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Shift right in software development: Adapting observability for a seamless development experience

Dynatrace

In all seriousness, the shift-left mantra has shaken things up quite a bit in the tech industry, bringing a paradigm shift in how we approach software development. Today, engineers are spending an increasing amount of time developing and testing code in production-like environments.

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Write Optimized Spark Code for Big Data Applications

DZone

PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 173
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Software intelligence as code enables tailored observability, AIOps, and application security at scale

Dynatrace

One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 210
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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

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Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

Build an umbrella for Development and Operations In modern software engineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience.

Metrics 222
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. Monitoring-as-code requirements at Dynatrace.

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How to fine tune failure detection

Dynatrace

Automatic failure detection works well in most cases especially for web services and when developers follow good coding practices. It is basically an exception which the code doesn’t expect to occur and therefore doesn’t deal with. For instance, if I expect a “dataValidationException”, the code would look like this: Try. {.

Tuning 115