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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

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Plan Your Multi Cloud Strategy

Scalegrid

This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. The next challenge was to stream large amounts of traces via a scalable data processing platform. Storage: don’t break the bank!

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Central engineering teams provide paved paths (secure, vetted and supported options) and guard rails to help reduce variance in choices available for tools and technologies to support the development of scalable technical architectures. Challenges We faced a diverse set of challenges spread across many layers in the system.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. The time and effort saved with testing and deployment are a game-changer for DevOps.

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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212