So you’ve been running your site on WordPress, but now Gatsby is calling your name. Maybe you want faster load times, better security, or just a break from endless plugin updates. I’ve been there, and trust me—it can feel intimidating at first. But moving from WordPress to Gatsby doesn’t have to be a nightmare. In…
I’ve been digging through the 2025 Release Wave 2 plans and some preview articles, and I wanted to share what I found from a developer and maker perspective. While most announcements highlight Copilot and AI, there are several changes that will directly affect developers — especially around solution management, extensibility, and integration patterns. Here’s a…
In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST…
Author: A senior DevOps engineer who’s broken (and fixed) too many clusters so you don’t have to. Executive Summary Carve tenants with Namespaces to isolate RBAC, policies, and quotas per team. Enforce fair sharing with ResourceQuota + LimitRange so noisy neighbors can’t starve the cluster. Lock down traffic with NetworkPolicy: start with default-deny, then allow…
Hey DevTO fam! Let’s talk about something that’s been bugging me for weeks. I keep seeing companies celebrating their SOC 2 compliance like they just won the Champions League, but then getting absolutely destroyed by supply chain attacks. It’s like locking your front door but leaving all your windows wide open. The Numbers That Made…
China’s $37 billion Wuhu AI cluster seeks to rival US Stargate project, centralizing compute power despite chip and sustainability challenges.
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why rate limiting matters every API or system has limits. without some control, a single user could flood your server with requests and take it down. rate limiting solves this by controlling how many requests pass through over time. there are many algorithms for this—fixed window, sliding window, leaky bucket, and token bucket. among them,…
The following is written to be as penetrable as possible for a semi-technical audience, and includes an app to explore the output of an LLM. As a result some technical explanations are necessarily imprecise though I’ve worked hard to not say anything outright wrong. It also comes in two halves, with the latter introducing more…
