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Illia Sh., Full Stack Developer

Zaporizhzhya, Ukraine
Last Updated: 11 Aug 2023

- Experience in developing web applications using JavaScript (React.js, Node,js). - Good logical thinking, high level of responsibility. - Communicative, responsible, hardworking, result-oriented, and team player. - Good attention to details. - Intermediate+ English - Availability starting from ASAP

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Pavlo K., Full Stack Developer

Zaporizhzhya, Ukraine
Last Updated: 16 Aug 2023

- Developing web applications using Node.js, JavaScript, and TypeScript. - Experience with Express.js and Nest.js. - Writing tests unit and E2E - Strong knowledge of algorithms and data structures - Good logical thinking and team player. - Uper- Intermediate English. - Availability starting from ASAP

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Alexander Y., SOFTWARE ENGINEER

Poland
Last Updated: 8 Feb 2024

Software Engineer with a Computer Science background and 4+ years of full-stack development experience, specializing in building high-performance applications within the FoodTech, Financial, and Gambling domains. Expertise in JavaScript and TypeScript, alongside proficiency in backend technologies such as Node JS, Nest JS, and various databases including MongoDB, PostgreSQL, and MySQL. Adept in cloud services, particularly AWS, and DevOps tools like Docker and GitHub Actions. Demonstrated success in developing microservices architectures, implementing CI/CD pipelines, and managing scalable cloud infrastructure. Recognized for optimizing systems, resolving complex problems, and automating processes through robust technical solutions.

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Ivan N., Front-End Developer

Poland
Last Updated: 4 Jul 2023

- 5+ years of experience in software development - Solid knowledge of JavaScript, TypeScript, Angular, React.js, Node.js - Extensive banking background - Proactive in making solutions, skilled in complex development - Upper-Intermediate English. - Available ASAP - Location: Kraków, Poland

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Ruslan, Full Stack Engineer (more BE)

Georgia
Last Updated: 18 Dec 2023

Software Engineer with over 4 years of full-stack development experience in e-commerce, adTech, and media domains, specializing in JavaScript and TypeScript. Proven track record in building web applications utilizing technologies such as Node.js, Nest JS, React.js, and extensive experience with SQL and NoSQL databases. Adept at cloud services (AWS, GCP), devOps tools like Docker, and has a deep understanding of software development best practices including Agile and Scrum methodologies. Contributed significantly to key projects including a sports betting platform and outdoor advertising space platform, demonstrating skills in database schema deployment, message brokering with RabbitMQ, and optimizing user experiences. Strong emphasis on clean, maintainable code, and efficient development workflows, underscored by successes in system security, performance, and scalability.

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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 Mongoose 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 Mongoose developer on board with a trial period to confirm that you’ve hired the right one. There are no termination fees or hidden costs.

How does Upstaff vet remote Mongoose engineers? Arrow

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 Mongoose 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

Pros & cons of Mongoose

7 Pros of Mongoose

  • Mongoose provides a schema-based solution for working with MongoDB, allowing you to define the structure of your data in a clear and organized manner.
  • It offers easy integration with Node.js and Express.js, making it a popular choice for developers working with these technologies.
  • Mongoose provides built-in validation features, allowing you to ensure that your data meets the specified requirements before saving it to the database.
  • With Mongoose, you can define relationships between your data models using references or embedding, providing flexibility in designing complex data structures.
  • It supports middleware functions that allow you to perform actions before or after certain database operations, such as validating data, modifying data, or executing additional logic.
  • Mongoose simplifies the process of performing CRUD operations by providing a high-level API with methods like save(), find(), update(), and delete(), reducing the amount of boilerplate code you need to write.
  • It offers powerful query capabilities, allowing you to perform advanced queries using a simple and intuitive syntax, making it easier to retrieve and manipulate data from the database.

