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Anatolii K., Python Software Engineer

Kamianets-Podilskyi, Ukraine
Last Updated: 5 Apr 2024
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- 4 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

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Abhi, Solution Architect

Last Updated: 4 Jul 2023

- Sr. Architect with 15+ years of experience and track record of designing and implementing innovative, cost-effective, and scalable solutions for complex business challenges. - My areas of expertise include microservices, cloud solutions, Java/J2EE, data engineering/analytics, BPEL/BPMN2/camunda/webmethods, relational/NoSQL databases, DevOps automation, containerization, and orchestration. -Highly experienced Architect with expertise in designing and managing the implementation of technology programs. Proficient in various architectural frameworks and modeling techniques such as TOGAF, C4 modeling, ArchiMate, & UML. - Adept in collaborating with business stakeholders/partners to provide the solution angle on features, planning, prioritization, & agile execution. - Capable of proposing solutions, recommending buy vs. build decisions, technology options, architecture guidance & standards, and being responsible for solution Total Cost of Ownership (TCO) and stewardship. - Skilled in designing transition and target architectures for creating digital experiences through a combination of new and existing systems.

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Microservice Architecture

Microservice Architecture



Spring Boot Framework

Spring Boot Framework





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Parth J., SAP Software Engineer

Banaswadi, India
Last Updated: 5 Aug 2023

- Full stack developer with overall 12+ years of experience in SAP CAPM, HANA, ABAP, SAP Fiori, SAPUI5 and BTP developments and extensions. - Expertise in working with the latest SAP technologies: SAP Fiori Elements, HANA CDS views, SAP CAI Bots, SAP Cloud Foundry, SAP Cloud App Programming Model, SAP Task Center, Mobile Start. - Good understanding of Microservice architecture and microservice development in NodeJS. - Good understanding of cloud services from an architecture design perspective. - Expertise in Extension/Enhancement of Standard Fiori Apps - Expertise in Dump Analysis, debugging, and resolution - Expertise in BADI Implementation, User exits, customer exits, and other enhancements. - Experience working on 5 implementation projects and 3 support projects. - SAP Certified Development Associate SAP HANA completed in December 2022. - Winner of SAP Hacks for Innovation Hackathon for SAP Build Apps

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Yehor Sh., Java Engineer

Kyiv, Ukraine
Last Updated: 15 Aug 2023

- Have experience in programming Spring Framework. - Have experience with Microservices architecture. - Practice with Elasticsearch (Kibana); - Experience in the fintech sphere; - Understanding of “Clean code”; - Good logical thinking, self-learning, high level of responsibility. - Responsible, hard-working, result-oriented, creative, and communicative, team player. - Intermediate English. - Availability starting from Asap

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Microservice Architecture

Microservice Architecture



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Maksym, Java (Kotlin) Developer

Last Updated: 4 Jul 2023

- 4+ years of commercial experience with Java and 3+ years of commercial experience with Kotlin - Proficient in Java and Kotlin programming languages, with experience in Spring Boot, Spring Core, Spring Data, Spring web, and Spring Cloud frameworks - Skilled in developing and maintaining APIs for mobile and tablet apps, including Kotlin-based Screwfix app development and Java-based NextGear Capital Mobile Account Portal - Expertise in Gradle, Jenkins, GitLab CI/CD, Docker, Microservice Architecture, Scrum, and various databases and cloud platforms - Demonstrated ability to solve architectural issues and create new features, with experience in both front-end and back-end development - Worked mainly with Spring Framework stack, and different REST APIs for mobile apps and tablets, creating and maintaining them with Java and Kotlin. - Upper-Intermediate English

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Microservice Architecture

Microservice Architecture


Java   4 yr.


Kotlin   3 yr.

