Cloud, compute, networking and foundational platform infrastructure.
A story about Spark, scheduling, and a cloud bill that refused to make sense. Chapter 1: A Fresh Start on Kubernetes Every migration story starts with optimism, and ours was no different. We had just moved our Spark workloads from EMR to Kubernetes (EKS). On paper, it was…
The JioHotstar platform receives in excess of 40TB data every day. At 2.1 million messages per second. At this scale, every superflous byte is costly, like real money costly. In this blog, we cover strategies that helped us optimise our ingest workflow which ultimately saved…
Introduction/TL;DR At JioHotstar, we have been thinking a lot about how to give developers a better AI-assisted engineering experience. Once coding agents started becoming useful for day-to-day work, the next natural question was: how do we help those agents understand our…
by Divakar Raju The panicked messages started rolling in from all our dev and application teams, outbound calls in our staging environment were randomly timing out, and some external requests were inexplicably taking over 9 seconds to complete. In a modern microservices…
by Keerthivaasan K In the season finale of Silicon Valley, there’s a classic scene: Pied Piper is live-streaming a rescue, traffic is melting the servers, and the team is pulling a “heroic save” at the 11th hour. It makes for great TV. It makes for a terrible career as an SRE.…
Advertising is a key source of revenue in most businesses. It certainly forms a key pillar for JioHotstar. There is so much technology hidden under the surface. In this blog, we will cover some of the complexity that gets unlocked when we render an ad on our content. Every…
At PhonePe, we process a staggering 400 million transactions a day—amounting to over 10 billion monthly, operating at a scale that places it among the largest payment platforms globally. Managing such scale would typically require a massive customer support infrastructure for…
How we run a personal AI agent for everyone at Razorpay: always on, multi-model, and safe by construction. Contributors: Siddharth Tripathi Today, more than 220 Razorpay employees each have their own always-on AI agent. On a typical day, about 84 of them are actively working.…
Introduction Generative AI offers a path to content creation at speeds and scales that traditional pipelines cannot match. One high-value use case: making existing IP characters-sports presenters, show hosts, brand ambassadors -deliver new scripts in their own likeness, without…
Network tokenization vs PCI tokenization: how they differ at the architecture level, what each does to authorization rates, fraud, PCI scope, and vendor lock-in
Introduction As JioHotstar serves a vast, diverse audience, generative AI is crucial for fast, scalable content creation across languages and formats, capabilities that traditional methods cannot match. Content systems are rapidly shifting to generative-first architectures,…
Explores the shift to AI-driven Agentic Commerce and how Juspay powers secure, verifiable infrastructure for this intent-based evolution.
The Problem With Assumed Security As systems scale, security shifts from a one-time setup to an ongoing architectural responsibility that needs continuous attention as infrastructure evolves and teams change. A key risk in this environment is the gap between assumed and actual…
Infrastructure as Code (IaC) is often treated as the holy grail of Site Reliability Engineering (SRE). We use tools like SaltStack and Ansible, alongside golden images and post-install scripts, to define our ideal state. But here is the hidden secret of infrastructure…
In the world of live sports streaming, there is no “undo” button. Live events bring out emotions in viewers and any minor buffering or failure can cause disappointment in our customers, especially if it happens in crunch moments of the live event. Our Live video validation has…
By: Jason Reaves A lot of focus specifically surrounding DPRK has been on IT workers but there are multiple entities performing various schemes. One of the more prolific ones being interviewing developers and having them work on TA supplied code repositories from various sites.…
AI Video Generation at Scale — Prompts Don’t Scale AI video generation has rapidly moved from a mere novelty to a practical tool, allowing users to easily create brief video clips from text prompts. While generating a single, impressive video is straightforward, the true…
If you’ve ever streamed a high-stakes match on JioHotstar, the experience probably felt like a simple “tap and play”. It’s a seamless transition from the app icon to the stadium; a flick of a finger and you’re right there, cheering for your players to hit another six. Beneath…
Client Side Ad Insertion(CSAI) levels up using multi-period DASH in the Android ecosystem. This is our journey to upgrade ExoPlayer to leverage multi-period DASH.Introduction Multi-period DASH is a variant of DASH format that offers significant advantages, such as the ability to…
Cost management is a critical factor in the implementation and maintenance of a data platform, as it often accounts for a significant share of an organization’s overall infrastructure costs and must consistently deliver strong return on investment. As data platforms scale to…
Gen AI Video — Building A Scalable Validation Framework We discuss building strong eval frameworks as part of our Generative AI studio to ensure that generated video maintains a high quality bar.Introduction As JioHotstar scales to serve one of the world’s largest streaming…
Modernizing Dependency Management: Beyond CocoaPods (Part 2 — The Execution) Recap In Part 1, we shared the strategy — why we had to move away from CocoaPods, how we evaluated our options, and the phased migration plan we designed to modernize 60 pods over 2 quarters without…
Modernizing Dependency Management: Beyond CocoaPods (Part 1 — The Strategy) CocoaPods formed the spine of our iOS build workflow. In this two part blog, we’re sharing our journey to transparently switch away from CocoaPods to SPM, minus the drama, but plus all the scars!Where We…
At ShareChat, Redis APIs were embedded in almost everything: caches,recommendation delivery systems,deduplication queues, ranking pipelines, counters, you name it.
