Reliability and Predictability Flashcards
What is Reliability, and why is it important?
Reliability refers to the ability of a system to recover from failures and disasters and continue functioning. It’s crucial because accidents happen, and businesses need assurance that their systems can withstand disruptions.
How does the cloud enhance Reliability?
The cloud eliminates single points of failure through decentralized design, ensuring that if one component fails, others can pick up the load. Cloud deployments across multiple locations offer global scale and protection against regional failures or disasters.
What does Predictable Performance mean in the context of the cloud?
Predictable Performance ensures consistent performance regardless of demand or customer location. Cloud services offer autoscaling, high availability, and load balancing to ensure there are always enough resources when needed.
How can you plan your deployment for Predictable Performance using cloud-native best practices?
By deploying across multiple regions, eliminating single points of failure, and leveraging automatic scaling, you can optimize performance and ensure consistent operation.
What does Predictable Costs mean, and how does the cloud help achieve it?
Predictable Costs involve accurately tracking and forecasting costs to avoid surprise bills. Cloud providers offer tools for real-time cost tracking, pricing calculators, and analytics to optimize usage and costs, allowing businesses to manage current and future expenses effectively.
What summarizes the concept of Reliability in cloud computing?
Reliability involves disaster-proofing infrastructure, eliminating single points of failure, and protecting against regional failures. The cloud ensures continuous operation even in the face of disruptions.
What summarizes the concept of Predictability in cloud computing?
Predictability ensures consistent performance, no surprise bills, and effective cost management through tools provided by cloud vendors. This includes tracking current and forecasting future costs, optimizing usage, and ensuring consistent performance regardless of demand.
Define reliability in the context of cloud computing.
Reliability in cloud computing refers to the ability of a system or service to recover from failures and disasters and continue functioning with minimal downtime.
How does the cloud help achieve reliability?
Cloud computing achieves reliability through strategies such as eliminating single points of failure, deploying services in multiple locations worldwide, and automatic mitigation of failures by the cloud provider.
What is global scale computing, and how does it contribute to reliability?
Global scale computing involves deploying services to multiple locations worldwide, allowing for automatic failover in case of regional failures and ensuring continuous availability of applications.
What are the two strategies for achieving reliability in cloud computing?
The two strategies for achieving reliability are eliminating single points of failure and deploying services in multiple locations globally to ensure redundancy and fault tolerance.
What is predictable performance in cloud computing?
Predictable performance refers to maintaining consistent levels of performance within a service or application, regardless of variations in workload or user location.
How is predictable performance achieved in the cloud?
Predictable performance is achieved through strategies such as auto-scaling, high availability, load balancing, and deploying applications across multiple regions.
What is the well-architected framework in Azure, and how does it relate to predictable performance?
The well-architected framework is a set of best practices for designing cloud-native applications to leverage cloud benefits effectively. It ensures predictable performance by guiding developers to design applications with auto-scaling and redundancy in mind.
Explain predictable costs in cloud computing.
Predictable costs involve accurately tracking and forecasting current and future cloud expenses, ensuring no surprises in billing. Cloud providers offer tools for real-time usage tracking, cost estimation, and optimization to manage costs effectively.
What tools are provided by cloud vendors to manage predictable costs?
Cloud vendors provide tools such as pricing calculators, usage tracking dashboards, and cost forecasting analytics to help users manage and optimize their cloud spending.
Why is it essential to eliminate single points of failure in achieving reliability?
Eliminating single points of failure ensures that system components are redundant and resilient, minimizing the risk of downtime or service disruption in case of hardware or software failures.
How does deploying services in multiple locations contribute to reliability?
Deploying services in multiple locations ensures geographic redundancy, allowing applications to remain available even if one region experiences a failure or disruption.
What are the benefits of predictable performance for cloud applications?
Predictable performance ensures consistent user experience, regardless of workload fluctuations or user location, leading to higher user satisfaction and reliability.
How can auto-scaling contribute to predictable performance?
Auto-scaling dynamically adjusts resources based on demand, ensuring consistent performance even during peak usage periods without manual intervention.
What role does load balancing play in achieving predictable performance?
Load balancing distributes incoming traffic across multiple servers, preventing any single server from becoming overwhelmed and ensuring consistent performance for users.
Why is it important for cloud users to track and forecast costs?
Tracking and forecasting costs help users manage their cloud spending effectively, avoid unexpected bills, and optimize resource usage for cost efficiency.
