Persistence

SQL versus NoSQL: Choosing the Right Data Store Choosing between SQL and NoSQL is a common decision for developers. Both families can store large amounts of data, but they optimize for different needs. SQL databases rely on structured tables and a fixed schema, using SQL for powerful queries. NoSQL databases add variety with document, key-value, column-family, and graph models, often offering flexible schemas and strong horizontal scaling. The right choice depends on data shape, access patterns, and the guarantees you need. ...

Databases Demystified: From SQL to NoSQL Databases help apps store and retrieve data reliably. Today, two big families stand out: SQL databases, which use tables and fixed schemas, and NoSQL databases, which store data in flexible formats. Each approach has strengths, and many teams use both in a strategy called polyglot persistence. SQL databases organize data in rows and columns. A table defines what kind of data is stored, and relations let you connect data across tables. Common commands like SELECT, INSERT, and JOIN help create reports and power features. A good SQL database enforces ACID properties—atomicity, consistency, isolation, and durability—to keep data trustworthy even during errors or failures. ...

Persistent Data and Caching Strategies for High Performance Performance often comes from reading data fast. A well-used cache can cut latency and reduce load on storage. But stale data or lost writes can hurt trust. The goal is to keep data readily available while still writing to a durable store. In a modern app, caching happens at multiple layers: in-process memory, a distributed cache like Redis or Memcached, and a CDN for static content. Each layer offers different speed and persistence characteristics. ...

Threat Hunting: Proactive Security in Practice Threat hunting is the practice of looking for signs of hidden adversaries before they strike. It uses a hypothesis-driven approach to turn data into action. Unlike reactive incident response, threat hunting starts with questions about where an attacker could hide in your environment and what behaviors would look like if they were present. To keep hunts useful, teams stay focused on small, repeatable investigations. The aim is learning, not panic. Good data, clear goals, and strong collaboration across security roles are the backbone of a successful program. ...

SQL vs NoSQL: Choosing the Right Database Choosing a database is a practical decision for any application. SQL databases store data in tables with fixed columns. They use a strict schema and reliable relationships. NoSQL databases cover several types, such as documents, key-value stores, wide-column stores, and graphs. They often allow flexible schemas and can scale out more easily on ordinary hardware. Both families have strengths, and the best pick depends on your data, your queries, and your team. ...

Cloud Native Storage and Databases Cloud native storage is built for containers and dynamic environments. It aims to provide durable, scalable storage that can be provisioned on demand and survive pod restarts. In Kubernetes, you interact with PersistentVolumes, StorageClasses, and CSI drivers to attach storage to apps. For databases, storage is not just capacity; it is the backbone of durability and performance. Different storage types fit different needs. Block storage is fast and predictable, often used for data files and logs. File storage supports shared access, which is handy for certain workloads. Object storage scales cheaply for backups and archives. When you run databases in a cloud-native setup, you want strong durability, snapshots, and fast recovery. Look for features like cross‑zone replication, encryption, and access controls. ...