_job:
stage: build
script:
- echo "Compiling the code..."
- gcc -o myapp source_code.c
test_job:
stage: test
script:
- echo "Running tests..."
- ./test_script
deploy_job:
stage: deploy
script:
- echo "Deploying application..."
- ./deploy_script
- Comprehensive DevOps solution integrated with Git
- Auto DevOps feature for automatic build, test, and deploy
- Integrated with GitLab's issue tracking
- Can be more expensive for larger teams
- May have a slower web interface
- Self-hosted solution requires infrastructure maintenance
Quick Facts about Azure DevOps
The Birth of Azure DevOps from Team Foundation Server
Once upon a time in the mystical land of Microsoft, there was a robust platform named Team Foundation Server (TFS), born in 2005. This platform aimed to make developers' lives less complicated, offering a suite for managing software development projects. Fast forward to 2018, TFS underwent a magical transformation to become what modern developers call a one-stop-shop for DevOps tooling: Azure DevOps. Its inception marked a pivotal chapter in Microsoft's crusade to dominate cloud services.
Breaking New Ground with Pipelines
Azure DevOps trumpeted a grand spectacle with the unveiling of Azure Pipelines. These aren't your grandma's plumbing pipes! Azure Pipelines is a continuous integration/continuous delivery (CI/CD) service that allows mere mortals to automatically build, test, and deploy their code from virtually any platform to any platform. Behold the power of infinite computing resources, enabling wizards and wizard-adjacent people to deploy 10 deployments a day or even hit the mythical 100-deployment-a-day mark!
Azure Repos - The Git of Tomorrow, Today!
Picture a world where code is king, and there's a kingdom vast enough to store repositories as far as the 'ls' command can list. Enter Azure Repos, the unlimited private Git storage realm in the cloud! Azure Repos blew the traditional Git hosting services out of the water, supporting gigantic repositories that would make your computer tremble if it dared to clone them. With file locking and advanced file management, it's like having a castle with a moat to protect your treasured code artifacts.
// Example commit to Azure Repos
git commit -m "Here be dragons: Adding the final touches to the space-cat laser app."
What is the difference between Junior, Middle, Senior and Expert Azure DevOps developer?
Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
---|---|---|---|
Junior | 0-2 | $50,000 - $70,000 |
|
Middle | 2-5 | $70,000 - $100,000 |
|
Senior | 5-10 | $100,000 - $130,000 |
|
Expert/Team Lead | 10+ | $130,000+ |
|
Top 10 Azure DevOps Related Tech
Git (Version Control)
Imagine a world where code is heaped up like your laundry pile—chaotic, right? Enter Git, the 'neat freak' that keeps your code versions tidier than a Marie Kondo-ed closet. It’s the bedrock of Azure DevOps, tracking every change and branching out like a well-pruned bonsai tree. Here's a starter command to clone a repository that even your grandma can use:
git clone https://github.com/your-repository.git
Azure Boards
Picture a hive of bees, every little bee zooming in on tasks, that's Azure Boards for you. It's a project management wizard, charming your tasks into neat boards, work items, and sprints, so you can keep track of your software feats as you go. Juggling tasks without it is like eating spaghetti with a straw—messy and sort of sad.
Azure Pipelines
Behold the magic pipelines, the Gandalf of CI/CD. Automagically turns your code commits into ready-to-deploy artifacts with spells like build, test, and release. Think of it as the express laundry chute for your code—drop it in, and voilà, it’s out the other end, clean and deployable.
trigger:
- main
pool:
vmImage: 'ubuntu-latest'
steps:
- script: echo Hello, Azure Pipelines!
Azure Repos
This is Git's fancy home within Azure DevOps, where your code repos sit like royalty on cloud thrones. It's private, secure, and more integrated than an over-enthusiastic Tetris game. Azure Repos is the code bank where your dollars are lines and your interest rate is measured in commits.
Azure Test Plans
Btn-smashing QA engineers, rejoice! Azure Test Plans is like having an army of robot testers at your beck and call, automating and executing tests faster than a caffeine-fueled hamster on a wheel. It’s about catching bugs the way you'd catch Pokémon—gotta test 'em all!
Azure Artifacts
Bippity, boppity, boom! Azure Artifacts turns your code nuggets into packages faster than a fairy godmother turning pumpkins into carriages. NuGet, npm, Maven, and more, it keeps your packages dancing together in perfect harmony like the von Trapps in Sound of Music.
Infrastructure as Code (IaC) with ARM Templates/Terraform
With IaC, you can script out your entire infrastructure like a playwright scripting a Broadway show. ARM Templates and Terraform are your pens, Azure is your stage. Spin up Azure resources like casting actors, and if they flub their lines, re-deploy! Here’s a taste of Terraform:
resource "azurerm_resource_group" "rg" {
name = "resourceGroupName"
location = "westus"
}
PowerShell/Bash Scripting
Master of the command line, with PowerShell or Bash, you wield the power to navigate, automate, and orchestrate Azure resources like a conductor with an orchestra. Just swap out your baton for scripts that work harmoniously to spin up services and wrangle deployments.
# PowerShell to get an Azure VM’s status
Get-AzVM -Name "VMName" -ResourceGroupName "ResourceGroupName" | Select -ExpandProperty Statuses
Docker & Kubernetes
Docker containers pack up your software snug as a bug while Kubernetes orchestrates the container dance, like a stage manager juggling cats. Together, they’re like a dynamic duo—Batman and Robin for your cloud-native apps. Suit up!
# Docker run example
docker run hello-world
# Kubernetes pod deployment snippet
kubectl create deployment hello-node --image=k8s.gcr.io/echoserver:1.4
Monitoring and Logging with Azure Monitor & Application Insights
Play the tech detective with Azure Monitor and Application Insights. Like Sherlock Holmes’s magnifying glass, these tools let you scrutinize logs and metrics to unearth perf mysteries. Manage what you measure, after all, visibility is key, especially when it's your app on the line.
// Query example in Application Insights
requests
| where timestamp > ago(1d)
| summarize requestCount=count() by bin(timestamp, 1h), success