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Table of Contents

Pros & cons of Microservice Architecture

6 Pros of Microservice Architecture

  • Scalability: Microservice architecture allows for independent scaling of each microservice, which means you can scale specific components of your application based on their individual needs. This provides better resource management and ensures optimal performance.
  • Fault Isolation: In a microservice architecture, each microservice is isolated from the others, which means that if one microservice fails or experiences issues, it doesn’t affect the entire system. This leads to increased fault tolerance and improved system stability.
  • Independent Deployment: Microservices can be developed, tested, and deployed independently of each other. This enables faster and more frequent updates, as changes made to one microservice don’t require the entire application to be redeployed.
  • Technology Diversity: Microservice architecture allows you to use different technologies and programming languages for each microservice. This flexibility enables you to choose the best tools and technologies for the specific functionalities of each microservice, leading to increased development efficiency and innovation.
  • Team Autonomy: Microservice architecture promotes the concept of small, self-contained teams responsible for individual microservices. This decentralization of decision-making allows teams to work independently, making development and maintenance more agile and efficient.
  • Easy Scalability: Microservices are designed to be modular and loosely coupled. This makes it easier to add or remove microservices as needed, allowing for seamless scalability of your application as your business requirements evolve.

6 Cons of Microservice Architecture

  • Increased Complexity: Microservice architecture introduces complexity due to the distributed nature of the system. Managing and coordinating multiple microservices can be challenging, requiring additional tools and infrastructure.
  • Network Overhead: Communication between microservices typically happens over the network, which can introduce latency and increase network overhead. This can impact overall system performance, especially if the network infrastructure is not properly optimized.
  • Operational Complexity: With multiple microservices running independently, the operational complexity of managing and monitoring the entire system increases. Proper monitoring, logging, and troubleshooting mechanisms must be in place to ensure the smooth operation of the microservices.
  • Data Consistency: In a microservice architecture, each microservice has its own database, which can lead to challenges in maintaining data consistency across the system. Implementing distributed transactions or eventual consistency strategies becomes necessary to address this issue.
  • Service Dependencies: Microservices often rely on other microservices to fulfill their functionalities. This introduces dependencies between services, and any issues or failures in one microservice can cascade and affect the entire system. Careful design and fault tolerance mechanisms are required to mitigate this risk.
  • Increased Development Overhead: Developing and maintaining multiple microservices requires additional development effort and coordination. Ensuring consistent design principles, communication protocols, and integration testing across microservices can increase the development overhead.

How and where is Microservice Architecture used?

Case NameCase Description
NetflixNetflix, the popular streaming platform, adopted microservice architecture to handle its massive user base and offer personalized recommendations. With microservices, Netflix can scale different components independently, ensuring high availability and fault tolerance. This architecture allows them to continuously deploy new features and updates without affecting the entire system. It also enables them to quickly adapt to changing customer demands and deliver a seamless user experience.
UberUber, the ride-sharing company, relies on microservices to power its complex ecosystem. By breaking down their monolithic application into smaller services, Uber can easily manage different functionalities such as user authentication, geolocation, payment processing, and driver dispatching. Microservices enable Uber to scale specific services based on demand, leading to efficient resource utilization and improved performance.
AmazonAmazon, the world’s largest online retailer, leverages microservice architecture to support its vast array of services and products. Each service within Amazon’s architecture is independently developed, deployed, and scaled. This approach allows Amazon to handle millions of transactions per second, ensuring reliable and fast service for its customers. Microservices also enable Amazon to experiment with new features and services without disrupting the entire system.
TwitterTwitter adopted microservices to address scalability challenges and improve service reliability. By breaking down their monolithic architecture, Twitter can handle significant spikes in user activity, such as during major events or trending topics. Microservices allow Twitter to distribute the load across multiple services, preventing system failures and ensuring uninterrupted access for users. Additionally, microservices enable Twitter to introduce new features and iterate quickly.
SpotifySpotify, the popular music streaming platform, utilizes microservices to deliver personalized music recommendations and maintain a seamless listening experience. With microservices, Spotify can analyze user preferences and behaviors in real-time, providing personalized playlists and recommendations. This architecture also enables them to handle millions of concurrent users and ensure low latency streaming. Microservices allow Spotify to continuously improve its recommendation algorithms and deliver a personalized music experience.
AirbnbAirbnb, the online marketplace for lodging and homestays, relies on microservices to manage its extensive platform. By breaking down their architecture into smaller services, Airbnb can handle various functionalities such as search, booking, payments, and reviews. Microservices enable Airbnb to scale specific services independently, ensuring efficient resource allocation and seamless user experience. This architecture also allows Airbnb to introduce new features and integrations without impacting the entire system.
GoogleGoogle utilizes microservices extensively across its suite of products and services. Microservices enable Google to handle massive amounts of data and provide fast and reliable search results. By breaking down their applications into smaller, manageable services, Google can distribute the workload and scale specific components based on demand. Microservices also allow Google to experiment with new features and services while maintaining overall system stability.
PayPalPayPal, the online payment platform, adopted microservices to enhance its scalability and ensure secure and reliable transactions. Microservices enable PayPal to handle millions of concurrent users and process numerous transactions simultaneously. This architecture also allows PayPal to easily add new payment methods, integrate with external services, and quickly adapt to evolving security requirements. Microservices help PayPal deliver a seamless payment experience to its users while maintaining high availability.

