IP Addresses in Google Cloud Platform Dataset (Publication Date: 2024/02)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • Does your application have any IP addresses that are hard coded in the source code?
  • What ip or network addresses should be allowed to access your application?
  • How do you set your firewall policies based on identity instead of IP addresses?


  • Key Features:


    • Comprehensive set of 1575 prioritized IP Addresses requirements.
    • Extensive coverage of 115 IP Addresses topic scopes.
    • In-depth analysis of 115 IP Addresses step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 115 IP Addresses case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Data Processing, Vendor Flexibility, API Endpoints, Cloud Performance Monitoring, Container Registry, Serverless Computing, DevOps, Cloud Identity, Instance Groups, Cloud Mobile App, Service Directory, Machine Learning, Autoscaling Policies, Cloud Computing, Data Loss Prevention, Cloud SDK, Persistent Disk, API Gateway, Cloud Monitoring, Cloud Router, Virtual Machine Instances, Cloud APIs, Data Pipelines, Infrastructure As Service, Cloud Security Scanner, Cloud Logging, Cloud Storage, Natural Language Processing, Fraud Detection, Container Security, Cloud Dataflow, Cloud Speech, App Engine, Change Authorization, Google Cloud Build, Cloud DNS, Deep Learning, Cloud CDN, Dedicated Interconnect, Network Service Tiers, Cloud Spanner, Key Management Service, Speech Recognition, Partner Interconnect, Error Reporting, Vision AI, Data Security, In App Messaging, Factor Investing, Live Migration, Cloud AI Platform, Computer Vision, Cloud Security, Cloud Run, Job Search Websites, Continuous Delivery, Downtime Cost, Digital Workplace Strategy, Protection Policy, Cloud Load Balancing, Loss sharing, Platform As Service, App Store Policies, Cloud Translation, Auto Scaling, Cloud Functions, IT Systems, Kubernetes Engine, Translation Services, Data Warehousing, Cloud Vision API, Data Persistence, Virtual Machines, Security Command Center, Google Cloud, Traffic Director, Market Psychology, Cloud SQL, Cloud Natural Language, Performance Test Data, Cloud Endpoints, Product Positioning, Cloud Firestore, Virtual Private Network, Ethereum Platform, Google Cloud Platform, Server Management, Vulnerability Scan, Compute Engine, Cloud Data Loss Prevention, Custom Machine Types, Virtual Private Cloud, Load Balancing, Artificial Intelligence, Firewall Rules, Translation API, Cloud Deployment Manager, Cloud Key Management Service, IP Addresses, Digital Experience Platforms, Cloud VPN, Data Confidentiality Integrity, Cloud Marketplace, Management Systems, Continuous Improvement, Identity And Access Management, Cloud Trace, IT Staffing, Cloud Foundry, Real-Time Stream Processing, Software As Service, Application Development, Network Load Balancing, Data Storage, Pricing Calculator




    IP Addresses Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    IP Addresses


    IP addresses are numerical labels assigned to devices connected to a network. Hard-coded IP addresses are manually entered in the program′s source code, and may lead to connection issues.


    1. Utilize Google App Engine flexible environment to dynamically assign IP addresses based on app instances.
    2. Use containers in Google Kubernetes to manage and update IP addresses for applications.
    3. Implement Cloud Load Balancing to distribute traffic across multiple IP addresses.
    4. Use Google Cloud CDN to improve performance and reduce reliance on specific IP addresses.
    5. Utilize VPC firewall rules to control access to specific IP addresses or ranges.
    6. Use Google Cloud Armor to add additional security measures for specific IP addresses.
    7. Deploy instances in different regions to have access to different IP addresses for disaster recovery purposes.
    8. Utilize Google Cloud NAT to assign static IP addresses to internal resources.
    9. Monitor IP addresses with Stackdriver Logging and Monitoring for troubleshooting and management.
    10. Utilize Google Cloud DNS to map IP addresses to custom domain names for easier access.

    CONTROL QUESTION: Does the application have any IP addresses that are hard coded in the source code?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    Yes, by 2030 our goal is to have all IP addresses hard coded in the source code completely eliminated. We will achieve this by implementing dynamic and scalable solutions that automatically adapt to changing IP addresses, making manual hard coding unnecessary. This will create a more flexible and efficient system, reducing the risk of errors and increasing overall network stability. Our ultimate aim is to pave the way for a future where IP addresses are no longer limited resources, but rather abundant and easily adaptable tools for technological advancement.

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    IP Addresses Case Study/Use Case example - How to use:



    Synopsis:
    The client for this case study is a medium-sized software development company that specializes in creating custom applications for businesses. The company has recently undergone a major expansion, with an increase in the number of clients and projects. As a result, there has been a growing concern about the security of their applications and potential vulnerabilities. The company has reached out for consulting services to assess if any of their applications have hard coded IP addresses in the source code, which could pose a security risk.

    Consulting Methodology:
    The consulting team approached the project by first conducting a thorough review of the existing source codes for all the applications developed by the company. This review was performed using automated tools as well as manual inspection to ensure accuracy. The team then conducted interviews with the developers responsible for each application to gain an understanding of the coding practices followed and any specific instances where IP addresses were used.

    Deliverables:
    The deliverables for this project include a detailed report on the findings of the review, including a list of all applications that have hard coded IP addresses in the source code. Additionally, the consulting team also provided recommendations for removing hard coded IP addresses and implementing more secure alternatives. They also provided guidance on best practices for future development to avoid hard coding IP addresses.

    Implementation Challenges:
    The primary challenge faced during this project was identifying hard coded IP addresses in the source code. With the complex and dynamic nature of modern applications, it can be challenging to identify these addresses manually. This is where the consulting team’s expertise and the use of automated tools were essential in ensuring accurate identification.

    Another challenge was communicating the importance of removing hard coded IP addresses to the developers. They had to be convinced of the potential security risks posed by such practices and the need to follow secure coding standards.

    KPIs:
    The primary KPI for this project was the number of applications found to have hard coded IP addresses. This was compared to the total number of applications reviewed to determine the percentage of applications with this vulnerability. Other KPIs included the time taken to review the source codes and the success of implementing the recommended changes.

    Management Considerations:
    Apart from identifying and mitigating security risks, this project also had a significant impact on the company’s overall development process. The client realized the importance of following secure coding practices and invested in training their developers on best practices. This not only improved the security of their applications but also enhanced their overall reputation as a reliable software development company.

    Citations:
    According to a consulting whitepaper by Deloitte on secure coding practices, hard coding IP addresses in an application’s source code increases the risk of a cyberattack as it exposes the infrastructure to potential vulnerabilities.
    (https://www2.deloitte.com/us/en/insights/industry/public-sector/securing-government-software.html)

    Similarly, an article published in the academic business journal, Journal of Software Evolution and Process, highlights the importance of conducting code reviews to identify and remove hard coded data, including IP addresses, to improve the quality and security of software.
    (https://onlinelibrary.wiley.com/doi/full/10.1002/smr.2186)

    Furthermore, a market research report by Cybersecurity Ventures states that cybercrime damages are predicted to reach $6 trillion annually by 2021, making it crucial for businesses to have secure coding practices in place to prevent potential attacks.
    (https://cybersecurityventures.com/hackerpocalypse-cybercrime-report-2016/)

    Conclusion:
    In conclusion, the consulting team’s methodology and deliverables were successful in identifying and removing hard coded IP addresses in the client’s applications. This not only reduced the potential security threats but also resulted in a more secure development process for the company. By following industry best practices, the client was able to mitigate future risks and improve their overall reputation as a secure and trusted software development company.

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