Portal by Spotify cut my Claude Code token usage by 90% (7 minute read)
Most of what a coding agent does is I/O rather than reasoning, such as reading five files to answer a question about one method. Spotify routed that work to two declarative Portal modes, bulk-reader and code-writer, both running Gemini 2.5 Flash on an ephemeral runtime, and reserved the frontier model for problems that need it. A quarter of engineering leaders already spend $200 to $500 per developer per month on tokens, and some are past $2,000.
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ZGateway: Learnings from putting a proxy in front of ZippyDB (11 minute read)
This post explains why Meta put a managed proxy tier in front of ZippyDB, its massive key-value store. The real lesson is that proxies can turn client-fleet sprawl into a controllable infrastructure boundary: connection fan-in drops roughly 97–98%, batching and coalescing happen across clients, excess traffic from noisy tenants can be selectively rejected, and failover and load-balancing policy can change centrally without waiting for a million clients to update.
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Taking Analytics by Storm with Agents (49 minute video)
Nao's founders argue that AI is shifting data teams toward maintaining business context and enabling self-service analytics. They recommend starting with one focused use case, measuring results, and improving data models before investing in a full semantic layer.
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Pre-release of Polars 2.0 (4 minute read)
Polars 2.0 makes the streaming engine the default for lazy queries, aiming for much lower memory use and faster execution while accepting that row order is not guaranteed unless requested. It also tightens type coercion and concatenation behavior, and removes deprecated APIs so data mismatches fail earlier instead of hiding in production pipelines.
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Apache Kafka vs Apache Iggy: Same log, different engine (15 minute read)
Apache Iggy is a Rust streaming engine with Kafka-like logs and consumer groups, optimized around thread-per-core execution and modern Linux I/O. It looks promising for low-latency single-node or simpler deployments, but Kafka still has the deeper production story for replication, exactly-once semantics, compaction, and multi-region operations.
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Sail 0.7: Stateless Compute, Durable Job State (5 minute read)
Sail 0.7 pushes Spark-style intermediate state toward object storage with blocking shuffle and checkpoint support. It persists shuffle outputs as compressed Arrow streams so downstream task regions retry without cascading upstream failures, while checkpointing keeps iterative jobs from rebuilding long query plans. The design targets stateless workers, smaller clusters, and better resilience under preemption.
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When the source of truth is a Google Sheet (6 minute read)
Warner Music Group turned a hand-edited anti-counterfeit tracking spreadsheet into governed Databricks tables without taking the spreadsheet away from operators. The pipeline handles shifting tabs, renamed headers, late edits, row fingerprints, and full-overwrite loads so executive reporting can trust a messy business interface that people actually use.
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Getting ready for PostgreSQL 19 (13 minute read)
PostgreSQL 19 Beta 3 adds temporal SQL, idempotent upsert-and-fetch, IGNORE NULLS window behavior, concurrent repacking, DDL extraction helpers, SQL/PGQ graph querying, and stricter NULL handling.
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DuckFlight (GitHub Repo)
DuckFlight lets PostgreSQL tools and Arrow Flight SQL clients read and write the same live DuckDB database without a separate service or copying data.
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