Android, iOS and cross-platform engineering.
The jobs are written in a way that most of the heavy lifting in terms of computation is done by BigQuery itself (parsed from GKE metering). We simply aggregate the results and push those back to another BigQuery dataset.
In this tutorial we will integrate Hasura with the low-code mobile app development tool Draftbit. We will scaffold a basic application with Draftbit, map the required data to a couple of GraphQL queries, and save those queries behind idiomatic REST endpoints in the Hasura…
FENCE — Leveraging Graph Database for detection of Fair Play Violation at Dream11 Dream11 takes pride in being a unique platform that enables over 110 million fantasy sports users to demonstrate their skills, showcase their sports knowledge, and connect deeper with the sport…
Millions of posts are created every day on ShareChat and Moj which makes timely and precise detection of Integrity Violating Content (IVC) crucial for ensuring the safety of our users and
If you have troubleshot Distributed Systems, you would realise that the maximum time is spent in trying to find out where the problem emanates from. Once the system-at-fault has been identified, the fix itself becomes very straightforward.
We used philosophies of open tracing for extracting various metrics from every single resource and collected Externally to create actionable items and build more intelligent infrastructure.
While our models demonstrate amazing speed and accuracy, they are data-hungry and require many labelled data for training. Labelling this data is a time consuming and costly process as it requires manual inspection.
Videos are an expressive, engaging and entertaining form of content. However, from a machine learning point of view, videos are incredibly complex as the information flows in both spatial and temporal dimensions.
Millions of posts are created every day on ShareChat and Moj which makes timely and precise detection of Integrity Violating Content (IVC) crucial for ensuring the safety of our users and the integrity of our platform.
Elasticsearch is a distributed document store that stores data in an inverted index. An inverted index lists every unique word that appears in any document and identifies all of the documents each
We just went through different solutions that we could use for the problem we have on our hands. All of these are valid solutions that could be used for different levels of scale.
our code needs to compare the number of times a user has already seen an ad to the configured frequency in real-time and for that, we need storage of how many times a user has seen an ad. On the face of it.
Furthermore, we have extensively used the bundle analysis tool for webpack called Bundle Analyser, which enables us to visualize both uncompressed and gzipped size of webpack output files with an interactive zoomable tree-map.
Automatic Natural Language Generation (NLG) has had a long tradition in the Computational Linguistics community, but the recent advances in deep learning have given it a new impetus. Its importance in the modern world cannot be overstated.
This article talks about some interesting scenarios we encountered with BT and the troubleshooting steps we followed through the entire process.
Netflix Archaius provides a DynamoDB client library with a FixedDelayPollingScheduler, which basically polls the config in fixed intervals. This was integrated to fetch sync/async thresholds, ignored APIs and similar other configs.
A guide to building scalable Flutter apps using GraphQL, Hasura and event-driven serverless, Part 3 - Building the Flutter Client
A guide to building scalable Flutter apps using GraphQL, Hasura and event-driven serverless, Part 2- Setting up Auth
A guide to building scalable Flutter apps using GraphQL, Hasura and event-driven serverless, Part 1 - Setting up Hasura
With an intent to make all deployments fully CD-compatible, the Infra team at ShareChat started to experiment with Spinnaker and we are happy to share our journey with you.
For a query post, inverted indices give us the potential result candidates for ranking. We then retrieve the codebooks for candidates, and also quantize the query to construct its codebook, according to its sub-vectors.
A guide to building apps using Flutter, GraphQL and Hasura
At ShareChat, our CNN architecture is based on DenseNet1, or ‘dense convolutional network’. DenseNet has a feed-forward processing layer architecture, connecting each layer with every other layer.