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Vladyslav K, Senior AWS DevOps Engineer

Vinnitsa, Ukraine
Last Updated: 4 Jul 2023

- 4 years in IT field as a DevOps Engineer. Strong scripting skills (Python, Bash, Groovy). - Good understanding of Software Development processes. Practical experience and professional competence in CI/CD (Jenkins, Azure DevOps), infrastructure as code (Terraform, CloudFormation), monitoring (ELK, Zabbix, Grafana), cluster management (Kubernetes, Kubespray, Helm), configuration management (Ansible) and computer network. Proficiency in Amazon Web Services. Extensive background in UNIX-like Operating Systems administration and maintenance. - Upper-Intermediate English

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Polina, Full-stack Software Engineer (Node + React)

Belarus
Last Updated: 4 Jul 2023

- 3+ years of experience in the IT industry - Core technology stack is AWS, Node.js, Python - Actively working with serverless architecture AWS (Lambda, Cognito, VPC, Security Group, EC2, RDS, API Gateway, CloudFormation, SES, SNS, S3, Amazon Timestream, IAM, LightSail) - Intermediate English - Available ASAP

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Yaroslav M., Scala Software Engineer with Cloud & Data Engineering skills

Ternopil, Ukraine
Last Updated: 4 Jul 2023

- Professional engineer with proven ability to develop efficient solutions for complex problems, including cloud and Data projects; - Microservice architecture expertise Lightbend Reactive Architecture, Infrastructure as Code expertise in AWS CloudFormation, CI/CD (Gitlab, AWS CodePipeline), Cloud expertise - AWS; -Engineer with the ability to develop efficient solutions for complex problems, including cloud projects, AWS Services (Amazon Quicksight, EC2, S3, Glue), Databricks, Kinesis; - API development RESTful, Swagger, GraphQL, API Gateway, Microservice architecture expertise - Commercial experience in IT since 2013; - Lightbend Reactive Architecture, Infrastructure as Code expertise in AWS CloudFormation, CI/CD (Gitlab, AWS CodePipeline); - System level programming, OOP and OOD, functional programming; Stress on profiling and optimizing code, writing reliable code; - System-level programming, OOP and OOD, functional programming; - Profiling and optimizing JVM code; - Experience with product documentation and supporting products; - Upper-intermediate English; - Available ASAP.

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Jakub, Senior DevOps Engineer

Poland
Last Updated: 4 Jul 2023

- Total work experience: 15 years - AWS commercial experience since 2015 - Using Linux Slackware since High Schoo - Proficient in: Cloudformation, Cloudfront, S3, ECS, ECR, Fargate Lambda, EKS, RDS, Route53. Uusing orchestration tools like Docker Swarm and Kubernetes. - Author of scientific papers - Advanced English

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DevOps

DevOps

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Danila, DevOps Engineer

Georgia
Last Updated: 19 Dec 2023

DevOps engineer with a Computer Science and Software Engineering background and 3 years of cloud, automation, and infrastructure experience within healthcare and mobile technology domains. Expertise includes AWS cloud services, containerization with Docker and Kubernetes, and IaC with Terraform and Ansible. Proven ability in employing CI/CD pipelines, scripting with Bash and Python, and infrastructure monitoring using the ELK stack. Committed to continuous learning and applying IaC methodologies to enhance resource management and workflow automation.

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Terraform   1 yr.

Ansible

Ansible   1 yr.

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Docker Compose   3 yr.

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Kubernetes (K8s)   1 yr.

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Our journey starts with a 30-minute discovery call to explore your project challenges, technical needs, and team diversity. Meet Carefully Matched AWS Cloudformation Talents. Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person. Validate Your Choice. Bring a new AWS Cloudformation developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

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Upstaff Managers conduct an introductory round with potential candidates to assess their soft skills. Additionally, the talent’s hard skills are evaluated through testing or verification by a qualified developer during a technical interview. The Upstaff Staffing Platform stores data on past and present AWS Cloudformation candidates. Upstaff managers also assess talent and facilitate rapid work and scalability, offering clients valuable insights into their talent pipeline. Additionally, we have a matching system within the platform that operates in real-time, facilitating efficient pairing of candidates with suitable positions.

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Table of Contents

How and where is AWS Cloudformation used?

