<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:media="http://search.yahoo.com/mrss/">
    <channel>
        <title><![CDATA[Tiger Data Blog]]></title>
        <description><![CDATA[Insights, product updates, and tips from TigerData (Creators of TimescaleDB) engineers on Postgres, time series & AI. IoT, crypto, and analytics tutorials & use cases.]]></description>
        <link>https://www.tigerdata.com/blog</link>
        <image>
            <url>https://www.tigerdata.com/icon.ico</url>
            <title>Tiger Data Blog</title>
            <link>https://www.tigerdata.com/blog</link>
        </image>
        <generator>RSS for Node</generator>
        <lastBuildDate>Tue, 07 Apr 2026 15:18:42 GMT</lastBuildDate>
        <atom:link href="https://www.tigerdata.com/blog" rel="self" type="application/rss+xml"/>
        <ttl>60</ttl>
        <item>
            <title><![CDATA[Postgres That Scales With You: Read Replica Sets and Enhanced Storage]]></title>
            <description><![CDATA[Scale your database without stress with Timescale’s new read replica sets and enhanced storage.]]></description>
            <link>https://www.tigerdata.com/blog/postgres-that-scales-with-you-read-replica-sets-and-enhanced-storage</link>
            <guid isPermaLink="true">https://www.tigerdata.com/blog/postgres-that-scales-with-you-read-replica-sets-and-enhanced-storage</guid>
            <category><![CDATA[Announcements & Releases]]></category>
            <category><![CDATA[TimescaleDB]]></category>
            <category><![CDATA[PostgreSQL]]></category>
            <dc:creator><![CDATA[Rahil Sondhi]]></dc:creator>
            <pubDate>Tue, 03 Jun 2025 12:59:14 GMT</pubDate>
            <media:content medium="image" href="https://timescale.ghost.io/blog/content/images/2025/05/2025-may-29-replicas-thumbnail.png">
            </media:content>
            <content:encoded><![CDATA[<p>Yesterday, we covered how TimescaleDB 2.20 continues to deliver on our vision of building the fastest Postgres. Continuing on that theme, today we explore how read replicas and enhanced storage enable scaling for modern applications.</p><p>Traditional database solutions often struggle in key scenarios:</p><ul><li><strong>Financial services</strong>: Millisecond delays in trading or payments due to conflicting analytical and transactional loads.</li><li><strong>IoT and telemetry</strong>: Massive sensor data overwhelms traditional setups, causing manual partitioning headaches and delayed insights.</li><li><strong>E-commerce</strong>: Traffic spikes during peak events slow performance, impacting user experience and revenue.</li></ul><p>At Timescale, we believe developers shouldn't have to choose between performance and simplicity. Your database should scale seamlessly with your needs.</p><p>That's why we're launching two new features:</p><ul><li>Rapid scaling with read replica sets.</li><li>Enhanced storage capabilities up to 64 TB and 32,000 IOPS per replica.</li></ul><p>With these enhancements, <a href="https://www.timescale.com/cloud" rel="noreferrer">Timescale Cloud</a> empowers users to scale horizontally and vertically, delivering exceptional performance, throughput, and operational simplicity.</p><h2 id="read-replica-sets-reliable-horizontal-scaling">Read Replica Sets: Reliable Horizontal Scaling</h2><p>Modern applications are read-heavy, but scaling reads typically means dealing with manual setups, custom routing logic, and constant tuning.</p><p><strong>Read replica sets</strong> simplify this. Point your application to a single, load-balanced endpoint and let the system automatically distribute read queries across multiple replicas—no app changes required. Using PostgreSQL’s native streaming replication, replicas stay continuously updated without slowing down your primary node.</p><h4 id="benefits-for-developers">Benefits for developers:</h4><ul><li><strong>Automatic horizontal scaling</strong> of read traffic</li><li><strong>Zero custom logic or orchestration</strong> required</li><li><strong>Improved concurrency and performance</strong> under growing loads</li></ul><h2 id="how-to-use-read-replica-sets-an-example">How to Use Read Replica Sets: An Example</h2><p>Read replica sets offer a powerful, flexible solution for managing read-heavy workloads. You can create multiple sets, each tailored to a specific need. For instance, dedicate one set with several replicas to handle high-volume read traffic from your production application, ensuring responsiveness.