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Vyacheslav N., DevOps Engineer

Last Updated: 4 Jul 2023

- Experienced DevOps Engineer with a proven track record in managing cloud environments, Kubernetes environments, Dockerizing applications, configuring CI/CD, and monitoring servers and applications. - Skilled in disaster recovery and optimization of Docker images with various apps such as NodeJS and .Net. - Successfully managed Proxmox VE clusters, administered a park of Kubernetes clusters, and managed Docker Swarm clusters. - 5+ years DevOps Engineer - 7+years site reliability Engineer - Upper-Intermediate English - Available ASAP

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Jakub, Senior DevOps Engineer

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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Amazon Web Services (AWS)

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Mykhaylo R., DevOps/SRE/Lead System Administrator

Last Updated: 19 Mar 2024
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- Over 20 years in IT with a master's degree in Cybernetics - Proficient in Ansible: Extensive experience in deploying and managing Ansible-driven infrastructure, particularly highlighted in roles as SRE/Architect (Aug 2018 – Present) and Senior DevOps Engineer/Lead Sysadmin (Aug 2020 – May 2021), where Ansible was pivotal in scaling a learning platform from 1,000 to over 100,000 students and in key migration projects. - Expertise in Windows Environments: Demonstrated strong skills in managing Windows environments, especially as an SRE/Architect (Aug 2018 – Present) and CTO (2013 – Mar 2022), involving Windows AD+MSSQL backoffice management and ITIL Service Management framework implementation on Windows platforms. - Versatile IT Roles with Ansible and Windows: Across various roles including IT Service Manager, Senior DevOps Engineer, and CTO, consistently applied Ansible and Windows technologies in large-scale infrastructure projects and day-to-day operations, showing versatility and depth in these areas. - Managing the growth of the learning platform from 1,000+ to 100k+ active students - ITIL v3 Foundations Certificate - More than 5 years of experience in leading ITIL Service Management capability and implementing end-to-end ITIL Service Management framework - Strong experience in using ServiceNow and Jira Service Desk for ITSM - Experienced IT/Telecom Specialist - UNIX and UNIX-Like OS (FreeBSD, Linux, SunOS, MacOS X) background - Over 20 years of Windows/windows server family. From NT4.0 /win3.1 up to Server2019. As well as upgrading Up to 15 years with server HW, and 13 years with storage solutions - Infrastructure problem-solver with a strong view on reliability, performance, and disaster recovery - Fluent English

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Bash   10 yr.

Shell Scripts

Shell Scripts   10 yr.


MySQL   10 yr.



Ansible Playbook

Ansible Playbook

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Yurii T., Senior Full Stack Developer

Kyiv, Ukraine
Last Updated: 5 Oct 2023

Yurii T. is a senior full-stack developer with 8 years of experience in software development and business. He has a strong background in computer science and is proficient in HTML5, CSS3 with SCSS, JavaScript ES6+, and TypeScript. Yurii has expertise in various frameworks and technologies such as Node.js, Koa.js, Nest.js, React.js, Redux-Saga, MongoDB, PostgreSQL, MySQL, Docker, Docker Swarm, Kubernetes, AWS, GCP, Azure, GitLab CI, Jenkins, CIRCLECI, AngularJS, Angular 2+, and Ionic.He has worked on several projects, including Teroxx, where he developed an all-in-one cryptocurrency wallet app with features like registration, secure asset storage, coin-tracking, real-time transfers, and more. Yurii also contributed to the development of an internal cargo management system for an Italian logistic company, a comprehensive platform called Teamplate with chat, board, data room, calendar, and video call functionalities, and a delivery app called Lezzoo for ordering food, pharmacy items, groceries, and taxis.Yurii is experienced in using Apache Kafka, GRPC, Mocha.js, Jest.js, SNYK, Unit Tests, Twitter Bootstrap, Angular Material, React.js Material-UI, React Bootstrap, SASS, SCSS, LESS, Mongoose, Squelize, Typeorm, Gulp, Grunt, Webpack, MySQL, Oracle PLSQL, Redis, Elasticsearch, Memcached, and KSQL.He has also worked on projects like QueenCar, a ride-sharing app, Nimbla, a web app for invoice insurance, Shift, a delivery and transport marketplace, and The Hub, a community platform for creators.Yurii's technical skills, extensive experience, and proficiency in various programming languages, frameworks, and tools make him a standout candidate for software engineering positions. He has a strong understanding of software development methodologies, principles, paradigms, and patterns, and follows industry-standard software development practices.

