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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Issue remediation.

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Write Optimized Spark Code for Big Data Applications

DZone

In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization. This can significantly reduce network overhead and improve performance. For example, to broadcast a lookup table named lookup_table :

Big Data 161
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. An example of a flame graph can be found below: Each box is a function in the stack, and wider boxes mean more time the system was busy on CPU on these functions. An example is kubectl-flame ( [link] ). ✔ Launching profiler. ✔ Profiling.

Code 110
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge.

Retail 258
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Dynatrace strengthens container security across popular cloud-based registries

Dynatrace

Reliability : Immutable images guarantee consistent performance and behavior, enhancing stability. This approach offers potentially improved performance and reliability, as the registry can be optimized for specific network environments. The example below shows all three images: OneAgent, CodeModules, and ActiveGate.

Cloud 212
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In Defence of DOM­Content­Loaded

CSS Wizardry

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. performance. performance.

Metrics 326
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 247