Mariusz is a Community Manager at Spacelift. He is passionate about automation, DevOps, and open source solutions. In his free time, he enjoys car detailing, swimming and nonfiction books.

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Mariusz Michalowski

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AWS Guides and Tutorials | Spacelift Blog

Given the transformational effect of the public cloud on how we live and do business, it’s hard to believe that commercial cloud services only emerged in 2006. That’s when Amazon launched AWS, with the release of Simple Storage Service (S3), Simple Queue Service (SQS),  and Elastic Compute Cloud (EC2), and it continues to dominate the cloud provider market today.
So just who uses AWS — and how? We’ll share a list of the biggest AWS customers, some monthly spending figures, the key services these enterprises spend their AWS budget on, and how they use AWS. We’ll also get into the details of how AWS is dominating the global cloud provider market. But first, a little background on why AWS is the giant of cloud providers.
We will cover:
<ol>
<li><a href="https://spacelift.io/blog/who-is-using-aws#why-is-aws-the-worlds-biggest-cloud-provider">Why is AWS the world’s biggest cloud provider?</a></li>
<li><a href="https://spacelift.io/blog/who-is-using-aws#who-uses-aws">Who uses AWS?</a></li>
<li><a href="https://spacelift.io/blog/who-is-using-aws#aws-customers-list">AWS Customers List</a></li>
<li><a href="https://spacelift.io/blog/who-is-using-aws#who-are-the-big-spenders-on-aws">Who are the big spenders on AWS?</a></li>
<li><a href="https://spacelift.io/blog/who-is-using-aws#how-do-companies-use-aws">How do companies use AWS?</a></li>
<li><a href="https://spacelift.io/blog/who-is-using-aws#just-how-big-is-aws">Just how big is AWS?</a></li>
</ol>

<h3>1. Timing</h3>
As the first entrant into the cloud market, AWS had the advantage of being able to snap up major, data-heavy customers such as Netflix and AirBnB. And with adoption comes inertia: Once companies had decided to use AWS, they were slow to consider moving to a competitor.
<h3>2. Innovation</h3>
But it’s not just about being first. AWS has spent its time at the top innovating and refining. Early offerings such as EC2, S3, Virtual Private Cloud (VPC), and Elastic Block Store (EBS) now cater to organizations of every scale, and the company is constantly updating and releasing services to meet the needs of all industries and verticals. 
Longtime market domination means many developers have grown to love AWS and are slow to use any other cloud provider. AWS rewards this loyalty with increasingly versatile and reliable services. Products such as Amazon Deep Lens, Amazon Sagemaker, and Amazon Sumerian are leagues ahead of competitors in terms of innovation. 
<h3>3. Capacity</h3>
AWS has a far more extensive infrastructure than other cloud providers, giving customers access to almost limitless compute and storage resources. This is a significant consideration for large and scaling companies, who need to be able to rely on a cloud provider who can deliver what they need at short notice. Customers use AWS tools, Auto Scaling, and Elastic Load Balancing to scale applications as demand dictates. With its bank of big-name customers, AWS also has significant experience looking after major enterprises. 
<h3>4. Consistency</h3>
Cloud customers need stability. AWS delivers that in spades, with a scalable, reliable, and secure global computing infrastructure. It has expanded its geographic spread into important regions, ensuring serviceability and uptime. Customers know they can spin up compute instances incredibly quickly if they need to scale at a moment’s notice.

According to a <a href="https://hginsights.com/data-report/hg-insights-intricately-aws-ecosystem-report-in-2022" target="_blank" rel="noopener">2022 Intricately report</a>, AWS has a customer base of 1.45 million businesses. Its customers include companies of all sizes spread across multiple regions, but it does tend to focus on startups. This focus aligns with the company’s public statements about its strategy of “getting in early” with new companies in a bid to expand their usage as the startups’ needs grow. These efforts are paying off: Startups and SMBs are the fastest-growing segment in AWS’s customer base, with a year-on-year growth rate of 42.2 %.
Internet industries represent the largest proportion of customers, with more than 123,000 customers. Media is the next biggest industry segment, with 48,807 customers.

