performance degradation

Winsage
December 2, 2025
Updates in the Windows ecosystem are essential for enhancing stability, performance, and security. However, users of Windows 11 have expressed frustration due to frequent updates disrupting functionalities like network connectivity and printer access. Automatic updates can interrupt productivity, with unexpected restart prompts leading to potential loss of unsaved work. Issues with third-party programs and drivers often arise post-update, and older PCs experience significant performance degradation due to background updates. Many users face limitations with internet access, as substantial update sizes can consume data quickly, especially under fair usage policies. Storage constraints on older devices can lead to operational issues, and attempts to pause updates may not always be effective. While updates are crucial for delivering new features and security fixes, their frequency can diminish their perceived importance, causing users to delay addressing issues. Disabling automatic updates can be complicated, requiring adjustments in the Windows Update service, Group Policy Editor, or Registry, which may not be accessible or user-friendly. A simple one-click "Disable" button in the Windows Update settings would enhance user control over update installations, allowing them to manage updates according to their schedules.
Tech Optimizer
December 1, 2025
Patroni is an open-source tool for managing PostgreSQL clusters, automating failover and replication. Manual starting of PostgreSQL services within an active Patroni cluster can lead to severe disruptions, including data integrity issues and availability risks. Patroni uses a distributed consensus system, often with etcd or Consul, to manage cluster state and leader elections. Manual interventions can confuse this process, resulting in multiple nodes believing they are the primary, which can cause conflicting writes and potential data loss. Real-world incidents have documented outages due to manual starts, such as promoting a replica node to leader status inadvertently. This disrupts Write-Ahead Logging (WAL) synchronization, leading to divergent transaction logs. Database administrators are advised to use Patroni's built-in commands for service management and implement role-based access controls to prevent unauthorized manual actions. Monitoring solutions are crucial for early detection of anomalies. Simulating failure scenarios in staging environments can help prepare teams for real incidents. Ongoing advancements aim to enhance Patroni's safeguards against manual overrides, with future iterations potentially incorporating AI-driven anomaly detection.
Winsage
November 13, 2025
Microsoft has released the Windows 11 November 2025 Update (Build 26200.7171/26100.7171 or newer), which fixes an issue where the Task Manager did not close properly when the Close (X) button was clicked. This problem, first observed after the October optional update (KB5067036), caused multiple invisible instances of the Task Manager to accumulate, consuming 20-25 MB of RAM and 0 to 1.5% of CPU resources, leading to performance degradation. Microsoft confirmed that the October update inadvertently caused this issue while attempting to fix a grouping problem within the Task Manager. The November update (KB5068861) resolves the bug, restoring the expected functionality of the Task Manager. Users can check for lingering instances by opening the Task Manager and observing if multiple instances appear after closing and reopening it.
Winsage
November 3, 2025
Microsoft has acknowledged an issue affecting Windows 11 users after installing the optional October 2025 update (KB5067036), where the Task Manager does not fully close when the "Close" button is used, resulting in multiple instances of taskmgr.exe running in the background. This can lead to performance degradation, including system stuttering and CPU hangs. A temporary workaround involves manually terminating each Task Manager process or using the Command Prompt with the command: taskkill.exe /im taskmgr.exe /f. The KB5067036 update also introduced enhancements like an updated Start Menu and restored functionality to the Windows 11 Media Creation Tool, while addressing specific update errors.
Tech Optimizer
October 28, 2025
Amazon Web Services (AWS) offers monitoring tools for Amazon Relational Database Service (RDS) and Amazon Aurora databases, including Amazon CloudWatch Database Insights, which helps analyze SQL execution plans for troubleshooting and optimizing SQL query performance in Aurora PostgreSQL clusters. The PostgreSQL query optimizer generates multiple execution strategies for SQL queries and selects the most efficient based on cost estimation. A query access plan details the execution strategy, which can be analyzed using the EXPLAIN command. In December 2024, AWS launched CloudWatch Database Insights, supporting Aurora and RDS engines, aimed at helping DevOps engineers, developers, and DBAs identify and resolve database performance issues. The tool has Advanced and Standard modes, with SQL execution plan analysis available in Advanced mode. To analyze SQL execution plans, users can access CloudWatch Database Insights, review performance metrics, and compare execution plans side-by-side. For example, one execution plan may use a sequential scan while another uses an index scan, revealing differences in query performance. When troubleshooting performance degradation, DBAs can compare execution plans over time to identify changes affecting performance. For instance, dropping indexes can lead to suboptimal execution plans and increased query costs. Analyzing execution plans can uncover inefficiencies, such as missing indexes or outdated statistics. For example, a query summarizing customer spending revealed that the work_mem parameter was set too low, causing disk-based sorting instead of in-memory sorting, which degraded performance. Increasing the work_mem parameter improved query execution efficiency. CloudWatch Database Insights simplifies the process of identifying performance bottlenecks and optimizing query performance through visualizations and execution plan comparisons.
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