Uber Engineering

MARCH 7, 2019

Reliability engineering teams at Uber build the tools, libraries, and infrastructure that enable engineers to operate our thousands of microservices reliably at scale. At its essence, reliability engineering boils down to actively preventing outages that affect the mean time between … The post Using Machine Learning to Ensure the Capacity Safety of Individual Microservices appeared first on Uber Engineering Blog.

Machine Learning 111

Machine Learning Engineering Building IT 111

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Pandora Engineering

MARCH 6, 2019

It’s 7 o’clock. I tug my blanket tightly over my face, hoping to whisk the morning away. The sound of my favorite playlist soothes me to a gentle rise. I smile. The alarm worked. Months of hard work collaborating with Google™, including many days at each others’ offices, came to life in that moment. Just a week earlier, we announced the release of the Pandora integration with the Clock app from Google.

Media 52

Media Architecture Engineering Algorithm 52

Advancing Analytics: Data Engineering

MARCH 5, 2019

Today is my first day back in the office after attending SQLBits in Manchester last week. SQLBits is the UK's largest Microsoft Data Platform conference. What makes this event special is that it is organised for the community, by the community and is not for profit - All the proceeds go in to funding the event and in particular, the awesome Friday night party.

Deep Learning 52

Deep Learning Big Data Machine Learning Data Science 52

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Database

Uber Engineering

MARCH 8, 2019

First introduced by Uber in November 2018, Peloton , a unified resource scheduler, manages resources across distinct workloads, combining separate compute clusters. Peloton is designed for web-scale companies like Uber with millions of containers and tens of thousands of nodes. … The post Open Sourcing Peloton, Uber’s Unified Resource Scheduler appeared first on Uber Engineering Blog.

Engineering 109

Engineering Designing Management Architecture 109

Teradata

MARCH 4, 2019

Find out how data scientists can contribute to solving real-life business problems, as well as how Teradata Vantage can help data scientists enable a better ROI for their company.

Data 49

Data 49

Netflix Tech

MARCH 6, 2019

FlameScope sub-second heatmap visualization. Less than a year ago, FlameScope was released as a proof of concept for a new profile visualization. Since then, it helped us, and many other users, to easily find and fix performance issues, and allowed us to see patterns that we had never noticed before in our profiles. As a tool, FlameScope was limited.

Programming Language 40

Programming Language Coding Programming Cloud 40

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that continuously broadcasts tons of events before they start mining it to create music out of simply noise. Today, companies from all around the world are witnessing an explosion of event generation coming from everywhere, including their own internal systems.

Cloud 88

Cloud Banking Kafka NoSQL 88

Teradata

MARCH 7, 2019

Teradata CEO Oliver Ratzesberger celebrates International Women's Day.

Building 69

Building 69

Data Engineering Podcast

MARCH 4, 2019

Summary Customer analytics is a problem domain that has given rise to its own industry. In order to gain a full understanding of what your users are doing and how best to serve them you may need to send data to multiple services, each with their own tracking code or APIs. To simplify this process and allow your non-engineering employees to gain access to the information they need to do their jobs Segment provides a single interface for capturing data and routing it to all of the places that you

Google Cloud 100

Google Cloud Kafka Media Data Warehouse 100

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Netflix Tech

MARCH 6, 2019

MezzFS?—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. It’s used extensively in our media processing platform, which includes services like Archer and runs features like video encoding and title image generation on tens of thousands of Amazon EC2 instances.

Media 85

Media Bytes Process Accessible 85

Netflix Tech

MARCH 7, 2019

Design Principles for Mathematical Engineering in Experimentation Platform at Netflix Jeffrey Wong, Senior Modeling Architect, Experimentation Platform Colin McFarland, Director, Experimentation Platform At Netflix, we have data scientists coming from many backgrounds such as neuroscience, statistics and biostatistics, economics, and physics; each of these backgrounds has a meaningful contribution to how experiments should be analyzed.

Designing 69

Designing Engineering Data Science Python 69