<table>
<tbody>
<tr>
<td>Name</td>
<td>Industry</td>
<td>Region</td>
</tr>
<tr>
<td>3M</td>
<td>Manufacturing</td>
<td>United States</td>
</tr>
<tr>
<td>Airbnb</td>
<td>Travel</td>
<td>United States</td>
</tr>
<tr>
<td>Canva</td>
<td>Software &amp; Internet</td>
<td>Australia</td>
</tr>
<tr>
<td>Coca-Cola</td>
<td>Consumer Packaged Goods (CPG)</td>
<td>Americas</td>
</tr>
<tr>
<td>Formula 1</td>
<td>Automotive</td>
<td>United Kingdom</td>
</tr>
<tr>
<td>GoDaddy</td>
<td>Software &amp; Internet</td>
<td>United States</td>
</tr>
<tr>
<td>Goldman Sachs</td>
<td>Financial Services</td>
<td>United States</td>
</tr>
<tr>
<td>Heineken</td>
<td>Consumer Packaged Goods (CPG)</td>
<td>Benelux</td>
</tr>
<tr>
<td>Johnson &amp; Johnson</td>
<td>Life Sciences</td>
<td>United States</td>
</tr>
<tr>
<td>LaunchDarkly</td>
<td>Software &amp; Internet</td>
<td>United States</td>
</tr>
<tr>
<td>MAN</td>
<td>Automotive</td>
<td>Germany</td>
</tr>
<tr>
<td>McAfee</td>
<td>Software &amp; Internet</td>
<td>United States</td>
</tr>
<tr>
<td>Moderna</td>
<td>Life Sciences</td>
<td>United States</td>
</tr>
<tr>
<td>Netflix</td>
<td>Media &amp; Entertainment</td>
<td>United States</td>
</tr>
<tr>
<td>Okta</td>
<td>Software &amp; Internet</td>
<td>United States</td>
</tr>
<tr>
<td>Panasonic</td>
<td>Manufacturing</td>
<td>United States</td>
</tr>
<tr>
<td>Pinterest</td>
<td>Digital Marketing</td>
<td>United States</td>
</tr>
<tr>
<td>Salesforce</td>
<td>Healthcare</td>
<td>United States</td>
</tr>
<tr>
<td>Samsung Electronics</td>
<td>Electronics &amp; Semiconductor</td>
<td>Korea</td>
</tr>
<tr>
<td>Siemens</td>
<td>Manufacturing</td>
<td>Germany</td>
</tr>
<tr>
<td>ŠKODA</td>
<td>Automotive</td>
<td>Czech Republic</td>
</tr>
<tr>
<td>Snap</td>
<td>Software &amp; Internet</td>
<td>United States</td>
</tr>
<tr>
<td>Starbucks</td>
<td>Hospitality</td>
<td>North America</td>
</tr>
<tr>
<td>State Farm</td>
<td>Financial Services</td>
<td>United States</td>
</tr>
<tr>
<td>Thomson Reuters</td>
<td>Media &amp; Entertainment</td>
<td>United States</td>
</tr>
<tr>
<td>Toyota</td>
<td>Automotive</td>
<td>United States</td>
</tr>
<tr>
<td>TUI</td>
<td>Hospitality</td>
<td>Germany</td>
</tr>
<tr>
<td>Vanguard</td>
<td>Financial Services</td>
<td>United States</td>
</tr>
<tr>
<td>Verizon</td>
<td>Telecommunications</td>
<td>North America</td>
</tr>
<tr>
<td>Warner Bros. Discovery</td>
<td>Media &amp; Entertainment</td>
<td>United States</td>
</tr>
<tr>
<td>Wealthfront</td>
<td>Financial Services</td>
<td>United States</td>
</tr>
<tr>
<td>Zalando</td>
<td>Retail &amp; Wholesale</td>
<td>Germany</td>
</tr>
<tr>
<td>Zomato</td>
<td>Hospitality</td>
<td>India</td>
</tr>
</tbody>
</table>

the-biggest-aws-spenders

the biggest aws spenders

According to <a href="https://www.intricately.com/" target="_blank" rel="nofollow noopener">Intricately</a>, some of the biggest spenders on AWS based on estimated EC2 monthly spend are:
<ul>
<li style="font-weight: 400;" aria-level="1">Sony $11M</li>
<li style="font-weight: 400;" aria-level="1">Adobe: $7.5M</li>
<li style="font-weight: 400;" aria-level="1">Facebook: $5.6M</li>
<li style="font-weight: 400;" aria-level="1">Johnson &amp; Johnson: $5M</li>
<li style="font-weight: 400;" aria-level="1">3M: $5M</li>
<li style="font-weight: 400;" aria-level="1">Coca-Cola: $5M</li>
<li style="font-weight: 400;" aria-level="1">Twitter: $3.7M</li>
<li style="font-weight: 400;" aria-level="1">Netflix: $2.4M</li>
<li style="font-weight: 400;" aria-level="1">ESPN: $2M</li>
<li style="font-weight: 400;" aria-level="1">Reddit $2M</li>
<li style="font-weight: 400;" aria-level="1">Twitch: $1.3M</li>
<li style="font-weight: 400;" aria-level="1">Samsung: $1.2M</li>
<li style="font-weight: 400;" aria-level="1">Walt Disney: $1.2M</li>
<li style="font-weight: 400;" aria-level="1">Okta: $1M</li>
<li style="font-weight: 400;" aria-level="1">Canva: $981K</li>
</ul>
So what are these companies spending their AWS budget on? The leading AWS services include:
<ul>
<li style="font-weight: 400;" aria-level="1">AWS EC2</li>
<li style="font-weight: 400;" aria-level="1">AWS Lambda</li>
<li style="font-weight: 400;" aria-level="1">Amazon Redshift</li>
<li style="font-weight: 400;" aria-level="1">Amazon S3</li>
</ul>

<h3>Amazon EC2:</h3>
Initially released in 2006, <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html" target="_blank" rel="nofollow noopener">Amazon Elastic Compute Cloud (Amazon EC2)</a> is a key building block of the public cloud. Allowing users to develop and deploy applications without having to purchase hardware, it enables scalable computing capacity in the AWS cloud. You can use Amazon EC2 to launch virtual machines, configure security and networking, and manage storage. This makes it easier to scale in and out with Autoscaling Groups and scale up or down as demands change.
<h3>AWS Lambda:</h3>
<a href="https://aws.amazon.com/lambda/" target="_blank" rel="nofollow noopener">AWS Lambda</a> is a serverless, event-driven compute service, which means that it runs code in response to events while managing the backend infrastructure and performing all of the administration of the compute resources required to do that. The developer can focus on their code, while AWS takes care of everything else. 
Lambda was first released in 2014, and it has become one of AWS’s most popular products in the decade since. This is largely because it is applicable to a wide range of different scenarios, is easy to set up, and costs little to operate. 
<h3>Amazon Redshift:</h3>
<a href="https://aws.amazon.com/redshift/" target="_blank" rel="nofollow noopener">Amazon Redshift</a> is the AWS data warehousing program. Perfect for handling massive amounts of data, it can process structured and unstructured data in volumes up to an exabyte (that is huge — a billion gigabytes). You can also use the service for large-scale data migrations, offering users several options for importing data. Easy to set up, it offers the security of continuous encryption. Redshift&#8217;s main selling point is the ability to sift all that data for important insights. 
<h3>Amazon S3:</h3>
<a href="https://aws.amazon.com/s3/" target="_blank" rel="nofollow noopener">Amazon Simple Storage Service (S3)</a> is a scalable, secure, and performant object storage service. Its wide range of features makes it possibly the most popular cloud storage solutions available. Market behemoths including Sysco and Nielson have harnessed some of these features to help scale and optimize their businesses, but its biggest attraction is its cost-effectiveness. For example, <a href="https://aws.amazon.com/blogs/storage/shutterstock-transforms-it-and-saves-60-on-storage-costs-with-amazon-s3/" target="_blank" rel="nofollow noopener">Shutterstock saved 60%</a> on storage costs when it switched to Amazon S3.

