Laravel

Laravel is our choice for most of our backend development endeavors, serving as the primary technology for projects based on monolith architecture.

Renowned for its elegant syntax, robust features, and developer-friendly ecosystem, Laravel empowers us to build scalable and maintainable applications with efficiency and ease. With its comprehensive suite of tools and libraries, Laravel streamlines various aspects of backend development, including routing, authentication, database management, and templating. Its expressive ORM (Object-Relational Mapping) simplifies database interactions, while its built-in authentication system enables seamless user management. Furthermore, Laravel's modular structure and extensive documentation facilitate rapid development and code organization, making it an ideal choice for building monolithic applications that prioritize simplicity, reliability, and extensibility.

React.js and Next.js

In our front-end applications, we harness the power of React.js and Next.js to deliver dynamic and performant user experiences. React.js, renowned for its component-based architecture and virtual DOM, forms the foundation of our front-end development, enabling us to build interactive and responsive user interfaces with ease. Leveraging React.js's declarative approach to building UI components, we create reusable and modular UI elements that enhance maintainability and scalability across our projects. Complementing React.js, Next.js provides a powerful framework for server-side rendering and static site generation, offering benefits such as improved SEO, faster page load times, and efficient client-side navigation.

With Next.js, we seamlessly integrate server-side rendering into our React.js applications, allowing us to achieve optimal performance and SEO while maintaining a seamless developer experience. Together, React.js and Next.js empower us to build modern and feature-rich front-end applications that prioritize performance, scalability, and user engagement.

MongoDB

In our backend microservices architecture, MongoDB serves as the foundational database technology, enabling us to store and manage data efficiently in a flexible and scalable manner. MongoDB's document-oriented NoSQL database model aligns perfectly with the distributed and modular nature of microservices, allowing each microservice to maintain its own distinct data schema while still providing seamless data access and integration.

Leveraging MongoDB's flexible document structure, we can easily store and retrieve complex data types, hierarchical structures, and unstructured data, making it well-suited for handling diverse data requirements across our microservices ecosystem. Additionally, MongoDB's horizontal scalability and sharding capabilities ensure that our backend services can handle high volumes of data and scale seamlessly as our application grows.

ELK Stack

We utilize the ELK (Elasticsearch, Logstash, and Kibana) stack as our comprehensive solution for data visualization and advanced search capabilities. Elasticsearch acts as the heart of our system for a powerful and scalable search and analytics engine that allows us to index and search vast amounts of structured and unstructured data in real time. Logstash and Monstache plugin complements Elasticsearch by facilitating the ingestion, processing, and enrichment of data from various sources, enabling us to seamlessly collect and transform data for indexing.

In our development process, we adhere to the Scrum methodology, which enables us to deliver high-quality software efficiently through iterative and incremental development cycles. We utilize Jira as our primary project management software, leveraging its robust features to plan, track, and manage our Scrum projects effectively. With Jira, we organize our work into user stories, epics, and tasks, and prioritize them based on business value and customer feedback. Through Jira's sprint planning and backlog grooming functionalities, we define sprint goals, estimate tasks, and allocate work to team members, ensuring a clear and structured approach to sprint execution. This approach empowers our clients to track progress efficiently and easily.

DevOps transformation

We embrace a methodology that unites developers, IT operations, and quality assurance professionals in cross-functional teams that have all the necessary expertise to deliver working software. By relying on standardized environments and extensive automation throughout the development pipeline and infrastructure provisioning, we help organizations speed up innovations, improve efficiency and scalability, and achieve frequent and rapid delivery of their products.

Containerization & orchestration

We foster application containerization, as it is an integral part of the digital transformation of every enterprise. The software we build is modern in design, packaged in containers that speed up the entire application lifecycle. “Code once, runs everywhere” is the principle we follow to enable software portability, ease of management, and adaptability to scaling.

