A Technical I.T./DevOps Blog
Problem scenario
You want to learn more about low latency programming for working at a hedge fund company. Where do you begin?
Solution
An Amazon search for “low latency programming” brings up books that could be very useful for other high-paying I.T. jobs in big data such as an Apache Thrift book or a book for Building a Columnar Database on RAMCloud.
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Continue reading “How Do You Learn More About “Low Latency Programming”?”
Problem scenario
Let’s say you want to rearrange the columns a of SQL table because a special order would make subsequent SQL commands easier. Or you just want to avoid disk contention on the underlying storage device. How do you optimize SQL to do less input/output activity on the disk while being able to rearrange the order of columns?
Solution
There are other ways such as avoiding “select *”,
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Problem scenario
You want web page refreshes to happen more quickly for your website when a user clicks “Reload” in her web browser. The website you manage is powered by Nginx configured as an HTTP load balancer (aka a reverse proxy). This Nginx configuration is in a Docker container too. The rule you want is that clients’ inbound connection requests from a specific IP address should be relayed to the same Nginx server every time that client reloads the web page in the web browser.
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Problem scenario
To improve performance of your HTTP load balancing mechanism, you want to configure how failed members of the load balancer are dealt with. Some Nginx instances may fail in your environment. You do not want attempts to send web traffic to these instances immediately after several failures. How do you granularly keep track of failed attempts and remove the instance from the distribution algorithm after a certain limit has been reach to improve performance by attempting only more reliable instances?
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