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    <title>Cachee.ai Blog</title>
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    <description>Technical insights on caching, performance optimization, and infrastructure from Cachee.ai</description>
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    <lastBuildDate>Thu, 26 Mar 2026 18:15:53 GMT</lastBuildDate>
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    <item>
      <title>Five Caching Features Nobody Else Has Built &amp;mdash; and Why They Matter</title>
      <link>https://cachee.ai/blog/posts/2026-03-26-five-caching-features-nobody-else-has-built-and-why-they-matter</link>
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      <description>CDC auto-invalidation, native vector search, cache triggers, cross-service coherence, and cost-aware eviction. Five capabilities that don</description>
      <pubDate>Thu, 26 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Cachee Enterprise: 140+ Redis Commands, Native in Rust, Zero Dependencies</title>
      <link>https://cachee.ai/blog/posts/2026-03-26-cachee-enterprise-140-redis-commands-native-in-rust-zero-dependencies</link>
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      <description>140+ Redis commands running natively in Rust — hashes, sorted sets, lists, streams, geospatial indexes, HyperLogLog, bitmaps, vector search, Lua scripting, transactions, pub/sub, CDC, and cache triggers. All at 0.0015ms per operation. Zero external dependencies.</description>
      <pubDate>Thu, 26 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>We Built a Redis-Compatible Data Engine in Rust. Here's Why.</title>
      <link>https://cachee.ai/blog/posts/2026-03-25-we-built-a-redis-compatible-data-engine-in-rust-heres-why</link>
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      <description>50+ native Redis commands running in-process at sub-microsecond latency. Hashes, sorted sets, lists, Lua scripting, transactions — zero external dependencies. Here</description>
      <pubDate>Wed, 25 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Why Your Kubernetes Pods Are Slow: The Distributed Cache Problem</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-why-your-kubernetes-pods-are-slow-the-distributed-cache-problem</link>
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      <description>Your Kubernetes pods are fast in isolation but P99 spikes to 200ms+ under load. The bottleneck isn</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>The Sidecar Cache Pattern: Why Service Mesh Teams Are Adding L1 Caches</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-the-sidecar-cache-pattern-why-service-mesh-teams-are-adding-l1-caches</link>
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      <description>Istio handles traffic routing, mTLS, and observability. But it doesn</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Should You Use Redis or DynamoDB DAX for Caching?</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-should-you-use-redis-or-dynamodb-dax-for-caching</link>
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      <description>Redis and DynamoDB DAX solve different caching problems. This comparison breaks down latency, lock-in, eviction control, and the L1 layer that makes both faster.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Serverless Cold Starts: Why Your Lambda Is Slow and How Caching Fixes It</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-serverless-cold-starts-why-your-lambda-is-slow-and-how-caching-fixes-it</link>
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      <description>Your Lambda takes 3 seconds on first invocation, 200ms after. Every scale-up creates new cold instances. An external L1 cache layer eliminates the cold start penalty while keeping serverless benefits.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis vs Momento vs Upstash: Serverless Cache Comparison 2026</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-redis-vs-momento-vs-upstash-serverless-cache-comparison-2026</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-redis-vs-momento-vs-upstash-serverless-cache-comparison-2026</guid>
      <description>A head-to-head comparison of Redis, Momento, and Upstash for serverless caching in 2026. Pricing at every scale, P50/P99 latency benchmarks, and the architectural layer all three are missing.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis SLOWLOG Explained: Find and Fix Your Slowest Commands</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-redis-slowlog-explained-find-and-fix-your-slowest-commands</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-redis-slowlog-explained-find-and-fix-your-slowest-commands</guid>
      <description>Your Redis instance is fast — until you check the SLOWLOG. Most production Redis instances have commands taking 10-100ms hiding in plain sight. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis KEYS Command in Production: The Performance Killer You Didn't Know About</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-redis-keys-command-in-production-the-performance-killer-you-didnt-know-about</link>
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      <description>The Redis KEYS command is O(n) and blocks the entire server while it runs. In production with millions of keys, it freezes Redis for seconds. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis 8 vs Valkey 8.1: The 2026 Benchmark Nobody Asked For</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-redis-8-vs-valkey-81-the-2026-benchmark-nobody-asked-for</link>