At Postman, we serve millions of developers building, testing, and documenting APIs. As our platform scaled, so did the complexity of managing...
Introduction: The Need for Bulletproof Deployments at Scale As our platform scaled and user expectations rose, so did the need for rock-solid infrastructure. One critical challenge surfaced: ensuring zero-downtime deployments while rolling out new features at speed. Despite…
Our recording infrastructure focuses on WebRTC video and audio. The goal is to allow moderation teams to access clean, archived footage—composite or individual—for compliance, post-production, or analysis.
Introduction In Android development, network performance issues can be notoriously hard to debug. While tools like Firebase Performance Monitoring provide high-level insights like error rates and latency, they fall short in providing granular visibility into each stage of the…
Learn why tracking the evolution of your data architecture in Hasura's Data Delivery Network (DDN) isn't just nice to have – it's essential for robust governance and intelligence.
Modern recommender system models can be very compute- and memory-intensive and expensive to serve. In this post, we’ll go over some of the things we did at ShareChat to make our inference more cost effective.
We’re thrilled to introduce the Platform Dashboard for Hasura Data Delivery Network (DDN) – a comprehensive solution to elevate your operational efficiency, data observability, and decision-making.
In this blog post, we’ll explore the features and limitations of the current monitoring setup, how we’re leveraging Grafana, Prometheus, and Hasura’s Data Delivery Network (DDN) to offer a more comprehensive solution, and what this means for the future of monitoring in Hasura…
This blog post provides a high-level overview of PPeC (PhonePe Cloud) Agent’s architecture, its interaction with other key components like the PPeC API and PPeC Proxy, and how it optimizes tasks such as VM creation, resource allocation, and dynamic disk management. Evolution and…
We’re excited to announce that Hasura Data Delivery Network (DDN) now offers GraphQL subscriptions, making it easy for developers to build real-time features into their applications.
We are excited to introduce plugins to Hasura Data Delivery Network (DDN), a powerful framework designed to let you easily extend the capabilities of your API with custom logic via HTTP webhooks.
Whether you’re modernizing your infrastructure, enabling telehealth, or building AI-driven solutions, Hasura DDN ensures your platform is ready to meet the data challenges of today and tomorrow.
Check out this step-by-step guide to integrating and composing data from different domain APIs using Hasura Data Delivery Network (DDN).
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…
We are excited to announce the release of Hasura’s native data connector for MongoDB. With this connector, users are able to rapidly author extremely capable APIs for data stored in MongoDB using Hasura’s Data Delivery Network (DDN).
Our commitment has always been to empower developers to build and scale applications effortlessly. As part of that commitment, we ensured Hasura’s Data Delivery Network (DDN) can harness the strength of the world's most advanced real-time analytics database, ClickHouse.
We are beyond thrilled to announce that Hasura Data Delivery Network (DDN) is now in beta!
Welcome to the launch month for our next-generation product, the Hasura Data Delivery Network (DDN), built on the Hasura v3 GraphQL engine.
The Dutch cloud-based enterprise resource planning (ERP) system uses Hasura to offload tedious backend development. With Hasura in its tech stack and handling so much of the backend, the OpusFlow team can focus on its core work of streamlining business operations for its clients.
CRED has evolved to be a multi-product platform, and that necessitates the use of multiple microservices. The microservices we have run primarily on AWS ECS (Elastic Container Service). Within our ecosystem, these microservices predominantly operate on AWS ECS (Elastic Container…
Learn about open source Hasura GraphQL Engine v3, like the core graphql-engine written in Rust, that redefines building the best cloud-native APIs.
We are excited to unveil the alpha version of Hasura Data Delivery Network (DDN) and share key features of our new platform building on the advancements introduced in Hasura version 3.
Kafka, a distributed streaming platform, has become the backbone of PhonePe’s data infrastructure, enabling them to seamlessly handle the staggering flow of information.
Last year, we announced the Hasura Data Connector framework, which lets you build connectors and bring your own data sources to Hasura. Today, we are now excited to announce a way to deploy these data connectors you build to Hasura Cloud.