Oracle Programming Tutorials & Engineering Articles

Learn how NVIDIA NeMo Switchyard routes AI agent workloads across models using tuning-free and tunable routers that balance model capability, cost, and latency.

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning…

AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep…

Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete…

As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including California’s AB-2013 and the EU AI Act, software teams face a…

MRC’s support for multi-plane networks means we can connect over a hundred thousand GPUs with only two tiers of switches. This reduces the power required, the number of components that can fail, and the total cost of the network compared to conventional approaches.

Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on fragmented…

A2UI v0.9 introduces a framework-agnostic standard designed to help AI agents generate real-time, tailored UI widgets using a company’s existing design system. This update simplifies the developer experience with a new Agent SDK for Python, a shared web-core library, and official support for renderers like React, Flutter, and Angular. By decoupling UI intent from specific platforms, the release enables seamless, low-latency streaming of generative interfaces across web and mobile applications. Integrating with broader ecosystems like AG2 and Vercel, A2UI v0.9 aims to move generative UI from experimental demos to production-ready digital products.

Reasoning models are growing rapidly in size and are increasingly being integrated into agentic AI workflows that interact with other models and external tools.

The article discusses Pinterest's transition to a next-generation database ingestion framework designed to address the limitations of legacy systems.

Cloudflare's 24th quarterly DDoS threat report reveals that DDoS attacks surged 121% in 2025, totaling 47. 1 million attacks. The quarter was marked by a record-breaking 31.

This article details Uber's multi-year evolution from static, quota-based rate limiting to an intelligent, priority-aware load management system for their distributed databases (Docstore and Schema...

The article discusses Uber's collaboration with Oracle Cloud Infrastructure (OCI) and Ampere Computing to optimize the OCI AmpereOne M A4 Compute instances.

This article discusses Uber's implementation of Apache Pinot to manage and analyze its extensive inventory and catalog data efficiently.

This article discusses how Uber improved MySQL cluster uptime by adopting MySQL Group Replication (MGR) at scale.

This article discusses the improvements made to MySQL cluster uptime at Uber through the implementation of MySQL Group Replication (MGR).

The article discusses Uber's implementation of I/O observability for its massive petabyte-scale data lake, focusing on the challenges and solutions in monitoring data access patterns across its hyb...

The article discusses the advancements presented at the Open Compute Project (OCP) Summit 2025, focusing on the evolution of networking hardware for AI applications.

The article discusses how Meta is utilizing Large Language Models (LLMs) to enhance mutation testing and compliance in software development.

The article discusses the critical role of networking in supporting AI infrastructure, highlighting insights from the @Scale: Networking 2025 event where industry leaders shared advancements in AI ...

Uber's migration from Spark 2. 4 to Spark 3. 3 involved upgrading over 2 million Spark applications, utilizing innovative automation tools like Iron Dome.

The article discusses how Palantir optimizes Elasticsearch to enhance its defensive capabilities against poor access patterns, particularly focusing on indexing refresh semantics.

The article discusses the open-source release of Starlark Worker, a tool that integrates Cadence workflow orchestration with the Starlark scripting language.

This article discusses the architecture and implementation of Uber's HiveSync, a critical service for data replication across its massive data lake.

This article discusses how Uber's CacheFront serves over 150 million reads per second while ensuring stronger consistency guarantees.

The article discusses Uber's implementation of encryption at rest and disk isolation at scale using their Stateful Platform, Odin.

The article discusses the advancements in NVIDIA cuVS, a GPU-accelerated vector search library designed for high-performance indexing and low-latency retrieval.

The article discusses Finch, Uber's conversational AI data agent designed to streamline financial data retrieval within the Slack environment.

This article details Uber's migration from Apache Hive to Apache Spark SQL for ETL workloads, highlighting the motivations behind the transition, the architecture involved, and the challenges faced...

The article discusses Uber's implementation of a configuration-driven archival and retrieval framework designed to manage vast amounts of regulatory data efficiently.

The article discusses Uber's robust database backup recovery system, highlighting its importance for business continuity and disaster recovery.

This article discusses the development of Uber's Multi-Cloud Secrets Management Platform, designed to enhance security across its extensive microservices architecture.

The article discusses the advancements in multi-data center training for large language models (LLMs) using NVIDIA's NeMo Framework 25. 02 and Megatron-Core 0. 11. 0.

The article discusses FixrLeak, a generative AI-based framework developed by Uber to automate the detection and repair of resource leaks in Java applications.

The article discusses Uber's migration from Apache Mesos to Kubernetes, detailing the motivations, challenges, and solutions encountered during the transition.

The article discusses the integration of generative AI in molecular design, emphasizing the importance of oracles—feedback mechanisms from experiments and simulations—in bridging the gap between vi...

NVIDIA Dynamo is a newly released low-latency distributed inference framework designed to enhance the deployment of generative AI and reasoning models in large-scale environments.

The article discusses the importance of measuring and improving AI workload performance using NVIDIA DGX Cloud Benchmarking.

The article discusses Profile-Guided Optimization (PGO) in Go programming, detailing its implementation at Uber to enhance performance through runtime profiling data.

The article discusses Uber's transition to a multi-architecture environment by adopting Arm-based hosts at scale.

Uber's article discusses the strategic migration from on-premise data centers to cloud infrastructure while integrating Arm-based computers to enhance cost efficiency and hardware flexibility.