Scalegrid

JULY 13, 2020

Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. Cloud Deployments. Can be deployed on any cloud provider, with a variety of PostgreSQL hosting solutions available. SolarisUnix. JavaScript.

Open Source 244

Open Source Tuning C++ Database 244

Brendan Gregg

APRIL 14, 2022

PMC analysis (2017). I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis.

Java 142

Java Cloud Cache AWS 142

O'Reilly

FEBRUARY 18, 2020

The shift to cloud native design is transforming both software architecture and infrastructure and operations. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. Still cloud-y, but with a possibility of migration. Coincidence? Probably not, but only time will tell.

Software Architecture 145

Software Architecture DevOps Data Engineering Architecture 145

Brendan Gregg

MAY 16, 2017

We're on the EC2 cloud, which has great scalability, and our own cloud architecture of microservices is also designed for scalability. Getting frame pointer support in Java was another project I did a while ago. Java core dump analysis for a crashing JVM. - html [The PMCs of EC2]: /blog/2017-05-04/the-pmcs-of-ec2.html

Java 75

Java Entertainment Engineering Scalability 75

The Netflix TechBlog

OCTOBER 19, 2020

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. By 2017, open source projects like Open-Tracing and Open-Zipkin were mature enough for use in polyglot runtime environments at Netflix.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

The Netflix TechBlog

SEPTEMBER 13, 2021

Written by Jose Fernandez , Arthur Gonigberg , Julia Knecht , and Patrick Thomas In 2017, Netflix Studios was hitting an inflection point from a period of merely rapid growth to the sort of explosive growth that throws “how do we scale?” You’ll hear from two teams here: first Application Security, and then Cloud Gateway.

Internet 227

Internet Internet Cloud Traffic 227

Brendan Gregg

SEPTEMBER 5, 2021

I summarized this case study at [Kernel Recipes] in 2017 and have shared the full story here. ## 1. Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. I was surprised to find a whopping 38% of CPU time was in sys, which is highly unusual for cloud workloads at my employer.

Cache 141

Cache Cloud Code Java 141