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Redis

Real-Time Fraud Detection: Latency, Features & Scale Context window in AI: why every token is a budget decision Connecting to Redis Cloud with AWS PrivateLink vs. VPC peering | Redis Redis Data Integration in Redis Cloud is now GA in AWS | Redis Why AI Misses Business Context & How Teams Fix It AI Reasoning Explained: Why Context Matters Semantic Layer vs Context Layer: Key Differences Redis array data type: How it works and when to use it Context Graphs vs. Vector Search: When RAG Falls Short What’s new in two – May 2026 edition Redis 8.8 performance improvements: Faster string, hash, streams, SCAN & more Redis 8.8: New array data structure & open source features How Conflict-free Replicated Data Types power active-active database replication Context Orchestration: What It Is & How It Works Context Compaction for AI Agents: A Complete Guide Prompt Bloat: Causes, Costs & Fixes for LLM Apps Agentic Retrieval Techniques: A Complete Guide Single-shot reliable consumers with XREADGROUP CLAIM in Redis 8.4 | Redis Long-Horizon AI Agents: Memory & State Infrastructure What is a context engine? 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AI Agent Infrastructure Context Retrieval for AI Agents: What It Is & Why It Matters Context Poisoning: How Bad Data Breaks Agent Reasoning Context is all you need: Introducing Redis Iris | Redis Context Engineering for AI: What It Is & How to Build It Dynamic endpoints: Migrate databases without changing your endpoint | Redis AI Shopping Assistants: How They Work & What to Build Endless Aisle Retail: Infrastructure & Real-Time Data LLM Speed Benchmarks: Metrics & Infrastructure Guide Context Pruning: Cut LLM Tokens Without Losing Quality What’s new in two – April 2026 edition Agentic AI Architecture: 5 Patterns Explained AI Agent vs Chatbot: Key Differences Explained Advantages of Building a Vector Search Solution API Latency in LLM Apps: Causes & How to Fix It Security advisory: [CVE‑2026‑23479] [CVE‑2026‑25243] [CVE-2026-25588] [CVE‑2026‑25589] [CVE-2026-23631] | Redis Edge Computing Latency: Causes & How to Reduce It AI Agents vs Workflows: When to Use Each Streaming LLM Responses: Make Your AI App Feel Fast Active-Active vs Active-Passive Database Architecture Prefill vs Decode: LLM Inference Phases Explained Long-Term Memory Architectures for AI Agents Time to First Byte Test: Tools, Causes & Fixes Speculative decoding: how it works & when to use it P95 Latency: What It Is & Why It Matters Why Multi-Agent LLM Systems Fail & How to Fix Them AI Human in the Loop: Production Oversight Patterns Native OpenTelemetry metrics for Redis client libraries | Redis Client-side geographic failover for Redis Active-Active | Redis Use Redis with SQL | Redis Introducing Redis Feature Form Build Google ADK Agents with persistent, real-time memory on Redis | Redis Startup Spotlight: Neuron Systems API Throttling: Algorithms, Patterns & Mistakes Agentic AI Examples Across 6 Industries Best Chunking Strategies for RAG Pipelines Agentic AI Guardrails: Controls That Work Redis joins AWS at GDC to support the next generation of gaming | Redis Designing a semantic routing system: From static rules to dynamic intelligence with Redis and Java | Redis Real-Time Dispatch System: A Complete Guide P99 Latency: What It Means & How to Fix It Tokenization in LLMs: What AI App Devs Need to Know TTFT Meaning: What is Time to First Token? Atomic slot migration with Redis 8.4 Hybrid search benefits: Why your RAG system needs both keyword & vector search What’s new in two: March 2026 edition Vector embedding generators: How they work & how to use them Throughput-optimizing Redis for L2 KV Cache Reuse What is a data pipeline? Building AI agent pipelines that don't forget, fail, or fall apart Real-time network monitoring: what your data platform needs to keep up AI agent API: How agents connect to the real world What is multicloud infrastructure? A guide for 2026 What is a transaction monitoring system & how does it work? Why your AI agent fails in production & how tracing helps AI agent benchmarks: Where they fall short & why your infrastructure matters What is a JSON database (and when should you use one)? 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Redis achieves Google Cloud Ready, Distributed Cloud status ahead of Google Cloud Next ‘26 | Redis
Redis · 2026-03-27 · via Redis

We are heading into Google Cloud Next 2026 in Las Vegas with momentum.

Redis has officially been approved as a validated solution on Google Cloud’s Google Distributed Cloud (GDC) platform. Our SaaS-integrated submission for GDC connected has been reviewed, installed, and validated directly within Google Distributed Cloud’s connected infrastructure.

As the ecosystem gathers for Google Cloud Next, our customers and partners are looking for proven, production- ready solutions that are already aligned to Google Cloud architecture. Redis now carries that distinction. By matching GDC’s specific infrastructure requirements, Redis is ready to power the next generation of low-latency, real-time workloads at the edge.

“As organizations build increasingly sophisticated AI and real time applications, having a high performance data layer is critical,” said Eliot Danner, Managing Director, Google Distributed Cloud, Google Cloud. “Redis achieving Google Cloud Ready, Distributed Cloud status on both the GDC connected and GDC air-gapped platforms demonstrates our continued collaboration to support customers running scalable, low latency workloads on their Google environments . We’re pleased to see Redis expanding its availability as a transactable listing through Google Cloud Marketplace for their solution running on GDC connected.”

Why this matters for customers

Organizations building on Google Cloud want speed, resilience, and performance without operational drag. Redis Cloud delivers real-time performance for caching, session management, vector search, AI applications, streaming, and more. Now with Google Cloud’s GDC Ready status, customers can move forward knowing Redis has been tested and approved within the platform environment.

For regulated industries and public sector workloads leveraging GDC connected, validation removes friction in procurement and deployment conversations. It signals readiness. It signals alignment.

Why this matters for partners

For channel partners and Google Cloud-focused SIs, this opens a stronger co-sell and marketplace motion. Redis is positioned for scalable marketplace transactions with a validated footprint. If you are building modernization, AI, or high-performance application stacks on Google Cloud, Redis is now an even easier attachment; driving marketplace revenue and accelerating deals.

We are excited to carry this momentum into Google Cloud Next in Las Vegas. Our conversations this year will center around AI acceleration, data infrastructure, and application modernization.

If you are attending, come see us at booth #2511.

We will be showcasing how Redis on Google Cloud supports:

  • High-performance caching and microservices
  • Real-time AI and vector workloads
  • Resilient session and application state management
  • Scalable marketplace procurement models

And more importantly, we will show you what we are building next.

Visit us at booth #2511 to see Redis in action and learn how we are deepening our integration with Google Cloud.

You can also explore more about Redis on Google Cloud here.