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A Comparison of eBPF Observability vs. Agents and Sidecars

DZone

The central driver of this shift is eBPF (extended Berkeley Packet Filter), a technology that is revolutionizing how we observe and monitor systems. In this article, we will compare eBPF-based instrumentation with other instrumentation methods like code agents and sidecars and see which best suits the needs of observability today.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 339
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A Guide to the Next JS Framework

DZone

It offers all the functionality we need to deploy our application in production, with a hybrid system with static pages and server-side rendered (SSR) pages. Environment variables are used in the browser code, not just server code. Code splitting: loads chunk corresponding to the page path. Comparison With Gatsby.

Mobile 246
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Reinforcement Learning for Budget Constrained Recommendations

The Netflix TechBlog

Working within the time budget introduces an extra resource constraint for the recommender system. It is important to point out that the user’s time budget, like their preferences, may not be directly observable and the recommender system may have to learn that in addition to the user’s latent preferences.

Metrics 178
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Android application testing: Comparison of the two approaches – Manual and Automated

Testsigma

Unit Tests – For verifying a minimal unit of source code. System Tests – For testing the entire app in the real environment. Let’s discuss both approaches by having a detailed comparison between the two. An ideal strategy for testing Android applications includes. Manual Testing. Signup Now.

Testing 52
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Answer-driven release validation with Dynatrace SaaS Cloud Automation

Dynatrace

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. Automated comparison of different timeframes based on SLIs and SLOs.

Cloud 237
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MongoDB Index Builds – Preventing Users From Triggering New Builds

Scalegrid

There should be very few users in your system who have access to write data to the database. Case-insensitive indexes support queries that perform string comparisons without regard to the letter case. Collation gives you the ability to specify language-specific rules for string comparison. Learn more.

Database 188