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JavaScript   8 yr.




Node.js   8 yr.


React   8 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)   8 yr.

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Viktoriya R., Node/React Engineer

Last Updated: 4 Jul 2023

- Good experience in web development. - Strong attitude to follow engineering best practices. Open to new approaches, can argue about technical decisions. - Upper-Intermediate English - Available: ASAP

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Table of Contents

TOP 12 Tech facts and history of creation and versions about Docker Swarm Development

  • Docker Swarm is a container orchestration tool that enables the management of multiple Docker containers across a cluster of hosts.
  • It was first introduced in March 2014 by Docker Inc. as an open-source project.
  • The initial release of Docker Swarm was developed by Solomon Hykes, the founder and CTO of Docker Inc.
  • Swarm follows a decentralized design philosophy, where each node in the cluster is treated equally and can perform the same tasks.
  • In October 2015, Docker Swarm was integrated into the Docker Engine, making it a native part of the Docker ecosystem.
  • Swarm uses the Raft consensus algorithm to ensure high availability and fault tolerance among the nodes.
  • Version 1.12, released in July 2016, introduced Swarm mode, which simplified the setup and management of Swarm clusters.
  • Swarm mode brought features like service discovery, load balancing, and automatic scaling to the Docker ecosystem.
  • With the release of Docker 1.13 in January 2017, Swarm mode became the default orchestration solution for Docker.
  • In 2018, Docker Swarm introduced support for multi-tenancy, allowing users to isolate resources between different teams or projects.
  • Swarm supports various scheduling strategies, including spread, binpack, and random, to optimize the distribution of containers across the cluster.
  • Docker Swarm has been widely adopted by organizations due to its simplicity, scalability, and compatibility with the Docker ecosystem.

Pros & cons of Docker Swarm

7 Pros of Docker Swarm

  • Docker Swarm is easy to set up and use, making it accessible for both beginners and experienced users.
  • It provides high availability by automatically distributing containers across a cluster of machines, ensuring that applications remain up and running even if individual nodes fail.
  • Scaling applications is seamless with Docker Swarm, as it allows you to easily add or remove nodes to meet the demands of your workload.
  • It offers built-in load balancing, distributing incoming requests evenly across containers to optimize performance and prevent any single container from being overwhelmed.
  • Docker Swarm integrates seamlessly with other Docker tools, such as Docker Compose, allowing for easy management and deployment of multi-container applications.
  • It provides centralized management through a single API endpoint, making it convenient to control and monitor your entire swarm from a single interface.
  • Docker Swarm is compatible with Docker’s vast ecosystem, enabling you to leverage the extensive library of pre-built Docker images and the Docker Hub community.

7 Cons of Docker Swarm

  • Docker Swarm has a limited feature set compared to more advanced container orchestration platforms like Kubernetes, making it less suitable for complex or highly scalable deployments.
  • It lacks some advanced networking features, such as network policies and advanced load balancing options, which may be required for certain use cases.
  • Although Docker Swarm is easy to set up, it may require additional configuration and tuning to optimize performance and ensure efficient resource utilization.
  • There is a learning curve involved in understanding and mastering Docker Swarm’s concepts and terminology, especially for users new to container orchestration.
  • As a Docker-native solution, Docker Swarm may not be the best choice for organizations running a mixed environment with different container runtimes.
  • Although Docker Swarm has improved significantly over the years, it may not have the same level of community support and resources as some other container orchestration platforms.
  • While Docker Swarm is suitable for small to medium-sized deployments, it may not offer the same level of scalability and flexibility as more robust solutions like Kubernetes.

