InfoQ Homepage Database Content on InfoQ
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/articles/multi-region-architecture/en/smallimage/optimizing-wellhub-autocomplete-logo-small-1728898753118.jpg)
Optimizing Wellhub Autocomplete Service Latency: a Multi-Region Architecture
Every company wants fast, reliable, and low-latency services. Achieving these goals requires significant investment and effort. In this article, I will share how Wellhub invested in a multi-region architecture to achieve a low-latency autocomplete service.
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/articles/jakartaee-testing-deep-dive/en/smallimage/Modernizing-Testing-Practices-for-jakarta-EE-Projects-small-1712236207796.jpg)
Modernizing Testing Practices for Jakarta EE Projects
This article focuses on the increasing adoption of data-driven testing in Java enterprise applications and sheds light on the Data and NoSQL Jakarta specifications. It highlights the significance of modern testing libraries such as JUnit Jupiter and AssertJ and emphasizes the importance of container-based frameworks like Testcontainers in enhancing testing practices.
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/articles/managing-memberships-netflix/en/smallimage/Managing238M-1710832361735.jpg)
Managing 238M Memberships at Netflix
In this article Surabhi Diwan shared how the Netflix membership team does distributed systems: the architecture bets, technology choices, and operational semantics that serve the needs of Netflix’s ever-growing member base.
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/articles/cloudflare-distributed-postgres/en/smallimage/Relational-Data-at-the-Edge-small-1710495549977.jpg)
Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters
Explore Cloudflare's distributed PostgreSQL clusters and learn how a cross-region architecture ensures resilience. Discover how data storage and access at the edge deliver massive performance gains by reducing location-sensitive latency and why architecting for degraded states is much harder than for failure states.
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/articles/zero-knowledge-proofs-intro/en/smallimage/zero-knowledge-proofs-1710429219949.jpg)
Zero-Knowledge Proofs for the Layman
This article will introduce you to zero-knowledge proofs, a kind of cryptography you can use to provide the proof you know a secret, such as a private key or the solution to a problem, without ever sharing it to an interested party. While many articles exist on the topic, this will not require any high math knowledge.
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/articles/managed-relational-databases-costs/en/smallimage/the-hidden-cost-of-using-managed-databases-small-1709656241351.jpg)
The Hidden Cost of Using Managed Databases
The rising popularity of managed relational databases brings hidden costs, and informed decisions are crucial for optimal use. This article shows the importance of monitoring service expenses, revising default settings, and understanding operational constraints, considering limitations like reduced flexibility and observability.
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/articles/understanding-architectures-multiregion-data-residency/en/smallimage/understanding-architectures-for-multi-region-data-residency-small-1706527727738.jpg)
Understanding Architectures for Multi-Region Data Residency
This article focuses on implementing data residency strategies for a positive stakeholder experience. It underscores the need to diversify data locations, driven by motivations like disaster recovery and geo-redundancy. The core principle is data distribution, ensuring specific sets reside in distinct regions without overlap - a practice termed data residency.
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/articles/amazon-dynamodb-transactions/en/smallimage/distributed-transactions-at-scale-in-Amazon-DynamoDB-small-1699020942782.jpg)
Distributed Transactions at Scale in Amazon DynamoDB
Amazon DynamoDB supports transactions without sacrificing performance or availability. Akshat Vig explains how DynamoDB introduced TransactGetItems and TransactWriteItems for atomic operations, proving full ACID support in distributed transactions.
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/articles/persist-with-jakartaee-data/en/smallimage/simplifying-persistence-integration-with-jakarta-EE-data-small-1696249233891.jpg)
Simplifying Persistence Integration with Jakarta EE Data
Jakarta Data streamlines Java enterprise data integration. Supporting various databases, it boosts productivity, is open-source, and community-driven. GitHub offers hands-on experience for modernizing enterprise architectures.
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/articles/ai-ml-data-engineering-trends-2023/en/smallimage/the-infoq-trends-report-small-logo-1693560017882.jpeg)
InfoQ AI, ML, and Data Engineering Trends Report - September 2023
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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/articles/leveraging-jnosql-1-0/en/smallimage/Otavio Santana article small-1692269013947.jpg)
Leveraging Eclipse JNoSQL 1.0.0: Quarkus Integration and Building a Pet-Friendly REST API
Eclipse JNoSQL 1.0.0 modernizes NoSQL integration with advanced features, standardized specs (Jakarta NoSQL & Jakarta Data), enhanced queries, schema migration, and Quarkus framework compatibility. It simplifies NoSQL use, boosts performance, scalability, and integrates seamlessly, empowering developers with tools to streamline data management in modern apps.
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/articles/jit-analytics-architecture/en/smallimage/designing-jit-analytics-architecture-for-scale-and-reuse-small-1687790095857.jpg)
Designing the Jit Analytics Architecture for Scale and Reuse
As a SaaS provider, analytical data at Jit needs to be useful to both their customers and to internal stakeholders. AWS services including EventBridge, Kinesis Data Firehose, and Timestream handle data ingestion and UI platforms from Mixpanel and Segment provide data visualization.