Testing
Software supply chain attacks have surged in recent years. SolarWinds, Log4Shell, and the XZ Utils backdoor all shared a common thread: attackers compromised components that developers trusted implicitly. A Software Bill of Materials (SBOM) is the foundational tool that lets you know exactly what is inside your software—and whether
Testing
Distroless images contain only your application and its runtime dependencies — no shell, no package manager, no ls, no cat. They're dramatically more secure (Google reports 50%+ CVE reduction) and smaller than Alpine. But they're harder to debug and test. This guide covers how to validate distroless
Testing
The inner loop is the cycle a developer goes through hundreds of times a day: write code, run tests, check the result, fix what's broken, repeat. If that loop is slow, broken, or painful, developer productivity suffers. If it's fast and reliable, developers can move quickly
Continuous Testing
Continuous testing is the backbone of a high-velocity engineering team. Without it, every deployment becomes a gamble.
Deployment Testing
Deployment verification testing (DVT) is the set of checks you run immediately after a deployment completes to confirm the new version is working correctly in the target environment. It bridges the gap between "the deployment pipeline succeeded" and "the application is actually working." A successful CI
Deployment Testing
Database migration bugs are among the most damaging deployment failures. A bad migration can corrupt data, lock tables during peak traffic, or make rollback impossible. Most teams test their application code thoroughly and test their migrations barely at all. This guide covers how to build database migration testing into your
Database Testing
A bad database migration is one of the worst production incidents you can have. Unlike a bad code deploy, you can't just roll back — the data is already mutated. A migration that drops a column, truncates a table, or corrupts data during a lock-heavy ALTER can take
Data Testing
Software engineers have spent decades building CI/CD practices that make deployments safe and reliable. Data engineers are catching up—and the lessons transfer directly. A data pipeline CI/CD system automatically tests every change before it reaches production, catches regressions before they corrupt your warehouse, and gives teams the
Redis
Redis Cluster is the native horizontal scaling solution for Redis. It partitions data across multiple nodes using consistent hashing (16384 slots), with each node responsible for a subset. When a primary fails, a replica is promoted. This guide covers how to test cluster behavior—slot assignment, redirects, failover, and reconnection—
Infrastructure Testing
Crossplane lets you build a platform API on top of Kubernetes — your developers claim a PostgreSQLInstance, your platform delivers an RDS instance. But testing that pipeline, from XRD to provider to real cloud resource, requires a different approach than testing regular Kubernetes operators. This post covers Crossplane provider testing: unit
Copado
Choosing a Salesforce DevOps platform is a long-term commitment. Once your team's workflows, pipelines, and compliance controls are built around a tool, switching costs are high. The three platforms that dominate the market — Copado, Gearset, and Flosum — each take meaningfully different approaches to the same problem. This
Copado
Salesforce development without a proper DevOps process is a recipe for deployment failures, overwritten changes, and late-night emergency releases. Copado is the most widely adopted DevOps platform built natively on Salesforce, and it changes how teams deliver metadata changes from development through production. This guide walks you through everything