The Netflix TechBlog

MARCH 4, 2024

Since we use a shared feature set to predict both targets, have good labels, and need to run inference quickly online to meet SLOs, we decided to formulate the problem as a multi-output supervised learning task. In particular, we use a simple Feedforward Multilayer Perceptron (MLP) with two heads, one to predict each outcome.

Tuning 210

Tuning Efficiency Big Data Engineering 210

DZone

NOVEMBER 17, 2022

Here is where machine learning (ML) systems and predictive analytics enter: to end ambiguity. If there is a regression, back it goes. Most times, we already know the output even though it needs to be better defined — less ambiguous with clear boundaries of where a regression falls.

Engineering 256

Engineering Performance Analytics Testing 256

DZone

SEPTEMBER 20, 2021

Learning any performance testing tool could be challenging. Sometimes the technical documentation looks abstract, and the learning curve could be steep. In this blog post, I am going to list out five things to know before learning JMeter. JMeter Is Not a Browser.

Testing Tools 329

Testing Tools Performance Testing Testing Performance 329

The Netflix TechBlog

AUGUST 24, 2022

by Ehtsham Elahi with James McInerney , Nathan Kallus , Dario Garcia Garcia and Justin Basilico Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations.

Metrics 178

Metrics Systems Architecture Processing 178

DZone

SEPTEMBER 28, 2021

So, you want to learn about performance testing and progress towards performance engineering or DevOps or Site Reliability Engineering. I was directed to learn the tool, then the performance concepts. It is like, learning to swim by directly jumping into the pool. There is no end to learning stuff.

Performance Testing 188

Performance Testing Testing Performance DevOps 188

InfoQ

APRIL 15, 2024

The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 105

Artificial Intelligence Big Data Data Engineering Latency 105

Dynatrace

MAY 19, 2022

Lessons learned. Each of these customers is continuously learning when it comes to SLO management. The post Lessons learned from enterprise service-level objective management appeared first on Dynatrace blog. Below is a summary of their key takeaways: Understand SLAs and internal business goals.

Automotive 270

Automotive Latency Architecture Azure 270

DZone

AUGUST 9, 2023

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

Scalability 246

Scalability Best Practices Open Source Virtualization 246

DZone

MARCH 2, 2021

Also using the producer-driven approach and Spring Cloud Contract , we have put into practice everything learned. I was thinking of ending this series of posts with a compilation of lessons learned. While reflecting on this, I remembered that in my learning process, there was a lesson that stood out from the rest.

Testing 198

Testing Architecture Cloud Processing 198

High Scalability

JULY 16, 2023

We’ve been using it at Meta for the past ten years, and learned a lot while doing so. Here are four things we learned while scaling up Presto to Meta scale, and some advice if you’re interested in running your own queries at scale. Presto is a free, open source SQL query engine.

Open Source 110

Open Source Engineering Processing Scalability 110

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. Both machine learning and artificial intelligence offer similar benefits for IT operations. How exactly does it differ from machine learning?

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

FEBRUARY 28, 2022

This is a key reason why our team launched Dynatrace University (DTU) over ten years ago, which offers an easy-to-use platform that delivers on-demand and live guided learning to enable our customers to develop the skills needed to monitor, manage, and analyze cloud environments with the Dynatrace Platform. Learning paths.

Virtualization 199

Virtualization Education Cloud Monitoring 199

The Netflix TechBlog

JULY 20, 2020

Fuzzy diffing using k-nearest neighbors clustering from machine learning (the kind of thing logreduce does) produces around 40,000 candidate lines but takes an hour to complete. on CPU with eager execution for transfer learning and scikit-learn NearestNeighbor for k-nearest-neighbors. we used Tensorflow 2.2

Development 177

Development Open Source Tuning Network 177

DZone

JANUARY 4, 2024

One of the most transformative applications of IIoT is predictive maintenance and anomaly detection, made possible by the integration of Machine Learning ( ML) and Artificial Intelligence ( AI ) technologies.

Artificial Intelligence 130

Artificial Intelligence Monitoring Internet Internet 130

DZone

JANUARY 12, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare and finance to autonomous vehicles and Algorithmic trading. However, ensuring their resilience and reliability is crucial as AI and ML systems become increasingly integral to our daily lives.

Artificial Intelligence 109

Artificial Intelligence Systems Engineering Healthcare 109

DZone

JANUARY 12, 2023

In 2022 the news about artificial intelligence (AI) and automatic learning (Machine Learning or ML) have skyrocketed and are expected to accelerate in 2023. Many claims that these technologies will be the most disruptive and transformative ever developed.

Artificial Intelligence 141

Artificial Intelligence Healthcare Education Hardware 141

DZone

NOVEMBER 22, 2022

This is an article from DZone's 2022 Performance and Site Reliability Trend Report. For more: Read the Report. Site reliability engineering aims to keep servers and services running with zero downtime. However, outages and incidents are inevitable, especially when dealing with a complex system that constantly gets new updates.

Servers 240

Servers Engineering Processing Systems 240

DZone

JANUARY 7, 2021

Learning to code simply means improving your knowledge and finding various ways to solve all the problems more efficiently than ever before. Complete Search. Eulerian Path. Two-Dimensional. Dynamic Programming. Computational Geometry. Minimum Spanning Tree. Approximate Search. Recursive Search Techniques. Heuristic Search.

Programming 255

Programming Efficiency Java C++ 255

All Things Distributed

APRIL 20, 2021

We are starting to treat DevOps, and the toolchains around it, as a data science problem – And when we think of it this way, code, logs, and application metrics are all data that we can optimize with machine learning (ML).