<ul>
<li><a href="https://spacelift.io/blog/introducing-spacelift-self-hosted" target="_blank" rel="noopener">SaaS not an Option? Install Spacelift Self-Hosted on AWS</a></li>
<li><a href="https://spacelift.io/blog/infrastructure-problems-that-spacelift-solves" target="_blank" rel="noopener"><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Common Infrastructure Challenges and How to Solve Them&quot;}" data-sheets-userformat="{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}">Common Infrastructure Challenges and How to Solve Them</a></li>
<li><a href="https://spacelift.io/blog/why-devops-engineers-recommend-spacelift" target="_blank" rel="noopener">Why DevOps Engineers Recommend Spacelift</a></li>
</ul>

The range of applications for AWS are almost as vast as the cloud itself. However, the general experience for organizations that leverage AWS effectively is for speed and efficiency to soar while time spent on deployments plummets. Here are some examples:
<ul>
<li style="font-weight: 400;" aria-level="1"><a href="https://aws.amazon.com/solutions/case-studies/autodesk-innovyze-case-study/" target="_blank" rel="nofollow noopener">Innovyze</a>, a software company acquired by Autodesk in March 2021, used AWS to develop three cloud-native software-as-a-service (SaaS) products to help water utility companies gain an improved understanding of the quality of water management systems and water/wastewater treatment plants. Moving data from on-premises to a SaaS solution cut time to market and deployment time and increased scalability exponentially.</li>
</ul>
<ul>
<li style="font-weight: 400;" aria-level="1">Between December 2021 and January 2022, the sports gaming company FanDuel Group (<a href="https://aws.amazon.com/solutions/case-studies/fanduel-cloudfront-case-study/" target="_blank" rel="nofollow noopener">FanDuel</a>) migrated four live-stream linear channels to AWS. Previously, its third-party video-streaming vendor was unable to manage the 24/7 live streams that enabled near-real-time betting for its customers, and the prospect of continued growth prompted FanDuel to turn to AWS Cloudfront to help it scale without negatively affecting the viewing experience. Cloudfront is a content delivery network service designed for exceptional performance, scalability, security, and developer convenience.</li>
</ul>
<ul>
<li style="font-weight: 400;" aria-level="1"><a href="https://aws.amazon.com/solutions/case-studies/innovators/toyota/?did=cr_card&amp;trk=cr_card" target="_blank" rel="nofollow noopener">Toyota</a> uses AWS to innovate across its vast business. Toyota North America leverages a next-generation data lake built on AWS using Amazon S3, AWS Glue, and Amazon Redshift to gather and analyze data from various manufacturing plants. This cloud-based insights solution helps it keep track of the history of every vehicle’s manufacture, make supply chain decisions, and provide better customer service.</li>
</ul>
<ul>
<li style="font-weight: 400;" aria-level="1">As its customer base and services grew, transportation company <a href="https://aws.amazon.com/solutions/case-studies/scania-case-study/" target="_blank" rel="nofollow noopener">Scania</a> realized its on-premises servers lacked the power to handle the escalating traffic for its connected-truck services — Internet of Things (IoT) products that capture vehicle data in near real time for sending new instructions and data back to vehicles. Using products such as AWS Lambda, Scania can scale as required with reduced latency and enhanced security. The company has also used AWS services to develop a new hybrid design for maintaining network connections with telecom operators.</li>
</ul>
<ul>
<li style="font-weight: 400;" aria-level="1">Online fashion and lifestyle business <a href="https://aws.amazon.com/solutions/case-studies/zalando-case-study/?did=cr_card&amp;trk=cr_card" target="_blank" rel="nofollow noopener">Zalando</a> enhanced both developer control and customer experience when it migrated its media management solution to Amazon CloudFront. Developer visibility and control were crucial factors for the company to ensure continued growth and differentiated customer experience, and CloudFront delivered that, enhancing the media management and delivery architectures that determine shopper experience.</li>
</ul>
<ul>
<li style="font-weight: 400;" aria-level="1"><a href="https://aws.amazon.com/solutions/case-studies/salesforce-case-study/?did=cr_card&amp;trk=cr_card" target="_blank" rel="nofollow noopener">Salesforce</a>’s Unified Intelligence Platform (UIP) Team wanted to enhance the analysis and processing of data in a cost-effective, efficient way for the petabyte-level data lake it manages. It used a mix of instance-provisioning models from Amazon Elastic Compute Cloud (Amazon EC2) to build a scalable, elastic compute infrastructure. This enhanced compute infrastructure processes twice as much data in less time and saves Salesforce more than $1 million monthly.</li>
</ul>

