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

The Netflix TechBlog

Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg. Comparison After normalizing, we diff the responses on the two sides and check whether we have matching or mismatching responses.

Traffic 339
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Kubernetes in the wild report 2023

Dynatrace

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Kubernetes infrastructure models differ between cloud and on-premises.

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Why MySQL Could Be Slow With Large Tables

Percona

If CPU usage is not a bottleneck in your setup, you can leverage compression as it can improve performance which means that less data needs to be read from disk and written to memory, and indexes are compressed too. It can help us to save costs on storage and backup times. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. Data transfer technology. 3d render.

Cache 130
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Structural Evolutions in Data

O'Reilly

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191
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NoSQL Data Modeling Techniques

Highly Scalable

At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques.

Database 279