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      <description>We tested Redis 8 and Valkey 8.1 on identical c7g.xlarge hardware for 48 hours with an 80/20 Zipfian workload. Both hit ~950K ops/sec. The 5% difference between them is noise compared to the 667x difference an L1 layer provides.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>PostgreSQL Cache Hit Ratio Below 99%? Here's Your Fix</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-postgresql-cache-hit-ratio-below-99-percent-heres-your-fix</link>
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      <description>If your PostgreSQL buffer cache hit ratio is below 99%, your database is reading from disk instead of memory. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>OpenAI Scaled PostgreSQL to 800M Users — Here's the Caching Architecture They Used</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-openai-scaled-postgresql-to-800m-users-heres-the-caching-architecture</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-openai-scaled-postgresql-to-800m-users-heres-the-caching-architecture</guid>
      <description>OpenAI published how they scaled PostgreSQL to serve 800 million ChatGPT users. The engineering is impressive. But the caching layer that makes it all possible is the part nobody is talking about.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Next.js Caching Is Broken in 2026 &amp;mdash; Here's What Actually Works</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-nextjs-caching-is-broken-in-2026-heres-what-actually-works</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-nextjs-caching-is-broken-in-2026-heres-what-actually-works</guid>
      <description>Next.js has 6 caching layers that conflict with each other. Router Cache serves stale data. Data Cache ignores your revalidation. The new use cache directive is confusing everyone. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>LLM Caching: How to Cut OpenAI API Costs 60% With Semantic Cache</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-llm-caching-how-to-cut-api-costs-60-percent-with-semantic-cache</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-llm-caching-how-to-cut-api-costs-60-percent-with-semantic-cache</guid>
      <description>Every duplicate or near-duplicate prompt to GPT-4 costs $0.03-0.06. Semantic caching matches similar prompts and serves cached responses instantly, cutting LLM API costs by 40-60%.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>How to Add Caching to a Node.js Express API in 5 Minutes</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-how-to-add-caching-to-a-nodejs-express-api-in-5-minutes</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-how-to-add-caching-to-a-nodejs-express-api-in-5-minutes</guid>
      <description>Your Express API hits the database on every request. Response times are 50-200ms. Adding a cache layer takes 5 minutes and cuts response time by 10-20x. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>How Much Does Caching Actually Save? A Real ROI Analysis</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-how-much-does-caching-actually-save-a-real-roi-analysis</link>
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      <description>We ran the numbers across 5 real scenarios — from startup to enterprise. Caching ROI ranges from 3x to 47x. Here</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>AWS Caching Costs Compared: ElastiCache vs CloudFront vs DAX vs Lambda@Edge</title>
      <link>https://cachee.ai/blog/posts/2026-03-24-aws-caching-costs-compared-elasticache-vs-cloudfront-vs-dax-vs-lambda-edge</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-24-aws-caching-costs-compared-elasticache-vs-cloudfront-vs-dax-vs-lambda-edge</guid>
      <description>Side-by-side cost comparison of AWS ElastiCache, CloudFront, DAX, and Lambda@Edge at 10M, 100M, and 1B requests/month. Real pricing with hidden costs most teams miss.</description>
      <pubDate>Tue, 24 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Your Cache Hit Rate Is Lying to You — What to Measure Instead</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-your-cache-hit-rate-is-lying-to-you-what-to-measure-instead</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-your-cache-hit-rate-is-lying-to-you-what-to-measure-instead</guid>
      <description>An 85% cache hit rate looks healthy on the dashboard — but your users are still slow and your DB is still overloaded. Hit rate is lying by omission. Here are the 4 metrics that actually measure cache effectiveness.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Why Your Redis Latency Spikes at 3 AM (and How to Stop It)</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-why-your-redis-latency-spikes-at-3am-and-how-to-stop-it</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-why-your-redis-latency-spikes-at-3am-and-how-to-stop-it</guid>
      <description>Every night between 2-4 AM, your Redis P99 spikes from 1ms to 50ms. RDB snapshots, AOF rewrites, and TTL expiry storms are the culprits. Here</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Why Your Cache Invalidation Strategy Is Costing You Customers</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-why-your-cache-invalidation-strategy-is-costing-you-customers</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-why-your-cache-invalidation-strategy-is-costing-you-customers</guid>
