At some point, every infrastructure diagram becomes fiction. A quick fix here. A hot patch there. A change made “just this once” to get things back online. Weeks later, production still works, but nobody is entirely sure why. That quiet gap between what you think is running and what’s
Uptime numbers look simple. Systems are either up or down. In reality, availability is a spectrum, and fault tolerance sits at the far and expensive end of it. High availability and fault tolerance are often used interchangeably. They shouldn’t be. They solve different problems and come with very different
Scaling in the cloud often sounds easier than it actually is. Add more instances. Put a load balancer in front. Problem solved. Until traffic increases, users start getting logged out, and things behave inconsistently across servers. More often than not, the root cause isn’t compute or networking. It’s
Cloud outages rarely start with something dramatic. It’s usually a small change. A dependency times out. A zone hiccups. Someone deploys on a Friday. Designing for failure isn’t about being pessimistic. It’s about being realistic. In the cloud, failure is not a surprise event. It’s a
Everyone has a disaster recovery plan. Some of them are written down. Others exist only as optimism. Disaster recovery sounds dramatic, but most real disasters are surprisingly boring. A region goes down. A deployment wipes the wrong database. An account gets locked. The problem isn’t the failure itself. It’
At some point, every system breaks. The only real question is whether you find out from a dashboard or from a Slack message that starts with “Hey, are you seeing this too?” That’s where monitoring and observability come in. The two terms get used interchangeably, often incorrectly, and usually
At some point in every cloud journey, someone confidently says, “Don’t worry, we have snapshots.” And at some later point, usually around 3 AM, everyone realizes that statement was doing a lot of heavy lifting. Snapshots and backups sound similar. They both involve saving data. They both make people
In the beginning, there was order. Files were neatly named, backups were labeled by date, and storage bills were reasonable. Then came reality - log folders multiplied, test data never got deleted, and backups started taking over. Welcome to the world of data lifecycle management - the quiet discipline that
If you’ve ever tried to store something in the cloud, you’ve probably run into the Big Three of storage: object, block, and file. They sound interchangeable - they all hold data, right? But under the hood, they’re built differently, optimized differently, and priced differently. And using the
At first, cloud storage feels simple. You upload a file, and it’s there forever. But somewhere between "just one more backup" and "why is my bill higher than rent", you discover storage tiers. Every cloud has them, every bill depends on them, and every engineer
At some point, every growing app hits the same problem: one server isn’t enough. You add more, but then the question becomes - who decides where traffic goes? That’s where load balancers come in. They quietly sit in front of your app, deciding which server gets which request,
Networking in the cloud feels harmless until data starts leaving it. That’s when the meter shows and starts running. Egress is everything that goes out of your cloud - downloads, cross-region sync, CDN misses - and it’s the line item that sneaks up on teams the most. The
Scaling is one of cloud’s biggest promises - start small, then grow when demand spikes. But the catch is how you scale. Do you make one machine bigger, or do you add more machines? The Basics * Scaling Up (Vertical Scaling) - giving one server more CPU, memory, or storage.
Networking in the cloud comes up in almost every conversation, whether you’re spinning up a VM, deploying a database, or building a Kubernetes cluster. At first glance, the acronyms can feel overwhelming, but in practice the concepts are straightforward once you see how they fit together (hoping you don&
The Basics Cloud providers keep the infrastructure running. You decide how you use it. * AWS - “security of the cloud” is on them, “security in the cloud” is on you. * Azure - responsibility shifts depending on whether you use IaaS, PaaS, or SaaS. * Oracle - their infra is covered, but
What is an SLA? A Service Level Agreement (SLA) is basically a promise between you and the cloud provider about how reliable a service will be. It’s measured in uptime percentage, usually across a month. It looks something like this: * DigitalOcean - 99.99% uptime on Droplets * AWS -
Why Your $5 Server Turned Into $200 It starts innocently: you spin up a tiny instance to test an idea, maybe add a database, a few storage buckets… and then one morning your cloud invoice arrives and you start wondering how you managed to spend more on cloud than on
What Is the Cloud, Really? If you’ve spent any time around technology, you’ve heard the phrase “the cloud.” It’s in marketing pitches, investor decks, and even casual conversations. But ask five people what it means, and you’ll likely get five different answers. The Basics At its