Alok Giri Oracle

1. Access Oracle Cloud Console: Log in to the  OCI Console  with your admin credentials. 2. Navigate to Identity & Security: From the main OCI dashboard, go to the  “Identity & Security”  section. Under  Identity , select  “Users” . 3. Find Your Admin User: Search for your admin user account in the  Users  list. 4. Reset MFA: Once you’ve located the admin account, click on the  username  to open the user details. On the user’s details page, scroll down to the  “Multi-Factor Authentication”  section. There will be an option to  “Reset MFA”  or  “Remove Device” . Click  “Reset MFA”  to remove any previously configured MFA devices. 5. Reconfigure MFA: After resetting, you will need to reconfigure MFA when you log in again. OCI will prompt you to set up a new MFA device. 6. Follow the Instructions for Re-Enrollment: You will be asked to scan a new QR code using an authenticator app (like Google Authenticator or Authy) and provide a verification code to finalize the setup. Once comp

In today’s digital landscape, security and identity management are top priorities for any cloud strategy. Oracle Cloud Infrastructure (OCI) Identity Domains bring cutting-edge features to help organizations manage users, access, and resources securely and efficiently. ✨ Key Features of OCI Identity Domains: Comprehensive Identity Management : OCI Identity Domains provide robust tools for managing user identities, authentication, and authorization across your OCI resources, ensuring secure and controlled access. Federated Authentication : Seamlessly integrate with external identity providers such as Azure AD, Okta, or others using industry standards like SAML and OAuth2, allowing for single sign-on (SSO) across platforms. Granular Access Control : With flexible access policies and fine-grained roles, you can enforce the principle of least privilege, giving users only the permissions they need to get their jobs done. Multi-Factor Authentication (MFA) : Strengthen security with built-in M

  it is possible to mount an external NFS (Network File System) mount point to Oracle Database as a Service (DBaaS) to write data into it. However, there are specific steps and considerations to ensure that the NFS mount is correctly configured and integrated with DBaaS, including security, network configuration, and appropriate user permissions. Here’s an outline of the steps required to achieve this: 1.  Prepare the NFS Server Ensure the NFS server is configured and accessible from the DBaaS instance. The NFS server should export the directory with appropriate permissions. Example NFS export configuration on the server ( /etc/exports  file): /nfs_shared_dir 192.168.x.x(rw,sync,no_root_squash) Restart the NFS Services. sudo exportfs -ra 2.  Ensure Network Connectivity Ensure that the DBaaS instance can reach the NFS server. You may need to set up appropriate network security rules (e.g., in Oracle Cloud Infrastructure's (OCI) Virtual Cloud Network (VCN) security lists or network s

Oracle Database 23c (often referred to as "23c AI") introduces several new and enhanced security features, particularly focusing on advanced encryption, access control, and data protection mechanisms. Here’s an overview of some of the key security updates in Oracle 23c: 1. Enhanced Data Protection and Encryption Transparent Data Encryption (TDE) Improvements : Oracle 23c enhances the performance of TDE, which encrypts data stored on disk to prevent unauthorized access. The performance optimizations reduce the overhead caused by encryption, making it more efficient for large-scale operations. Native JSON Encryption : In 23c, JSON data stored in the database can now be encrypted natively, ensuring that sensitive JSON content is protected without needing custom encryption mechanisms. 2. Unified Audit Enhancements Advanced Unified Auditing : Oracle 23c continues to evolve its unified auditing framework, making it more granular and efficient. You can now define audit policies that

  GCP has introduced a new in-memory solution, and it is still in preview mode.. "VALKEY" Valkey is an open-source, high-performance key-value data store developed as a community-driven project under the Linux Foundation, created in response to licensing changes in Redis. It supports a wide array of data structures, including strings, sets, hashes, and sorted sets, making it perfect for real-time applications such as caching, analytics, and message queues. Additionally, Valkey provides advanced features like clustering, replication, and Lua scripting for extensibility, allowing developers to customize their operations. It is backed by major cloud platforms like Google Cloud and AWS, aiming to offer a robust, open-source alternative for in-memory databases. Some key points. ============== 01. Open-source platform:- Valkey is a fully open-source key-value data store under the Linux Foundation. 02. Alternative to Redis:- It was developed as an alternative to Redis after changes

  Oracle 23c AI Sharding: An In-Depth Exploration . As technology continues to evolve, managing large-scale databases efficiently and securely has become a critical challenge. Oracle 23c introduces advanced capabilities in AI-driven database sharding, offering a robust solution for scaling modern applications. This comprehensive exploration delves into the various aspects of Oracle 23c AI Sharding, highlighting its features, benefits, and potential applications, particularly focusing on how these innovations can cater to your projects and interests. Introduction to Database Sharding Database sharding is a method of partitioning data across multiple databases, known as shards, which can be stored on different servers or geographic locations. This approach allows for horizontal scaling, enabling the database to handle large volumes of data and high traffic loads by distributing the workload across multiple nodes. Oracle 23c enhances traditional sharding with AI-driven features, providing

  Oracle Database 23c, also known as "Oracle 23c AI" or "23ai," introduces several significant enhancements and features, particularly focused on AI integration, advanced data management, and application development. Below is a detailed breakdown of the notable features: 1. AI Vector Search AI Vector Search is a major innovation in Oracle 23c, designed to facilitate the search of data based on conceptual content rather than specific keywords or values. This feature allows for: Semantic Search : Enables searches based on the meaning of documents, images, and structured data. It allows for more intuitive and accurate retrieval of information by understanding the context rather than relying solely on keyword matching. Large Language Models (LLMs) : Supports LLMs, which can query private business data using natural language. This is particularly useful for extracting relevant information from large datasets without requiring specialized query knowledge. Integration with