      <description>Static TTLs serve stale prices, stale inventory, and stale sessions to your customers. Learn why TTL-based and event-driven invalidation fail at scale, and how ML-driven per-key TTLs eliminate stale data without manual tuning.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>We Added Caching and Response Time Got Worse — Here's the Fix</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-we-added-caching-and-response-time-got-worse-heres-the-fix</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-we-added-caching-and-response-time-got-worse-heres-the-fix</guid>
      <description>You added Redis expecting 10x faster responses. Instead, P99 latency went up. Serialization overhead, network hops, cache stampedes, and double-write penalties explain why — and in-process L1 caching is the architectural fix.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>The Real Cost of Running Redis in Production: A 2026 Breakdown</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-the-real-cost-of-running-redis-in-production-2026-breakdown</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-the-real-cost-of-running-redis-in-production-2026-breakdown</guid>
      <description>Redis is free. Running Redis in production costs $2,000-50,000/month. Here</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis vs DragonflyDB vs Cachee: 2026 Benchmark With Real Production Data</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-redis-vs-dragonflydb-vs-cachee-2026-benchmark-with-real-production-data</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-redis-vs-dragonflydb-vs-cachee-2026-benchmark-with-real-production-data</guid>
      <description>DragonflyDB claims 25x Redis throughput. Cachee claims 667x lower latency. We tested all three on identical hardware with real production workloads over 48 hours. Here are the results.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Redis Connection Pool Exhaustion: The Fix That Doesn't Require More Nodes</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-redis-connection-pool-exhaustion-the-fix-that-doesnt-require-more-nodes</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-redis-connection-pool-exhaustion-the-fix-that-doesnt-require-more-nodes</guid>
      <description>Redis connection pool exhaustion causes cascading timeouts under load. Learn why increasing pool size or adding nodes are band-aids, and how L1 in-process caching eliminates 99% of connections entirely.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>How We Cut Our ElastiCache Bill from $4,200 to $1,400/Month</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-how-we-cut-our-elasticache-bill-from-4200-to-1400-per-month</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-how-we-cut-our-elasticache-bill-from-4200-to-1400-per-month</guid>
      <description>Our 6-node r6g.xlarge ElastiCache cluster cost $4,200/month. After adding an L1 cache layer and downsizing to 2 nodes, we saved $33,600/year with zero performance degradation. Here</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>How to Cache GraphQL Without Losing Your Mind</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-how-to-cache-graphql-without-losing-your-mind</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-how-to-cache-graphql-without-losing-your-mind</guid>
      <description>GraphQL is great for clients, terrible for caching. POST requests bypass HTTP caches, every query shape is unique, and nested resolvers multiply DB calls. Here</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Cache Warming After Deploy: Why Your Users Suffer for 2 Minutes Every Release</title>
      <link>https://cachee.ai/blog/posts/2026-03-23-cache-warming-after-deploy-why-your-users-suffer-for-2-minutes-every-release</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-23-cache-warming-after-deploy-why-your-users-suffer-for-2-minutes-every-release</guid>
      <description>Every deploy starts with an empty cache. For 90-120 seconds, every user gets full database round-trips — 10-50ms per request instead of 1ms. Predictive pre-warming eliminates the cold start entirely.</description>
      <pubDate>Mon, 23 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Why Your ElastiCache Bill Is Higher Than Your Database Bill</title>
      <link>https://cachee.ai/blog/posts/2026-03-21-why-your-elasticache-bill-is-higher-than-your-database-bill</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-21-why-your-elasticache-bill-is-higher-than-your-database-bill</guid>
      <description>You added ElastiCache to reduce database load. It worked. But now your ElastiCache bill is $4,000-8,000/month — more than the RDS instance it was supposed to protect. Here</description>
      <pubDate>Sat, 21 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
    </item>
    <item>
      <title>Why Is Redis Slow Under Load? A Production Troubleshooting Guide</title>
      <link>https://cachee.ai/blog/posts/2026-03-21-why-is-redis-slow-under-load-a-production-troubleshooting-guide</link>
      <guid isPermaLink="true">https://cachee.ai/blog/posts/2026-03-21-why-is-redis-slow-under-load-a-production-troubleshooting-guide</guid>
      <description>Redis is fast until it isn</description>
      <pubDate>Sat, 21 Mar 2026 06:30:00 GMT</pubDate>
      <dc:creator>Eric Beans</dc:creator>
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