- Skydive : open source real-time network topology and protocols analyzer providing a comprehensive way of understanding what is happening in your network infrastructure.
- Vertex : the authors propose to use vertex entropy for detecting and understanding node failures in a network. By understanding the entropy in a graph they are able to circumvent the lack of locality in the information available and pinpoint critical nodes.
- Monitoring Machine Learning Models in Production : Once you have deployed your machine learning model to production it rapidly becomes apparent that the work is not over.
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Showing posts with label production. Show all posts
Showing posts with label production. Show all posts
Tuesday, June 02, 2020
[Links of the Day] 02/06/2020 : Real time network topology, Detecting node failure using graph entropy, Monitoring machine learning in production
Thursday, November 08, 2018
[Links of the Day] 08/11/2018 : large scale study of datacenter network reliability, What to measure in production, Failure Mode effect Analysis
- A Large Scale Study of Data Center Network Reliability : the authors study reliability within and between Facebook datacenters. One of the key findings is the growth in complexity, heterogeneity and interconnectedness of datacenter increase the rate of occurrence of unwanted behaviours. Moreover, this seems to be also a key potential limiting factor for world scale spanning infrastructure undergoing rapid organic growth.
- Understanding Production: What can you measure? : what do you need to monitor and measure in production. Very good summary of many blog post out there.
- Failure Mode Effects Analysis (FMEA) : once you start reaching a certain production scale and more stringent requirement kicks in ( unless you were unlucky enough to have them at the get-go). You might want to run a failure modes and effects analysis (FMEA) is a step-by-step approach for identifying all possible failures in a design, a manufacturing or assembly process, or a product or service. While it was mainly designed to address shortcomings in the manufacturing industry, it is still extremely useful for IT system analysis, especially when you want to prepare yourself pre-rollout of a chaos monkey like system.
Labels:
analysis
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chaos
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datacenter
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links of the day
,
measure
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monitoring
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network
,
production
,
reliability
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