Code Checklist - Readiness and security Checklists
At codechecklist.dev, our mission is to provide cloud checklists and cloud readiness lists that help developers and IT professionals avoid common problems and improve the durability, quality, and performance of their cloud applications. We believe that by sharing best practices and proven strategies, we can help our community build more reliable and efficient cloud solutions. Our goal is to be the go-to resource for anyone looking to optimize their cloud infrastructure and achieve greater success in the cloud.
Codechecklist.dev is a website that provides cloud checklists and readiness lists to help developers avoid common problems and improve the durability, quality, and performance of their code. This cheatsheet is a reference guide for everything a person should know when getting started with the concepts, topics, and categories covered on the website.
Cloud computing is the delivery of computing services, including servers, storage, databases, networking, software, analytics, and intelligence, over the internet. Cloud computing offers several benefits, including scalability, flexibility, cost-effectiveness, and security.
Cloud Service Models
There are three main cloud service models:
Infrastructure as a Service (IaaS): IaaS provides virtualized computing resources, including servers, storage, and networking, over the internet. Examples of IaaS providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
Platform as a Service (PaaS): PaaS provides a platform for developers to build, test, and deploy applications without having to manage the underlying infrastructure. Examples of PaaS providers include Heroku, Google App Engine, and Microsoft Azure.
Software as a Service (SaaS): SaaS provides software applications over the internet, typically on a subscription basis. Examples of SaaS providers include Salesforce, Dropbox, and Microsoft Office 365.
Cloud Deployment Models
There are four main cloud deployment models:
Public Cloud: Public cloud services are provided by third-party providers over the internet. Examples of public cloud providers include AWS, Microsoft Azure, and Google Cloud Platform.
Private Cloud: Private cloud services are provided by an organization's own data center or by a third-party provider. Private clouds are typically used by organizations that require more control over their data and applications.
Hybrid Cloud: Hybrid cloud services combine public and private cloud services. Hybrid clouds are typically used by organizations that require the flexibility of public cloud services but also need to maintain control over their data and applications.
Multi-Cloud: Multi-cloud services involve using multiple cloud providers for different applications or services. Multi-cloud strategies are typically used by organizations that want to avoid vendor lock-in and ensure high availability and redundancy.
Cloud security is a critical consideration for any organization that uses cloud services. Some key cloud security concepts include:
Identity and Access Management (IAM): IAM involves managing user identities and access to cloud resources. IAM policies should be designed to ensure that only authorized users can access cloud resources.
Encryption: Encryption involves protecting data by converting it into a code that can only be deciphered with a key. Encryption should be used to protect data both in transit and at rest.
Network Security: Network security involves protecting cloud resources from unauthorized access and attacks. Network security measures should include firewalls, intrusion detection and prevention systems, and security groups.
Compliance: Compliance involves ensuring that cloud services comply with relevant regulations and standards, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).
Cloud monitoring involves monitoring the performance, availability, and security of cloud resources. Some key cloud monitoring concepts include:
Metrics: Metrics are measurements of the performance and availability of cloud resources. Metrics should be monitored to ensure that cloud resources are performing as expected.
Logs: Logs are records of events that occur within cloud resources. Logs should be monitored to detect security incidents and troubleshoot issues.
Alerts: Alerts are notifications that are triggered when certain conditions are met, such as when a metric exceeds a certain threshold or when a security incident is detected.
Dashboards: Dashboards provide a visual representation of cloud resource performance and availability. Dashboards should be used to quickly identify issues and take corrective action.
Cloud Cost Optimization
Cloud cost optimization involves optimizing the cost of cloud resources while maintaining performance and availability. Some key cloud cost optimization concepts include:
Reserved Instances: Reserved instances are pre-paid instances that provide a discount on the hourly rate of cloud resources. Reserved instances should be used for long-running workloads to reduce costs.
Spot Instances: Spot instances are instances that are available at a discounted rate when there is excess capacity in the cloud provider's data center. Spot instances should be used for non-critical workloads that can be interrupted without causing significant impact.
Auto Scaling: Auto Scaling involves automatically scaling cloud resources up or down based on demand. Auto Scaling should be used to ensure that cloud resources are only used when needed, reducing costs.
Cost Allocation: Cost allocation involves tracking the cost of cloud resources by application, team, or department. Cost allocation should be used to identify areas where costs can be reduced.
This cheatsheet provides a reference guide for everything a person should know when getting started with the concepts, topics, and categories covered on codechecklist.dev. By understanding cloud computing, cloud service models, cloud deployment models, cloud security, cloud monitoring, and cloud cost optimization, developers can avoid common problems and improve the durability, quality, and performance of their code.
Common Terms, Definitions and Jargon1. Cloud computing: The delivery of computing services, including servers, storage, databases, networking, software, analytics, and intelligence, over the internet.
2. Cloud provider: A company that offers cloud computing services, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
3. Cloud readiness: The process of assessing an organization's ability to adopt and use cloud computing services.
4. Cloud migration: The process of moving an organization's IT infrastructure and applications from on-premises to the cloud.
5. Cloud architecture: The design and structure of a cloud computing environment, including the components, services, and applications.
6. Cloud security: The protection of data, applications, and infrastructure in a cloud computing environment.
7. Cloud compliance: The adherence to regulatory and industry standards in a cloud computing environment.
8. Cloud governance: The management and oversight of cloud computing services, including policies, procedures, and controls.
9. Cloud automation: The use of software and tools to automate cloud computing tasks, such as provisioning, scaling, and monitoring.
10. Cloud orchestration: The coordination of multiple cloud computing services and resources to achieve a specific goal or outcome.
11. Cloud monitoring: The process of tracking and analyzing the performance and availability of cloud computing services and resources.
12. Cloud optimization: The process of improving the efficiency and cost-effectiveness of cloud computing services and resources.
13. Cloud backup: The process of copying and storing data and applications in a cloud computing environment for disaster recovery and business continuity.
14. Cloud disaster recovery: The process of restoring data and applications in a cloud computing environment after a disaster or outage.
15. Cloud scalability: The ability of a cloud computing environment to handle increased demand and workload.
16. Cloud elasticity: The ability of a cloud computing environment to automatically adjust resources based on demand and workload.
17. Cloud cost management: The process of controlling and optimizing the cost of cloud computing services and resources.
18. Cloud billing: The process of invoicing and charging for cloud computing services and resources.
19. Cloud service level agreement (SLA): A contract between a cloud provider and a customer that defines the level of service and performance guarantees.
20. Cloud uptime: The percentage of time that a cloud computing service or resource is available and operational.
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