Case NameCase Description
NetflixNetflix, one of the world’s leading streaming services, leverages AWS CloudFormation Development to manage their infrastructure as code. By using CloudFormation, Netflix can automate the deployment and configuration of their resources, reducing manual effort and ensuring consistency across their environments. With CloudFormation, Netflix can easily scale their infrastructure to meet the demands of their growing user base, making it a critical tool in their technology stack.
Capital OneCapital One, a leading financial institution, relies on AWS CloudFormation Development to manage their cloud infrastructure. With CloudFormation, Capital One can define their infrastructure as code, enabling them to version control and automate their deployment processes. This allows them to quickly spin up new environments, test and validate changes, and ensure compliance with industry regulations. CloudFormation also helps Capital One optimize their resource utilization, resulting in cost savings and improved operational efficiency.
AtlassianAtlassian, a software company known for products like Jira and Confluence, uses AWS CloudFormation Development to streamline their software deployment workflows. With CloudFormation, Atlassian can define their application stacks and infrastructure requirements in a declarative manner. This enables them to automate the provisioning of resources, such as EC2 instances and RDS databases, and orchestrate the configuration of their software stack. CloudFormation simplifies the management of Atlassian’s complex infrastructure, reducing manual errors and enabling faster delivery of their software products.
Dow JonesDow Jones, a global news and financial information company, relies on AWS CloudFormation Development to manage their multi-account AWS environment. CloudFormation allows Dow Jones to define and enforce standard configurations across their AWS accounts, ensuring consistency and compliance. By using CloudFormation, Dow Jones can easily provision and manage resources, such as VPCs and IAM roles, across their accounts. This helps them optimize their infrastructure costs and maintain a secure and scalable environment for their critical news and data services.
AirbnbAirbnb, a popular online marketplace for vacation rentals, utilizes AWS CloudFormation Development to automate their infrastructure provisioning and management. With CloudFormation, Airbnb can define their infrastructure as code, enabling them to version control and deploy changes in a controlled and repeatable manner. This allows them to rapidly scale their infrastructure to handle peak demand, ensuring a seamless experience for their users. CloudFormation also helps Airbnb optimize their resource allocation, resulting in cost savings and improved operational efficiency.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsJunior developers typically work under the guidance of more experienced team members. They are responsible for writing and maintaining code, debugging, and assisting in the testing process. They may also be involved in basic software design and documentation.USD 50,000 – 70,000
Middle2-5 yearsMid-level developers have gained enough experience to work independently on projects. They are responsible for designing, coding, and testing software applications. They may also provide technical guidance to junior developers and collaborate closely with other team members.USD 70,000 – 90,000
Senior5-10 yearsSenior developers have extensive experience and expertise in their field. They take on more complex tasks, such as designing and architecting software systems, optimizing performance, and mentoring junior and mid-level developers. They may also be involved in project management and decision-making processes.USD 90,000 – 120,000
Expert/Team Lead10+ yearsExpert developers or team leads have a deep understanding of their domain and industry. They are responsible for leading a team of developers, coordinating projects, and ensuring the successful delivery of software solutions. They provide technical guidance, make strategic decisions, and may also be involved in client interactions and business development.USD 120,000+

TOP 10 AWS Cloudformation Related Technologies

  • Python

    Python is a widely used programming language for AWS CloudFormation software development. It offers simplicity, readability, and a large number of libraries and frameworks that make development faster and more efficient.

  • JavaScript

    JavaScript is another popular language for AWS CloudFormation software development. It is widely supported and can be used both on the frontend and backend. JavaScript frameworks like Node.js provide a powerful environment for building scalable applications.

  • JSON

    JSON (JavaScript Object Notation) is a lightweight data-interchange format used extensively in AWS CloudFormation templates. It provides a simple and human-readable way to define the infrastructure and resources required for your application.

  • YAML

    YAML (YAML Ain’t Markup Language) is another popular choice for writing AWS CloudFormation templates. It is known for its readability and ease of use. YAML templates are commonly used to define stacks and resources in AWS.

  • AWS CLI

    The AWS Command Line Interface (CLI) is a powerful tool for interacting with AWS services, including CloudFormation. It allows developers to create, update, and manage CloudFormation stacks from the command line, automating repetitive tasks and simplifying the development process.