Hard skills of a Docker Swarm Developer

As a Docker Swarm Developer, you need to possess a wide range of hard skills to excel in your role. Here is an overview of the hard skills required at different levels of expertise:


  • Containerization: Proficiency in containerization concepts and hands-on experience with Docker Swarm.
  • Deployment and Orchestration: Understanding of how to deploy and orchestrate services using Docker Swarm.
  • Networking: Knowledge of Docker networking and how to configure and manage network connectivity between containers.
  • Monitoring and Logging: Familiarity with monitoring and logging tools to ensure the health and performance of Docker Swarm clusters.
  • Security: Understanding of basic security practices for Docker Swarm, including authentication, authorization, and securing containerized applications.


  • Infrastructure as Code: Experience with tools like Docker Compose or Kubernetes YAML to define and manage infrastructure as code.
  • High Availability: Knowledge of strategies to ensure high availability and fault tolerance in Docker Swarm clusters.
  • Scaling and Load Balancing: Ability to scale services and implement load balancing techniques to handle increased traffic.
  • Continuous Integration and Deployment: Proficiency in CI/CD pipelines and tools like Jenkins or GitLab for automating the build, test, and deployment processes.
  • Debugging and Troubleshooting: Strong problem-solving skills to diagnose and resolve issues in Docker Swarm clusters.
  • Performance Optimization: Ability to optimize the performance of Docker Swarm clusters by analyzing and fine-tuning resource allocation.
  • Backup and Recovery: Understanding of backup and recovery strategies for Docker Swarm clusters to ensure data integrity.


  • Advanced Networking: In-depth knowledge of Docker networking concepts, including overlay networks, service discovery, and routing mesh.
  • Infrastructure Design: Experience in designing and architecting Docker Swarm clusters for optimal performance, scalability, and security.
  • Security Hardening: Expertise in securing Docker Swarm clusters by implementing advanced security measures, such as container isolation and network segmentation.
  • Performance Monitoring and Optimization: Proficiency in monitoring tools like Prometheus and Grafana to analyze and optimize the performance of Docker Swarm clusters.
  • Disaster Recovery: Ability to design and implement disaster recovery plans for Docker Swarm clusters to minimize downtime and data loss.
  • Automation and DevOps: Strong skills in automation using tools like Ansible or Terraform, and deep understanding of DevOps principles and practices.
  • Collaboration and Leadership: Experience in leading and collaborating with cross-functional teams, mentoring junior developers, and driving project success.
  • Cloud Integration: Knowledge of integrating Docker Swarm with cloud platforms like AWS, Azure, or GCP for seamless deployment and management.

Expert/Team Lead

  • Advanced Containerization: Mastery of advanced containerization techniques and concepts, including container orchestration patterns and advanced Docker networking.
  • Cluster Management: Expertise in managing large-scale Docker Swarm clusters with hundreds or thousands of nodes.
  • Performance Tuning: Ability to fine-tune the performance of Docker Swarm clusters for optimal resource utilization and maximum efficiency.
  • Security Governance: Understanding of security governance frameworks and compliance requirements in containerized environments.
  • Architecture and Strategy: Experience in defining and implementing containerization strategies and architectures at an organizational level.
  • Team Leadership: Strong leadership skills to guide and mentor a team of Docker Swarm developers, ensuring successful project delivery.
  • Vendor Management: Proficiency in managing relationships with Docker Swarm vendors and evaluating new technologies and tools in the ecosystem.
  • Technical Writing and Presentations: Ability to effectively communicate complex Docker Swarm concepts through documentation and presentations.
  • Continuous Learning: Dedication to continuous learning and staying updated with the latest advancements in Docker Swarm and containerization technologies.
  • Problem Solving and Innovation: Proven ability to solve complex problems, think critically, and drive innovation in Docker Swarm development.
  • Project Management: Experience in managing Docker Swarm projects, including planning, scheduling, and coordinating resources and deliverables.

