A fractional CTO is a senior technical lead you retain part-time. What the role covers, when a regular cadence beats a one-off review, and four questions to ask before you hire one.

ACME clients, CT-log monitors, expiry monitors, discovery tools and enterprise CLM platforms each answer a different question. Most teams need the free ones. None of them assigns an owner to an internal CA, an appliance or an mTLS certificate.

The minimum supported PostgreSQL major moved from 12 to 13 inside Keycloak major version 26, across what looks like a routine minor bump. We upgraded 26.0.0 on Postgres 12.22 and watched where it stopped.

The CA/Browser Forum SC-081v3 schedule, dated: 200 days from 15 March 2026, 100 from 15 March 2027, 47 from 15 March 2029, with renewals per certificate per year at each step and why calendar reminders stop working at 100 days.

The CA/Browser Forum cut maximum TLS lifetimes to 47 days by March 2029. Public TLS is the easy half. The certificates that break first are the internal CA, appliance, mTLS and vendor-console certificates with no named owner.

Keycloak's 2026-09-16 advisory batch: one high-severity replay protection bypass, patched in 26.7.4. What clears it, and what breaks on the way there.

We gave Keycloak's database user full DDL rights, proved it could create and drop tables seconds before the upgrade, and the migration failed anyway. Here is what actually decides it.

A clear, end-to-end review of MLabs’ Cardano treasury funding, delivery history, and why “show your work” matters for sustainable ecosystem governance.

Learn how Haskell pattern synonyms and view patterns decouple interface from representation, deliver packed-data performance, preserve exhaustiveness, support bidirectional/read-only views, and more.

We introduce PPullArray: a fused, high-performance array API for Plutarch built on CIP-138. Learn how it simplifies array operations, eliminates intermediates, and brings measurable speedups to Cardano’s on-chain computation.

Simplify Cardano infrastructure deployment with cardano.nix—an open-source NixOS solution that provisions nodes, indexers, and monitoring in minutes. Declarative configuration replaces complex DevOps, enabling reproducible, production-ready Cardano environments with comprehensive testing and automated documentation.

Explore MLabs’ Catalyst Fund 14 proposals advancing Cardano: FeesaSwap fee abstraction, Playrz P2P gaming, TrustSwap launchpad integration, Hydra auctions, and developer tools like Covenant path analysis and CTL JS/TS. Proven delivery since Fund 9—back MLabs to grow users, builders, and real utility.

Since Fund 7, MLabs has shipped core Cardano tooling totaling 30+ successfully completed projects: the Yielding Transaction Pattern library, Plutarch, robust test suites, Covenant research, and more. Explore the proof of delivery and what’s next in Fund 14.

In this post, we unpack how Cardano smart contracts go wrong and why audits are key to preventing hard-to-fix or irreversible issues. Learn eUTxO-specific pitfalls like multiple satisfaction, plus what to prepare so an audit surfaces real issues fast.

In this post, we compare three ways to find the first matching byte in an ASCII sequence—naive loops, SWAR (SIMD Within A Register) techniques, and the C memchr via Haskell’s FFI. You’ll learn how each performs in real benchmarks, where FFI can deliver 50× speedups, and why overhead can erase those gains in certain workloads.

In this post, we explore how to write high-performance Haskell code using multi-dimensional arrays—comparing vector and massiv across clarity, parallelism, and raw speed. You'll learn how array layout, indexing strategies, and stencil-based computation can unlock massive performance gains by leveraging modern hardware more effectively.

In this post, we explore the performance characteristics of string matching in ASCII text, comparing brute force, Boyer-Moore-Horspool, and DAWG-based approaches. You'll learn how benchmarking, algorithmic analysis, and practical implementation tradeoffs intersect—revealing when optimizations help, when they hurt, and how understanding your tools leads to better real-world performance.