  • AWS SDKs

    AWS Software Development Kits (SDKs) provide libraries and APIs in various programming languages, enabling developers to interact with AWS services programmatically. The AWS SDKs offer a convenient way to integrate CloudFormation into your application and automate infrastructure provisioning.

  • AWS CloudFormation Designer

    AWS CloudFormation Designer is a visual tool that helps developers create, view, and modify CloudFormation templates visually. It provides a drag-and-drop interface for designing templates, making it easier to visualize and understand the infrastructure layout.

What are top AWS Cloudformation instruments and tools?

  • AWS CloudFormation: AWS CloudFormation is a service that allows you to model and provision AWS resources using infrastructure as code. It was launched in 2011 and has become one of the most widely used tools for deploying and managing infrastructure on AWS. With CloudFormation, you can define your infrastructure in a JSON or YAML template, and AWS takes care of provisioning and configuring the resources for you.
  • AWS CloudFormation Designer: AWS CloudFormation Designer is a visual tool for creating, viewing, and modifying CloudFormation templates. It provides a drag-and-drop interface for designing your infrastructure and allows you to easily visualize the relationships between resources. This tool simplifies the process of creating complex CloudFormation templates and helps in understanding the structure of your infrastructure.
  • AWS CloudFormation StackSets: AWS CloudFormation StackSets allows you to create, update, and delete stacks across multiple AWS accounts and regions with a single CloudFormation template. It enables you to manage infrastructure at scale and ensures consistency across your organization. StackSets are particularly useful when you have a multi-account or multi-region architecture.
  • AWS CloudFormation Change Sets: AWS CloudFormation Change Sets provide a way to preview the changes that will be made to your stack before you execute them. It allows you to review the proposed changes, including additions, modifications, and deletions of resources, and helps you assess the impact of those changes. Change Sets help in reducing the risk of unintended modifications to your infrastructure.
  • AWS CloudFormation Drift Detection: AWS CloudFormation Drift Detection helps you identify any changes that have been made to your deployed stack resources outside of CloudFormation. It allows you to detect configuration drift by comparing the current state of your resources with the expected state defined in your CloudFormation template. Drift Detection helps you maintain control and visibility over your infrastructure.
  • AWS CloudFormation StackSets Permission Model: AWS CloudFormation StackSets Permission Model allows you to define fine-grained permissions for managing StackSets across multiple accounts. It provides control over who can create, update, or delete StackSets and allows you to set permissions at the organizational level. The permission model ensures secure and controlled access to infrastructure provisioning.
  • AWS CloudFormation Registry: AWS CloudFormation Registry is a managed repository for storing and sharing CloudFormation resource types, modules, and macros. It allows you to publish and discover reusable infrastructure components, making it easier to collaborate and share best practices within your organization. The registry enhances the reusability and extensibility of CloudFormation templates.
  • AWS CloudFormation Guard: AWS CloudFormation Guard is an open-source command-line tool that helps you enforce best practices and security standards in your CloudFormation templates. It allows you to define rules to validate your templates against a set of predefined conditions. CloudFormation Guard helps in preventing misconfigurations and ensures compliance with industry-specific guidelines.

TOP 11 Facts about AWS Cloudformation

  • AWS CloudFormation is a service provided by Amazon Web Services (AWS) that allows you to use a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all AWS regions.
  • With AWS CloudFormation, you can define your infrastructure as code, enabling you to create, update, and delete your AWS resources in a repeatable and consistent manner.
  • CloudFormation uses a declarative template syntax, written in JSON or YAML, to describe the desired state of your infrastructure.
  • Templates in CloudFormation are composed of resources, parameters, mappings, conditions, and outputs, allowing you to define a wide range of AWS resources such as EC2 instances, S3 buckets, RDS databases, and more.
  • CloudFormation provides a wide selection of pre-built templates known as AWS Quick Starts, which are designed to help you deploy popular software stacks on AWS quickly and easily.
  • By using CloudFormation, you can create entire environments with a single command, eliminating manual configuration and reducing the risk of human error.
  • CloudFormation supports change sets, which allow you to preview the changes that will be made to your infrastructure before applying them, providing you with greater control and visibility.
  • CloudFormation integrates with other AWS services, such as AWS Identity and Access Management (IAM), AWS CloudTrail, and AWS CloudWatch, enabling you to manage and monitor your infrastructure effectively.
  • CloudFormation offers support for drift detection, which allows you to detect any changes made to your infrastructure outside of CloudFormation, helping you maintain control and compliance.
  • CloudFormation provides a graphical user interface (GUI) known as the CloudFormation Designer, which allows you to visualize and edit your templates visually, making it easier to design complex architectures.
  • CloudFormation is a mature and widely adopted service, with extensive documentation, active community support, and integration with popular DevOps tools such as AWS CodeDeploy and AWS CodePipeline.

