database – Noise

New capabilities to optimize costs and improve scalability on Amazon RDS for SQL Server and Oracle

Matheus Guimaraes — Tue, 02 Dec 2025 16:09:29 +0000

Manage development, testing, and production database workloads more efficiently with new features including Developer Edition support for SQL Server, M7i/R7i instance support with optimize CPU, and expanded storage options up to 256 TiB.

Introducing Database Savings Plans for AWS Databases

Betty Zheng (郑予彬) — Tue, 02 Dec 2025 16:09:26 +0000

New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.

Highly concurrent in-memory counter in GoLang

Grab Tech — Mon, 06 Oct 2025 00:00:10 +0000

Introduction Ah, the familiar beep beep beep but don’t worry, it’s not your alarm coaxing you out of bed. No, this is far worse: the dreaded PagerDuty on-call alert! What’s the crisis this time? There appears to be an issue with high database CPU util...

Running Zabbix with MariaDB and Galera Active/Active Clustering

Nathan Liefting — Tue, 30 Sep 2025 12:59:56 +0000

High availability on a platform like Zabbix is a hard requirement for many users. With native high availability on…

The post Running Zabbix with MariaDB and Galera Active/Active Clustering appeared first on Zabbix Blog.

Building a Resilient Data Platform with Write-Ahead Log at Netflix

Netflix Technology Blog — Fri, 26 Sep 2025 18:57:07 +0000

By Prudhviraj Karumanchi, Samuel Fu, Sriram Rangarajan, Vidhya Arvind, Yun Wang, John LuIntroductionNetflix operates at a massive scale, serving hundreds of millions of users with diverse content and features. Behind the scenes, ensuring data consisten...

Partnering to make full-stack fast: deploy PlanetScale databases directly from Workers

Matt Silverlock — Thu, 25 Sep 2025 14:00:00 +0000

We’ve teamed up with PlanetScale to make shipping full-stack applications on Cloudflare Workers even easier.

Powering Partner Gateway metrics with Apache Pinot

Grab Tech — Tue, 23 Sep 2025 00:00:10 +0000

Introduction Grab operates as a dynamic ecosystem involving partners and various service providers, necessitating real-time intelligence and decision-making for seamless integration and service delivery. To facilitate this, GrabDeveloper serves as Gra...

Data mesh at Grab part I: Building trust through certification

Grab Tech — Tue, 19 Aug 2025 00:23:00 +0000

Introduction At Grab, our journey towards a more robust and scalable data ecosystem has been a continuous evolution. Considering the size of our data lake and complexity of our ecosystem, with businesses spanning across ride hailing, food delivery, a...

Celebrating 10 years of Amazon Aurora innovation

Sébastien Stormacq — Fri, 15 Aug 2025 16:01:02 +0000

Amazon Aurora is celebrating its 10th anniversary with a livestream event on August 21, 2025, highlighting a decade of database innovation since its groundbreaking architecture that decoupled storage from compute.

Amazon DocumentDB Serverless is now available

Channy Yun (윤석찬) — Thu, 31 Jul 2025 15:00:39 +0000

Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application's demand, offering up to 90% cost savings compared to provisioning for peak capacity.

The evolution of Grab’s machine learning feature store

Grab Tech — Thu, 24 Jul 2025 00:23:00 +0000

Introduction In this post, we outline how we transformed the way we serve data for our machine learning (ML) models and why we chose Amazon Aurora Postgres as the storage layer for our new feature store. At Grab, we have always been at the forefront o...

Harnessing the Power of Nested Materialized Views and exploring Cascading Refresh

Ritesh Sinha — Fri, 11 Jul 2025 15:46:01 +0000

In this post, we explore how to maximize Amazon Redshift query performance through nested materialized views and implementing cascading refresh strategies. We demonstrate how to create materialized views based on other materialized views, enabling a hierarchical structure of precomputed results that significantly enhances query performance and data processing efficiency, particularly useful for reusing precomputed joins with different aggregate options.

Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables

Donnie Prakoso — Mon, 30 Jun 2025 20:30:48 +0000

Amazon DynamoDB now offers multi-Region strong consistency capability for global tables, providing the highest level of application resilience and enabling your applications to be always available.

Counter Service: How we rewrote it in Rust

Grab Tech — Fri, 20 Jun 2025 00:23:00 +0000

Abstract The Integrity Data Platform (IDP) team decided to rewrite one of our heavy Queries Per Second (QPS) Golang microservices in Rust. It resulted in 70% infrastructure savings at a similar performance, but was not without its pitfalls. This artic...

The complete stream processing journey on FlinkSQL

Grab Tech — Thu, 12 Jun 2025 00:23:00 +0000

Introduction In the fast-paced world of data analytics, real-time processing has become a necessity. Modern businesses require insights not just quickly, but in real-time to make informed decisions and stay ahead of the competition. Apache Flink has e...

Database Monitoring using Zabbix agent 2 – Part 1, SQL

Alexander Petrov-Gavrilov — Tue, 03 Jun 2025 09:59:10 +0000

If you find yourself needing additional flexibility when it comes to database monitoring, Zabbix agent 2 may be exactly…

The post Database Monitoring using Zabbix agent 2 – Part 1, SQL appeared first on Zabbix Blog.

Amazon Aurora DSQL is now generally available

Channy Yun (윤석찬) — Tue, 27 May 2025 18:23:43 +0000

Amazon Aurora DSQL is the fastest serverless distributed SQL database with virtually unlimited scale, the highest availability, and zero infrastructure management for always available applications. You can remove the operational burden of patching, upgrades, and maintenance downtime and count on an easy-to-use developer experience to create a new database in a few quick steps.

Evaluating performance impact of removing Redis-cache from a Scylla-backed service

Grab Tech — Fri, 11 Apr 2025 00:23:00 +0000

Introduction At Grab, we operate a set of services that manage and provide counts of various items. While this may seem straightforward, the scale at which this feature operates—benefiting millions of Grab users daily—introduces complexity. This featu...

Evaluating performance impact of removing Redis-cache from a Scylla-backed service

Grab Tech — Fri, 11 Apr 2025 00:23:00 +0000

Turbocharging GrabUnlimited with Temporal

Grab Tech — Thu, 12 Dec 2024 00:00:10 +0000

Welcome to the behind-the-scenes story of GrabUnlimited, Grab’s flagship membership program. We undertook the mammoth task of migrating from our legacy system to a Temporal1 workflow-based system, enhancing our ability to handle millions of subscribers...