Cases when Microservice Architecture does not work

  1. Lack of clear service boundaries: Microservice architecture works best when there are clear and well-defined boundaries between services. However, if the system is highly interdependent or tightly coupled, it can be challenging to break it down into smaller, independent services. In such cases, adopting a microservice architecture may lead to increased complexity and difficulties in managing the system.
  2. Small-scale applications: Microservices are designed to handle large and complex applications with multiple teams working on different services. If the application is relatively small and can be easily managed by a single team, adopting a microservice architecture may introduce unnecessary complexity, overhead, and operational costs without providing significant benefits.
  3. Performance overhead: Microservices introduce network communication between services, which can add latency and increase response times compared to a monolithic architecture where all components are tightly coupled. In scenarios where low latency and high-performance are critical, such as real-time data processing or high-frequency trading systems, a monolithic architecture might be more suitable.
  4. Limited resources and expertise: Implementing and managing a microservice architecture requires a certain level of technical expertise and resources. If an organization lacks the necessary skills, experience, or infrastructure to effectively adopt and maintain microservices, it may lead to suboptimal results, including increased development and operational costs, reduced productivity, and lower system stability.
  5. Legacy systems and dependencies: In cases where the existing system heavily relies on legacy technologies, databases, or third-party libraries that are not compatible with a microservice architecture, it can be challenging to migrate or integrate them seamlessly. The effort required to refactor or replace these dependencies may outweigh the potential benefits of adopting microservices.
  6. Highly regulated industries: Certain industries, such as finance, healthcare, or government, have strict regulatory and compliance requirements. Adhering to these regulations can be easier to achieve in a monolithic architecture, where all components are tightly controlled and audited. Introducing microservices may increase the complexity of ensuring compliance, as each service needs to be independently monitored, secured, and audited.
  7. Team dynamics and communication: Microservice architecture often involves multiple cross-functional teams, each responsible for developing and managing a specific service. Effective communication and collaboration between teams become crucial for the success of the architecture. If the organization lacks proper communication channels, coordination, or team dynamics, it can lead to delays, conflicts, and difficulties in maintaining system-wide consistency and coherence.

TOP 10 Microservice Architecture Related Technologies

  • Java

    Java is a widely used programming language for building microservices. It offers a strong ecosystem with rich libraries and frameworks like Spring Boot, which simplifies the development process. Java’s scalability, reliability, and cross-platform compatibility make it a popular choice for microservice architecture.

  • Node.js

    Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine. It has gained popularity in the microservice development community due to its event-driven, non-blocking I/O model, which allows for efficient handling of concurrent requests. Node.js is known for its lightweight and fast performance, making it suitable for microservice deployments.

  • Python

    Python is a versatile language known for its simplicity and readability. It offers various frameworks like Flask and Django, which provide convenient tools for building microservices. Python’s ease of use, extensive libraries, and strong community support make it a preferred choice for rapid development of microservice architectures.

  • Go

    Go, also known as Golang, is a statically typed language developed by Google. It has gained popularity for its simplicity, efficiency, and built-in support for concurrent programming. Go’s lightweight binaries and excellent performance make it an excellent choice for building scalable microservices.

  • Spring Boot

    Spring Boot is a Java-based framework that simplifies the development of microservices. It offers auto-configuration and opinionated defaults, allowing developers to focus on writing business logic rather than boilerplate code. Spring Boot’s extensive ecosystem and community support make it a top choice for building scalable microservice applications.

  • Express.js

    Express.js is a minimalistic web application framework for Node.js. It provides a simple and flexible way to build web services, making it ideal for microservice development. Express.js offers middleware support, routing capabilities, and a robust ecosystem of plugins, making it a popular choice for building lightweight and scalable microservices.