<a href="https://www.gartner.com/en/newsroom/press-releases/2023-04-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-reach-nearly-600-billion-in-2023#:~:text=Worldwide%20end%2Duser%20spending%20on,latest%20forecast%20from%20Gartner%2C%20Inc." target="_blank" rel="noopener">According to Gartner</a>, worldwide investment in public cloud services grew to $491 billion in 2022. Despite the best efforts of providers like Alibaba, IBM, and Oracle, the <a href="https://www.statista.com/statistics/967365/worldwide-cloud-infrastructure-services-market-share-vendor/" target="_blank" rel="noopener">big three are still dominating the market</a>. In the last quarter of last year, AWS controlled 32% of the cloud infrastructure services market, trailed by Microsoft Azure with 23% of the market and Google Cloud with 10%. 
<h3>Revenue</h3>
AWS is <a href="https://fourweekmba.com/aws-revenues/#:~:text=Amazon%20AWS%20(cloud)%20is%20the,%2423%20billion%20in%20operating%20profit." target="_blank" rel="noopener">Amazon’s most successful business segment</a>, generating a whopping $80 billion in revenue in 2022 and close to $23 billion in operating profits. This is up from an impressive $62 billion in revenue in 2021 and $18.5 billion in net profits.
<h3>Users</h3>
As the world’s most widely adopted cloud, AWS offers some 200 fully featured services from data centers spread across the globe. It has millions of customers on its books, including the most ambitious startups, biggest enterprises, and top government agencies — all seeking to work more efficiently, become more agile, and innovate faster.
AWS also nurtures a dynamic community of millions of active customers and thousands of partners who work together to run every imaginable kind of AWS use case. The <a href="https://aws.amazon.com/partners/" target="_blank" rel="nofollow noopener">AWS Partner Network (APN)</a> includes more than 100,000 partners based in 150-plus countries, who work to help customers leverage AWS as their cloud usage becomes more sophisticated. They use AS to deliver inventive solutions for customers, resolve technical issues and provide real business value. 
In addition, the <a href="https://aws.amazon.com/partners/programs/isv-accelerate/" target="_blank" rel="nofollow noopener">AWS ISV Accelerate Program</a> caters for organizations that provide software solutions that run on or integrate with AWS. The program helps generate new business and boost sales cycles for independent software vendors (ISVs) by connecting them with the AWS Sales organization for co-sell support and benefits. 
<h3>Global reach</h3>
Given its market dominance, it’s hardly surprising that <a href="https://aws.amazon.com/about-aws/global-infrastructure/" target="_blank" rel="nofollow noopener">AWS has the biggest international infrastructure footprint</a> of any cloud provider. The AWS Cloud covers 99 Availability Zones across 31 geographic regions around the globe, and there are plans to launch 15 more Availability Zones and 5 more AWS Regions.
This means that when you deploy your applications and workloads to the AWS cloud, you can choose the technology infrastructure nearest your main target of users. Your workloads can run on the cloud that offers optimal support for the widest range of applications.

Using AWS, cloud-native infrastructure management platform <a href="https://aws.amazon.com/solutions/case-studies/spacelift-case-study/" target="_blank" rel="noopener">Spacelift has helped customers reduce the time they spend on manual infrastructure maintenance tasks</a> by 90%. Measures such as automating security and data privacy configurations enable the company to slash the time required to manage these issues by a factor of 10 compared to performing the tasks manually.
<a href="https://spacelift.io/how-it-works" target="_blank" rel="noopener">Spacelift</a> helps businesses leverage the skills of scarce technical resources by simplifying the management of complex cloud environments, enabling DevOps and engineering talent to spend their time more effectively. It works with AWS to ensure optimal reliability, security, and compliance for its platform. 
It is now part of the AWS ISV Accelerate co-sell program, and businesses can also download and deploy its solution from AWS Marketplace.

AWS continues to dominate the cloud provider market and shows no signs of losing ground to its competitors. As the first entrant to the market, it had an immediate advantage, but it has maintained and reinforced its position by leading the way in innovation, capacity, and consistency.
Pioneers in their industries such as Salesforce, Scania and Zalando have partnered with AWS to leverage their data to enhance the developer and customer experience and edge even further ahead of their competitors. Companies like Spacelift partner with AWS to streamline cloud management for users. 
As other cloud providers intensify their efforts to gain market share, AWS is unlikely to stop rolling out the innovative updates that make it such a compelling leader in this space.

<span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;Spacelift is an alternative to using homegrown solutions on top of a generic CI. It helps overcome common state management issues and adds several must-have capabilities for infrastructure management.&quot;}" data-sheets-userformat="{&quot;2&quot;:769,&quot;3&quot;:{&quot;1&quot;:0},&quot;11&quot;:4,&quot;12&quot;:0}">Spacelift is an alternative to using homegrown solutions on top of a generic CI. It helps overcome common state management issues and adds several must-have capabilities for infrastructure management.

AWS Cost Optimization - Best Practices and Tools

Scaling AWS Infrastructure - Tools and Features

Getting Started with Spacelift Self-Hosted on AWS

See a list of the biggest AWS customers, monthly spending figures, the key services they spend their AWS budget on, and how they use AWS.

224-who-is-using-aws-2023

Who's Using Amazon Web Services?

Who's Using Amazon Web Services? [2023]

How to Become a DevOps Engineer in Six Months

General | Spacelift Blog

General

The term DevOps is used as a massive catchall for several different tech-job scenarios and skills. But essentially it boils down to building useful tools for your internal customers.
DevOps as a career can be rewarding in many ways. First, there’s the <a href="https://www.glassdoor.com/Salaries/devops-engineer-salary-SRCH_KO0,15.htm" target="_blank" rel="noopener">average salary of $105,000</a> to <a href="https://www.ziprecruiter.com/Salaries/What-Is-the-Average-Devops-Engineer-Salary-by-State" target="_blank" rel="noopener">$114,000</a>, spiking to over $160,000 at the top end. Then there’s the swift job growth, estimated at over 20% per decade, with over <a href="https://www.linkedin.com/jobs/devops-jobs" target="_blank" rel="nofollow noopener">118,000 openings listed on LinkedIn</a> right now.
Plus, DevOps beats the daily grind of “same old, same old,” thanks to its fast-paced, system-support setup. In this article, we share how to become a DevOps engineer — the systems administrator who just happens to be a coder that develops internal tools as well. You’ll learn about the mindset, tools, and skills you’ll need to master, and also how to get a DevOps job.
Before you start though, is DevOps the right choice for you? See our guide: <a href="https://spacelift.io/blog/who-is-devops-engineer" target="_blank" rel="noopener">Is it Worth it to Become a DevOps Engineer?</a>

DevOps is a mix of development (Dev) and operations (Ops). Beyond that, it’s all the connected tools and disciplines of both of those business areas that let an organization deliver services and software applications at high speed, so they can better serve their customers.
The Microsoft-approved definition of DevOps is “the union of people, processes and technology to continually provide value to customers.” Both definitions are open to interpretation, but DevOps centers around writing code that pulls together customers (internal and external), and business processes.
Sometimes, DevOps engineering means just “being that go-to employee” who can quickly and efficiently write code to address an engineering issue. In other words, in some organizations, DevOps is the indispensable IT employee who knows how to write effective code.

