Echoes
Past infrastructure decisions echoing in today's production realities
Echoes
Past infrastructure decisions echoing in today's production realities
How TCP Saved the Internet and Complicated Everything After
Spin up a few thousand concurrent browser sessions and you'll hit a wall that feels arbitrary: ports exhaust, connections pile up in limbo, your infrastructure can't establish new sessions even though bandwidth looks fine. The operational puzzle isn't resource limits—it's something deeper.
TCP is doing exactly what it was designed to do. The protocol that saved the Internet from catastrophic collapse in 1986 now creates the connection management complexity that web agent infrastructure navigates daily. The constraints aren't bugs. They're consequences of decisions made for traffic patterns the web would violate constantly.
How TCP Saved the Internet and Complicated Everything After
Spin up a few thousand concurrent browser sessions and you'll hit a wall that feels arbitrary: ports exhaust, connections pile up in limbo, your infrastructure can't establish new sessions even though bandwidth looks fine. The operational puzzle isn't resource limits—it's something deeper.
TCP is doing exactly what it was designed to do. The protocol that saved the Internet from catastrophic collapse in 1986 now creates the connection management complexity that web agent infrastructure navigates daily. The constraints aren't bugs. They're consequences of decisions made for traffic patterns the web would violate constantly.
One Echo This Week
MongoDB and Redis arrived in 2009 promising escape from SQL's rigid schemas. Web 2.0 companies drowning in data grabbed the lifeline. No more schema migrations. No more JOIN complexity. Just store JSON and scale horizontally forever.
Fifteen years later, those organizations are hiring specialized teams to manage what SQL handled automatically. The "schemaless" databases still have schemas—they're just scattered across application code, enforced inconsistently, and invisible to query optimizers. What looked like operational simplicity became expertise overhead that compounds with every new developer onboarded.
The market tells the story SQL's defenders couldn't. Despite aggressive adoption campaigns and venture capital tailwinds, NoSQL holds 3% of database revenue. Most organizations either returned to SQL or adopted NewSQL hybrids like Spanner that learned the lesson: you can't eliminate complexity, only relocate it. The question isn't whether your data has structure. It's whether that structure lives in your database or your debugging sessions.
Papers That Built Infrastructure
MapReduce Made Distributed Computing Accessible to Ordinary Programmers
Simple programs now scale across thousands of machines because MapReduce hid distributed complexity behind two functions.
Cloud-native development inherited MapReduce's core idea: hide distribution behind simple interfaces developers already understand.
Papers That Built Infrastructure
CAP Theorem Formalized the Impossible Trade-offs in Distributed Systems
Your database serves stale data or goes down during network partitions because CAP's constraints are physics, not bugs.
Database evaluation becomes simpler once you recognize MongoDB versus Cassandra reflects fundamental trade-offs, not marketing claims.
Papers That Built Infrastructure
REST Was Designed for Hypermedia, Became the API Standard
REST optimized hypermedia navigation through links, but powers stateless request-response APIs that ignore hypermedia completely.
Statelessness and uniform interfaces were optimized for web browsing, not the microservices you're actually building.
Papers That Built Infrastructure
Paxos Provided the First Correct Consensus Protocol for Distributed Systems
Leader election, configuration management, transaction coordination—any distributed agreement despite failures—relies on Paxos or its descendants.
Paxos sacrifices liveness for correctness during partitions. That apparent freeze is the system being mathematically correct.
Today's Debates Yesterday's Decisions