Soft skills of a AWS Cloudformation Developer

Soft skills are essential for an AWS CloudFormation Developer as they contribute to effective collaboration, communication, and problem-solving within a team. Here are the soft skills required at different levels of expertise:

Junior

  • Adaptability: Ability to quickly learn and adapt to new technologies and tools in the AWS ecosystem.
  • Teamwork: Capability to work collaboratively with team members and actively contribute to team goals and projects.
  • Attention to Detail: Strong attention to detail to ensure accurate and precise CloudFormation template development.
  • Time Management: Efficiently managing time and prioritizing tasks to meet project deadlines.
  • Problem Solving: Aptitude for identifying and resolving issues that arise during CloudFormation development.

Middle

  • Leadership: Demonstrating leadership skills by guiding and mentoring junior developers in CloudFormation best practices.
  • Communication: Effective communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Critical Thinking: Applying critical thinking to analyze and evaluate CloudFormation templates for optimization and efficiency.
  • Collaboration: Collaborating with other teams and stakeholders to gather requirements and ensure seamless integration with existing systems.
  • Adaptability: Adapting to changing project requirements and effectively managing scope and priorities.
  • Problem Solving: Expertise in troubleshooting and resolving complex issues in CloudFormation deployments.
  • Time Management: Efficiently managing time and resources to meet project milestones and deliverables.

Senior

  • Strategic Thinking: Ability to think strategically and provide insight into CloudFormation architecture and design decisions.
  • Project Management: Proficiency in managing large-scale CloudFormation projects, including resource allocation and risk management.
  • Influence: Ability to influence and drive consensus among team members and stakeholders to achieve project goals.
  • Continuous Learning: Demonstrating a commitment to continuous learning and staying updated with the latest AWS services and features.
  • Mentorship: Mentoring and coaching junior and middle-level developers to enhance their CloudFormation skills and knowledge.
  • Problem Solving: Expertise in identifying and resolving complex issues in CloudFormation deployments, considering scalability, security, and performance.
  • Decision Making: Making informed decisions based on thorough analysis and evaluation of CloudFormation solutions.
  • Collaboration: Collaborating with cross-functional teams to design and implement CloudFormation solutions aligned with business objectives.

Expert/Team Lead

  • Strategic Leadership: Providing strategic direction and guidance for the entire CloudFormation team in alignment with organizational goals.
  • Technical Expertise: Demonstrating deep knowledge and expertise in CloudFormation, AWS best practices, and related technologies.
  • Innovation: Driving innovation within the CloudFormation team by exploring and implementing new technologies and approaches.
  • Relationship Building: Establishing and nurturing relationships with key stakeholders to ensure successful project delivery and customer satisfaction.
  • Change Management: Leading the team through organizational changes and driving the adoption of new processes and methodologies.
  • Thought Leadership: Contributing to the AWS community through blog posts, conference presentations, or open-source projects.
  • Quality Assurance: Ensuring the quality and adherence to best practices in CloudFormation templates and deployments.
  • Team Management: Managing the CloudFormation team, including resource allocation, performance evaluation, and professional development.
  • Strategic Planning: Developing long-term plans and roadmaps for CloudFormation architecture and technology adoption.
  • Risk Management: Identifying and mitigating risks associated with CloudFormation deployments and operations.
  • Customer Focus: Understanding customer needs and translating them into effective CloudFormation solutions.