7 Cons of Mongoose

  • Mongoose introduces an additional layer of abstraction on top of MongoDB, which may add some performance overhead compared to using the native MongoDB driver directly.
  • It has a steeper learning curve compared to using the native MongoDB driver, as you need to understand and work with Mongoose’s schema and model concepts.
  • Mongoose can be overly verbose at times, especially when defining complex schemas or performing multiple database operations.
  • When working with large datasets, Mongoose’s automatic population feature can result in performance issues due to the increased number of database queries required.
  • It may not be suitable for all types of projects or use cases, especially if you require low-level control over your interactions with the MongoDB database.
  • Mongoose’s error handling can sometimes be less informative and harder to debug compared to using the native MongoDB driver.
  • Although Mongoose provides a rich set of features, it may not cover all the advanced functionality offered by MongoDB, requiring you to resort to the native driver for certain use cases.

What are top Mongoose instruments and tools?

  • Mongoose Virtuals: Mongoose Virtuals allow you to define virtual properties on your Mongoose schemas. Virtuals are document properties that you can get and set but that do not get persisted to MongoDB. They are great for formatting or combining fields, or for creating dynamic properties that compute their value based on other fields.
  • Mongoose Populate: Mongoose Populate is a powerful feature that allows you to automatically populate referenced documents using the specified path. It is particularly useful for retrieving related data from multiple collections in a single query, reducing the number of database calls and improving performance.
  • Mongoose Middleware: Mongoose Middleware provides a way to define functions that run before or after certain operations occur on a Mongoose model. It allows you to add custom logic to handle pre and post-processing of data, such as validating inputs, modifying data before saving, or triggering actions based on certain events.
  • Mongoose Query: Mongoose Query is a versatile tool that enables you to build and execute complex queries on your MongoDB database. It provides a fluent API for constructing queries, allowing you to specify conditions, projections, sorting, and pagination options. It also supports advanced features like aggregation pipelines and geospatial queries.
  • Mongoose Lean: Mongoose Lean is a performance optimization tool that allows you to retrieve plain JavaScript objects instead of fully-fledged Mongoose documents. This can significantly improve query speed and reduce memory consumption when you only need read-only access to the data and don’t require the additional functionality provided by Mongoose documents.
  • Mongoose Autopopulate: Mongoose Autopopulate is a plugin that automatically populates specified fields in your Mongoose schema when querying or saving documents. It simplifies the process of populating referenced data by eliminating the need to manually call the `populate()` method. This can save development time and make your code more concise.
  • Mongoose Validator: Mongoose Validator is a validation library that integrates with Mongoose to provide a wide range of pre-built and custom validation functions for your schema fields. It helps ensure the integrity and consistency of your data by validating inputs against defined constraints, such as required fields, string length, number range, email format, and more.
  • Mongoose Aggregation: Mongoose Aggregation is a powerful tool for performing complex data aggregation operations on your MongoDB collections. It allows you to group, filter, transform, and analyze data using a fluent API that closely resembles the MongoDB Aggregation Pipeline framework. This enables you to perform advanced data processing tasks efficiently within your Mongoose application.
  • Mongoose Timestamps: Mongoose Timestamps is a plugin that automatically adds `createdAt` and `updatedAt` fields to your schema. These fields are automatically populated with the creation and last modification timestamps when saving documents. This can be useful for tracking the history of changes to your data and implementing features like data versioning or auditing.

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 development tasks, work on small features or bug fixes, learn from more experienced developers, participate in code reviews and testing.$50,000 – $70,000
Middle2-5 yearsWork independently on development tasks, take ownership of medium-sized features or modules, collaborate with team members, provide guidance to junior developers, participate in code reviews and testing.$70,000 – $90,000
Senior5-8 yearsLead development of complex features or projects, mentor and guide junior and mid-level developers, contribute to architectural decisions, participate in code reviews and testing, collaborate with cross-functional teams.$90,000 – $120,000
Expert/Team Lead8+ yearsLead and manage a team of developers, drive technical strategy and decision-making, oversee project planning and execution, provide technical guidance and mentorship, collaborate with stakeholders and other teams, participate in code reviews and testing.$120,000 – $150,000+

Soft skills of a Mongoose Developer

Soft skills are essential for Mongoose Developers as they contribute to effective communication, collaboration, and overall success in their roles.

Junior

  • Adaptability: Able to quickly learn and adapt to new technologies and frameworks.
  • Teamwork: Works well in a team environment, actively contributes to discussions, and collaborates with team members.
  • Problem-solving: Can identify and solve issues independently, and seek help when needed.
  • Time Management: Manages time effectively to meet deadlines and prioritize tasks.
  • Attention to Detail: Pays attention to small details in code and documentation to ensure accuracy and quality.