DevOps 218

DevOps AWS Metrics Technology 218

DZone

JULY 21, 2021

The SysML v2 Visualization Origin Story. Systems Engineering is the discipline of integrating parts into a functioning whole. It is responsible for communicating needs and capabilities between stakeholders and specialists.

Engineering 246

Engineering Systems Design Software 246

Dynatrace

DECEMBER 16, 2019

The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. Intellectual debt and IT: A machine learning inflection point. Machine learning systems work—often quite well—through correlation, not causation.

Artificial Intelligence 149

Artificial Intelligence Traffic Efficiency Innovation 149

Smashing Magazine

SEPTEMBER 2, 2021

Interactive Learning Tools For Front-End Developers. Interactive Learning Tools For Front-End Developers. Because this industry moves so quickly, learning new skills is a regular thing for most of us. Whatever you want to learn from CSS to SQL, this categorized list should have you covered. Tools To Learn Flexbox.

Development 145

Development Games Education Programming 145

Addy Osmani

DECEMBER 9, 2022

Write about what you learn. It pushes you to understand topics better. Sometimes the gaps in our knowledge only become clear when explaining things to others. Blooms Taxonomy can help here.

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DZone

JULY 24, 2023

In today's digital age, managing inventory efficiently and accurately is a challenge that many businesses face. The use of Artificial Intelligence (AI) can greatly enhance the effectiveness of inventory management systems, helping to forecast demand, optimize stock levels, and reduce waste.

Artificial Intelligence 189

Artificial Intelligence Efficiency Systems 189

DZone

JULY 27, 2020

Why not learn test programming strategies and approaches? When you're looking for places to learn test programming, Test Automation University has you covered. From API testing through visual validation, you can hone your skills and learn new approaches on TAU. What do you do when you have lots of free time on your hands?

Programming 130

Programming Testing Strategy Best Practices 130

The Morning Paper

OCTOBER 18, 2020

The case for a learned sorting algorithm , Kristo, Vaidya, et al., We’ve watched machine learning thoroughly pervade the web giants , make serious headway in large consumer companies , and begin its push into the traditional enterprise. This is the essence of Learned Sort. But what about systems software? A first try.

Cache 137

Cache C++ Java Tuning 137

Tech News Gather

SEPTEMBER 27, 2023

In the same way, the education sector is also going with a huge transformation and experiencing the virtual learning experience. Emerging technologies like AR, VR, Cloud, and many more help to introduce advanced E-learning mobile applications for Android, iOS, and web to meet the different objectives.

Processing 59

Processing Social Media Development Education 59

The Morning Paper

OCTOBER 6, 2019

150 successful machine learning models: 6 lessons learned at Booking.com Bernadi et al., We’ve previously looked at the deep penetration of machine learning models in the product stacks of leading companies , and also some of the pre-requisites for being successful with it. KDD’19. Prediction serving latency matters.

Latency 102

Latency Metrics Cache Design 102

DZone

OCTOBER 20, 2021

For everyone having done multithreading and async programming, it's fairly obvious that the amount of complexity required to ( correctly ) implement threading and async increases the cognitive requirements to understand the codebase to sometimes unfathomable amounts.

Programming 239

Programming Code 239

DZone

MAY 30, 2018

In our previous blog, MachineX: Layman's Guide to Association Rule Learning, we discussed what Association rule learning is all about, and as you can already tell, with a large dataset, which almost every market has, finding association rules isn't very easy.

Artificial Intelligence 130

Artificial Intelligence Performance 130

The Netflix TechBlog

OCTOBER 18, 2019

Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? They enable rapid learning and better decision-making for product rollouts. We are committed to sharing our learnings with the community and hope to discuss progress here, especially our work on Policy Evaluation and Bandit Metrics in future meetups.

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

All Things Distributed

MARCH 19, 2018

In machine learning, more is usually more. Machine learning is one such transformational technology that is top of mind not only for CIOs and CEOs, but also developers and data scientists. For example, training on more data means more accurate models.

Scalability 144

Scalability AWS Technology Technology 144

CSS - Tricks

JULY 27, 2021

I also learned from time that it’s ideal if the First Contentful Paint (FCP) contains the LCP. The LCP image had loading="lazy" on it, which we just learned isn’t a good place for that. Fixing technique and learnings: I’ve been eying up some new fonts anyway. Fixing technique and learnings: I don’t know!

Cache 97

Cache Google Innovation Testing 97

Adrian Cockcroft

JUNE 2, 2023

What I learned at GlueCon 2023 — Tipping Points and Generative AI The final slide of my GlueCon keynote featuring a sunset over a pool in Maui — picture by Adrian I’ve presented at GlueCon many times over the last decade or so. There were also side tracks on Web Assembly and Observability.

Social Media 98

Social Media Innovation Open Source Entertainment 98

The Morning Paper

JANUARY 14, 2020

Programmatically interpretable reinforcement learning , Verma et al., Being able to trust (interpret, verify) a controller learned through reinforcement learning (RL) is one of the key challenges for real-world deployments of RL that we looked at earlier this week. all deployments at some level) as we saw last week.

Programming 63

Programming Network Games Processing 63

The Morning Paper

JULY 18, 2019

Meta-learning neural bloom filters Rae et al., Being an ICLR paper of course, you won’t be surprised to learn that the solution involves neural networks. This puts us in the same territory as SageDB and ‘ The case for learned index structures.’ ICML’19. Neural Bloom Filters.

Network 86

Network Java Database Hardware 86

Speed Curve

MARCH 7, 2022

A Google machine-learning study I participated in a few years ago found that the total number of page elements was the single greatest predictor of conversions. And, similar to JavaScript, more CSS files equals more potential trouble. How does page bloat hurt your business?

Mobile 145

Mobile Benchmarking Google Metrics 145