Cases when AWS Cloudformation does not work

  1. AWS CloudFormation might not work if there are invalid template syntax or formatting errors. The CloudFormation service requires the template to be written in valid JSON or YAML format. Any syntax errors in the template can prevent the stack creation or update process.
  2. Another case where AWS CloudFormation might not work is when the required AWS services or resources are not available in the specified region. CloudFormation relies on the availability of these services to create or update stacks. If a particular service or resource is not available, CloudFormation will fail to create or update the stack.
  3. In some cases, CloudFormation stack creation may fail due to insufficient permissions. The AWS Identity and Access Management (IAM) roles and policies associated with the CloudFormation stack must have the necessary permissions to create or modify the required resources. If the IAM roles or policies are misconfigured or lack the required permissions, CloudFormation will encounter errors.
  4. CloudFormation may fail if the specified resource limits are exceeded. Each AWS account has certain limits on the number of resources that can be created. If the CloudFormation template attempts to create more resources than the account’s limits allow, the stack creation or update process will fail.
  5. Issues with dependencies between resources can also cause CloudFormation to fail. If a resource depends on another resource that has not been created or updated yet, CloudFormation will encounter errors. It is important to define the correct dependencies between resources in the template to ensure successful stack creation or update.
  6. CloudFormation may not work if the template references invalid or non-existent parameter values. Parameters allow users to provide input values when creating or updating a stack. If the template references invalid or non-existent parameter values, CloudFormation will fail to resolve those values and encounter errors.
  7. In some cases, CloudFormation may fail due to insufficient stack rollback options. Rollback options determine the behavior of CloudFormation when a stack creation or update fails. If the rollback options are not configured correctly or do not allow for rollback, CloudFormation may not be able to revert the changes and the stack will be left in an inconsistent state.

Pros & cons of AWS Cloudformation

8 Pros of AWS CloudFormation

  • Infrastructure as Code: AWS CloudFormation allows you to define your infrastructure as code, which means you can manage and provision your AWS resources using a template. This provides a repeatable and consistent way to create and manage your infrastructure.
  • Automation: With CloudFormation, you can automate the provisioning and management of your resources. This eliminates the need for manual intervention and reduces the chance of human error.
  • Version Control: CloudFormation templates can be version controlled using tools like Git. This allows you to track changes, rollback to previous versions, and collaborate with your team.
  • Resource Management: CloudFormation provides a centralized view of your AWS resources, allowing you to easily manage and track changes to your infrastructure.
  • Scalability: CloudFormation makes it easy to scale your infrastructure by allowing you to define auto-scaling groups, load balancers, and other scalable resources in your template.
  • Dependency Management: CloudFormation handles resource dependencies automatically. It ensures that resources are created in the correct order, taking into account dependencies between them.
  • Cost Optimization: CloudFormation allows you to define cost-saving measures such as spot instances, reserved instances, and usage-based pricing. This helps you optimize your infrastructure costs.
  • Integration with AWS Services: CloudFormation integrates seamlessly with other AWS services, such as AWS Identity and Access Management (IAM), Amazon Virtual Private Cloud (VPC), and AWS Elastic Beanstalk. This allows you to easily provision and configure these services as part of your infrastructure.

8 Cons of AWS CloudFormation

  • Learning Curve: Using CloudFormation requires learning the syntax and concepts of the CloudFormation template language. This can be a bit challenging for beginners.
  • Template Complexity: As your infrastructure grows, CloudFormation templates can become complex and hard to manage. This may require additional effort to keep the templates organized and maintainable.
  • Debugging: Debugging CloudFormation templates can sometimes be difficult, especially when dealing with complex interdependencies between resources.
  • Vendor Lock-in: CloudFormation is a proprietary service of AWS. If you decide to switch to another cloud provider, you may need to rewrite your infrastructure code to match their equivalent service.
  • Limitations: CloudFormation has certain limitations and may not support all AWS resources and features. In some cases, you may need to use other provisioning tools or custom scripts to fill these gaps.
  • Deployment Time: Creating or updating a CloudFormation stack can take some time, especially if you have a large number of resources or complex dependencies.
  • Cost Estimation: It can be challenging to estimate the cost of your infrastructure before deploying it. You may need to rely on other tools or services to get accurate cost estimates.
  • Dependency on AWS: CloudFormation is tightly integrated with AWS services. If you have a requirement to provision resources outside of AWS, CloudFormation may not be the best fit.

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