Cloud data storage & analysis technologies | Tenesys

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IT systems have been used in many analytical fields. As they developed, they supported the areas of accounting, process management, processing, and interpreting data. Today, we see more and more often that the ability to process large amounts of data facilitates better decision-making and the achievement of competitive advantage.

There are many types of databases on the market, but there are also tools that allow the efficient processing and aggregating of data stored in files in various archives. The selection of appropriate data storage and processing tools is complex and requires specialist knowledge. We help our clients design and optimize database solutions, data warehouses, and data lakes, as well as prepare analytical tools and data processing processes.

The most frequently used technologies are:

SQL databases: PostgreSQL, MySQL, SQL Server

NoSQL databases: Redis

Full-text search databases: Elasticsearch, Solr

Time-series databases: InfluxDB

Document-based databases: MongoDB

and other data storage and analysis technologies available in the form of services in AWS, Azure and Google Cloud Services.

Other Technologies

Application development in serverless technologies

When building serverless solutions in a cloud environment on a daily basis, we use Python and Go languages. Serverless services allow you to use cloud resources in the most optimal way so you can pay only for what you use (pay-as-you-go) by getting rid of performance limitations.

CI / CD processes

The Continuous Integration and Continuous Delivery tools allow building a process of uninterrupted software deployment in the server environment. Well-prepared systems make it possible to test and implement even several thousand changes a day in a way that is unnoticeable to the customer. There are various CI/CD tools available on the market today, the choice of which depends on many factors.

Apache, Nginx, and other web tools

Web technologies allow access to services and websites through browsers. The most common web servers are Apache, Nginx, and IIS. Many other additional components are used around these servers to ensure the availability and speed of websites.

Kafka and streaming/queuing systems

Streaming and queuing systems are used to exchange information between different elements of the IT system. They are especially helpful in microservice environments that use publishing and subscribing mechanisms to ensure that messages reach their recipients. Queuing systems can also be used to prevent message loss, which happens when messages end up on highly loaded back-end services.

Ansible, automation and system orchestration

Automation and system orchestration tools support the management of server groups, especially when IT environments use automatic scaling mechanisms. Automation and orchestration tools will ensure consistency of environments and their configuration, so you can focus on your business.

Terraform and Infrastructure as a Code

A professional approach to building IT environments requires the use of tools that describe the technical infrastructure as a code. It allows us to quickly build repetitive environments and there run applications for development and production purposes. We are able to maintain consistency of environments and order, which is difficult to achieve when environments are built and modified manually.

Kubernetes, Docker and other technologies related to containerization

Containers with a set of tools for their management and application deployment are an indispensable element used to build modern microservice environments. Compared to monolithic large applications, microservice environments are more reliable as well as easier to develop and scale.

Cloud environment and cloud technologies

The cloud environment is an infrastructure distributed all over the world that provides access to IT services under the pay-as-you-go model. The cloud environment enables the rapid development of applications using ready-made solutions. They guarantee the highest security standards and automatic adaptation of resources to customer needs. For many companies, this solution is one of the most important factors contributing to their success.

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