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We enable migration of applications into cloud platform through containerisation and integration with associated services offered on Google Cloud Platform (GCP). Applications may be assessed and ported as Dockerized images, micro-services, GCP Functions, and more.
Application is pruned for improved performance. Best practices on containerisation and tailored to deliver reliably with high availability in a secured manner over Google App Engine, Cloud Run or GKE platforms in consideration with GCP security services such as Cloud Armour is part of the application migration effort.
Have delivered migration services for applications based on NGINX, WordPress, PHP, GO Language and more.
Lead industry practitioner in the area of DevOps. We transform our customers to adopt and adhere to best practices, tools and technologies of cloud platform for DevOps.
Build and development of CI/CD pipeline with technologies such as Terraform, CloudBuild, Docker on GCP has been part of our service offerings.
Integration with GitHub, Logs, Function As A Service, Load Balancer, collection of GCP services to achieve automated, reliable and highly available platform is core to our design principles.
Proficient in delivering infrastructure as code (IaC) using the infrastructure building blocks of Google Cloud Platform (GCP). Creation, Automation and Integration of GCP services using Terraform, VPC, Cloud SQL, Cloud Build and more are part of tailored offerings to our esteemed customers.
Know how of bare metal infrastructure, virtualisation platform along with containerised setup is a value that we bring on to the table at the time of design and delivery of IaC component.
Proof of Concepts, version control code are among a list of takeaways one may expect in the process meeting milestone.
We make businesses to optimise and bring more value through data analysis. We understand business and data in the process of data preparation.
We understand business and its data, train and deploy models to perform analytics related services.
Some of these requirements are realised with the help of Apache Beam, Cloud Composer, BigQuery, Data Studio, Dataflow, etc.
Experiences also include in the area of AI/ML toolkit - Kubeflow, Jupyter, TensorFlow, Python, etc.