Author: GS Lab

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Understanding the basics of Microsoft Azure Migration

Microsoft Azure kicked off in February 2010; it is seen evolving as one of the leading cloud infrastructure service providers across the globe for application management via Microsoft-managed data centers. It provides various cloud services like computing, analytics, networking, and storage. It not only provides software as a service (SaaS), platform as a service (PaaS),...

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Silver Medal at Kaggle’s “U.S. Patent Phrase to Phrase Matching” Competition

Kaggle competitions are some of the biggest and most competitive data science platforms, drawing hundreds of teams from across the globe. Data scientists at GS Lab participate in Kaggle competitions to continually enhance their expertise in applying cutting-edge and emerging technologies to real-world applications. In this vein, Piyush Chauhan and Krushnakant Mardikar worked on the...

GS Lab and GAVS to join hands

“Nothing splendid has ever been achieved except by those who dared believe that something inside them was superior to circumstance.” –  Bruce Barton GS Lab and GAVS Technologies are coming together to form GS Lab | GAVS. GS Lab has been focused on Digital Product Engineering and has built a strong technical competency in the...

VM-to-K8s

Migration of VM based deployment to Kubernetes

Organizations are quickly migrating from virtual machines (VMs) to a cloud-native platform constructed around container technologies like Kubernetes to deal with high application availability, easier scalability and resilience. In this blog, we discuss key factors to consider while migrating VM-based applications to Kubernetes. This may be useful for those who are currently running their microservices...

Latency Resolved with a WebRTC Media Stack_Featured Image

Latency Resolved with a WebRTC Media Stack

The last GS Lab blog titled Exemplifying the streaming protocol - WebRTC discussed different WebRTC topologies, their advantages and disadvantages, and how selective forwarding units (SFU) architecture is more scalable and cost-effective than a microcontroller (MCU) and full-mesh. We had also discussed a hybrid topology — a combination of SFU and MCU architecture where the...