Automation

In large-scale IT systems, especially those processing billions of raw data records, even a tiny error rate can translate into millions of issues – potentially affecting reporting, billing, compliance, or even revenue recognition. This raises a critical question:How do you handle data processing errors at scale? Some organizations rely heavily on manual validation. It works… […]

Recently, one of our friends started a freelance project. A small system, some backend elements, e-commerce, and variety of external APIs. Simple stuff, right? With plenty of time before the deadline, he thought:“Perfect chance to try this cool new framework everyone’s talking about!  Why not let an AI assistant help me code?” In the beginning,

It starts harmlessly enough:◽ Postgres for core data 💪◽ Redis for caching ⚡◽ Elasticsearch because “search is hard” 🤓◽ DynamoDB… no one remembers why, but it’s in prod now 😬◽ ClickHouse for analytics because someone read a blog post about it once 📊◽ SQLite for that one internal CLI tool, obviously 💡◽ Oh, and MongoDB

If one cloud can go down, just use two clouds, right? That’s resilience. Or… is it just a fancy way to double your AWS and Azure bills while increasing the number of dashboards you ignore? We’ve all heard it: Suddenly, you’re knee-deep in IAM policies from two different providers, debugging why your GCP function can’t

You set up monitoring to get peace of mind…Now you’re managing 6 dashboards, 3 alerting systems, and a Slack channel that never sleeps. Prometheus. Grafana. Loki. Datadog. ELK. Sentry. PagerDuty… Somehow, we went from “just add a metrics exporter” to needing a PhD to figure out why latency spiked at 3am. We just wanted observability…

You’re not alone. Many teams struggle to find a simple, effective solution that meets their unique needs. Too often, you’re forced to choose between: 🔹 Tools that are too simple and lack even basic functionality 🔹 Tools that are too complex, expensive, and bloated with features you’ll never use 🔹 Multiple disconnected apps that don’t

We hear this all the time — and we’ve taken action. In today’s hybrid work reality, seamless mobile usability isn’t a bonus — it’s a baseline. That’s why we’ve redesigned our task tracker to deliver a truly mobile-first experience built for how modern teams work: ✅ Here’s what’s improved:• Responsive layouts that adapt naturally to

In today’s hybrid work environment, switching between desktop and mobile is part of our daily routine. Whether you’re managing a ticketing system, tracking tasks, or reviewing reports, mobile usability is essential for staying responsive and efficient. That’s why we’ve enhanced our SaaS builder platform – now, all applications created with it work seamlessly on mobile

If you’re running a home lab or hosting small services (like Pi-hole, MiniDLNA, immich, DNS, or a personal Git server), you’ve probably hit this decision point: ➡️ Should I run it in containers, or just install it directly on the host? After experimenting with both approaches, here’s what I’ve learned: 🐳 Containers (Docker/Podman/K8s) ✅ Easy