# cta Published articles for cta. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## ClickHouse Schema Design and Data Modeling DevFeed: [ClickHouse Schema Design and Data Modeling]() Original publisher: [Read original article]() Author: Agus Syafaat Published: 2026-07-17T12:48:53Z Content type: article Language: en Sources: [SeveralNines]() Topics: [clickhouse](), [data-modeling](), [distributed-systems](), [Database]() Tags: [clickhouse](), [cta](), [data-modeling](), [database-general](), [distributed](), [distribution](), [monitoring](), [production](), [schema](), [schema-design]() ### AI overview This article explains how to design and maintain ClickHouse schemas in production. It covers distributed and local tables, shards and replicas, shard-key selection, operational concerns such as slow queries and oversized partitions, monitoring, and schema evolution. ### Source excerpt Sometimes, we see ClickHouse queries that should normally complete in milliseconds take several seconds to finish or worse, time out entirely. When that happens, there is a good chance that the schema is the real culprit. The problem is often not the query itself, nor is it a hardware bottleneck. Instead, it can stem from [...] The post ClickHouse Schema Design and Data Modeling appeared first on Severalnines. ## Building a Modern Analytics Stack Around ClickHouse DevFeed: [Building a Modern Analytics Stack Around ClickHouse]() Original publisher: [Read original article]() Author: Sebastian Insausti Published: 2026-07-01T10:35:21Z Content type: article Language: en Sources: [SeveralNines]() Topics: [clickhouse](), [Databases](), [Open Source](), [MySQL](), [PostgreSQL](), [real-time](), [NVMe](), [Replication](), [IO]() Tags: [analytics](), [analytics-stack](), [clickhouse](), [cta](), [database-general](), [databases](), [distributed](), [mysql](), [nvme](), [olap](), [open-source](), [postgresql](), [real-time]() ### AI overview This article explains how ClickHouse fits into a modern analytics stack alongside relational databases, Redis, and Prometheus. It describes ClickHouse as an open-source column-oriented DBMS for analytical workloads and discusses columnar storage, distributed processing, replication, and near-real-time ingestion. ### Source excerpt Historically, relational databases did double duty. The same PostgreSQL / MySQL instance that handled your application's writes also answered your business questions. A well-indexed schema, a few GROUP BY reports, done. And that works, right up until it doesn't: the reports get slower, the dashboards start eating the same I/O budget as the application; or, [...] The post Building a Modern Analytics Stack Around ClickHouse appeared first on Severalnines. ## Managing ClickHouse Resources in Multi-Tenant Environments DevFeed: [Managing ClickHouse Resources in Multi-Tenant Environments]() Original publisher: [Read original article]() Author: Sucahyo Ardy Prasetiyo Published: 2026-06-09T11:20:22Z Content type: tutorial Language: en Sources: [SeveralNines]() Topics: [clickhouse](), [systems](), [Databases]() Tags: [clickhouse](), [cta](), [dashboards](), [database-general](), [infrastructure](), [performance](), [pipelines]() ### AI overview This tutorial explains how to manage ClickHouse resources in multi-tenant environments. It discusses contention caused by shared CPU, memory, and disk resources, and describes identifying contention, scheduling workloads, and validating cluster stability. ### Source excerpt When people first deploy ClickHouse, their initial reaction is often surprise. Queries that used to take minutes now finish in seconds. Dashboards feel instant even when reading billions of rows. To see this in action, here is a simple aggregation query running against a 200 million row events table: ClickHouse delivers exceptional speed, scanning 200 [...] The post Managing ClickHouse Resources in Multi-Tenant Environments appeared first on Severalnines. ## SaaS Pricing Page Design: 12 Best Practices That Convert Visitors to Customers DevFeed: [SaaS Pricing Page Design: 12 Best Practices That Convert Visitors to Customers]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-04-05T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [Optimization]() Tags: [best-practices](), [conversion](), [cta](), [design](), [optimization](), [pricing](), [saas](), [structure]() ### AI overview A guide to 12 best practices for designing SaaS pricing pages, covering plan naming, tier structure, information hierarchy, comparison tables, and calls to action. It argues that clear customer-oriented choices can reduce uncertainty and improve pricing-page conversion. ### Source excerpt Design a high-converting SaaS pricing page with 12 proven best practices covering layout, psychology, plan structure, and CTA optimization. ## Create a Custom Stream Elements Overlay for YouTube Subscribers DevFeed: [Create a Custom Stream Elements Overlay for YouTube Subscribers]() Original publisher: [Read original article]() Author: Nic Raboy Published: 2022-01-12T14:00:00Z Content type: tutorial Language: en Sources: [Nic Raboy]() Topics: [Web Development](), [JavaScript](), [CSS](), [HTML](), [Tailwind CSS](), [API](), [ide]() Tags: [api](), [code](), [css](), [cta](), [developer](), [html](), [javascript](), [streaming](), [tailwind](), [tutorial](), [web-development](), [youtube]() ### AI overview A tutorial showing how to create a custom Stream Elements overlay that displays a live YouTube subscriber count. It uses Tailwind, JavaScript, HTML, CSS, and the Stream Elements API within the platform's custom widget editor. ### Source excerpt I recently got into streaming video games on a consistent basis and needed a better call to action (CTA) to encourage subscribers. In an attempt to encourage more subscriptions, I thought it'd be bene... The post Create a Custom Stream Elements Overlay for YouTube Subscribers appeared first on The Polyglot Developer.