werner

7 ms·

1.
S3 Files(allthingsdistributed.com)
379 points by werner 5mo ago|119 comments
2.
Removing friction from Amazon SageMaker AI development(allthingsdistributed.com)
4 points by werner 1y ago|0 comments
3.
District heating: Using data centers to heat communities(allthingsdistributed.com)
4 points by werner 3y ago|1 comments
4.
Standing on the shoulders of giants: Colm on constant work(allthingsdistributed.com)
10 points by werner 3y ago|0 comments
5.
by werner 3y ago
You are right, it was a typo. It should have been 10.0.0.0/8. Updated that in the blog, also resolved a confusion about the memory in a P3dn.24xlarge. Thanks for your critical reading!
6.
Building and operating a pretty big storage system called S3(allthingsdistributed.com)
804 points by werner 3y ago|160 comments
7.
Amazon’s distributed computing manifesto (1998)(allthingsdistributed.com)
247 points by werner 4y ago|53 comments
8.
Curious about quantum computing(allthingsdistributed.com)
35 points by werner 5y ago|0 comments
9.
A new era of DevOps, powered by machine learning(allthingsdistributed.com)
3 points by werner 5y ago|0 comments
10.
How the Seahawks are using an AWS data lake to improve their game(allthingsdistributed.com)
20 points by werner 6y ago|4 comments
11.
Understanding Climate Change Using High Performance Computing&Machine Learning(allthingsdistributed.com)
1 points by werner 6y ago|0 comments
12.
Reinventing Virtualization with the AWS Nitro System(allthingsdistributed.com)
2 points by werner 6y ago|0 comments
13.
When scaling your workload is a matter of saving lives(allthingsdistributed.com)
4 points by werner 6y ago|0 comments
14.
Proving security at scale with automated reasoning(allthingsdistributed.com)
88 points by werner 7y ago|10 comments
15.
A one size fits all database doesn't fit anyone(allthingsdistributed.com)
5 points by werner 8y ago|0 comments
16.
Changing the calculus of containers in the cloud(allthingsdistributed.com)
5 points by werner 8y ago|0 comments
17.
Infinitely scalable machine learning with Amazon SageMaker(allthingsdistributed.com)
5 points by werner 9y ago|0 comments
18.
A Decade of Dynamo(allthingsdistributed.com)
107 points by werner 9y ago|54 comments
19.
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Databases(allthingsdistributed.com)
3 points by werner 9y ago|1 comments
20.
Bringing the Magic of Amazon AI and Alexa to All Apps on AWS(allthingsdistributed.com)
3 points by werner 10y ago|0 comments
21.
by werner 10y ago
Amazon has been building technology based on ML&DL for over 20 years and has developed several frameworks. You must have missed the announcement of this open source framework earlier in the year: https://github.com/amznl
22.
MXNet – Deep Learning Framework of Choice at AWS(allthingsdistributed.com)
99 points by werner 10y ago|56 comments
23.
Welcoming Adrian Cockcroft to the AWS Team(allthingsdistributed.com)
145 points by werner 10y ago|16 comments
24.
by werner 11y ago
Can you elaborate on the intra- inter-* latencies your are seeing? for AZ independent services this should single digits.
25.
by werner 11y ago
No mesos under the hood. You can bring mesos as your own scheduler.
26.
by werner 11y ago
You can choose eventual or fully consistent in DynamoDB. Given that full consistency comes at a higher cost (read from a quorum of replicas) we expose that cost to you. BTW nobody wants eventual consistency, it is a fact of live among man
27.
by werner 11y ago
Nope, we have built a new scheduler for you that will allow placement over multiple AZ's, replace failed containers, allow them to connect to ELB's, etc.
28.
Under the Hood of Amazon EC2 Container Service(allthingsdistributed.com)
136 points by werner 11y ago|34 comments
29.
Updated Lampson's Hints for Computer Systems Design(allthingsdistributed.com)
6 points by werner 13y ago|0 comments
30.
by werner 13y ago
Luke, drop me a note at werner [at] amazon with a link to the support ticket you created, and we'll see what we can do.

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