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چگونه رمز عبور برای Redis تعریف و احراز هویت کنیم؟

18 فوریه 2026
PostgreSQL high CPU usage

علت مصرف CPU بالا در PostgreSQL و راه‌های کاهش آن

17 فوریه 2026
A sleek, minimalist visual representation of the PostgreSQL configuration parameter "max_parallel_workers_per_gather". The scene depicts a transparent, holographic cube suspended in a dimly lit, royal purple (#7955a3) environment, casting a soft glow. Inside the cube, a detailed, three-dimensional model of the parameter's functionality is displayed, showcasing its role in optimizing analytical workloads. The composition emphasizes simplicity, technical precision, and a sense of depth, guiding the viewer's focus to the core concept. Subtle lighting from multiple angles accentuates the cube's form and the intricate inner workings, creating a balance between mystery and clarity.

تنظیم max_parallel_workers_per_gather در PostgreSQL برای بارهای تحلیلی

16 فوریه 2026
A serene, dimly lit server room, bathed in a regal purple glow (#7955a3). In the foreground, a laptop screen displays intricate database diagrams and error logs, highlighting the complexities of Replication troubleshooting. The middle ground features a skilled technician, brow furrowed in concentration, delicately navigating the challenge of resolving replication issues. The background showcases a wall-mounted display, showcasing the interconnected nature of the Replication system, with various nodes and connections visualized in a cohesive, yet visually striking manner. The overall atmosphere conveys a sense of focus, determination, and the resolute pursuit of restoring order to the Replication infrastructure.

عیب‌یابی Replication در MariaDB (خطاهای رایج و راه‌حل‌ها)

15 فوریه 2026

کنترل دسترسی مبتنی بر نقش در ClickHouse: امنیت در سطح تولید

15 فوریه 2026

MongoDB Realm: همگام‌سازی بلادرنگ برای اپلیکیشن‌های موبایل

14 فوریه 2026

پشتیبانی از Snapshot در DragonflyDB: راهی برای پایداری داده‌ها

14 فوریه 2026

کنترل دسترسی و احراز هویت در KeyDB با ACLها

13 فوریه 2026

راهنمای کامل راه‌اندازی Hoppscotch با Docker

12 فوریه 2026
A detailed visual representation of "max_parallel_workers_per_gather optimization" in PostgreSQL. In the foreground, a sleek database server with intricate circuits and components, illuminated by a warm, ambient lighting. In the middle ground, a holographic display showcases parallel processing threads, represented by fluid, ethereal lines in a Royal Purple (#7955a3) color scheme. The background features a minimalist, futuristic landscape with towering data structures and softly glowing technology. The overall atmosphere is one of precision, efficiency, and the seamless integration of complex systems, conveying the essence of optimizing the max_parallel_workers_per_gather parameter for analytical workloads.

تنظیم max_parallel_workers_per_gather در PostgreSQL برای بارهای تحلیلی

12 فوریه 2026

بهترین روش‌ها برای ایمن‌سازی Redis در محیط Self-hosted

11 فوریه 2026

نصب و استفاده از اپلیکیشن‌های موبایل و دسکتاپ Mattermost

10 فوریه 2026
A detailed 3D illustration showcasing the optimization of database indexes. In the foreground, a large, intricate database schema diagram emerges, rendered in a sleek, modern style. The diagram is bathed in a regal, royal purple (#7955a3) glow, creating an atmosphere of sophistication and technical prowess. In the middle ground, a series of algorithm visualizations depict the complex processes involved in index optimization, represented by flowing, geometric shapes. In the background, a megan brand logo subtly anchors the scene, signifying the professional, enterprise-level nature of the subject matter. The overall composition conveys the importance and complexity of index optimization, a critical aspect of improving database query performance.

علت کند بودن کوئری‌ها در PostgreSQL و روش‌های بهینه‌سازی آنها

10 فوریه 2026

مقایسه نسخه Cloud با نسخه Self-managed در Mattermost

9 فوریه 2026
A meticulously detailed illustration of the reasons for MySQL's high memory consumption. In the foreground, a vibrant, Royal Purple (hex code #7955a3) database server, its intricate inner workings exposed, showcasing the complex memory management processes. In the middle ground, a series of dynamic visualizations depicting the various factors contributing to the elevated memory usage, such as caching, query optimization, and table structures. The background is a sleek, minimalist techno-scape, bathed in cool tones, emphasizing the precision and complexity of the subject matter. The overall composition conveys a sense of technical depth and sophistication, designed to illuminate the "دلایل مصرف بالای حافظه در MySQL" for the article's readers.

چرا MySQL حافظه زیادی مصرف می‌کند و چگونه آن را بهینه کنیم؟

9 فوریه 2026

ترفندهای قالب‌بندی پیام‌ها با Markdown در Mattermost

8 فوریه 2026

ادغام ClickHouse با Kafka برای پردازش جریان‌های داده بلادرنگ

8 فوریه 2026

MongoDB در اپلیکیشن‌های Cloud-Native: راه‌اندازی سریع و مقیاس‌پذیر

7 فوریه 2026

قابلیت مقیاس‌پذیری افقی در DragonflyDB چگونه کار می‌کند؟

7 فوریه 2026

نحوه گرفتن Snapshot Backup در KeyDB و تنظیم زمان‌بندی آن

6 فوریه 2026