Remove tag data-infrastructure
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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

When a merchant comes onboard at DoorDash, we add their internal SKU data — raw merchant data — to our retail catalog. SKU data from different merchants come in varying formats and quality; they may, for example, have missing or incorrect attribute values. Examples include OpenAI’s GPT-4, Google’s Bard, and Meta’s Llama.

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How DoorDash Migrated from StatsD to Prometheus

DoorDash Engineering

Unfortunately, this was a challenge at DoorDash because of peak traffic failures while using our legacy metrics infrastructure based on StatsD. Just when we most needed observability data, the system would leave us in the lurch. That’s why we decided to migrate our observability technology stack to Prometheus-based monitoring.

AWS 82
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Cloud Analytics Powered by FinOps

Cloudera

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Cloud 75
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Docker Vs Virtual Machines(VMs)

Knowledge Hut

These gigantic servers are stored in a data warehouse called a Datacenter. Below Diagram (2) indicates a single server serving and sharing resources and data among multiple client machines Does this look simplified enough? One can access the data virtually from any location. That saves us time, resources, energy and revenue.

Python 52
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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

It’s one thing to get your data into a modern data cloud. Monte Carlo is thrilled to be part of the Snowflake Horizon partner ecosystem as we leverage many of the pre-built features Snowflake provides in order to help organizations reduce their data downtime and improve data quality at scale.

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25+ Best Cloud Computing Tools in 2024

Knowledge Hut

The company does not need to invest in any additional hardware or equipment or purchase physical data centers for storage and management. Most CSPs offer infrastructure, software, and other dependencies to operate applications and workloads. It can be used for testing, high-performance web development, and infrastructure maintenance.

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Setting Up Kafka Multi-Tenancy 

DoorDash Engineering

But setting up a different data traffic pipeline in a staging environment to mimic billions of real-time events is difficult and inefficient, while requiring ongoing maintenance to keep data up-to-date. In such a multi-tenant architecture, the isolation is implemented at the infrastructure layer.

Kafka 103