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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

Tuning 52
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Have You Tested Your App Performance & Capacity Recently?

Apica

Hollywood works closely with IT organizations to provide streaming (non-linear) content, especially during seasonal events, because e-business and e-commerce interactions via these web applications are as revenue critical as cable subscriptions are. Load and stress-testing benchmark goals for the backend technological components.

Testing 40
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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . The first example shows a data load, the second a TPC-C based workload with 5 virtual users and the 2nd example with 10 virtual users. A good example of how tuning is an iterative process.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

In short, Lambda functions can take on almost all of the operational duties of running an application; all you need to do is provide the code that should be executed on a given event or trigger. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements.

Lambda 221
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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

exports.handler = async function(event, context) { console.log("EVENT: n" + JSON.stringify(event, null, 2)); return context.logStreamName; }. The virtual CPU is turned off. On the other hand, features needed for monitoring large applications, like memory dumps, code-level-visibility, or event loop metrics on Node.js

Lambda 218
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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

In short, Lambda functions can take on almost all of the operational duties of running an application; all you need to do is provide the code that should be executed on a given event or trigger. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements.

Lambda 182