Tue.Jun 04, 2024

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Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

The latest release of the Site Reliability Guardian incorporates assistance from Dynatrace Davis® AI to automatically derive appropriate threshold targets and adjust them over time to protect your quality improvements. This process, known as auto-adaptive thresholding, eliminates the need to define a static threshold upfront. Instead, it derives the suitable thresholds from previous validation results.

Metrics 219
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Telemetry Pipelines Workshop: Avoiding Telemetry Data Loss With Fluent Bit

DZone

Are you ready to get started with cloud-native observability with telemetry pipelines? This article is part of a series exploring a workshop guiding you through the open source project Fluent Bit, what it is, a basic installation, and setting up the first telemetry pipeline project. Learn how to manage your cloud-native data from source to destination using the telemetry pipeline phases covering collection, aggregation, transformation, and forwarding from any source to any destination.

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Downsampling Metrics in Percona Monitoring and Management: Saving Space and Improving Performance

Percona

Downsampling is the process by which we can selectively prune (discard, summarize, or recalculate) data from a series of samples in order to decrease how much storage is consumed.

Metrics 87
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Queuing Theory for Software Engineers

DZone

“Start With Why” Queues are a built-in mechanism everywhere in today's software. Not being familiar with the basics of queuing theory will prevent you from understanding the relations between latency and throughput , high-level capacity estimations, and workload optimization. Knowing the internals of queuing models is actually not that hard to grasp.

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MongoDB Partitioning: Best Practices for Scalability and Performance

Percona

MongoDB’s flexibility and speed make it a popular database choice, but as your data grows, managing and querying massive datasets can become challenging. This is where partitioning, also known as sharding, comes to the rescue.Partitioning strategically divides your data collection into smaller, more manageable chunks.

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April talk video posted: “Safety, Security, Safety[sic] and C/C++[sic]”

Sutter's Mill

Many thanks to ACCU for inviting me back again this April. It was my first time back to ACCU (and only my second trip to Europe) since the pandemic began, and it was a delight to see many ACCUers in person again for the first time in a few years. I gave this talk, which is now up on YouTube here: It’s an evolved version of my March essay “C++ safety, in context.” I don’t like just repeating material, so the essay and the talk each covers things that the other doesn’

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