&nbsp;</p><p>Create a separate set for your internal analytics team to isolate their ad-hoc queries and dashboarding activities, preventing impact on production performance.</p><p>By directing read traffic to the replica set and write traffic to the primary node, you achieve a clear separation of concerns. This architecture enhances scalability. As your read load fluctuates, you can easily add or remove replica nodes within a set via the Timescale console, adjusting capacity without disrupting your application or requiring manual changes. This consolidation behind a single, load-balanced endpoint simplifies your architecture while scaling read throughput.</p><figure class="kg-card kg-image-card"><img src="https://timescale.ghost.io/blog/content/images/2025/05/2025-may-29-replicas-diagram.png" class="kg-image" alt="Read replicas diagram - horizontal scaling for efficient query routing" loading="lazy" width="2000" height="936" srcset="https://timescale.ghost.io/blog/content/images/size/w600/2025/05/2025-may-29-replicas-diagram.png 600w, https://timescale.ghost.io/blog/content/images/size/w1000/2025/05/2025-may-29-replicas-diagram.png 1000w, https://timescale.ghost.io/blog/content/images/size/w1600/2025/05/2025-may-29-replicas-diagram.png 1600w, https://timescale.ghost.io/blog/content/images/2025/05/2025-may-29-replicas-diagram.png 2165w" sizes="(min-width: 720px) 720px"></figure><p>Existing read replicas have been automatically upgraded to read replica sets with one node. Price remains the same.</p><h2 id="enhanced-storage-64-tb-storage-32000-iops">Enhanced Storage: 64&nbsp;TB Storage &amp; 32,000 IOPS&nbsp;</h2><p>But there’s more. For customers with growing datasets and demanding analytical workloads, the previous 16&nbsp;TB storage ceiling was becoming a constraint. That’s changing.</p><p>We're launching a new storage type called <strong>enhanced storage</strong>, powered by AWS <strong>EBS io2</strong> volumes. This new type increases both storage capacity and throughput, making it ideal for customers with mission-critical workloads.</p><p>You can now scale your Timescale Cloud service:</p><ul><li>Up to<strong> 64&nbsp;TB of storage</strong> per database service</li><li>Up to <strong>32,000 IOPS</strong>, enabling high-throughput ingest and low-latency analytics</li></ul><p>You can switch to enhanced storage in the console without any downtime. This new storage type will initially be available to Enterprise customers and is part of our broader investment in serving high-scale, mission-critical applications.</p><p>This is a major step forward for demanding workloads with high ingestion rates, large query volumes, and complex analytics, such as financial data pipelines, IoT platforms, and telemetry processing.</p><h2 id="built-for-the-future-of-your-application">Built for the Future of Your Application</h2><p>These two new features are part of our broader vision: to make Timescale Cloud the most powerful and developer-friendly database for demanding applications.</p><p>With <strong>read replica sets</strong> and <strong>enhanced storage</strong>, Timescale Cloud delivers the speed and scalability needed for the most demanding workloads, while preserving the simplicity and power of Postgres.</p><h2 id="how-to-get-started">How to Get Started</h2><ul><li>Want to try <strong>read replica sets</strong>? Scale and Enterprise customers can set up read replica sets by <a href="https://console.cloud.timescale.com/login"><u>logging in to the Timescale console</u></a> &gt; Operations &gt; Read Scaling. Review our <a href="https://docs.timescale.com/use-timescale/latest/ha-replicas/read-scaling/"><u>read replica sets documentation</u></a> for implementation details. </li><li>Need to break past the 16 TB barrier or boost IOPS up to 32,000? Enterprise users can switch to <strong>enhanced storage</strong> by <a href="https://console.cloud.timescale.com/login"><u>logging in to the Timescale console</u></a> &gt; Operations &gt; Compute &amp; Storage.</li></ul><p>Next up: database observability simplified with Timescale Cloud.&nbsp;</p>]]></content:encoded>
        </item>
    </channel>
</rss>