Software backend ★ DevOps ★ Data science ★ CI/CD ★ Elasticsearch API ★ Redis Caching ★ Azure ★ Google Cloud ★ AWS
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Managing and deploying microservices applications using devops.
Setting up CPU-Memory optimized clusters on cloud for data science applications.
Optimization of compression, storage and access of big data using Apache Spark.
Deployment of containerized Flask application on cloud servers
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We provide Data Distribution, Data API delivery, Data analysis and Devops support services

The technologies we use are the following:

• Cloud providers: AWS, Azure, Google Cloud, DigitalOcean

• Scripting Languages: Python, Bash Scripting, Java, Terraform

* CI/CD integration: Azure DevOps, Travis CI, git CLI

• Database Queries: MySQL, PostgreSQL

• Libraries for Data Analysis: Pandas, Dask

• Containerization: Docker, Podman, Docker-compose, Kubernetes, Helm

* Observability: Prometheus, Grafana, Jaeger, Kibana

• Big Data Frameworks: ElasticSearch, Apache Spark, Dask

• ML/DL frameworks: Scikit-Learn, XGBoost, PyTorch, Keras, TensorFlow

• Frameworks: DJANGO, Flask

• Data Visualization: Dash, PLotly, Bokeh

• API Delivery: REST API, JSON API

• Automation : Selenium
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DevOps Automation: We build fully automated continuous integration/continuous development build and release to production pipelines.
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Data Distribution Services: We provide relevant data for your needs – no software, hardware or fetching skills need – we do the job as you request.
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Data API requests: We build custom APIs for websites having a rate-limited or data-limited APIs so that you can use the data in your applications.
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Data analysis: Gain powerful insight metrics with your data and improve performance indicators.
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Machine Learning Solutions: We build machine learning models based the data we gather for you, so you can build a powerful decision-making process.
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