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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java.

Big Data 173
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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

When visiting or relocating to another country, you must go through the local Visa process, which is often done through an online portal ahead of your trip. More worrisome was a spike in CPU usage, resulting in severe service disruption as backend processing systems crashed due to the spike in load. Dynatrace news.

Java 211
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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

If that’s the case, the update process continues to the next set of clusters and that process continues until all clusters are updated to the new version. And the code-level root cause information is what makes troubleshooting easy for developers. Step 3: Identifying root-cause in code.

Code 238
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Garbage collection is slow if most objects survive the collection process.

Speed 164
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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. The kubectl-flame container has the hostPID option enabled, and this provides visibility of the underlying Kubernetes node process ID namespace to collect system events from running processes on the host. ✔ Launching profiler. ✔ Profiling.

Code 106
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Intro to Redis Sharding

Scalegrid

It enhances scalability and manages traffic surges, though it requires specific client support and limits multi-key operations to a single hash slot. It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance.

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Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. They are very expensive. They never question this belief.

Internet 121