Author Archives: Todd Hoff
Author Archives: Todd Hoff
Hey, HighScalability is here again!
The circulatory system of the internet. @tylermorganwall
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Sorry for the long gap in posting, but I’ve been building a new app. I’m looking for testers for my new iOS fitness app: Max reHIT Workout. It guides you through proven reduced-exertion high-intensity interval workouts. If that interests you, please give it a try through TestFlight. I’d appreciate any feedback and suggestions for improvement. Thanks!
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What would a totally new search engine architecture look like? Who better than Julien Lemoine, Co-founder & CTO of Algolia, to describe what the future of search will look like. This is the first article in a series.
Search engines, and more generally, information retrieval systems, play a central role in almost all of today’s technical stacks. Information retrieval started in the beginning of computer science. Research accelerated in the early 90s with the introduction of the Text REtrieval Conference (TREC). After more than 30 years of evolution since TREC, search engines continue to grow and evolve, leading to new challenges.
In this article, we look at some key milestones in the evolution of search engine architecture. We also describe the challenges those architectures face today. As you’ll see, we grouped the engines into four architecture categories. This is a simplification, as there are in reality a lot of different engines with various mix of architectures. We did this to focus our attention on the most important characteristics of those architectures.
Hey, it's HighScalability time!
Not your style? This is completely different. No, it’s even more different than that.
Today in things that nobody stopped me from doing:
— Forrest Brazeal (@forrestbrazeal) May 28, 2021
The AWS Elastic Load Balancer Yodel Rag. pic.twitter.com/ocyVLf8WlU
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Do employees at your company need to know about the cloud? My book will teach them all they need to know. Explain the Cloud Like I'm 10. On Amazon it has 307 mostly 5 star reviews. Here's a 100% keto paleo low carb carnivore review:
Hey, HighScalability is back!
This channel is the perfect blend of programming, hardware, engineering, and crazy. After watching you’ll feel inadequate, but in an entertained sort of way.
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Do employees at your company need to know about the cloud? My book will teach them all they need to know. Explain the Cloud Like I'm 10. On Amazon it has 285 mostly 5 star reviews. Here's a 100% bipartisan review:
Hey, HighScalability is here again!
Reverse engineering an ancient analog computer is a detective story worth reading. A Model of the Cosmos in the ancient Greek Antikythera Mechanism.
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Know someone who needs to know the cloud? I wrote Explain the Cloud Like I'm 10 just for them. On Amazon it has 262 mostly 5 star reviews. Here's a review that is not on the block chain:
This is a guest post by Paddy Byers, Co-founder and CTO at Ably, a realtime data delivery platform. You can view the original article on Ably's blog.
Users need to know that they can depend on the service that is provided to them. In practice, because from time to time individual elements will inevitably fail, this means you have to be able to continue in spite of those failures.
In this article, we discuss the concepts of dependability and fault tolerance in detail and explain how the Ably platform is designed with fault tolerant approaches to uphold its dependability guarantees.
As a basis for that discussion, first some definitions:
Dependability
The degree to which a product or service can be relied upon. Availability and Reliability are forms of dependability.
Availability
The degree to which a product or service is available for use when required. This often boils down to provisioning sufficient redundancy of resources with statistically independent failures.
Reliability
The degree to which the product or service conforms to its specification when in use. This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its Continue reading
This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Author & founder of BangDB.
This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. I have also used the default six test scenarios as defined by the YCSB framework. I have restricted it to 10M records for each test. However, user can run the bench for as many numbers as they practically find suitable.
Following configurations were used for the evaluation purpose.
Each of these workload test runs in two steps, 1. Load and 2. Run. Load stage is to load the data and then run stage we run the test. I have run each test with Continue reading
Hey, it's HighScalability time once again!
Amazon converts expenses into revenue by transforming needs into products. Take a look at a fulfillment center and you can see the need for Outpost, machine learning, IoT, etc, all dogfooded. Willy Wonka would be proud.
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Know someone who could benefit from becoming one with the cloud? I wrote Explain the Cloud Like I'm 10 just for them. On Amazon it has 238 mostly 5 star reviews. Here's a review that has not been shorted by a hedge fund: