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Programmer Weekly

Welcome to issue 130 of Programmer Weekly. Let's get straight to the links this week.

Quote of the Week

"Objects are abstractions of processing. Threads are abstractions of schedule." - James O. Coplien

Reading List

Scaling PostgresML to 1 Million Requests per Second
At PostgresML, we are very concerned with scale. Our engineering background took us through scaling PostgreSQL to 100 TB+, so we're certain that it scales, but could we scale machine learning alongside it? In this post, we'll discuss how we horizontally scale PostgresML to achieve more than 1 million XGBoost predictions per second on commodity hardware.

Scientists Increasingly Can’t Explain How AI Works
AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accurately and rapidly produce them.

Linux Boot Partitions and How to Set Them Up
Let’s have a look how traditional Linux distributions set up /boot/ and the ESP, and how this could be improved.

Reducing BigQuery Costs: How We Fixed A $1 Million Query
During the infrastructural exploration of a pipeline my team was building, we discovered a query that could have cost us nearly $1 million USD a month in BigQuery. In this post, we’ll detail how we reduced this and share our tips for lowering costs in BigQuery.

How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement Volume
In this post, we will demonstrate how we improved Pinterest Homefeed engagement volume from a machine learning model design perspective — by leveraging realtime user action features in Homefeed recommender system.

Continuous Delivery at HubSpot: a Homegrown Platform that Delivers Features, Fast
HubSpot's Continuous Delivery homegrown platform enables engineers to build quickly, easily, and have fun doing so.

In defense of linked lists

Containers are chroot with a Marketing Budget

Watch and Listen

Microservice Architecture and System Design with Python & Kubernetes
Learn about software system design and microservices. This course is a hands-on approach to learning about microservice architectures and distributed systems using Python, Kubernetes, RabbitMQ, MongoDB, mySQL.

Talos deep dive
This video introduces Talos from scratch and showcases how it works with a demo. This video will be enough to get you knowledge about what Talos is and how you can get started with creating your own Talos Kubernetes cluster.

Interesting Projects, Tools and Libraries

Apache AGE
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

Phlare
Horizontally-scalable, highly-available, multi-tenant continuous profiling aggregation system.

cnquery
cnquery is a cloud-native tool for querying your entire fleet. It answers thousands of questions about your infrastructure, and integrates with over 300 resources across cloud accounts, Kubernetes, containers, services, VMs, APIs, and more.

Talos
Talos is a modern OS for running Kubernetes: secure, immutable, and minimal. Talos is fully open source, production-ready, and supported by the people at Sidero Labs All system management is done via an API - there is no shell or interactive console.

katana
A next-generation crawling and spidering framework.

slashbase
Slashbase is an open-source minimal collaborative IDE for your databases in browser.

pisk
PostgreSQL sessions in Vim.

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