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.
Category: Cloud
Scaling smarter, not harder with the cloud
Scalability is the ability of systems and services to handle an increase in workload or traffic, by dynamically allocating and provisioning resources such as computing power, storage, and memory, in order to meet the changing demands of the applications and services running on them, thus enabling them to handle a large number of users and transactions.
Multiply your security, minimize your risk with Multi-Factor Authentication (MFA)
Multi-Factor Authentication (MFA) is a security measure that adds an extra layer of protection by requiring multiple forms of identification, such as a password and a security token, to access a system or service, providing increased security and protection against unauthorized access.
Cloud Security: Zero trust for zero compromise
Zero Trust security architecture is a security model that assumes that all network traffic is untrusted and verifies each request before granting access, providing a higher level of security by reducing the attack surface and preventing breaches.
8 fundamentals to cloud security
There are several techniques that can be used to improve cloud security:
Cloud cost optimization best practices
Cloud cost optimization best practices involve leveraging cost-saving features and services, using resource utilization monitoring, right-sizing resources, using automation, scheduling resources, using reserved instances, and continuously reviewing and optimizing costs to minimize expenses and maximize cost efficiency in a cloud environment.
The 6 Pros and 6 Cons of Serverless Functions
Serverless functions provide cost-efficiency, automatic scaling, and reduced operational overhead, but can also result in increased latency, cold start issues, and unpredictable costs due to their reliance on third-party infrastructure and abstracted resource allocation.