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	<title>sql &#8211; Noise</title>
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		<title>R2 SQL: a deep dive into our new distributed query engine</title>
		<link>https://noise.getoto.net/2025/09/25/r2-sql-a-deep-dive-into-our-new-distributed-query-engine/</link>
		
		<dc:creator><![CDATA[Yevgen Safronov]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Birthday Week]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Edge Computing]]></category>
		<category><![CDATA[R2]]></category>
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					<description><![CDATA[R2 SQL provides a built-in, serverless way to run ad-hoc analytic queries against your R2 Data Catalog. This post dives deep under the Iceberg into how we built this distributed engine.]]></description>
		
		
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		<title>Picking Servers CPUs for Databases in 2025 is Still Complex</title>
		<link>https://noise.getoto.net/2025/09/05/picking-servers-cpus-for-databases-in-2025-is-still-complex/</link>
		
		<dc:creator><![CDATA[Patrick Kennedy]]></dc:creator>
		<pubDate>Fri, 05 Sep 2025 17:30:00 +0000</pubDate>
				<category><![CDATA[AMD]]></category>
		<category><![CDATA[AMD EPYC]]></category>
		<category><![CDATA[EPYC]]></category>
		<category><![CDATA[genoa-x]]></category>
		<category><![CDATA[Grado]]></category>
		<category><![CDATA[microsoft]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[SAP]]></category>
		<category><![CDATA[Server Applications]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[SQL Server]]></category>
		<category><![CDATA[Turin]]></category>
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					<description><![CDATA[Picking CPUs for databases is still a topic of great complexity in 2025 with CPU vendors making different chips catering to database licenses
The post Picking Servers CPUs for Databases in 2025 is Still Complex appeared first on ServeTheHome.
]]></description>
		
		
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		<title>Sequential consistency without borders: how D1 implements global read replication</title>
		<link>https://noise.getoto.net/2025/04/10/sequential-consistency-without-borders-how-d1-implements-global-read-replication/</link>
		
		<dc:creator><![CDATA[Justin Mazzola Paluska]]></dc:creator>
		<pubDate>Thu, 10 Apr 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Cloudflare Workers]]></category>
		<category><![CDATA[D1]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Developer Week]]></category>
		<category><![CDATA[Edge Database]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[D1, Cloudflare’s managed SQL database, announces read replication beta. Here's a deep dive of the read replication implementation and how your queries can remain consistent across all regions.]]></description>
		
		
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		<title>Pools across the sea: how Hyperdrive speeds up access to databases and why we’re making it free</title>
		<link>https://noise.getoto.net/2025/04/08/pools-across-the-sea-how-hyperdrive-speeds-up-access-to-databases-and-why-were-making-it-free/</link>
		
		<dc:creator><![CDATA[Andrew Repp]]></dc:creator>
		<pubDate>Tue, 08 Apr 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Cloudflare Workers]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Developer Week]]></category>
		<category><![CDATA[Hyperdrive]]></category>
		<category><![CDATA[Smart Placement]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[Hyperdrive, Cloudflare's global connection pooler, relies on some key innovations to make your database connections work. Let's dive deeper, in celebration of its availability for Free Plan customers.]]></description>
		
		
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		<title>Over 700 million events/second: How we make sense of too much data</title>
		<link>https://noise.getoto.net/2025/01/27/over-700-million-events-second-how-we-make-sense-of-too-much-data/</link>
		
		<dc:creator><![CDATA[Constantin Pan]]></dc:creator>
		<pubDate>Mon, 27 Jan 2025 14:00:00 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Bugs]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Go]]></category>
		<category><![CDATA[GraphQL]]></category>
		<category><![CDATA[Sampling]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[Here we explain how we made our data pipeline scale to 700 million events per second while becoming more resilient than ever before. We share some math behind our approach and some of the designs of]]></description>
		