  • Kubernetes

    Kubernetes is an open-source container orchestration platform that simplifies the deployment and management of microservices. It provides features like automatic scaling, load balancing, and service discovery, making it easier to manage and scale microservice architectures. Kubernetes has become the de facto standard for deploying microservices in a containerized environment.

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssist in software development tasks, such as coding, testing, and debugging. Work under the guidance of senior developers to learn and improve skills. Collaborate with team members on projects and contribute to the overall development process.45,000 – 65,000
Middle2-5 yearsTake ownership of specific modules or features. Develop and implement software solutions with minimal supervision. Collaborate with cross-functional teams to define project requirements and deliverables. Mentor junior developers and provide technical guidance.65,000 – 85,000
Senior5-8 yearsLead the design and development of complex software systems. Provide technical expertise and guidance to the team. Collaborate with stakeholders to identify and prioritize project requirements. Mentor and coach junior and middle developers. Ensure code quality, performance, and scalability.85,000 – 110,000
Expert/Team Lead8+ yearsLead a team of developers and manage project timelines and deliverables. Provide technical direction and make strategic decisions. Collaborate with cross-functional teams and stakeholders to define project goals and requirements. Stay updated with the latest technologies and industry trends. Drive innovation and process improvement.110,000 – 150,000+

TOP 10 Facts about Microservice Architecture

  • Microservice architecture is an architectural style that structures an application as a collection of loosely coupled services.
  • Each service in a microservice architecture is responsible for a specific business capability and can be developed, deployed, and scaled independently.
  • Microservices communicate with each other through lightweight protocols such as HTTP and messaging queues.
  • Microservice architecture promotes decentralization and autonomy, allowing teams to work on different services independently, using different technologies and programming languages.
  • Microservices can be deployed and scaled independently, enabling organizations to achieve better flexibility and agility in their software development and deployment processes.
  • Microservice architecture is known for its ability to improve fault isolation, as failures in one service do not necessarily impact the entire system.
  • Microservices facilitate continuous delivery and deployment practices, as each service can be independently tested and deployed without affecting the entire application.
  • Microservice architecture enables organizations to embrace a modular approach to software development, making it easier to understand, maintain, and evolve complex systems over time.
  • Microservices can be developed and maintained by small, autonomous teams, promoting faster development cycles and reducing coordination overhead.
  • Microservice architecture has gained popularity in recent years, with many large-scale organizations, including Netflix, Amazon, and Uber, adopting this architectural style to build scalable and resilient systems.

Soft skills of a Microservice Architecture Developer

Soft skills are an essential part of being a successful Microservice Architecture Developer. In addition to technical expertise, developers need certain non-technical skills to effectively collaborate with teams, communicate ideas, and deliver high-quality microservices. Here are the soft skills required at different levels of experience:


  • Adaptability: Ability to quickly learn and adapt to new technologies and frameworks used in microservice development.
  • Problem-solving: Aptitude for analyzing and troubleshooting issues that arise during microservice development.
  • Teamwork: Capability to work collaboratively with teammates, contributing to the overall success of the project.
  • Attention to detail: Strong focus on ensuring the accuracy and quality of the microservice code.
  • Effective communication: Skill to clearly communicate ideas, challenges, and progress to team members and stakeholders.


  • Leadership: Ability to take ownership of microservice development tasks and guide junior developers when necessary.
  • Time management: Proficiency in managing multiple tasks and meeting deadlines while maintaining the quality of the microservices.
  • Critical thinking: Capability to analyze complex problems and devise innovative solutions for microservice architecture challenges.
  • Mentoring: Willingness to share knowledge and mentor junior developers to enhance their skills in microservice development.
  • Collaboration: Aptitude for effectively collaborating with cross-functional teams and stakeholders to achieve project goals.
  • Adaptability: Flexibility to adapt to changes in project requirements and adjust the microservice architecture accordingly.
  • Attention to detail: Meticulousness in ensuring the scalability, security, and performance of microservices.


