The Technology Upskill Mess For Application Developers
It’s been a few years since Oliver kicked off his career, as a full-stack Java developer, in this BigCorp. Inc. He learned quite a bit, primarily working on the backend: writing features, plumbing APIs, debugging code, fixing bugs, DENTTAL (Documentation, Exception Handling, Null pointers, Time complexity, Test coverage, Analysis of code…
Distributed Systems and Scalability Feed #2
Tail latency in distributed systems Tail latency is that tiny percentage of responses from a system that are the slowest in comparison to most of the responses. They are often called as the 98th or 99th percentile response times. This may seem insignificant at first…
Application Hosting – How PolyHaven Manages 5 Million Page Views and 80TB Traffic a Month for < $400
Polyhaven, a 3D asset library, recently provided insightful data on how they manage to serve 5 million page views a month, consuming a bandwidth of 80 terabytes just under 400 USD. If the same amount of traffic was served from AWS S3 object storage, that would cost more than 4K USD a month. So how do…
Low Code: The Only Article You Will Ever Need
What Is Low Code? Low code tools and platforms, just like no code, offer visual drag and drop builders along with pre-built components and features aiming to build applications fast. Compared with no code, low code tools provide developers access to the code they generate to enable them to customize…
No Code: A Profound Insight For Citizen and Professional Developers
The no code movement is quite picking up steam these days, as you might know. Also, the no code tools, especially the full-stack no code platforms, have come across as a silver bullet, claiming to empower a citizen developer to develop an app like Instagram, at the scale of Instagram in just a few weeks as…
Distributed Systems and Scalability Feed
Tail latency in distributed systems
Tail latency is that tiny percentage of responses from a system that are the slowest in comparison to most of the responses. They are often called as the 98th or 99th percentile response times. This may seem insignificant at first but for large applications like LinkedIn, this has noticeable effects. This could mean that for a page having a million views per day 10,000 of those page views would experience the delay. Read how LinkedIn deals with longtail network latencies.
There can be multiple causes of tail latency: increasing load on the system, complex and distributed systems, application bottlenecks, slow network, slow disk access and more. Read more on it.
RobinHood: Tail latency-aware caching
RobinHood is a research caching system for application servers in large distributed systems having diverse backends. The cache system dynamically partitions the cache space between different backend services and continuously optimizes the partition sizes.
Microsoft research has a talk on getting rid of long-tail latencies.
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