tezvyn:

☁️DevOps & Cloud

Infrastructure, containers, CI/CD, and cloud

125 bites

Cloud Platforms30 sec read

AWS Dedicated Hosts: Your Own Physical Server in the Cloud

An AWS Dedicated Host is your own physical server in the cloud, providing single-tenant hardware. Use it for "bring your own license" (BYOL) software tied to physical cores, or for compliance rules that forbid multi-tenancy.

Cloud Platforms30 sec read

AWS Placement Groups: Control Where Your Instances Run

AWS Placement Groups let you control where EC2 instances run relative to each other. Use a Cluster group for low-latency HPC, or Spread/Partition groups to reduce correlated hardware failures. The main footgun is picking the wrong strategy for your workload.

Cloud Platforms30 sec read

Spot Instances: Trade Reliability for Huge Cost Savings

Spot Instances let you use spare AWS compute for up to 90% off. They're great for fault-tolerant jobs like batch processing or CI/CD. The footgun: AWS can reclaim your instance with a two-minute warning, so don't use them for critical workloads.

Cloud Platforms30 sec read

User Data Scripts: Day-One Instance Configuration

User data scripts are your instance's "Day One" instructions, automatically running commands like package installs on first boot. Use it to set up a web server or install agents without manual SSH.

Cloud Platforms30 sec read

AWS Reserved Instances: Commit to Compute, Save Big

Reserved Instances are like leasing a car instead of renting daily: commit to 1-3 years of compute for a steep discount. They're ideal for predictable, steady-state workloads. The footgun is buying inflexible Standard RIs when your needs might change.

Cloud Platforms30 sec read

Auto Scaling Groups: Elasticity and Self-Healing

An Auto Scaling Group (ASG) is like a thermostat for your servers, automatically adding or removing instances to match demand and replacing any that fail. Use it for web apps with variable traffic or services that need to self-heal from instance failures.

Cloud Platforms31 sec read

The Cloud's Shared Responsibility Model

Using the cloud means you share security duties with the provider. The split depends on the service: in IaaS, you manage the OS and up; in PaaS, just your app and data; in SaaS, mostly your data and users.

Cloud Platforms30 sec read

Cloud Scalability vs. Elasticity: Planned Growth vs. Real-Time Reaction

Think of scalability as adding lanes to a highway for long-term growth. Elasticity is opening a reversible lane only during rush hour. Scalability handles predictable demand, like a product launch; elasticity manages unpredictable spikes, like a viral post.

CI/CD & Automation30 sec read

Shift Left Security: Treat Security Like a Bug

Treat security vulnerabilities like bugs by finding them early in the development cycle, not as a final gate before release. This means running automated security scans in CI/CD pipelines and even in your IDE.

CI/CD & Automation30 sec read

Secret Sprawl: When Credentials Multiply Unchecked

Secret sprawl is when credentials like API keys multiply without control, getting lost in code, config files, and CI/CD pipelines. It's common in automated cloud systems where non-human identities proliferate.

CI/CD & Automation30 sec read

Artifact Signing: Proving Your Code is Your Code

Artifact signing is a notary's seal for software, proving who built it and that it hasn't been tampered with. It's used in CI/CD to sign container images and binaries before publishing.

CI/CD & Automation30 sec read

Developer Portals: A Self-Service Hub for APIs

A developer portal is a self-service hub for APIs, bundling docs and access controls so developers can discover and use APIs without platform team help. They're used externally for third-party developers or internally for infrastructure automation.

CI/CD & Automation30 sec read

Docker Image Tagging: A Strategy for Reliable Deployments

Think of Docker tags as pointers, not permanent labels. Multiple tags like `v1.2.3` and `production` can point to the same image SHA, enabling reliable CI/CD and rollbacks. The footgun is relying on mutable tags like `latest` in production.

CI/CD & Automation30 sec read

Visual Regression Testing: Catching Unintended UI Changes

Visual regression testing is a 'spot the difference' game for your UI, comparing screenshots to a baseline to catch visual bugs. It's used in CI/CD to prevent CSS regressions and layout breaks that unit tests miss.

CI/CD & Automation30 sec read

Score: Define Your Workload Once, Run Anywhere

Score is a universal remote for your workload configs, letting you define what your app needs once in a `score.yaml` file. It translates this spec into files for Docker Compose or Kubernetes, preventing config drift.

CI/CD & Automation30 sec read

Software Catalog: Your Org's Engineering Map

A software catalog is a searchable map of your software ecosystem, tracking ownership and metadata for every service, library, and pipeline. It helps growing orgs discover services and find owners.

CI/CD & Automation30 sec read

App of Apps Pattern: Manage Application Fleets, Not Individuals

The App of Apps pattern uses a single parent Argo CD application to declaratively manage a fleet of child applications. This is ideal for bootstrapping entire environments from one Git repo.

CI/CD & Automation30 sec read

Flux CD: Git as the Source of Truth for Kubernetes

Flux CD makes Git your cluster's source of truth. It automatically syncs Kubernetes manifests from a repo to your cluster, ensuring the live state matches your config. This is for continuous delivery, not CI.

CI/CD & Automation30 sec read

eBPF: Run Sandboxed Programs in the Linux Kernel

eBPF lets you run sandboxed programs directly in the Linux kernel, like adding programmable event handlers to your OS. This enables high-performance networking, security, and observability without changing kernel code.

CI/CD & Automation30 sec read

Fuzz Testing: Finding Bugs with Random, Invalid Inputs

Fuzz testing is automated chaos engineering for your inputs. It feeds your program semi-random, invalid data to uncover crashes and security flaws, especially in code that parses files or network protocols.