Problem #1: Persistence configuration
Problems arise as the application's load grows, resulting in a significantly larger database load.
To avoid such problems, you must thoroughly understand the persistence technology in use and appropriately configure all configuration settings so that its functionality is aligned with your business domain's requirements.
Problem #2: No Caching
When no caching is utilized, problems arise because it must be fetched from the database each time a resource is needed. When caching is employed, issues arise as a result of improper configuration.
It is important to note the fixed size of a cache and the distributed cache setup. Unlike pools, which provide stateless objects, cached objects are stateful. As a result, a cache must be appropriately set to avoid memory exhaustion.
Problem #3: Distributed caching
When many caches are set to many servers, synchronization is required. As a result, a cache update is propagated to all servers' caches. When caching is implemented effectively, an increase in application load does not increase database load.
Elliot's partner was his whole world, but after Allan's death, his ghost haunts Elliot's dreams. Everyone tells Elliot to move on, but he isn't sure he can.
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It's been a year since the love of Elliot's life, Allan, passed away. Everyone thinks he should have recovered after that much time, but Allan still haunts Elliot every night. He struggles to maintain relationships with his family, and despite a coworkers interest he can't summon up the courage to date. Elliot is living for the past, because to live for the present means he'll have to live with a hole in his heart. But the question Elliot has to face chases him through his monotonous days: is mourning Allan with everything he has truly living?
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