The Netflix TechBlog
DECEMBER 10, 2019
Netflix Hack Day?—?Fall 2019 By Tom Richards , Carenina Garcia Motion , and Leslie Posada Hack Day at Netflix is an opportunity to build and show off a feature, tool, or quirky app. The goal is simple: experiment with new ideas/technologies, engage with colleagues across different disciplines, and have fun! We know even the silliest idea can spur something more.
DZone
DECEMBER 10, 2019
Find out more about Mule 4! Sometimes when you work for a bigger client you will get a problem that is different than regular issues you get. I will talk about such a scenario in this article. Earlier we were directly polling on one location and getting data in the form of the files. After some transformation, we were sending those data (in XML) to a queue.
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All Things Distributed
DECEMBER 10, 2019
Have you ever received a call from your bank because they suspected fraudulent activity? Most banks can automatically identify when spending patterns or locations have deviated from the norm and then act immediately. Many times, this happens before victims even noticed that something was off. As a result, the impact of identity theft on a person's bank account and life can be managed before it's even an issue.
The Netflix TechBlog
DECEMBER 10, 2019
Netflix Hack Day?—?Fall 2019 By Tom Richards , Carenina Garcia Motion , and Leslie Posada Hack Day at Netflix is an opportunity to build and show off a feature, tool, or quirky app. The goal is simple: experiment with new ideas/technologies, engage with colleagues across different disciplines, and have fun! We know even the silliest idea can spur something more.
Uber Engineering
DECEMBER 10, 2019
Michelangelo , Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand , fraud detection , food discovery and recommendation for Uber Eats , and improving the accuracy of … The post Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber appeared first on Uber Engineering Blog.
The Netflix TechBlog
DECEMBER 10, 2019
Netflix Hack Day?—?Fall 2019 By Tom Richards , Carenina Garcia Motion , and Leslie Posada Hack Day at Netflix is an opportunity to build and show off a feature, tool, or quirky app. The goal is simple: experiment with new ideas/technologies, engage with colleagues across different disciplines, and have fun! We know even the silliest idea can spur something more.
TechBeacon Testing
DECEMBER 10, 2019
When it comes to QA, I am often asked, "What should my testing strategy be?" The answer, unfortunately, isn't clear-cut because it depends on your product's level of maturity.
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Baron Schwartz
DECEMBER 10, 2019
I’m excited to share the following news, cross-posted from the VividCortex blog. VividCortex is Joining SolarWinds! By Amena Ali and Baron Schwartz. We’re excited to share that VividCortex is now part of the SolarWinds family. We believe this change will help to accelerate the adoption of our product as well as the pace of our product development.
Tasktop
DECEMBER 10, 2019
We’re hopping back over the pond today to meet Tina Dankwart, one of our Value Stream Architects! She discusses the importance of building relationships at work, how she annoys her kids with Metallica and how she would describe Tasktop in one sentence. How do you start your day before work? I really would love to write something like “oh, first, I go for a run, and then I make a lovely, healthy breakfast, which I enjoy with my two children, laughing and joking, before we all, very well org
Dynatrace
DECEMBER 10, 2019
Dynatrace news. Dynatrace enables authentication through your organization’s identity provider (IdP). If you want to use your organization’s corporate credentials for authentication in Dynatrace, you can set up SAML to delegate authentication to your IdP. To make it easier for you to set up a single sign-on solution for Dynatrace in enterprise environments, we’ve improved the workflow for setting up SAML federation by introducing a setup wizard that walks you through the whole
The Morning Paper
DECEMBER 10, 2019
A tale of two abstractions: the case for object space , Bittman et al., HotStorage 2019. This is a companion paper to the " persistent problem " piece that we looked at earlier this week, going a little deeper into the object pointer representation choices and the mapping of a virtual object space into physical address spaces. …software operating on persistent data structures requires "global" pointers that remain valid after a process terminates, while hardware requires th
SQL Server According to Bob
DECEMBER 10, 2019
I was looking at a SQL Server which had generated ten(10) SQLDump####.txt files but only a single(1) SQLDump####.mdmp file. We introduced a new feature in SQL Server 2019 to save disk space for mini/crash dumps which can skip the suspension and capture for identical dump signatures, saving disk space and reducing the impact on the SQL Server instance.
ScaleOut Software
DECEMBER 10, 2019
Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s a complex challenge to select and analyze messages that surface patterns of interest. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examinat
ScaleOut Software
DECEMBER 10, 2019
Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s a complex challenge to select and analyze messages that surface patterns of interest. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examinat
ScaleOut Software
DECEMBER 10, 2019
Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s a complex challenge to select and analyze messages that surface patterns of interest. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examinat
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