Cases when Docker Swarm does not work

  1. Limited Scalability: Docker Swarm may not be the ideal choice for large-scale deployments requiring thousands of nodes. While it can handle a considerable number of nodes, it may struggle to scale efficiently beyond a certain point. When dealing with extremely large clusters, other orchestration tools like Kubernetes might be more suitable.
  2. Complex Networking Requirements: Docker Swarm supports basic networking features out of the box, but it may not be the best option for complex networking scenarios. If your application requires advanced networking capabilities such as overlay networks with specific routing rules, advanced load balancing, or integration with third-party networking plugins, you may encounter limitations with Docker Swarm.
  3. Advanced Scheduling Policies: While Docker Swarm offers basic scheduling strategies like spread and binpack, it lacks advanced scheduling capabilities provided by other orchestration tools. If your application requires complex scheduling policies, such as affinity or anti-affinity rules, pod disruption budgets, or custom resource allocation, you may need to consider alternative solutions.
  4. Limited Third-Party Tool Ecosystem: Compared to its main competitor Kubernetes, Docker Swarm has a smaller ecosystem of third-party tools and community support. This can be a disadvantage when looking for specific integrations, plugins, or troubleshooting resources.
  5. Advanced Security Requirements: Docker Swarm provides basic security features, such as TLS encryption and role-based access control (RBAC). However, if your application has stringent security requirements, such as fine-grained access control, network policies, or auditing capabilities, you might need to explore alternative container orchestration solutions like Kubernetes, which offer more advanced security features.
  6. Dynamic Scaling: Docker Swarm is designed to handle static deployments, where the number of nodes remains relatively constant over time. If your application requires frequent and rapid scaling of nodes, such as auto-scaling based on metrics or event-driven scaling, you may find Docker Swarm’s scaling capabilities limited.

How and where is Docker Swarm used?

Case NameCase Description
High AvailabilityDocker Swarm enables high availability by distributing containers across multiple nodes in a cluster. It automatically detects and recovers from node failures, ensuring continuous service availability. This feature is particularly beneficial for critical applications that require uninterrupted operation.
ScalabilityDocker Swarm allows easy scaling of applications by adding or removing nodes from the cluster. It intelligently distributes containers across the available resources, ensuring optimal utilization of the cluster’s computing power. This capability makes it simple to handle varying levels of workload and accommodate increased user demand without downtime.
Load BalancingWith Docker Swarm, load balancing becomes effortless. It automatically distributes incoming requests across multiple containers, ensuring that no single container becomes overwhelmed with traffic. This feature improves performance and prevents bottlenecks, providing a smooth user experience even during high traffic periods.
Rolling UpdatesDocker Swarm simplifies the process of rolling updates for applications. It allows for the seamless deployment of new container versions while ensuring that the application remains available to users. By gradually updating containers across the cluster, it minimizes downtime and eliminates service interruptions.
Service DiscoveryDocker Swarm provides built-in service discovery, making it easy for containers within the cluster to communicate with each other. Containers can discover and connect to services using DNS or environment variables, simplifying the development and deployment of microservices architectures.
Resource OptimizationDocker Swarm optimizes resource utilization by automatically balancing containers across nodes based on available resources. It ensures that containers are distributed efficiently, making the most of the cluster’s computing power and preventing resource wastage.
Multi-Cloud DeploymentDocker Swarm allows for multi-cloud deployment, enabling applications to run seamlessly across different cloud providers. It abstracts the underlying infrastructure, making it easier to migrate applications between different cloud environments without significant modifications.

What are top Docker Swarm instruments and tools?