The question of how to become a DevOps engineer has a relatively straightforward answer. With that said, you’ll need to bring a few things to the table. First and most important to the DevOps career path is a passion for learning, knowledge, and logic.

DevOps engineers need to be able to read between the lines in their customers’ requirements. They also have to produce software and services that meet those requirements in a usable, testable form. Since development doesn’t happen in a vacuum, you’ll also need leadership and management skills, along with a cool head under pressure.

When most DevOps hiring managers look for a new employee, they’re more concerned with mindset than with tools. If you’ve got a tech background, you’re willing to learn, and you’re an engineer at heart, you’ve already got the basics of a DevOps career.
DevOps engineers are curious, constantly improving their skillsets, and focused on lifelong learning. So while you can build the core skillset in a few months, your main driver should be on learning, with a goal of providing massive value to your next employer.
Learn to understand systems and processes, and you have the right mindset. That mindset will help you learn how to start a career in DevOps, and more important, how to be a good DevOps engineer.

It takes about six months to become a DevOps engineer, assuming you have some basic Linux admin and networking skills, and that you apply the DevOps engineer learning path outlined below. With that said, that career won’t just happen overnight. The length of time required depends on several factors, including your mindset, your current skill level, and your career position.
With that caveat, there’s no shortage of free tools and resources you can use to help you on your journey. Some professional DevOps engineering sites even offer free or vastly reduced exams to help you grow and prove your worth.  Let’s dig into how to become a DevOps engineer, starting with the tools and skills.

Let&#8217;s take a look at the DevOps Roadmap. To become a DevOps engineer, at the bare minimum you’ll need basic Linux admin and networking skills, plus some scripting fundamentals, along with the following DevOps skills:
<h3>1. Intermediate to advanced Linux skills</h3>
In DevOps, you’re not installing a server once and then logging in every now and then to perform a few admin tasks. You need to understand how to create highly customized Linux images from the ground up, both for VM and container use cases — unless you plan to become a Windows Server DevOps engineer.
<h3>2. Intermediate networking skills</h3>
In DevOps there’s no “network team.” All network resources are software-defined. In other words, networks are part of infrastructure as code. At a bare minimum, you’ll need a solid grasp on the OSI model, IPV4, subnetting, static and stateful firewalling, and DNS. These skills are usually included in advanced cloud certifications.
<h3>3. A commitment to at least one cloud</h3>
Clouds aren’t merely managed data centers. In order for you to automate workloads in a given cloud (AWS, Azure, GCP, etc.), you need a firm grasp of their specific semantics. You’ll need to know what resources are available, how they’re organized, and what properties they have. 
<h3>4. Infrastructure automation</h3>
Once you understand the resources (and their properties) applicable to a cloud, you’re ready to automate their creation using tools such as <a href="https://spacelift.io/blog/what-is-terraform" target="_blank" rel="noopener">Terraform</a> and <a href="https://spacelift.io/blog/ansible-tutorial" target="_blank" rel="noopener">Ansible</a>.
<h3>5. SDLC, CI/CD pipelines, and scripting</h3>
In DevOps, we deliver infrastructure in a similar way to applications. So — you’ll need to be acquainted with the fundamentals of the software development life cycle (SDLC). This includes versioning strategies using source control code management systems like Git, and CI/CD pipelines such as <a href="https://spacelift.io/blog/circleci-vs-jenkins" target="_blank" rel="noopener">Jenkins and CircleCI</a>. Advanced automation tasks may prove difficult through shell scripts alone. You’ll often require more powerful scripting using the likes of Python, Perl, or Ruby. 
<h3>6. Container technology</h3>
For legacy workloads you may automate the creation of a VM image. But for new applications you’ll be working with containers. As such, you need to know how to build your own Docker images (Linux skills required!) and deploy them using Kubernetes. FaaS technology like AWS Lambda also uses container technology behind the scenes.
<h3>7. Observability technology</h3>
While all clouds have monitoring dashboards and standard “telemetry” hooks, most large employers use third-party (both commercial and open source) monitoring tools such as Prometheus, DynaTrace, Datadog, or the ELK stack.
Beyond that skills list, tool-building in DevOps requires a fundamental understanding of logic, its application, and how to apply it in a computer-recognizable form. While that may sound a tad scary for the uninitiated, there are several good books that cover programming fundamentals without using any specific language. Here are a couple of my favorites:
<ul>
<li style="font-weight: 400;" aria-level="1"><a href="https://www.amazon.com/_/dp/1449355730?tag=oreilly20-20" target="_blank" rel="nofollow noopener">Learning Python</a> (O’Reilly)</li>
<li style="font-weight: 400;" aria-level="1"><a href="https://www.amazon.com/Learn-Windows-PowerShell-Month-Lunches/dp/1617291080" target="_blank" rel="nofollow noopener">Learn Windows PowerShell in a month of lunches</a> (Jones, Hicks — A personal favorite as I love PowerShell)</li>
</ul>
Now let’s dig into the nuts and bolts of how to become a DevOps engineer — starting with education.

