7th January 2022
SMARTLab drives data collaboration with CloudCover’s Data Pipes
CloudCover Data Pipes was chosen to create an end-to-end data pipeline to facilitate the exchange of data to build innovative solutions and proof of concepts.
1st November 2021
Managed DevOps on AWS for a leading online matchmaking platform with 35 million users
A leading online matchmaking platform with global operations needed to modernize and optimize AWS infrastructure for scalability and observability.
9th October 2021
At 2M RPS - a Defining Moment for Linkerd Adoption
Sharechat with more than 200 million users required a centralized way to manage security, adopt different load balancing and traffic shaping algorithms.
27st Sep 2021
CloudCover Data Lake Case Study
The goal of the project was to build a data lake to facilitate data scientists to ask questions of the data, build machine learning models on top of the data and to provide their partners (healthcare providers) with analytics.
11th June 2020
AWS Partner Case Study — Genflix
CloudCover, an Amazon Partner Network Advanced Consulting Partner, collaborated with Genflix and AWS to plan and implement a new VOD media infrastructure that aligned with Genflix’s business strategy and technology requirements.
18th September 2019
Analytics at Lightspeed with Google BigQuery
CloudCover performed an extensive study of ABG's existing system and assessed the key challenges. The process of reconciling data from multiple sources was a humongous task and required to be streamlined.
11th September 2019
HOOQ — Leading the OTT space in SE Asia
CloudCover helped HOOQ move to a microservices model that has emerged from the world of domain-driven design, continuous delivery, platform and infrastructure automation, scalable systems, polyglot programming, and persistence.
29th August 2019
Rummy Circle — Pioneer of online gaming in India
CloudCover helped Rummy Circle innovate and transform their legacy applications running on-premise by moving them to AWS and further re-architect them to make them cloud-ready.
13th June 2019
Hike's Journey to Google Cloud
To achieve better app performance on scale at a viable cost, Hike evaluated Google Cloud Platform services for performing ETL. The results indicated that GCP would help it build, test, and deploy applications quickly in a scalable, reliable cloud environment.
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