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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Scalability and failover Extensions 2.0

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Driving your FinOps strategy with observability best practices

Dynatrace

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. ” But Dynatrace goes further.

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AWS serverless services: Exploring your options

Dynatrace

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Scalability. Finally, there’s scalability. Let’s get started.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

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Scalable Solutions With Percona Distribution for PostgreSQL (Part 1): Set Up Three PostgreSQL Database Instances

Percona

Welcome to the first installment of our series: Scalable Solutions with Percona Distribution for PostgreSQL. sudo percona-release setup ppg-15 # Install "percona-ppg-server-15" package sudo apt install percona-ppg-server-15 Now, let’s verify if the service is operating correctly.

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Infinitely scalable machine learning with Amazon SageMaker

All Things Distributed

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on. Streaming algorithms.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. This was a perfectly sufficient design for many years. To name a few: Updating XML files is error-prone and manual in nature.