<ul>
<li><a href="https://spacelift.io/blog/ci-cd-tools" target="_blank" rel="noopener">Top Most Useful CI/CD Tools for DevOps</a></li>
<li><a href="https://spacelift.io/blog/devops-best-practices" target="_blank" rel="noopener">16 DevOps Best Practices to Follow</a></li>
<li><a href="https://spacelift.io/blog/terraform-vs-kubernetes" target="_blank" rel="noopener"><span data-sheets-value="{&quot;1&quot;:2,&quot;2&quot;:&quot;What is the difference between Terraform and Kubernetes?&quot;}" data-sheets-userformat="{&quot;2&quot;:513,&quot;3&quot;:{&quot;1&quot;:0},&quot;12&quot;:0}">What is the difference between Terraform and Kubernetes?</a></li>
</ul>

One of the great things about DevOps is that it’s about what you can do, not what qualifications you have. Some of the best DevOps engineers in the field are self-taught, with little in the way of formal higher education. The biggest requirement is motivation and an interest in DevOps engineering.
With that said, you’ll have a much easier time both learning DevOps skills and getting a company to hire you if you have a bachelor’s degree in software development, IT, or a related field.

Start your DevOps engineer roadmap by looking through the skills list above. If you already have some of those skills — great. If not, be honest about the time you’ll need to spend to learn them. But don’t stress about getting everything perfect before you start. If you wait for mastery, you’ll never get a DevOps job.
Start by learning a few of the easy-to-learn skills. If you’re already employed in a non-DevOps job, start working on some DevOps projects now, to build mastery and proof you have the skills. Then make the switch to a full-time DevOps career.
You may even find that your own company has DevOps openings you could move into. Keep a keen eye on internal and external vacancies alike.

Let’s take a deeper look now at how to become a DevOps engineer — the DevOps roadmap and how to build the skills. We’ll share the reasons each of these tools is important, and how long it’ll take to learn each one. We’ll also point you to some good online classes and certifications.
You can learn most of these skills on the job — but a word of caution. In the sink-or-swim world of DevOps career growth, different companies have different requirements. There’s no one-size-fits-all approach.

<h3>Foundation knowledge: 4 months</h3>
We’ve put a plus-sign after each of the time frames below, because while you can learn the basics quickly, mastery can take much longer.

devops-foundation-knowledge-580-x-746-px

DevOps Foundation Knowledge

<h4>1. Intermediate to Advanced Linux and Networking: 1 month+</h4>
Linux is the OS and server platform of choice for DevOps engineers in companies of any size. Linux’s open-source nature, small operational footprint, and support from the Likes of Redhat and Ubuntu make it the go-to not only for DevOps, but for tool building in general.  One of the best things about Linux is that you can download it and start using it today.
If you feel that your Linux skills are rusty, you can get started with the free course offered by <a href="https://www.udemy.com/course/learn-linux-in-5-days/" target="_blank" rel="noopener">Udemy</a>. 
In terms of networking, you’ll get the necessary skills if you do an intermediate cloud certification, such as <a href="https://aws.amazon.com/certification/certified-solutions-architect-associate/" target="_blank" rel="noopener">AWS Certified Solution Architect</a>, but it helps if you take a specialized course such as <a href="https://www.coursera.org/learn/computer-networking?specialization=google-it-support" target="_blank" rel="noopener">The Bits and Bytes of Computer Networking</a> on Coursera.
<h4>2. Advanced Scripting: 2 months+</h4>
First of all, you’ll always need shell (e.g., bash) scripting skills, because this is the default for Linux and most tools. 
For “advanced” scripting use cases, there are quite a few languages out there, but Python is a good start if you don’t know what scripting language to pick.
You can <a href="https://www.coursera.org/articles/how-long-does-it-take-to-learn-python-tips-for-learning#:~:text=In%20general%2C%20it%20takes%20around,can%20take%20months%20or%20years." target="_blank" rel="noopener">master Python in as little as two months</a> with online tutorials from <a href="https://www.learnpython.org/" target="_blank" rel="noopener">LearnPython.org</a>. However, you’ll find that many employers also use other languages such as Perl and Ruby as well, so be ready to learn those, if need be.
<h4>3. Cloud Training and Certification: 1 month+</h4>
AWS is the 600lb gorilla in terms of agile cloud providers, and AWS and Linux go together like Strawberries and cream. You’ll need to be fluent in AWS before you can call yourself part of the DevOps community.
The beauty of AWS and cloud development in general is that you only pay for what you use. That model makes cloud computing ideal for DevOps testing. You can set up an environment quickly, use it for what you need, then pull it down again.
It’s easy to start using AWS, since there’s a 12-month free version available to anyone who signs up. You can learn professional-grade skill in AWS in <a href="https://openupthecloud.com/how-long-to-learn-aws/" target="_blank" rel="noopener">as little as one month</a>, though mastery can take years of continual on-the-job use. Get your <a href="https://aws.amazon.com/certification/" target="_blank" rel="noopener">AWS certification here</a>. You can prepare for the AWS Certified DevOps Engineer certification exam using a <a href="https://www.cloudthat.com/training/aws/aws-certified-devops-engineer-professional-devops-engineering-on-aws-dop-c01-certification-training">course from Cloudthat</a>.
<h4>4. Google Cloud: 1 month+</h4>
Azure offers similar employment opportunities to AWS, but what about GCP?
The Google Cloud Platform (GCP) is smaller than AWS and Azure but it excels particularly in data mining and artificial intelligence (and other deep learning technologies). Google’s DevOps-related offerings are becoming increasingly popular with large companies.
In the banking industry for example, the Google AI/ML tools are creating new ways of doing business, plus adding fraud detection and usage-pattern tracking. This saves huge amounts of time trying to develop similar tools in-house.
Similarly, other large companies are using Google’s ML tools to bring massive data sets down to size, drawing business-driving insights from previously unmanageable seas of data.
Want to know more about how to become a DevOps engineer with Google Cloud? You can get your <a href="https://cloud.google.com/blog/topics/training-certifications/get-google-cloud-certified-in-3-months#:~:text=Get%20Google%20Cloud%20Certified%20in%203%20months,-Rochana%20Golani" target="_blank" rel="noopener">Google Cloud certification here in three months</a>, though you can <a href="https://www.coursera.org/specializations/developing-apps-gcp" target="_blank" rel="noopener">learn to develop applications with Google Cloud in as little as one month</a>.