IaC

The principle of splitting complex applications into a series of smaller, specialized, and easily manageable services is widely adopted in how we provision infrastructure for running applications. Servers, databases, clusters, and roles are all provisioned by using small, distributed configuration modules that contain complete specifications of the infrastructure. By “codifying” infrastructure we eliminate time-consuming and error-prone efforts of the IT operations team to follow along with the fast-paced software development process. Furthermore, the infrastructure provisioned in this way is as well consistent and documented as are applications we build.

Kubernetes

Kubernetes is our go-to choice when it comes to container orchestration. Not only that deploying, managing, and scaling containers are much easier with managed Kubernetes clusters, but Kubernetes can also save organizations money by running applications with extremely low downtime and great performance without frequent support intervention, ensure your cluster always has just enough available resources for running applications, and maintain desired state of application instance in case of increased or decreased traffic.

If you think Kubernetes is a good choice only for large enterprises, we will help you understand how organizations of any size can benefit from deploying managed Kubernetes clusters for application management.

CI/CD

As we invest a lot in our capabilities to create exceptional software, automation has become a cornerstone of building, testing, and deploying code. We use modern Continuous integration/Continuous Delivery tools to automate and connect the entire software delivery process.

The pipeline we set up eliminates manual work, catches bugs early and allows push-the-button releases with the final aim to meet expectations of changing business dynamics.

Testing

Continuous testing is an integral part of our CI/CD practices enabling developers to remain on schedule without sacrificing crucial debugging and troubleshooting processes. Tests are executed often and early enough to ensure each software component works as expected. We instrument automated unit testing from the start, and expand tests down the road up to the final pre-production load tests.

Monitoring and Logging

Monitoring and logging play a pivotal role in ensuring the reliability, performance and security of modern software applications. They provide insights into system performance, detect anomalies, facilitate troubleshooting and enable proactive decision-making. We use some of the world’s most popular monitoring and log analysis tools like Prometheus, Grafana and ELK stack to make data-driven decisions and improve the overall efficiency of our software.

Security

While building modern applications using microservice architecture and containers bring enormous business benefits, they also make application security more challenging. Rich set of tools and infrastructure parts like code repositories, build servers, container registries and container orchestrators mandates security to be integrated in each aspect of the DevOps environment and each stage of application development.

Our DevOps security hygiene includes IAM roles, principle of least privilege, keeping passwords and secrets in a secure storage (out of source code), RBAC for Kubernetes clusters and other modern DevSecOps principles.

You manage your business, we manage your AWS environment! Our certified AWS Solution Architects will help you understand all the benefits of AWS cloud services, choose optimal architectural patterns that match the demands of your application and apply cost optimization models through various techniques such as elastic resource provisioning, savings plan, spot instances or reserved instances.

AWS

Assessment

At the start of your journey, we will assess your readiness for operating in AWS cloud and picture the business benefits. Identifying and bridging possible organizational and technical gaps is an essential part of this phase.

Architecting

In the next phase, we chose the right architecture based on your needs for performance, availability, and scalability. We will discover the advantages of various AWS compute, storage, and database models and come to the final architecture for your application.

Implementation

Once we come up with the final solution, you are ready for a new, modern operating model. Your application will be powered by the most advanced infrastructure and you will gain immediate access to the numerous state-of-the-art services at reasonable cost.

Maintenance

We will tailor the right level of operational support for your business, offering a range of benefits that can optimize your cloud cost, enhance security, and improve overall operations. By outsourcing the daily management and technical support, you can focus on your core business and strategic initiatives that drive revenue and growth.

If your company is still not harnessing the benefits of AI, there is a significant risk you will lag behind your competitors. AI can redefine the way your businesses function, but where to start?

There are many off-the-shelf generic AI tools around, but they rarely completely meet your organization’s specific requirements. Business operations usually seek some common improvements in decision-making processes, customer experience, or supply chain optimization, but they all have different sorts of data, sometimes incomplete or biased, which can be the major challenge when embracing AI in business. In addition, some AI models may face difficulties in accurately interpreting complex requirements and human intervention is necessary to ensure AI correctly captures the context of the requirements.

We go beyond generic AI applications and make an AI model work for you by tailoring it to your specific use case. We preprocess data, train and fine-tune machine learning models in real-time based on your data, and make your processes AI-powered.