SEO tips are a set of best practices and guidelines to optimize websites and web pages to improve their visibility and ranking in search engine results pages (SERPs), by focusing on technical, content and user-experience optimization, keyword research, link building, and ongoing monitoring and analysis.
Saving money on Azure: Strategies for cost optimization
Azure cost optimization strategies are a set of best practices and techniques to reduce the cost of using Azure services without compromising performance and availability, by using tools for monitoring and analyzing resources usage, implementing tagging and reservation, using Azure reserved instances, choosing the appropriate pricing model, and automating cost management processes.
Scaling to success: Navigating Azure App Service options
There are different ways that an Azure App Service can be scaled to meet the changing demand of the application, by using options such as manual, automatic, and scheduled scaling, as well as scaling based on metrics and custom rules.
Cutting costs, not corners: Reducing Azure App Service expenses
Reducing Azure App Service expenses involves implementing cost-saving measures such as using Azure reserved instances, turning off or deleting unnecessary resources, using Azure Hybrid Benefits, using the right pricing model, monitoring and analyzing usage, and implementing auto-scaling options to ensure that resources are only used when they are needed.
Azure secure score boost: Tips and Tricks
Azure Secure Score allows organizations to measure the security of their Azure resources and services, by providing a score based on the level of security implemented and identifying areas for improvement with actionable recommendations, thus helping to improve the overall security posture.
Retry Pattern: The key to availability and reliability
Retry design pattern is a software design pattern that allows a process to be repeated automatically if it fails, with a delay, a number of retries or with a specific condition, in order to handle transient errors or failures, thus improving the reliability of the system.
Throttling: Keep your system in control, under any load
The Throttling design pattern is a software design pattern that limits the rate at which a process can be executed, in order to prevent overloading of resources, improve performance, and avoid service degradation or failure, by using techniques such as fixed rate, sliding window, token bucket, and leaky bucket.
Queue-Based Load Leveling: Smoothing out the bumps in high-traffic systems
Queue-Based Load Leveling pattern is a software design pattern that uses a queue as a buffer between the source of requests and the service that handles them, in order to smooth out spikes in traffic and prevent overloading of resources by allowing the service to process requests at a steady rate and temporarily store incoming requests that exceed the service’s capacity.
CQRS: Segregating read and write for a better performance
The Command Query Responsibility Segregation (CQRS) pattern is a software design pattern that separates the responsibilities of handling commands that change the state of the system from the responsibilities of handling queries that retrieves the state of the system, by using different models and data storage for read and write operations, in order to improve scalability, performance, and simplify the complexity of the system.
Azure Firewall: Always on, always protecting
Azure Firewall is a cloud-based network security service that provides centralized network traffic control and protection for Azure virtual networks, by allowing to define and enforce network security rules and policies across the entire network, and by providing features such as DDoS protection, Azure threat intelligence, and application-level rule engine.