ItвЂ™s a volatile storage space that is defined within the RAM. Create a ramdiskДЄ ramdisk is used for application caching or work areas. In a worst-case scenario where the physical memory is full, the memory belonging to inactive processes will be moved to swap space, allowing the vital active processes that need memory to continue.

Create a swap partitionД¬reate a swap partition in your server it can be used as virtual memory for your server. Here are some best practices that can help prevent memory issues from occurring. Optimizing memory in Linux is a complex undertaking, and fixing an overloaded memory requires significant effort. On the other hand, if the system is allowed to keep giving out virtual memory to programs uncontrolled, it will crash when thereвЂ™s no physical memory left. On the one hand, this helps the system avoid underutilizing RAM. Memory overcommit is the term used to describe what happens when we allow the application to use more virtual memory than the physical memory can serve. When this occurs, weвЂ™ll often see a large uptick in memory usage and the system freezing. There have been reports of malware exploiting vulnerable Amazon EC2 instances for cryptomining. When using Amazon EC2, we should pay attention to the machineвЂ™s configuration. If we configure the database to use maximum memory when we have several requests to the database, the memory in our Linux server will soon be overwhelmed. Take a MySQL database as reference: To achieve high performance, it applies a buffering mechanism for caching and indexing data. With many reads and writes to the database while the application handles user requests, our database can consume considerable memory. When discussing high memoryвЂ“consuming processes, we must mention databases. This makes the application store more states than necessary, and with only a few users, memory usage greatly increases. Instead of being isolated for thread safety, the hibernate session is included in the same HTTP session. But thereвЂ™s an error that frequently occurs when developers work with hibernate sessions.

When working with databases in Java, hibernate session is commonly used for creating connections and managing the session between the server and the database. However, developers tend to forget to clean up session caching data afterward. It allows developers to store users per session and makes it easy to save or get data object value. Session caching is often used when storing the intermediate state of the application. The wrong configuration could make the cache grow too quickly, leaving less memory for other processes running in the system. The two most common causes are wrong configuration in caching and session caching anti-pattern.Д¬aching is a common way to achieve high performance for applications but when applied incorrectly, it can end up hurting system performance instead. There are several applications implemented using Java, and their incorrect implementation or configuration can lead to high memory usage in the server. For quick and effective troubleshooting, first we need to rule out the most likely reasons. A Linux server can consume a considerable amount of memory for various reasons.

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