Middle

  • Leadership: Takes ownership of projects and guides junior developers, providing mentorship and support.
  • Communication: Effectively communicates technical concepts to both technical and non-technical stakeholders.
  • Critical Thinking: Analyzes complex problems and finds innovative solutions.
  • Collaboration: Works closely with cross-functional teams to achieve project goals.
  • Adaptability: Quickly adapts to changing project requirements and priorities.
  • Conflict Resolution: Resolves conflicts within the team and promotes a positive work environment.
  • Self-Motivation: Takes initiative and shows enthusiasm in tackling new challenges.

Senior

  • Strategic Thinking: Develops long-term plans and strategies for software development projects.
  • Mentorship: Guides and mentors junior and mid-level developers, helping them grow in their careers.
  • Decision Making: Makes informed decisions based on analysis and experience.
  • Project Management: Oversees the planning, execution, and delivery of complex projects.
  • Client Relationship Management: Builds and maintains strong relationships with clients, ensuring their satisfaction.
  • Innovation: Drives innovation within the team and explores new technologies and approaches.
  • Empathy: Understands and empathizes with the needs and perspectives of team members and stakeholders.
  • Conflict Resolution: Resolves conflicts within the team and promotes a positive work environment.

Expert/Team Lead

  • Strategic Leadership: Sets the overall direction and vision for the development team.
  • Technical Expertise: Possesses deep knowledge and expertise in Mongoose and related technologies.
  • Team Management: Manages and mentors a team of developers, ensuring their growth and success.
  • Business Acumen: Understands the business goals and aligns technical solutions accordingly.
  • Decision Making: Makes critical decisions that impact the success of projects and the organization.
  • Influence: Influences and inspires team members to achieve exceptional results.
  • Agile Methodologies: Implements and optimizes agile development methodologies and processes.
  • Strategic Planning: Develops long-term plans and strategies for the team and the organization.
  • Conflict Resolution: Resolves conflicts within the team and promotes a positive work environment.
  • Continuous Learning: Stays updated with the latest industry trends and continuously improves skills.
  • Effective Communication: Communicates effectively with stakeholders at all levels of the organization.

How and where is Mongoose used?

Case NameCase Description
1. Scalable Web ApplicationsMongoose is widely used for developing scalable web applications. Its flexible schema allows developers to easily define and modify data structures as per the application requirements, without impacting the existing data. This makes it ideal for handling large datasets and evolving application needs.
2. Real-time Collaboration ToolsMongoose’s ability to handle real-time data synchronization makes it a popular choice for building collaboration tools. Whether it’s a messaging app, project management tool, or collaborative document editing platform, Mongoose provides the necessary features to keep data in sync across multiple devices and users in real-time.
3. Content Management Systems (CMS)Mongoose offers a robust framework for building content management systems. Its schema-based approach allows developers to define structured content models with ease, making it simple to create, update, and manage various types of content. Additionally, Mongoose’s built-in validation and querying capabilities enhance the efficiency and security of CMS applications.
4. IoT ApplicationsMongoose is well-suited for developing Internet of Things (IoT) applications. With its lightweight footprint, it can run on resource-constrained devices, making it efficient for collecting, storing, and processing sensor data. Mongoose’s support for MQTT and WebSocket protocols enables seamless communication between IoT devices and the backend server.
5. E-commerce PlatformsMongoose is often utilized in the development of e-commerce platforms due to its ability to handle complex product catalogs, inventory management, and order processing. Its rich querying capabilities make it easy to implement advanced search and filtering functionalities, while its transactional support ensures data consistency during the purchasing process.

TOP 10 Mongoose Related Technologies

  • JavaScript

    JavaScript is the most fundamental language for Mongoose software development. It is a versatile and widely-used programming language that allows developers to create dynamic and interactive web applications. With its support for asynchronous programming and extensive libraries and frameworks, JavaScript is an essential tool for building Mongoose applications.

  • Mongoose

    Mongoose is a MongoDB object modeling tool designed to work in an asynchronous environment. It provides a straightforward and schema-based solution for interacting with MongoDB databases. Mongoose simplifies the process of defining models, querying data, and performing validations, making it a popular choice for developers working with MongoDB in Mongoose software development.

