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How To Benchmark the End-to-End Performance of Different I/O Solutions for Model Training

DZone

This blog will demonstrate how to set up and benchmark the end-to-end performance of the training process. Architecture. The typical process of using Alluxio to accelerate machine learning and deep learning training includes the following three steps:

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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10 tips for migrating from monolith to microservices

Dynatrace

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Instead, they can ensure that services comport with the pre-established benchmarks. SLOs improve software quality. SLOs promote automation.

Software 268
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What is application modernization? How to pick an application modernization strategy

Dynatrace

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Document and benchmark existing applications, processes, and services. Once a modernization plan is in place, strategize how to monitor and measure the process.

Strategy 231
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Measuring the importance of data quality to causal AI success

Dynatrace

Improving data quality is a strategic process that involves all organizational members who create and use data. Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality. How can organizations improve data quality?

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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

In our previous posts in this series, we spoke at length about using PgBouncer and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. It uses only one process which makes it very lightweight. If we require N parallel connections, this forks N child processes.