<h3>Skills: 1 month</h3>
It doesn’t take long to learn the DevOps skills you’ll need to succeed in your new career. All these tools are free to use and experiment with. They just require a little time and effort on your part. Let’s look at how long it takes to learn the basic <a href="https://spacelift.io/blog/devops-tools" target="_blank" rel="noopener">DevOps tools</a> like Terraform, Git, Docker, Jenkins, ECS, and ELK Stack.

devops-skills-580-x-563-px

DevOps Skills

<h4>1. Configure: Terraform (and Ansible) — 1 week+</h4>
Configuration management is at the heart of fast software development. Poorly configured tools waste time, while well-configured tools save it.
As its name implies, Terraform has one purpose in life — to create infrastructure as code in an automated way that speeds up your entire process.
Ansible concerns itself with server-desired state configuration, ensuring that servers are configured to specs. These two technologies are cornerstones of DevOps. Both may seem complex at first, but they’re all based around configuration files written in YAML. 
Terraform takes about a week to learn the basics. Take a look at a <a href="https://courses.morethancertified.com/p/mtc-terraform" target="_blank" rel="noopener">Terraform course from </a><a href="https://courses.morethancertified.com/p/mtc-terraform" target="_blank" rel="noopener">More than Certified</a>. You can also learn more about Ansible in <a href="https://www.exitcertified.com/it-training/topics/devops" target="_blank" rel="noopener">DevOps courses from ExitCertified</a>.
<h4>2. Version control: Git and GitHub (GitLab) — 20 minutes+</h4>
Version control is key to any DevOps endeavour. It lets DevOps Engineers and their team members create and review code faster, without wasting time sharing endless files and iterations.
Git is a standalone product that by default is used on local machines and networks. This is different from GitHub, which facilitates version control in the cloud, with the overhead managed by GitHub itself. In the world of <a href="https://spacelift.io/blog/infrastructure-as-code" target="_blank" rel="noopener">infrastructure as code</a>, version control with products like Git and GitLab are essential.
<a href="https://about.gitlab.com/" target="_blank" rel="nofollow noopener">GitLab</a> is a complete open-source DevOps platform. It helps users deliver software faster, with collaboration and security all rolled into one. Looking to learn more about how to become a DevOps engineer with Git? You can <a href="https://www.udacity.com/course/version-control-with-git--ud123" target="_blank" rel="noopener">learn the basics of Git</a> in minutes if you’re already a programmer. 
<h4>3. Package: Docker (Lambda) — 3 days+</h4>
Packaging is where build management meets release management. It’s where your code and infrastructure come together for deployment.
Without Docker there would be no DevOps. Docker essentially allows DevOps to run code in small isolated containers. That way, building services and replacing services becomes simpler than updating everything in one go (which is very non-DevOps).
Amazon’s Lambda is an alternative to Docker that many companies use instead. Though it’s best to know both tools, Docker is an excellent starting point. You can learn Docker in just a few days. More than Certified offers a solid <a href="https://courses.morethancertified.com/p/mtc-docker" target="_blank" rel="noopener">beginner’s course online for DevOps</a>. 
<h4>4. Deploy: Jenkins (CodeDeploy) — 2 days+</h4>
During deployment, you’ll take your code from version control to users of your application. Automation is a key component of this step, and Jenkins is the central way to automate.
Jenkins allows automation for all manner of tasks, including running build tests and making decisions based on whether code passes or fails the build process. You can also use Jenkins for more mundane purposes, like centralized management of scripts and executing commands via SSH (and other authentication pathways).
It’s a tool to automate those frequent and boring tasks that computers can do better than even the best DevOps engineer could. Some companies choose CodeDeploy over Jenkins, making it another useful DevOps tool to learn.
You can learn to use Jenkins in just a few days. <a href="https://courses.morethancertified.com/p/devops-in-the-cloud" target="_blank" rel="noopener">More than Certified offers a great online class</a> that bundles Terraform, Ansible and Jenkins. And see our <a href="https://spacelift.io/blog/terraform-jenkins" target="_blank" rel="noopener">How to Manage Terraform With Jenkins – Step by Step Tutorial</a>.
<h4>5. Run: ECS (Kubernetes) — 1 day</h4>
Kubernetes is DevOps bread and butter. It starts with Docker and adds extra functionality and tools. For instance, it lets the administrator ensure that several copies of a container image are running. That way, if a single VM or host is lost, the service is still available.
ECS and Kubernetes perform valuable services like this in the background. They deliver several automated DevOps tools that allow useful additions to manage containers, and their availability. They also add important items such as introducing role-based access control and more centralized auditing and management functionality.
See <a href="https://developer.ibm.com/series/kubernetes-learning-path/" target="_blank" rel="nofollow noopener">IBM’s Kubernetes learning path and guide</a> for a 13-hour course, and take a look at our guide to <a href="https://spacelift.io/blog/kubernetes-certification" target="_blank" rel="noopener">Kubernetes certification</a>.
<h4>6. Monitor: ELK Stack (Prometheus) — 2 days</h4>
Once your new application is up and running, you’ll need a real-time view of its status, infrastructure, and services. To this end, DevOps engineers love ELK.
ELK provides all the base components for effective log management and search functionality. It’s Elasticsearch, Logstash, and Kibana — three open source applications offered by the <a href="https://www.elastic.co/what-is/elk-stack" target="_blank" rel="noopener">Elastic</a> company.
ELK takes data from multiple sources and lets you visualize it by using useful charts and graphs. Its rival platform, Prometheus, is just as important for a DevOps engineer to understand. You can learn to use the ELK Stack in just a few days with <a href="https://www.udemy.com/course/elasticsearch-logstash-kibana-learn-elasticsearch-search-server/" target="_blank" rel="noopener">Udemy’s 4-star online class</a>.
Those are the basics of how to become a DevOps engineer. In fact, if you want to learn how to become a DevOps engineer exclusively on one platform, More than Certified has <a href="https://courses.morethancertified.com/p/devops-triple-bundle" target="_blank" rel="noopener">an entire curriculum of core DevOps classes. </a>
Now let’s look into why Git matters so much, and how to get a DevOps job.

