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What is cloud migration?

Dynatrace

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost.

Cloud 172
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10 tips for migrating from monolith to microservices

Dynatrace

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52
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What is observability? Not just logs, metrics and traces

Dynatrace

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Watch webinar now! Making observability actionable and scalable for IT teams. Why the three pillars of observability aren’t enough.

Metrics 363
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The Ultimate Guide to MySQL Partitions

Percona

Watch this on-demand webinar from Percona to learn how! This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. Suboptimal Partitioning Strategies : Choosing the wrong partitioning strategy or key can lead to performance degradation.

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A Tutorial on MongoDB Sharding With Best Practices & When To Enable It

Percona

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Learn more: View our webinar on How to Scale with MongoDB. 2) Hardware limitations Disk and memory are inexpensive nowadays. What is sharding in MongoDB? An example is running MongoDB on Mesos.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Scalability: As an application expands and needs to handle more data and user loads, the database must scale accordingly.

Tuning 52