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Optimizing Database Performance in Middleware Applications

DZone

One of the most significant challenges faced by middleware applications is optimizing database interactions. This is crucial because middleware often serves as the bridge between client applications and backend databases, handling a high volume of requests and data processing tasks.

Database 222
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

If you’re a developer who has ever had to troubleshoot a database issue, you know how frustrating it can be. And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. Metis has built an AI-driven database observability platform designed for developers and SREs.

Database 306
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You Need to Validate Your Databases

DZone

Ensuring database consistency can quickly become chaotic, posing significant challenges. These approaches help implement database changes smoothly, with minimal downtime and impact on performance. Without them, the risk of misconfigured databases increases just as Heroku experienced.

Database 240
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Stop Being Afraid of Databases

DZone

Ensuring database reliability can be difficult. We want developers to be able to work efficiently while taking ownership of their databases. Achieving this becomes much simpler when robust database observability is in place. Our goal is to speed up development and minimize rollbacks. Lets explore how.

Database 223
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Cost Optimization Strategies for Managing Large-Scale Open-Source Databases

DZone

In today’s world where data drives everything, managing large-scale databases and their security is both a necessity and a challenge. A few factors that organizations consider when choosing databases are primary are its cost, flexibility, and support from hosting providers. An open-source database is your best bet for many reasons.

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Avoid Cross-Shard Data Movement in Distributed Databases

DZone

Modern applications rely on distributed databases to handle massive amounts of data and scale seamlessly across multiple nodes. While sharding helps distribute the load, it also introduces a major challenge cross-shard joins and data movement, which can significantly impact performance.

Database 195
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Optimizing SQL Server Performance With AI: Automating Query Optimization and Predictive Maintenance

DZone

SQL Server is a powerful relational database management system (RDBMS), but as datasets grow in size and complexity, optimizing their performance becomes critical. Leveraging AI can revolutionize query optimization and predictive maintenance, ensuring the database remains efficient, secure, and responsive.

Servers 278