Sir, again! This is pure gold, normally I had a tremendous nervous about getting System Design interview, then after this channel, I aced two different interviews and getting two offers. Thank you for this!
You guys are doing an incredible job. The information is so helpful, and I really appreciate how you start simple and gradually build up to more complex concepts
Thanks for the amazing content and efforts you guys putting into each video, I really like the clean ui of the software you are writing with can you please point me out which software is this? I did my research and found none similar :(
Thanks for sharing the details. It looks like the segments and deletion looks similar to LSM. Does Elastic search also use memtable and LSM ? I will anyway dig a bit more on the Elastic Search documentation.
Was waiting for this. :) As always, useful and awesome. One doubt that I had is that the Elasticsearch and Cassandra deep dives are not showing on the website for me, in India. Is it not live yet? Or some other issue?
You're creating great content! Thanks a lot. It would be even better you could put some other study materials in the end in case we may want to dig deeper into some aspects of the topic.
@@hello_interview I use a combination of bucket and metric aggregations. eg. Terms aggregations followed by a metric or even for time series, date histogram>term>metric I'd be interested in knowing how the memory loading works at each level of aggregation. In my case, the metric sits at the root level while date histogram and terms fields are nested
Excellent explanation! I now have a full understanding of many aspects of Elasticsearch. Thanks for putting this together!
Sir, again! This is pure gold, normally I had a tremendous nervous about getting System Design interview, then after this channel, I aced two different interviews and getting two offers.
Thank you for this!
You rocked it! Major congrats on your success, don’t give us too much credit :)
@@hello_interview hahahahah you are really humble, but following this framework, also the interviewers loved the approach, this is thanks to you guys.
do I need this for a grad/junior role?
Thank you, no fluff, channel is pure discussing engineering concepts with tradeoffs :)
You guys are doing an incredible job. The information is so helpful, and I really appreciate how you start simple and gradually build up to more complex concepts
Thank you!
Plz make course for Docker and kubernetes as well if possible
kubernetes +1
Thanks for the amazing content and efforts you guys putting into each video, I really like the clean ui of the software you are writing with can you please point me out which software is this? I did my research and found none similar :(
Excalidraw
@@hello_interview Thanks dear, highly appreciate it
I bought the guided system design course. Amazing content sir!
Amazing! Let us know how you like it, we’re launching new features every couple days with the guided practice.
Amazing! it's finally here.
Drop everything you doing, and watch the new episode in Deep Dives series🎬📽🍿
🔥🔥 great for learning or reviewing concepts. Thank you
Thanks for sharing the details. It looks like the segments and deletion looks similar to LSM. Does Elastic search also use memtable and LSM ? I will anyway dig a bit more on the Elastic Search documentation.
as far as I know it's almost similar but Elasticsearch does not use the in-memory buffer(mmetable) for the query
Was waiting for this. :) As always, useful and awesome. One doubt that I had is that the Elasticsearch and Cassandra deep dives are not showing on the website for me, in India. Is it not live yet? Or some other issue?
Should be fixed in 30 minutes with the next deploy!
So well explained
I was just about to learn about elastic search and you've posted this. Thank you so much!
Amazing. Let us know what we're missing!
Why no written article on website sensei ?
Link in the description!
Very concise and informative!
Simply top notch!
You're creating great content! Thanks a lot. It would be even better you could put some other study materials in the end in case we may want to dig deeper into some aspects of the topic.
Great video. Personally, a bulk of my elasticsearch use case pertains to analytics with aggregations. It would awesome to have a deep dive into that!
What do you use it for?
@@hello_interview I use a combination of bucket and metric aggregations. eg. Terms aggregations followed by a metric or even for time series, date histogram>term>metric
I'd be interested in knowing how the memory loading works at each level of aggregation. In my case, the metric sits at the root level while date histogram and terms fields are nested
Interesting. Slowly things became clearer and more relevant. Please do same on MongoDB
Table of contents not updated with topic but good content :)
Should be fixed now!