Imagine a simple, standardized, data-source-agnostic data quality service that could complement existing approaches and dramatically improve data health through rapid feedback loops.
In a world where every delivery is 2 minutes away, and every service is only a tap away, the need for devices to be smarter, faster, and more secure constantly is high. At the same time, users are more aware of their data privacy and expect seamless experiences without the lag…
Learn why building a unified data access layer is one of the most critical requirements in the modern enterprise, and about making this transition.
This is written by Sarthak – Staff engineer, BankingThis write up summarizes some Opinions™️ that I have around good alerts, particularly in the context of infrastructure and platforms. The advice in here doesn’t represent universal truths, merely my experience over being…
By adopting Hasura, ISOS has elevated the quality and performance of its digital services. This positions ISOS to better serve clients and uphold their mission of saving lives.
Overview The Rule Executor Service at Myntra stands out as a pivotal tool in the domain of rule engine. While, at a glance, one might wonder what sets it apart from the myriad of rule engines available today, the difference is profound. In Myntra ecosystem, supporting numerous…
GraphQL and OpenAPI define agreements between data consumers and providers, but they have significant differences in capabilities and contract specifications. Whichever you use, it's essential to be intentional, understand your use case, and design for the best outcome.
Intro PhonePe’s apps have over 560m registered users, and are built by 250+ mobile engineers. The company ships 7 different apps (10, if you count Android and iOS separately). Operating at this scale, it’s been necessary to invest in and build a solid app platform. This blog…
The director of the data platform team explains that Hasura far surpasses traditional catalogs by providing critical integration with data warehouses – an essential capability for effective governance and self-serve access.
With the support of Python functions on Hasura DDN, you can focus on writing sync or async functions that return some data. Hasura will do the code introspection and generate all the configurations needed for a production-ready GraphQL API.
Leveraging the supergraph architecture to achieve data governance objectives is a strategic play that delivers a solid return on investment. It reduces complexity, lowers costs, and improves metadata accuracy.
In enterprise data and API landscapes, this helps address challenges with federated data access and makes use cases like API orchestration and API composition easier to tackle.
By — Kshitiz Swaroop ( Data Scientist, Data) In a world overflowing with data, finding correlations is easy. The real challenge is understanding causality. This article presents 2 case studies where the methodology was used to improve the organization wide estimates on the…
Discover what goes into a good GraphQL API for MongoDB, what it takes to build and maintain one, and how Hasura’s new framework allows developers to kickstart new projects and scale existing projects rapidly.
This blog post explores an effective strategy to streamline fragment management in your app by revising the feed setup and implementing lazy loading.
Chapter 2 : A Deeper Dive In chapter 1, we explored TStore’s functionalities like high-velocity ingestion, efficient reads, and flexible querying, its core concepts like Entities, Units, and Views and finally components like the Client Bundle, Schema Registry, Entity Ingestor…
Discover core tenets of the supergraph architecture and how it benefits API integration and API aggregation use cases in part one of this blog series.
Chapter 1 : Unveiling TStore Introduction You are standing in the queue at a billing counter of a grocery store, and when your turn comes, you bill your items and make a scanned payment using the PhonePe app. Typically, you witness the green screen instantly and the latest…
In our previous blog, we explored the numerous benefits of using Server-Driven UI (SDUI) over traditional native approaches. We also briefly discussed the three core components of LiquidUI – Server Driven UI Framework at PhonePe.
As PhonePe continues to grow rapidly, the scale and reliability of our infrastructure becomes more important. By developing our own infrastructure, we’re able to adapt quickly while keeping our services reliable. In order to meet our deployment needs, we use specialized in-house…
In the first implementation, HMH leveraged Hasura's Snowflake connector with Snowflake data warehouse to provide a lightweight API for service-to-service use cases within the organization.
GraphQL may have crested the Peak of Inflated Expectations since, but it's reached a broad flat plateau where the weather is mild and the terrain is gentle. There have been laudable successes and no overt failures. Needs were met, products were created, wars were fought, and…
This blog narrates our team’s journey with Compose, detailing its inception at PhonePe, its adoption by the Pincode team, our experiences, and the challenges we faced. The Pincode Android app UI is built using Jetpack Compose. As of July 2024, the app has over 2.5 million…
"With Hasura, we're not just keeping pace; we're setting the pace, offering new features and experiences faster than ever before," said the Head of Data Architecture, capturing the transformative effect of Hasura on the company’s data operations.