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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

In effect, the engineer designs and builds the world wherein the software operates. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. Software Development Layers.

DevOps 137
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The Magic of PITR, pg_upgrade, and Logical Replication When Used Together for PostgreSQL Version Upgrades

Percona

It was a fascinating read, shedding light on leveraging AWS snapshots’ capabilities to avoid initial data copy within the RDS environment. The scenario Service considerations In this exercise, we wanted to perform a major version upgrade from PostgreSQL v12.16 to PostgreSQL v15.4.

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What is APM?

Dynatrace

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. This may result in unnecessary troubleshooting exercises and finger-pointing, not to mention wasted time and money.

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How to Assess MySQL Performance

HammerDB

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 Instead, use the default settings.

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Scaling Amazon ElastiCache for Redis with Online Cluster Resizing

All Things Distributed

Four years ago, as part of our AWS fast data journey, we introduced Amazon ElastiCache for Redis , a fully managed, in-memory data store that operates at microsecond latency. While open source Redis comes with primitives to help reshard a cluster, they are inadequate. Atomic slot migration.

Games 112