At a certain point, data migration stops being just about moving records from one place to another. On paper, simplicity sounds clean, but once you are dealing with large datasets, it can quickly spin out of control. You begin to struggle with fetching safely, processing reliably, recovering from failure, and resuming without corrupting data. This was the challenge in a wallet log migration I work
Client-side caching is usually implemented as a storage optimization layer (TTL, SWR, invalidation rules). In practice it behaves like a decision system under uncertainty. Static strategies fail when data volatility is non-uniform across the same application. This leads to either stale UI or excessive network traffic. This article breaks down: why standard caching approaches plateau where ML impro
Most agency onboarding fails before the kickoff call happens. Not because the team isn't good. Not because the client is difficult. Because nobody collected the right context upfront, and the kickoff call becomes the place where everyone discovers what they don't know yet. The intake form is the fix. Not a 3-question "tell us about your project" form. A real one. Here's the framework we use — 27 q
An opinionated list of Python frameworks, libraries, tools, and resources
What is Azure Storage? Azure storage is Microsoft's cloud storage solution. It allows storage of unstructured data, pdfs, file shares etc. The following steps in this article outlines how I was able to create storage for the department's testing and training. In the Azure portal, search for and select Resource groups Select + Create Give your resource group a name. For example, storagerg
If you've worked with Drupal long enough, you've faced this decision: Do I build a custom module for this or can ECA handle it? Use ECA When The logic is workflow-based Non-developers need to maintain it ECA workflows live in the admin UI. Your client or site admin can read, modify, and debug them without touching code. A custom module cannot offer that. Speed matters A workflow that would tak
Disclosure: I'm a senior backend tech lead and I run HostingGuru, where Telegram alerts ship as a built-in feature. This tutorial works on any platform — it's the manual version of what HostingGuru does for you. Useful even if you never become a customer. There's a hierarchy of where production alerts go, ranked by how likely you are to actually see them. Email → 14% open rate within an hour, less
“We have failover.” That sounds reassuring. But when real failure hits… many systems still go down — hard. Why? Because failover is easy to configure — but extremely hard to make reliable at global scale. Here are the most common ways failover fails in production: RDS Multi-AZ enabled Kubernetes failover configured Looks good on paper. Reality: Takes minutes instead of seconds Gets stuc