One more word on GitHub as a shortcut to starting a career in DevOps. GitHub is essentially the CV of the DevOps world. Any DevOps hiring person will check out your GitHub profile as a very first step and point of contact. Yet it’s easy to learn GitHub and other DevOps tools while you create your virtual CV at the same time.

Knowing how to become a DevOps engineer doesn’t stop with skills. The next step in your DevOps engineer career path is getting the job. That sounds daunting, but if you’ve got software development experience, the skills above, and a few DevOps achievements for your resume, you’re well on your way to getting hired.
Here’s how to get into DevOps.
<h3>Rewrite your DevOps resume</h3>
The first step in getting a DevOps job is to rewrite your resume. A DevOps resume doesn’t need to show years of experience. Start with a reverse-chronological format. Then in your work history, education, and projects section, list achievements, including:
<ul>
<li style="font-weight: 400;" aria-level="1">Development tasks from past jobs</li>
<li style="font-weight: 400;" aria-level="1">Side projects in development, IT, Agile, scripting, or automation</li>
<li style="font-weight: 400;" aria-level="1">Volunteer work in coding or distribution</li>
<li style="font-weight: 400;" aria-level="1">Projects in Terraform or other DevOps tools</li>
<li style="font-weight: 400;" aria-level="1">Linux/Unix projects</li>
<li style="font-weight: 400;" aria-level="1">Scripting in Python or Ruby</li>
<li style="font-weight: 400;" aria-level="1">Tasks completed with AWS, Jenkins, Maven, etc.</li>
</ul>
Start each resume bullet point with an action verb like developed, wrote, created, built, deployed, etc. And use numbers to show how many projects, deployments, scripts, tests, containers, and how many customers, team members, etc.
The more you show DevOps achievements in your history, with measurable details, the higher your chance of getting hired. Knowing how to become a DevOps cloud engineer is all about showing your projects and accomplishments.
<h3>Apply to lots of DevOps jobs</h3>
Finding a DevOps job is a numbers game. If you apply to three jobs, you won’t hear back from any. If you apply to 50, you’ll get a few responses and maybe an interview. Plan to hear back from about one in every 30 applications, and get interviewed by one in every 100.
In other words? You’ll need to apply to a lot of DevOps jobs. Probably something like 300 in a month to get one job (about 14 every weekday). But — you can vastly boost your chance of getting hired if you lean on networking. The easiest way? Start connecting with DevOps engineers on LinkedIn.
Then — don’t ask them for a job. Just ask if you can chat with them about their cool career. About 20% will be glad to share their success. You’ll learn tons about how to start a career in DevOps. And surprise surprise — some will even introduce you to their contacts.
<h3>Shun the unicorns</h3>
Don’t worry about being front-and-center in a DevOps job at Google, Amazon, or another giant company. Everybody clamors to get hired at those firms, creating stifling competition. Don’t be afraid to pursue a DevOps job at a less glamorous firm. Once you’ve got a little experience under your belt, then you can go unicorn hunting.
<h3>Consider working your way up</h3>
Is DevOps a good career for freshers? Not really. Don’t count on landing an entry-level DevOps job. DevOps is, by nature, an advanced position that requires highly skilled candidates. But — don’t let that discourage you. One of the best DevOps career paths is to start as a software developer or IT specialist in a company that also hires DevOps engineers.
If your current employer doesn’t hire DevOps pros, consider switching to one that does. Don’t stay entry-level for long. Three to six months is plenty. Once you’ve logged that time, commit to applying internally to DevOps positions in your new company. During your entry-level tenure, work to build accomplishments that look good on a DevOps resume.

Those are the basics of how to become a DevOps engineer. Though becoming a DevOps engineer takes persistence and passion, it’s not rocket science. Anyone with the drive (and a little time) can follow the DevOps career path, learn the necessary skills in five months, and get a DevOps job in one month. With the right skillset and job search strategy, you can be in your DevOps dream job very soon.
In the meantime, go ahead and learn how a platform like <a href="https://spacelift.io/" target="_blank" rel="noopener">Spacelift</a> can help you and your organization fully manage cloud resources within minutes.
Spacelift is a CI/CD platform for infrastructure-as-code that supports tools like Terraform, Pulumi, Kubernetes, and more. For example, it enables <a href="https://docs.spacelift.io/concepts/policy/" target="_blank" rel="noopener">policy-as-code</a>, which lets you define policies and rules that govern your infrastructure automatically. You can even invite your security and compliance teams to collaborate on and approve certain workflows and policies for parts that require a more manual approach. Get a head start with <a href="https://docs.spacelift.io/" target="_blank" rel="noopener">Spacelift’s documentation</a>.

Spacelift allows you to automate, audit, secure, and continuously deliver your infrastructure.  It helps overcome common state management issues and adds several must-have features for infrastructure management.

Infrastructure as Code : Best Practices, Benefits & Examples

5 Ways to Manage Terraform at Scale - Best Practices

What Are Terraform Modules and How to Use Them: Tutorial

Learn how to become a DevOps Engineer in 2023. Discover the skills you need and how to prepare for a career in DevOps.

Mariusz Michalowski

Who’s Using Amazon Web Services? [2023]

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