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The same configuration works well for both HTTP and HTTPS requests-no additional changes are required if your certificate and trust configurations are properly set up. However, when sending HTTPS requests, ensure: 1. A valid SSL/TLS certificate is installed on the server and trusted by your Java application. 2. The certificate is not expired, revoked, or misconfigured. If you’re still encountering a SocketTimeoutException: read timed out, check the following: 1. Timeout settings: Verify and configure appropriate connection and read timeouts in your Rest Client. 2. Server response time: Ensure the server can process the request and respond within the configured timeout period. If the issue persists, please share your sample RestTemplate/WebClient configuration

If you want to bypass certificate validation for testing or development purposes (not recommended for production), you can configure RestTemplate to trust all certificates. Bypassing certificate validation is insecure and should only be done in controlled environments like testing or debugging. Never use this in production. SSLContext sslContext = SSLContextBuilder.create() .loadTrustMaterial((X509Certificate[] chain, String authType) -> true) // Trust all certificates .build(); SSLConnectionSocketFactory sslSocketFactory = new SSLConnectionSocketFactory( sslContext, NoopHostnameVerifier.INSTANCE); Registry<ConnectionSocketFactory> socketFactoryRegistry = RegistryBuilder.<ConnectionSocketFactory>create() .register("http", PlainConnectionSocketFactory.INSTANCE) .register("https", sslSocketFactory) .build(); PoolingHttpClientConnectionManager connectionManager = new PoolingHttpClientConnectionManager(socketFactoryRegistry); not recommended to use above code in production environment

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Thank you for your insightful feedback. You are absolutely correct-when dealing with large datasets, such as 1 million or even 5 million records, it's best to store the data in a database and utilize database filtering for pagination. In this tutorial, we've kept the data in-memory to keep the focus on the core logic, as we haven't introduced database integration yet. As we move forward and incorporate database access, we will indeed leverage the power of database filtering and pagination to ensure efficient data management and retrieval. Your input is greatly appreciated and will help improve the upcoming content!

@@GyanDarpan22 don't worry it's just a feedback to improve, i like this type of content and you do a great job explaining