  • Express.js

    Express.js is a fast and minimalist web application framework for Node.js. It provides a robust set of features for building web applications, including middleware support, routing, and template engines. With its simplicity and flexibility, Express.js is often used in combination with Mongoose for developing scalable and efficient web applications.

  • Node.js

    Node.js is a server-side JavaScript runtime built on Chrome’s V8 JavaScript engine. It allows developers to build scalable and high-performance network applications. With its event-driven architecture and non-blocking I/O model, Node.js is well-suited for building real-time applications, RESTful APIs, and server-side components in Mongoose software development.

  • React

    React is a popular JavaScript library for building user interfaces. It provides a component-based approach to UI development, enabling developers to create reusable UI elements. React’s virtual DOM and efficient rendering make it a preferred choice for building dynamic and interactive user interfaces in Mongoose software development.

  • Vue.js

    Vue.js is a progressive JavaScript framework for building user interfaces. It emphasizes simplicity, performance, and flexibility. Vue.js provides a smooth learning curve and a rich ecosystem of libraries and tools, making it a popular choice for developers who prefer a lightweight and adaptable framework for Mongoose software development.

  • GraphQL

    GraphQL is a query language for APIs and a runtime for executing those queries. It provides a more efficient and flexible approach to data fetching and manipulation compared to traditional REST APIs. With its ability to request specific data requirements and reduce over-fetching, GraphQL is gaining popularity in Mongoose software development for building efficient and scalable APIs.

TOP 14 Facts about Mongoose

  • Mongoose is a popular object data modeling (ODM) library for MongoDB, a NoSQL database.
  • It provides a straightforward schema-based solution for modeling application data.
  • Mongoose allows developers to define the structure, validation rules, and relationships for their data.
  • With Mongoose, developers can easily perform CRUD operations (Create, Read, Update, Delete) on MongoDB collections.
  • Mongoose supports advanced querying capabilities, including filtering, sorting, and pagination.
  • It offers built-in support for data validation, allowing developers to ensure data integrity and consistency.
  • Mongoose provides middleware hooks that enable developers to add custom logic before or after certain database operations.
  • It supports features like population, which allows developers to automatically populate referenced documents in queries.
  • Mongoose provides a powerful query builder API that simplifies the process of constructing complex database queries.
  • It offers support for transactions, allowing developers to perform multiple database operations as a single atomic unit.
  • Mongoose supports indexing, which can greatly improve query performance by creating optimized data structures.
  • It has a large and active community, providing extensive documentation, tutorials, and support resources.
  • Mongoose is widely used in Node.js and JavaScript-based applications for building scalable and efficient data models.
  • It is compatible with various frameworks and tools, making it easy to integrate Mongoose into existing projects.

Cases when Mongoose does not work

  1. Mongoose does not work when there is an issue with the database connection. This can occur if the database server is offline or if the connection string is incorrect. It is important to check the database server status and verify the connection string to ensure proper communication between Mongoose and the database.
  2. Mongoose may not work if the schema definition is incorrect or incomplete. Schemas define the structure of the documents in a collection, and any mismatch between the schema and the actual data can result in errors or unexpected behavior. It is essential to review and validate the schema to ensure the correct mapping of data.
  3. Another case where Mongoose does not work is when there is a problem with the data validation. Mongoose provides built-in validation mechanisms that allow defining constraints and rules for data validation. If the data being saved or updated does not comply with the defined validation rules, Mongoose will throw an error. It is crucial to review the validation rules and ensure the data being operated on meets the specified criteria.
  4. Mongoose may fail if there are issues with the middleware functions. Middleware functions in Mongoose allow performing certain actions before or after specific operations, such as saving or removing a document. If there is an error in the middleware code or if the middleware is not properly registered, it can result in unexpected behavior or failures. It is necessary to review and debug the middleware functions to identify and resolve any issues.
  5. In some cases, Mongoose may not work due to conflicts with other libraries or frameworks. Mongoose relies on certain dependencies and may encounter compatibility issues if there are conflicts with other packages or frameworks used in the project. It is advisable to review the project dependencies and ensure there are no conflicting versions or incompatible libraries.

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