  • Docker Swarm: Docker Swarm is a native clustering and orchestration solution for Docker. It was introduced by Docker in 2014 and has since become one of the most popular tools for managing containerized applications at scale. Docker Swarm allows users to create and manage a cluster of Docker nodes, making it easier to deploy and scale applications across multiple machines. It provides built-in load balancing, service discovery, and fault tolerance, making it an ideal choice for production environments.
  • Kubernetes: While not specifically designed for Docker Swarm, Kubernetes is an open-source container orchestration platform that is widely used in the industry. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation. Kubernetes provides powerful features for managing containerized applications, including automatic scaling, rolling updates, and self-healing capabilities. Although it can be used with various container runtimes, it has extensive support for Docker and can be integrated with Docker Swarm to enhance its capabilities.
  • Portainer: Portainer is a lightweight and user-friendly management UI for Docker Swarm. It allows users to easily deploy, manage, and monitor Docker containers and services through a web interface. Portainer provides a visual representation of the Docker Swarm cluster, making it simple to manage nodes, services, and networks. It also offers features like container logs, resource utilization metrics, and container templates, which simplify the management of Docker Swarm deployments.
  • Swarm Visualizer: Swarm Visualizer is an open-source tool that provides a visual representation of Docker Swarm clusters. It allows users to view the status of nodes, services, and containers in a graphical interface. Swarm Visualizer provides real-time updates and helps users understand the distribution of services across the cluster. It is particularly useful for monitoring and troubleshooting Docker Swarm deployments.
  • Weave: Weave is a networking tool that provides a simple and reliable way to connect Docker containers across multiple hosts. It creates a virtual network overlay that allows containers to communicate with each other regardless of the underlying network infrastructure. Weave is designed to work seamlessly with Docker Swarm, providing secure and scalable networking for containerized applications. It also offers features like automatic IP address management and encryption, making it an excellent choice for multi-host Docker deployments.
  • Consul: Consul is a distributed service mesh solution that enables service discovery, configuration, and segmentation in containerized environments. It provides a highly available and scalable control plane for managing services running on Docker Swarm. Consul allows applications to easily discover and communicate with each other using DNS or HTTP-based APIs. It also offers features like distributed key-value storage, health checking, and access control, making it a powerful tool for building resilient and secure Docker Swarm deployments.
  • Prometheus: Prometheus is an open-source monitoring and alerting solution that is widely used in the Docker ecosystem. It provides a time-series database and a powerful query language for collecting, storing, and analyzing metrics from Docker Swarm clusters. Prometheus integrates seamlessly with Docker Swarm, allowing users to monitor various aspects of their containerized applications, including resource usage, performance, and availability. It also supports alerting rules and notification mechanisms, enabling proactive monitoring and troubleshooting.
  • Traefik: Traefik is a modern and dynamic reverse proxy and load balancer that is often used with Docker Swarm. It automatically discovers new services in a Docker Swarm cluster and dynamically updates its configuration to route traffic to the appropriate containers. Traefik supports various load balancing algorithms, SSL termination, and circuit breakers, making it a robust choice for managing incoming traffic to Docker Swarm services. It also integrates with popular service discovery mechanisms like Consul and Kubernetes, enhancing its capabilities for containerized environments.
  • Drone: Drone is a continuous integration and delivery (CI/CD) platform that can be integrated with Docker Swarm. It allows users to define pipelines for building, testing, and deploying containerized applications in a Docker Swarm cluster. Drone provides a declarative syntax for defining pipelines, which can be version-controlled alongside the application source code. It supports various source code repositories and can automatically trigger pipelines based on code changes. Drone also offers features like parallel execution, secret management, and integration with popular container registries.

TOP 10 Docker Swarm Related Technologies

  • Python

    Python is a popular programming language for Docker Swarm software development due to its simplicity and readability. It offers a wide range of libraries and frameworks, making it easy to build scalable and maintainable applications.

