- Porter : cloud installer based on the Cloud Native Application Bundle. I didn't know about CNAB before comming across porter. But it seems that it allows you to package everything related to your application and the related cloud configuration. Looks like it supports the top 3 cloud provider, terraform, helm/ k8s.
- Project EVE : edge platform deployable on bare-metal hardware. There are some really interesting capabilities, such as the remote update/ patching aspect, unikernel support, worth a look. Also please shime along to the LF Edge website, there is some other cool edge related project out there.
- Dapr : Microsoft microservice k8s framework. Didn't have time to dig too much into it. But it seems to make quite a buzz. [github]
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Showing posts with label edge computing. Show all posts
Showing posts with label edge computing. Show all posts
Tuesday, October 29, 2019
[Links of the Day] 29/10/2019 : Cloud Native Application Bundle, Edge platform, Dapr
Labels:
bundle
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cloud
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edge computing
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k8s
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links of the day
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microservice
Thursday, May 17, 2018
[Links of the Day] 17/05/2018 : Edge Computing and the Red Wedding problem, Vector Embedding utility , Scalability efficiency
- Towards a Solution to the Red Wedding Problem : interesting look at how to handle massive Read spike while being able to update (write spike ) the content at the same time. The authors propose to leverage edge computing to spread and limit the impact of a write-heavy spike in such network
- Magnitude : this is a really cool project for those out there dabbling with NLP and vector embedding. This package delivers a fast, efficient universal vector embedding utility.
- Scalability! But at what COST? : the authors of this paper introduce the concept of measuring the scalability performance of a solution by comparing it to the hardware configuration required before the platform outperforms a competent single-threaded implementation. As always, and often, most system and company do not need a monstrous cluster to satisfy their need. But it's always more glamorous to say: "we used a cluster" rather than: "I upgraded the RAM so the model can fit in memory".
Labels:
edge computing
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efficiency
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links of the day
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NLP
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papers
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scalability
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vector embedding
Tuesday, October 31, 2017
[Links of the Day] 31/10/2017 : Machine learning at the edge, Deep Learning on Hardware , operations based CRDT
- EdgeML : Microsoft research demonstrate how to push machine learning at the edge and run KB models. We could quickly see machine learning enabled IoT device popping around us. [slides] [github]
- Efficient Methods and Hardware for Deep Learning : Quest for speed never stop, and often that means getting read of those pesky indirection layers that make your software architecture so flexible :)
- Pure Operation-Based Replicated Data Types : CRDT for operations rather than just value. But the core concepts are a little bit tricky and there is some potential pitfall in the approach. Such as the performance limitation and the reliance on causal stability ( which is really hard to obtain in pure decentralised systems)
Labels:
crdt
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deep learning
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edge computing
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hardware
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links of the day
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machine learning
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