DevOps

  • Zombie Processes: Dead Code That Still Haunts the System

    Zombie Processes: Dead Code That Still Haunts the System

    In operating systems, not every threat is loud. Some are silent, subtle, and buried deep in the process table. Zombie processes fall exactly into that category: tasks that have already finished execution but refuse to disappear. They’re technically dead, yet still present a residue of poor process management that can grow into a system-wide…

  • The Silent Crash: When Systems Fail Without Leaving a Trace

    The Silent Crash: When Systems Fail Without Leaving a Trace

    In distributed systems, cloud platforms, and high-performance infrastructures, the most dangerous failures are not the ones that fill dashboards with red alerts they are the ones that vanish without a footprint. A silent crash is the nightmare scenario every serious engineer eventually faces: the system collapses, data disappears, and yet no error is logged.…

  • System-Wide Exception Management in Distributed Architectures

    System-Wide Exception Management in Distributed Architectures

    Distributed systems don’t fail gracefully they fail loudly and non-linearly. A single unhandled exception in one microservice can trigger a chain reaction that takes down queues, overloads upstream dependencies, and ultimately collapses the entire platform. Effective exception management in this environment is not about catching errors; it’s about designing an architecture that absorbs failures…

  • Escaping Deadlocks in Transactional Databases: Practical Strategies for Real Systems

    Escaping Deadlocks in Transactional Databases: Practical Strategies for Real Systems

    Deadlocks aren’t theoretical annoyances they’re workflow killers. In a transactional database, a single deadlock loop can freeze critical operations, force retries at scale, and cripple overall throughput. Teams that treat deadlocks as “rare accidents” eventually pay the price. The reality is simple: if your application uses locks, your system is already vulnerable. 1. Why…

  • Optimizing Context Switches in the Linux Kernel: Hidden Performance Leverage

    Optimizing Context Switches in the Linux Kernel: Hidden Performance Leverage

    1. What Context Switching Really Costs Every time the kernel performs a context switch — moving execution from one thread to another — the CPU flushes registers, updates the program counter, and reloads process metadata. This is not “free multitasking.” It burns thousands of CPU cycles.When the switch rate spikes, cache locality is destroyed…