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

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Watch webinar now!

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10 tips for migrating from monolith to microservices

Dynatrace

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. With real-time observability, teams can easily plan their migration and fine-tune performance as they migrate microservices.

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Upcoming Webinar Tuesday, 7/31: Using MySQL for Distributed Database Architectures

Percona

Such architectures bring many benefits (such as scalability and resiliency), but can also bring a lot of pain if incorrectly designed and executed. Register for the webinar. In this presentation, we will look at how we can use MySQL to engineer distributed multi-node systems. Peter Zaitsev, CEO and Co-Founder.

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What is chaos engineering?

Dynatrace

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment. Watch webinar now! Who uses chaos engineering?

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More powerful Cosmos DB persistence

Particular Software

Like the rows of shrubs in a hedge maze, the logical partitions that divide data must be carefully planned, because that affects the scalability of the system and defines the boundaries for logical transactions. The key to a successful Cosmos DB system is its data partitioning strategy. In version 1.1

Azure 52