KnowTechGlobal

KNOW: TECH delivers short and long, focused episodes exploring modern technology, from software and hardware to AI, cybersecurity, startups, and the systems pow

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Watch the option-stack example.

https://t.co/dnXIZbURS6

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Enterprise Edition is the base, not the bundle.

Teams often assume clustering and advanced diagnostics come with the main database license. In Oracle land, major capabilities can be separate options layered on top of the Processor count.

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TCP Handshake: How Many Sequence Numbers Does a SYN Packet Burn?

#TCPhandshake #SYNpacket #sequencenumber #TCPIP #networkingbasics

▶ https://t.co/YqzSxBEtUa

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DNS Lookup: How 4 Servers Find a Website in Milliseconds

#DNSlookup #webbrowseraddressbar #domainnamesystem #howDNSworks #IPaddress

▶ https://t.co/v0H71rqjpZ

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Watch the full core-factor breakdown.

https://t.co/dnXIZbURS6

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A 64-core AMD x86 server can become 32 Oracle Processors before options or support are added.

That is the trick most teams miss: Oracle is not just counting cores. It is reclassifying them through a table.

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The payoff: the 64-core server did not really become cheaper.

It became translated. Oracle turns silicon into a contract unit first. Then base licenses, options, and support stack on top of that unit.

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This changes hardware design.

Because software can dwarf the cost of the server, teams may choose high-frequency CPUs with fewer cores just to reduce the license footprint. The contract starts shaping the rack.

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Watch the cache path unfold.

https://t.co/JqberHTpyr

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DNS is faster than the textbook diagram suggests.

A record with an 86,400-second TTL can sit in a recursive resolver for 24 hours. During that time, the resolver answers from memory.

Most lookups are not a live walk from root to domain. They are cache hits.

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The episode walks through the table.

https://t.co/dnXIZbURS6

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Oracle Database Enterprise Edition is listed at $47,500 per Processor.

But "Processor" does not always mean one physical core. The chip family can reshape the count first. That small definition change can move the whole budget.

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The full video maps where DNS actually bends.

https://t.co/JqberHTpyr

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A DNS lookup does not usually start with the global root.

That sounds wrong because the textbook diagram shows a neat walk: root, TLD, domain.

Real resolvers cheat in the best way: they cache hard, and RFC 8806 even standardizes keeping root data locally.

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So the payoff is simple:

DNS does not usually fail because every query begs the root for help.

It gets fragile where cached memory runs out and fresh authority is needed, especially when latency, reachability, and policy all collide at that boundary.

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This is the part the simple diagram hides.

Caching makes DNS fast. Local root data makes the top of the tree less scary.

But neither removes the need for live recursive-to-authoritative exchanges when freshness matters.