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Merge pull request #2475 from pareenaverma/content_review
Spell check fixes
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.wordlist.txt

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CircleCI

content/learning-paths/servers-and-cloud-computing/cassandra-on-gcp/benchmnarking.md

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title: Cassendra Benchmarking
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title: Cassandra Benchmarking
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### FIXED, DO NOT MODIFY
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---
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## Cassendra Benchmarking by Cassendra-Stress
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## Cassandra Benchmarking by Cassandra-Stress
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Cassandra benchmarking can be performed using the built-in `cassandra-stress` tool, which helps measure database performance under different workloads such as write, read, and mixed operations.
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### Steps for Cassendra Benchmarking with Cassendra-Stress
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### Steps for Cassandra Benchmarking with Cassandra-Stress
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**Verify cassandra-stress Installation:**
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Cassandra comes with a built-in tool called **cassandra-stress** that is used for testing performance. It is usually located in the `tools/bin/` folder of your Cassandra installation.
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| Total GC Time | 0.0 s | 0.0 s |
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| Total Operation Time | 0:00:00 | 0:00:02 |
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### Cassendra performance benchmarking notes
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### Cassandra performance benchmarking notes
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When examining the benchmark results, you will notice that on the Google Axion C4A Arm-based instances:
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- The write operations achieved a high throughput of **10,690 op/s**, while read operations reached **4,962 op/s** on the `c4a-standard-4` Arm64 VM.

content/learning-paths/servers-and-cloud-computing/cassandra-on-gcp/installation.md

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```output
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```
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Cassadra's installation is complete. You can now proceed with the baseline testing.
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Cassandra's installation is complete. You can now proceed with the baseline testing.

content/learning-paths/servers-and-cloud-computing/php-on-gcp/_index.md

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minutes_to_complete: 30
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who_is_this_for: This is an introductory topic for developers migrating Hypertext Preprocesso (PHP) workloads from x86_64 to Arm-based servers, specifically on Google Cloud C4A virtual machines (VM) built on Axion processors.
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who_is_this_for: This is an introductory topic for developers migrating Hypertext Preprocessor (PHP) workloads from x86_64 to Arm-based servers, specifically on Google Cloud C4A virtual machines (VM) built on Axion processors.
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learning_objectives:
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- Provision a SUSE Linux Enterprise Server (SLES) virtual machine on a Google Cloud C4A Arm-based Axion virtual machine

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