  • Go

    Go, also known as Golang, is a statically typed programming language that is gaining popularity in the Docker Swarm community. It is known for its efficiency and concurrency support, making it suitable for building high-performance applications.

  • Node.js

    Node.js is a JavaScript runtime that allows developers to build scalable network applications. It has a large ecosystem of packages and frameworks that can be used in Docker Swarm development, making it a popular choice for building microservices.

  • Docker Compose

    Docker Compose is a tool for defining and running multi-container Docker applications. It allows developers to easily define the services, networks, and volumes required for their application, making it an essential tool for Docker Swarm development.

  • Kubernetes

    While not specific to Docker Swarm, Kubernetes is worth mentioning due to its popularity in the container orchestration space. It provides powerful features for managing containerized applications, including scaling, load balancing, and automatic rollout of updates.

  • Ansible

    Ansible is a powerful automation tool that can be used for provisioning and managing Docker Swarm clusters. It allows developers to define infrastructure as code, making it easier to deploy and manage Docker Swarm applications.

  • Terraform

    Terraform is an infrastructure as code tool that allows developers to define and provision infrastructure resources. It supports Docker Swarm and can be used to automate the creation and management of Docker Swarm clusters.

Soft skills of a Docker Swarm Developer

Soft skills are essential for a Docker Swarm Developer to excel in their role. These skills complement technical expertise and contribute to the overall success of projects. Here are the soft skills required at different levels of experience:


  • Communication: Ability to effectively communicate ideas and technical concepts with team members and stakeholders.
  • Teamwork: Collaborating with other developers and team members to achieve project goals.
  • Adaptability: Being flexible and open to learning new technologies and methodologies.
  • Problem-solving: Analyzing and resolving issues that arise during development and deployment.
  • Attention to detail: Paying close attention to small details to ensure accurate and efficient implementation.


  • Leadership: Taking initiative and guiding junior developers in the team.
  • Mentoring: Assisting and mentoring junior team members to enhance their skills.
  • Time management: Efficiently managing time and meeting project deadlines.
  • Critical thinking: Analyzing complex problems and developing innovative solutions.
  • Conflict resolution: Resolving conflicts and fostering a positive work environment.
  • Customer focus: Understanding and addressing the needs of customers and end-users.
  • Continuous learning: Keeping up-to-date with the latest advancements in Docker Swarm and related technologies.


  • Strategic thinking: Contributing to the strategic planning and decision-making process.
  • Project management: Overseeing multiple projects and coordinating resources effectively.
  • Empathy: Understanding the perspectives and needs of team members and stakeholders.
  • Presentation skills: Presenting technical information to both technical and non-technical audiences.
  • Negotiation: Negotiating and managing expectations with stakeholders.
  • Quality assurance: Implementing processes to ensure high-quality deliverables.
  • Innovation: Identifying opportunities for innovation and driving continuous improvement.
  • Conflict management: Resolving conflicts within the team or between different stakeholders.

Expert/Team Lead

  • Strategic leadership: Providing strategic direction and guidance to the team.
  • Decision-making: Making informed decisions that align with organizational goals.
  • Change management: Managing and driving organizational changes related to Docker Swarm.
  • Resource management: Efficiently allocating and managing resources for optimal productivity.
  • Collaboration: Building strong relationships with other teams and departments for cross-functional collaboration.
  • Business acumen: Understanding the business context and aligning technical solutions accordingly.
  • Influence: Influencing and inspiring team members to achieve exceptional results.
  • Conflict resolution: Resolving complex conflicts and mediating between different stakeholders.
  • Strategic partnerships: Establishing strategic partnerships with external organizations for enhanced collaboration and knowledge-sharing.
  • Thought leadership: Demonstrating expertise and thought leadership in the Docker Swarm ecosystem.
  • Team management: Leading and managing a team of developers, ensuring their professional growth and success.

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