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7 Best Performance Testing Tools to Look Out for in 2021

DZone

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. Performances testing helps establish the scalability, stability, and speed of the software application. Confirming scalability, dependability, stability, and speed of the app is crucial.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability.

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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

“The historical definition of observability is transforming,” Clayton said. Organizations are evacuating data centers and going towards the cost, speed, and capability advantages that they can get from the cloud. 2023: The “Year of the Partner” The event started strong with some words from Ken Clayton, SVP, Channels, Dynatrace.

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The history of Grail: Why you need a data lakehouse

Dynatrace

A data lakehouse addresses these limitations and introduces an entirely new architectural design. Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. Ingest and process with Grail. Thus, it can scale massively.

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Is DevOps dead? Exploring the changing IT landscape and future of DevOps

Dynatrace

Thair elaborated on the concept of “designing for operations” with a car analogy. That’s not good design for Ops,” he said. At its core, DevOps encourages collaboration between development and operations teams to speed up software delivery. In reality, it has evolved [to encompass all three concepts].”

DevOps 162
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Speeding Up Hadoop Builds Using Distributed Unit Tests

Highly Scalable

we decided to start with a quick solution that immediately and drastically improves CI efficiency — distributed parallel test execution. In this article I describe a technique we used to speed up a Pig build from 9 hours to 1 hour 30 minutes using 6 Jenkins nodes. Build Steps on Jenkins.

Speed 100