  • Strategic thinking: Ability to align microservice architecture with business goals and anticipate future needs.
  • Decision-making: Proficiency in making informed decisions concerning microservice design, technology selection, and trade-offs.
  • Project management: Skill to effectively manage large-scale microservice projects, including resource allocation and risk mitigation.
  • Influence: Capability to influence and inspire the team, driving innovation and continuous improvement in microservice development.
  • Conflict resolution: Aptitude for resolving conflicts within the team or with stakeholders, ensuring a harmonious working environment.
  • Continuous learning: Commitment to staying updated with the latest advancements in microservice architecture and industry trends.
  • Client management: Ability to understand client requirements and effectively communicate the benefits and challenges of microservice solutions.
  • Business acumen: Understanding of business concepts and the impact of microservice architecture on organizational objectives.

Expert/Team Lead

  • Strategic leadership: Ability to define the long-term vision for microservice architecture and guide the team towards its achievement.
  • Empowerment: Skill to empower team members, fostering their growth and autonomy in microservice development.
  • Architecture design: Proficiency in designing scalable, resilient, and secure microservice architectures for complex enterprise systems.
  • Quality assurance: Capability to establish robust testing and quality assurance practices for microservices.
  • Technical mentorship: Expertise in providing technical guidance and mentorship to team members, promoting their professional development.
  • Business development: Capability to identify opportunities for applying microservice architecture in new projects or client engagements.
  • Thought leadership: Ability to contribute to the microservice architecture community through thought leadership, publications, and conference presentations.
  • Risk management: Proficiency in identifying and mitigating risks associated with microservice architecture implementation.
  • Collaboration with stakeholders: Skill to collaborate effectively with stakeholders, understanding their objectives and aligning microservice solutions accordingly.
  • Continuous improvement: Commitment to driving continuous improvement in microservice development processes, tools, and methodologies.
  • Innovation: Willingness to explore and implement innovative approaches in microservice architecture to stay ahead of industry trends.

What are top Microservice Architecture instruments and tools?

  • Netflix Zuul: Zuul is a dynamic gateway service that provides dynamic routing, monitoring, resiliency, and security features to enable the dynamic composition of microservices. It was developed by Netflix and released as an open-source project in 2013. Zuul is known for its flexibility, scalability, and ability to handle high traffic loads.
  • Apache Kafka: Apache Kafka is a distributed streaming platform that is widely used for building real-time data pipelines and streaming applications. It was initially developed by LinkedIn and later open-sourced in 2011. Kafka provides a scalable, fault-tolerant, and high-throughput messaging system, making it a popular choice for microservice architectures.
  • Netflix Eureka: Eureka is a service registry and discovery server developed by Netflix. It allows microservices to register themselves and discover other services within the ecosystem. Eureka provides a REST-based API for service registration and discovery, making it easier to implement load balancing, failover, and dynamic routing in microservice architectures.
  • Docker: Docker is an open-source platform that allows you to automate the deployment, scaling, and management of applications using containerization. Containers provide a lightweight and isolated environment for running microservices, making it easier to package and deploy them across different environments. Docker has gained significant popularity in the microservices community due to its portability and efficiency.
  • Kubernetes: Kubernetes is an open-source container orchestration platform developed by Google. It provides a robust and scalable infrastructure for managing containerized applications, including microservices. Kubernetes automates the deployment, scaling, and management of containers, making it easier to manage complex microservice architectures.
  • Envoy Proxy: Envoy is a high-performance proxy developed by Lyft. It is designed for cloud-native applications and provides advanced features such as load balancing, service discovery, circuit breaking, and observability. Envoy is known for its performance, scalability, and extensibility, making it an excellent choice for microservice architectures.
  • Zipkin: Zipkin is a distributed tracing system that helps in troubleshooting and monitoring microservice architectures. It provides visibility into the latency and dependencies of requests flowing through the system, allowing developers to identify performance bottlenecks and optimize their microservices. Zipkin was initially developed by Twitter and later open-sourced in 2012.
  • Prometheus: Prometheus is an open-source monitoring and alerting toolkit that is widely used in microservice architectures. It collects and stores time-series data from various sources, allowing you to monitor the performance and health of your microservices. Prometheus provides a flexible query language and powerful alerting capabilities, making it a popular choice for monitoring microservice architectures.
  • Jaeger: Jaeger is an open-source, end-to-end distributed tracing system developed by Uber. It provides insights into the performance and behavior of microservices, helping developers understand the flow of requests and identify bottlenecks. Jaeger supports multiple programming languages and integrates well with other observability tools, making it a valuable instrument for microservice architectures.

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