thickice

Anecdotally I keep hearing the overuse/abuse of OOP (Object Oriented Programming paradigm), especially in Java, has proved to be counter productive over the last two+ decades. This obviously is a religious topic; but clearly the heavy push for OOP seems to be waning as can be seen from the approach languages like Go have taken and their success.

Are there any studies/good articles that looked into quality of software systems that relied too much on OOP, how not doing so could have been better, and if the trend of moving away from heavy OOP is here to stay ?

Most content in the social media platforms are dynamic and generated per user based on their friends, iikes, subscriptions etc. Does this mean search engines don't get to index any of the contents shared in social media platforms ? Does Google deploy any special tricks to crawl and index content that's 'normally' not accessible ?

https://queue.acm.org/ is providing membership free access for three months. Looking for suggestion for good papers to read. My primary areas of interest, concurrency/performance at scale, distributed systems, authentication/authorization.

I have good ideas for side projects and in general want to keep myself primed by solving algorithmic problems (I am an individual contributor with 15+ years exp and no plans to move to management roles).

But I struggle with self control and discipline. I come home on a Friday evening and end up binge watching or do unproductive/unnecessary things online till like 3 or 4 AM and screw up the next day as well. With other kids/family activities I end up no time at all to improve my skills.

I really want to improve my self control and discipline to avoid doing this, but it has been a struggle. If you have had similar problem and overcame it would really appreciate if you can share some tips.

Its an area I suck, writing good functionality/integrations tests for the features I implement.

Looking for blogs/articles from developers who are better at this, tips, practices etc.

When migrating from Linux firewall to AWS Security Groups are there any issues to be aware of ? I believe number of rules is limited in AWS Security Groups. Are there other limitations or known issues ?

Can you share some blog posts, presentations about modern monitoring & alerting framework used by web scale companies ?

I hear a lot of about Graphite, Prometheus, Nagios, Datadog etc. But missing the big picture view of how to put the pieces together for a complete monitoring stack that is scalable and efficient.

- what are the main technical differences in the way networking is implemented in AWS vs GCP ?

- Are there any commonly used networking solution with physical hardware (Cisco, Arista etc.) that doesn't work well or needs a redesign to work with either provider ?

- What are the potential gotchas with either when running at scale.

I am interested in the NLP space. Which language has wider collection of libraries that are mature ? Also, what is a good source to understand the literature (algorithms) in the area of NLP.

Apparently CA's platform can monitor & analyze millions of requests going through JVM nodes per second. Are there details about how exactly the JVM monitoring is implemented ? Are there similar open source tools ?

SANS.org paper on NIDS says the following "performs an analysis for a passing traffic on the entire subnet. Works in a promiscuous mode, and matches the traffic that is passed on the subnets to the library of knows attacks"

Is there any public list of such known attacks ? Also, are there any reliable open source software in Linux that can do NIDS ?

It looks really expensive (~$140 per month per employee ?) but the company seems to be growing crazy and also a very good place to work for.

How are they able to pull off such a high subscription price ?

For enterprises managing/orchestrating VMs across decent size data centers (few thousand nodes) which is used more in production, mesos or Openstack ? Is there any info out there about real production experiences with these two technologies.

I understand that these two languages have a completely different design philosophy and can't be compared apple to apple. But purely from an industry adoption point of view which one is more likely to be the winner ?