Optimizing Kubernetes pod deployments for reliability with topology spread constraints
https://www.gremlin.com/blog/optimizing-kubernetes-pod-deployments-for-reliability-with-topology-spread-constraints
Pod distribution plays a much bigger role in reliability than you might think. By adding a few lines to your manifest, you can ensure your deployments are zone-redundant and evenly scalable. The feature is called topology spread constraints, and in this blog, we'll explain how it works in full detail.
https://www.gremlin.com/blog/optimizing-kubernetes-pod-deployments-for-reliability-with-topology-spread-constraints
rune
https://github.com/unstablebuild/rune
Rune is a fast, GPU-accelerated, full-featured IDE and terminal multiplexer, suitable both for automatic and manual programming.
https://github.com/unstablebuild/rune
gortex
https://github.com/zzet/gortex
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local.
https://github.com/zzet/gortex
atlas
https://github.com/pacifio/atlas
Atlas is source control for coding agents. Every agent run produces checkpoints: commits are linked back to the session that made it alongside the prompts, tool calls, and reasoning. You see which agent did exactly what and why.
Run Claude Code, Codex, Atlas's own agent, or anything from the ACP registry side by side against the same codebase, with shared memory so switching agents mid-task doesn't mean starting over.
https://github.com/pacifio/atlas
ax
https://github.com/google/ax
Declare an agentic task with workspaces and gateway specifications. AX sandboxes it, wires up its workspace, fences its network, and helps running it at scale.
AX is a high-throughput, declarative orchestrator to run billions of autonomous agent workloads in a cluster. It runs on top of Agent Substrate for sandboxed execution and is built to run billions of tasks per cluster. If you have used Kubernetes, ax will feel similar.
https://github.com/google/ax
Библиотека практик: проактивная защита контейнеров
8 октября, 11:00 — стрим «Лаборатории Касперского» для тех, кто пишет и выкатывает сервисы в контейнерах.
Возможности Kaspersky Container Security, обзор контейнерных угроз и экспертная дискуссии о лучших практиках работы с контейнерными инфраструктурами.
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8 октября, 11:00 — стрим «Лаборатории Касперского» для тех, кто пишет и выкатывает сервисы в контейнерах.
Возможности Kaspersky Container Security, обзор контейнерных угроз и экспертная дискуссии о лучших практиках работы с контейнерными инфраструктурами.
Зарегистрироваться
How We Built a Data Warehouse Using ClickHouse
https://letsencrypt.org/2026/09/17/clickhouse.html
When the scripts that generate the data for letsencrypt.org/stats broke yet again, we decided to retire it rather than repair it. Let’s Encrypt issues six to ten million certificates each day, producing a large volume of logs that keeps growing. It became increasingly time-consuming and difficult to answer questions about our own issuance like “how many certificates use the ‘shortlived’ profile.” Using raw logs, this requires finding, parsing and extracting relevant portions of loglines. Querying the database behind our issuance API is not a practical option, as it’s built for transactions rather than analysis. We’d also used a log search SaaS product, but our bills were growing much faster than we’d like, and while it was fine for searching, it wasn’t able to do the analytic workloads we needed. We knew we could dream bigger and better.
https://letsencrypt.org/2026/09/17/clickhouse.html
Вместо проверок «после релиза» всё встроено в пайплайн: код проходит SAST, контейнеры сканируются, инфраструктура проверяется на комплайенс. В итоге релизы выходят быстрее и при этом безопаснее.
Этому и учит курс DevSecOps от Академии Codeby на практике:
Инженеры, которые умеют встраивать безопасность в CI/CD, сегодня в дефиците на стыке ИБ и DevOps — компании поняли, что «сначала сделать, потом чинить» обходится дороже.
Бесплатная консультация — @CodebyAcademyBot
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walgithub
https://github.com/rgodha24/walgithub
walgit with a GitHub Enterprise Server facade — git over smart HTTP from an object-store bucket
https://github.com/rgodha24/walgithub