Programming Languages

SQL powers mission-critical applications across virtually every enterprise stack. While SQL appears straightforward, troubleshooting performance and consistency issues in production systems is a complex challenge for architects and tech leads. Problems such as slow-running queries, deadlocks, lock escalation, and inconsistent execution plans emerge only under heavy load or at scale, making them elusive in lower environments. These issues not only degrade performance but also create cascading failures across microservices, ETL pipelines, and reporting systems. Understanding SQL's execution engine, locking behavior, and indexing strategies is essential for building resilient systems. This article provides deep insight into root causes, diagnostics, and best practices for addressing advanced SQL troubleshooting scenarios in enterprise contexts.

PowerShell has become a cornerstone in enterprise automation, system administration, and DevOps pipelines. Its versatility in managing Windows environments and cross-platform tasks also introduces unique troubleshooting challenges at scale. While small scripts work flawlessly in isolation, enterprise-grade PowerShell deployments encounter issues such as memory leaks in long-running jobs, remoting failures, inconsistent execution policies, and performance degradation under parallel workloads. These problems are particularly complex in hybrid environments that integrate Active Directory, cloud APIs, and CI/CD pipelines. This article explores root causes, diagnostic strategies, and architectural best practices for troubleshooting advanced PowerShell problems in enterprise systems.

Elixir, built on top of the Erlang VM (BEAM), is a functional programming language designed for scalability, fault tolerance, and concurrency. It has become popular in enterprise systems for building distributed applications and real-time services. However, troubleshooting Elixir in production at scale introduces challenges rarely covered in standard documentation—such as supervising failing processes in large clusters, managing memory pressure in long-lived nodes, and debugging performance regressions in Phoenix-based APIs. Senior engineers and architects must understand not only Elixir's syntax but also its underlying VM and OTP principles to effectively resolve these issues.