		
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		<title>Elephants in tunnels: how Hyperdrive connects to databases inside your VPC networks</title>
		<link>https://noise.getoto.net/2024/10/25/elephants-in-tunnels-how-hyperdrive-connects-to-databases-inside-your-vpc-networks/</link>
		
		<dc:creator><![CDATA[Andrew Repp]]></dc:creator>
		<pubDate>Fri, 25 Oct 2024 13:00:00 +0000</pubDate>
				<category><![CDATA[Cloudflare Workers]]></category>
		<category><![CDATA[deep dive]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Hyperdrive]]></category>
		<category><![CDATA[postgres]]></category>
		<category><![CDATA[Rust]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[WebSockets]]></category>
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					<description><![CDATA[Hyperdrive (Cloudflare’s globally distributed SQL connection pooler and cache) recently added support for directing database traffic from Workers across Cloudflare Tunnels. We dive deep on what it took to add this feature.]]></description>
		
		
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		<item>
		<title>Supporting Postgres Named Prepared Statements in Hyperdrive</title>
		<link>https://noise.getoto.net/2024/06/28/supporting-postgres-named-prepared-statements-in-hyperdrive/</link>
		
		<dc:creator><![CDATA[Andrew Repp]]></dc:creator>
		<pubDate>Fri, 28 Jun 2024 13:00:09 +0000</pubDate>
				<category><![CDATA[Cloudflare Workers]]></category>
		<category><![CDATA[Developer Platform]]></category>
		<category><![CDATA[Hyperdrive]]></category>
		<category><![CDATA[Message Protocol]]></category>
		<category><![CDATA[postgres]]></category>
		<category><![CDATA[Prepared Statements]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[Hyperdrive (Cloudflare’s globally distributed SQL connection pooler and cache) recently added support for Postgres protocol-level named prepared statements across pooled connections. We dive deep on what it took to add this feature]]></description>
		
		
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		<item>
		<title>Let’s Architect! Leveraging SQL databases on AWS</title>
		<link>https://noise.getoto.net/2023/09/27/lets-architect-leveraging-sql-databases-on-aws/</link>
		
		<dc:creator><![CDATA[Luca Mezzalira]]></dc:creator>
		<pubDate>Wed, 27 Sep 2023 15:27:08 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon ElastiCache]]></category>
		<category><![CDATA[Amazon MemoryDB for Redis]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[cost optimization]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[Let's Architect]]></category>
		<category><![CDATA[RDS]]></category>
		<category><![CDATA[reInvent]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[SQL databases in Amazon Web Services (AWS), using services like Amazon Relational Database Service (Amazon RDS) and Amazon Aurora, offer software architects scalability, automated management, robust security, and cost-efficiency. This combination simplifies database management, improves performance, enhances security, and allows architects to create efficient and scalable software systems. In this post, we introduce caching strategies […]]]></description>
		
		
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		<title>Amazon MSK backup for Archival, Replay, or Analytics</title>
		<link>https://noise.getoto.net/2021/02/19/amazon-msk-backup-for-archival-replay-or-analytics/</link>
		
		<dc:creator><![CDATA[Rohit Yadav]]></dc:creator>
		<pubDate>Fri, 19 Feb 2021 18:03:14 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Apache Kafka]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[data streaming]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
		<category><![CDATA[sql]]></category>
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					<description><![CDATA[Amazon MSK is a fully managed service that helps you build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes. You can also stream changes to […]]]></description>
		
		
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		<title>Summarize devices that are not reachable</title>
		<link>https://noise.getoto.net/2021/01/14/summarize-devices-that-are-not-reachable/</link>
		
		<dc:creator><![CDATA[Aigars Kadiķis]]></dc:creator>
		<pubDate>Thu, 14 Jan 2021 10:26:35 +0000</pubDate>
				<category><![CDATA[How-to]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[Technical]]></category>
		<category><![CDATA[Troubleshoot]]></category>
		<category><![CDATA[апи]]></category>
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					<description><![CDATA[In this lab, we will list all devices which are not reachable by a monitoring tool. This is good…]]></description>
		
		
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