Depending on your project needs and business goals, we can decide upon the best programming language to craft robust and scalable solutions. By leveraging various programming languages, we can help you either bring your projects to life, or continue in the same language that what you have started your project in, or even propose better tools to reach your business goals.
The strategic decisions in working with one framework or another allows us to accelerate development timelines, ensure code quality, and provide personalized solutions that suit your business needs. We have always worked with the most popular frameworks, which have market traction and allow scaling.
The seamless integration of these frameworks constitutes the impact that a project can have. Our team of skilled developers is well-versed in utilizing a wide range of frameworks, such as Spring, ReactJS, Angular, Flutter, and more, to streamline the development process and deliver exceptional solutions.
We are cloud-agnostic and official partners of AWS, GCP, and Azure and can work with any of these three major cloud providers, as well as with on-prem infrastructures.
We use Docker and Kubernetes for containerization and orchestration, Terraform and Terragrunt for Infrastructure as Code (IaC), ArgoCD, Jenkins, and Ansible for continuous deployment and automation, Crossplane for cloud resource management, and Grafana, Loki, and Prometheus for monitoring and metrics.
Our skilled team comprises cloud architects, engineers, developers, and DevOps experts with extensive experience. They oversee every aspect of the implementation process, ranging from architecture design to the continuous maintenance of the platform.
Our colleagues have multiple certifications, such as: Certified Google Cloud Platform Architect, Certified Google Cloud Data Engineer, AWS Certified Solutions Architect, Azure Data Engineer, Cloudera CCA Administrator.
We’ve worked with a wide range of databases throughout the years in the 400 projects we’ve implemented so far. Whether it’s relational databases, such as MySQL, PostgreSQL, OracleDB, document-based databases, such as MongoDB, column-based, like Cassandra, Apache Druid, Big Query, key-value databases, such as redis, or distributed file storage, like HDFS or GlusterFS, we have experience in implementing all of them, based on project needs.
Moreover, we have expertise and know-how in working with cloud-based object storage solutions, such as Amazon S3, Google Cloud Storage, Azure Blob Storage, and Minio, and have implemented solutions with high requirements for search and indexing - Elasticsearch or Solr.
As you can see, we have the necessary know-how in a broad spectrum of databases to make the right decision. By choosing the proper database, you can reduce the amount of time managing data, explore various data analysis approaches, and turn disparate information into valuable insights.
Our development teams are qualified and can work with any of the below databases, object storage, persistence engines or search engines.
Data processing is a dynamic domain that continually evolves to address the challenges posed by ever-expanding data sets, intensive data transformations, and the need for fast, reliable, and cost-effective outcomes. Tools such as Apache Spark, Kafka, Kafka Streams, MQTT, Airflow, Apache Beam, Apache NiFi, dbt, Databricks, and Snowflake help us in this endeavor.
As vast volumes of data are generated at unprecedented rates, the efficient and systematic handling of this information is paramount. Through data collection, cleaning, integration, transformation, and analysis, you can extract meaningful patterns, trends, and correlations.
Our big data team of experienced big data architects, big data engineers and developers, data scientists, machine learning engineers, and big data business analysts, are ready to hop on new challenges for your innovative project.
We have hands-on experience and boast a number of certifications, among which we can mention: Certified Google Cloud Platform Architect, Certified Google Cloud Data Engineer, Azure Data Engineer, AWS Certified Solutions Architect, Cloudera CCA Administrator, Apache Cassandra 3.x Developer Associate (DataStax), Professional Machine Learning Engineer.