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Geek Reading - Week of June 5, 2013

DZone

A handy list of RSS readers with feature comparisons ( Hacker News). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Hacker News).

Java 244
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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. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Kubernetes infrastructure models differ between cloud and on-premises.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Query performance is measured from both warm and cold caches. Key findings. Serverless o?erings

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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. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB.