Master Kubernetes. Conquer the Cloud.
Stories, ideas & perspectives — thoughtfully written, beautifully told.
Most teams blame slow deployments on node capacity or network latency—when the real culprit is sitting right at the heart of their cluster. The Kubernetes API server and etcd can silently throttle your entire operation without a single obvious alert firing. Here's how to find the problem and actually fix it.
Read the story →
02 Service meshes promised to solve your networking headaches, but for a lot of teams, Istio turned into an expensive lesson in infrastructure cargo-culting. Before you sink more engineering hours into sidecar proxies and control planes, it's worth asking whether you're actually using any of the features you're paying for.
03 Most teams assume Kubernetes is placing their pods exactly where they intended—until a production incident proves otherwise. The scheduler's decision-making process is more nuanced (and occasionally more chaotic) than the docs let on, and the gap between what you configured and what actually happens can be surprisingly wide. Here's how to close it.
04 StatefulSets solve real problems, but they come loaded with operational baggage that most teams don't fully reckon with until something breaks at 2am. From zombie pods to orphaned volumes eating your cloud bill, stateful workloads in Kubernetes demand a level of care that the docs seriously undersell. Here's what you're actually signing up for.
05 Kubernetes networking is where confident engineers go to feel humbled. CNI plugin choices made on day one have a way of becoming expensive problems on day three hundred, and most teams only discover the mismatch when something is already on fire. Here's a frank look at why networking keeps breaking, the anti-patterns that make it worse, and how to pick an approach that actually fits your workload.
06 Most teams assume Kubernetes Secrets are secure by default — they're not, and that assumption is costing companies real data. From plaintext storage in etcd to secrets bleeding into CI/CD logs, here's an honest look at where your sensitive data is escaping and the practical controls that actually stop it.
07 Kubernetes Operators promise to turn your cluster into a self-managing system—but most teams underestimate how much domain knowledge it actually takes to build one that works. This guide breaks down the operator pattern from the ground up, walks through real-world examples, and explains why the biggest challenge isn't the code—it's capturing what your best engineer knows.
08 Cluster upgrades and node maintenance windows are a fact of life in Kubernetes—but losing data or availability because of unplanned pod evictions doesn't have to be. This guide walks through the exact PDB configuration mistakes that take down production workloads, covers real incident scenarios, and gives you a repeatable framework for setting disruption budgets that actually hold up.
09 There's a massive difference between knowing how to run kubectl apply and actually understanding what's happening inside your cluster. This is your no-fluff, six-month plan to close that gap and build the kind of Kubernetes intuition that actually matters on the job.
10 Kubernetes was practically built for stateless apps, and it shows. Running databases and message queues in K8s isn't impossible, but it requires a fundamentally different mindset—and ignoring that difference is exactly why so many teams end up with corrupted data and 3am pages.
11 The demand for skilled Kubernetes engineers has outpaced supply for years, and the people holding everything together are starting to crack. Here's what's actually happening inside DevOps teams right now—and what you can do about it before you lose your best people.
12 eBPF-based monitoring tools are making some bold promises about replacing your Prometheus and Grafana setup. Before you rip anything out, let's look at the real technical trade-offs, what the benchmarks actually show, and how to figure out if migrating makes sense for your specific cluster.
13 Single-cloud setups used to feel safe—now they feel like a liability. More US tech teams are embracing multi-cloud Kubernetes architectures to avoid vendor lock-in, improve resilience, and negotiate better pricing. This is the practical guide they wish they'd had on day one.
14 Most enterprise DevOps teams assume their Kubernetes clusters are running lean—until the cloud bill lands and the math stops making sense. From bloated resource requests to zombie persistent volumes quietly racking up charges, the waste is real and it's fixable. Here's where to look and how to claw that money back.