I've gotten a few questions about Aurora Serverless v2 preview, so here's what I've learnt so far. Please feel free to chime in if I've missed anything important or got any of the facts wrong.

Alright, here goes the 🧵...

Q: does it replace the existing Aurora Serverless offering?
A: no, it lives side-by-side with the existing Aurora Serverless, which will still be available to you as "v1".
Q: Aurora Serverless v1 takes a few seconds to scale up, that's too much for our use case where we get a lot of spikes. Is that the same with v2?
A: no, v2 scales up in milliseconds, during preview the max ACU is only 32 though
Q: is the cold start for Aurora Serverless v2 still a few seconds?
A: yes, unfortunately...
Q: so if you want to avoid cold starts, what's the minimum ACU you have to run?
A: minimum ACU with v2 is 0.5
Q: does v2 still scale up in double increments, e.g. 4 ACU -> 8 ACU?
A: no, it scales up in increments of 0.5 ACUs, so it's a much tighter fit for your workload, so you'll waste less money on over-provisioned ACUs
Q: is there anything I can do with v2 that I can't do with v1?
A: yes, v2 supports all the Aurora features, including those that v1 is missing, such as global database, IAM auth and Lambda triggers
Q: wait, but it's twice as much per ACU!
A: yes, but v1 requires a lot of over-provisioning because it doubles ACU each time and takes 15 mins to scale down. v2 scales in 0.5 ACU increments and scales down in < 1 min. AND you get all the Aurora features!
Q: can you use "provisioned" and "serverless" instances in the same Aurora cluster?
A: yes you can! cool, right!?
Q: is data API supported on v2?
A: not in the preview, I'm guessing it'll be there in GA
Q: if using from Lambda, do I need to use RDS Proxy to manage the connections to the cluster? Data API kinda mitigated that for v1..
A: yes, you probably should, until data API is enabled on v2, otherwise, more connections = more ACUs, it can run you into trouble
did I miss anything? plz feel free to chimp in

@jeremy_daly has written a nice summary post on this too, with a nice experiment on the scaling behaviour of v2, so check it out if you haven't already https://t.co/DIGylN0HFX

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Democrats & DNC Media are going to LITERALLY have nothing coherent to say in response to that.

Mueller's team was 100% partisan.

That's why it's brilliant. NOBODY will be able to claim this team of partisan Democrats didn't go the EXTRA 20 MILES looking for ANY evidence they could find of Trump campaign/Russian collusion during the 2016 election

They looked high.

They looked low.

They looked underneath every rock, behind every tree, into every bush.

And they found...NOTHING.

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Mueller got full 100% cooperation as the record will show.
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हिमालय पर्वत की एक बड़ी पवित्र गुफा थी।उस गुफा के निकट ही गंगा जी बहती थी।एक बार देवर्षि नारद विचरण करते हुए वहां आ पहुंचे।वह परम पवित्र गुफा नारद जी को अत्यंत सुहावनी लगी।वहां का मनोरम प्राकृतिक दृश्य,पर्वत,नदी और वन देख उनके हृदय में श्रीहरि विष्णु की भक्ति अत्यंत बलवती हो उठी।


और देवर्षि नारद वहीं बैठकर तपस्या में लीन हो गए।इन्द्र नारद की तपस्या से घबरा गए।उन्हें हमेशा की तरह अपना सिंहासन व स्वर्ग खोने का डर सताने लगा।इसलिए इन्द्र ने नारद की तपस्या भंग करने के लिए कामदेव को उनके पास भेज दिया।वहां पहुंच कामदेव ने अपनी माया से वसंतऋतु को उत्पन्न कर दिया।


पेड़ और पौधों पर रंग बिरंगे फूल खिल गए और कोयलें कूकने लगी,पक्षी चहकने लगे।शीतल,मंद,सुगंधित और सुहावनी हवा चलने लगी।रंभा आदि अप्सराएं नाचने लगीं ।किन्तु कामदेव की किसी भी माया का नारद पे कोई प्रभाव नहीं पड़ा।तब कामदेव को डर सताने लगा कि कहीं नारद क्रोध में आकर मुझे श्राप न देदें।

जैसे ही नारद ने अपनी आंखें खोली, उसी क्षण कामदेव ने उनसे क्षमा मांगी।नारद मुनि को तनिक भी क्रोध नहीं आया और उन्होने शीघ्र ही कामदेव को क्षमा कर दिया।कामदेव प्रसन्न होकर वहां से चले गए।कामदेव के चले जाने पर देवर्षि के मन में अहंकार आ गया कि मैने कामदेव को हरा दिया।

नारद फिर कैलाश जा पहुंचे और शिवजी को अपनी विजयगाथा सुनाई।शिव समझ गए कि नारद अहंकारी हो गए हैं और अगर ये बात विष्णु जी जान गए तो नारद के लिए अच्छा नहीं होगा।ये सोचकर शिवजी ने नारद को भगवन विष्णु को ये बात बताने के लीए मना किया। परंतु नारद जी को ये बात उचित नहीं लगी।