Skip to main content
UploadLanguage (EN)Support
BusinessMobileSocial MediaMarketingTechnologyArt & PhotosCareerDesignEducationPresentations & Public SpeakingGovernment & NonprofitHealthcareInternetLawLeadership & ManagementAutomotiveEngineeringSoftwareRecruiting & HRRetailSalesServicesScienceSmall Business & EntrepreneurshipFoodEnvironmentEconomy & FinanceData & AnalyticsInvestor RelationsSportsSpiritualNews & PoliticsTravelSelf ImprovementReal EstateEntertainment & HumorHealth & MedicineDevices & HardwareLifestyle
apidays, profile picture
Uploaded byapidays
190 views

apidays LIVE New York 2021 - API Management from a network Engineer's perspective by Priya Saxena, Google

API management from a network engineer's perspective focuses on security, performance, reliability, and automation. Key capabilities include multi-layer security using tools like Cloud Armor, IAM, and VPC service controls; AI and machine learning to identify anomalies, predict traffic, and ensure compliance; global reach and high performance using Cloud CDN; and a hybrid multi-cloud architecture with private network peering between VPCs for low latency and separation of customer and Apigee networks.

Technology◦
Related topics:
Apidays New York•API Testing Overview•
Download to read offline
API Management from Network Engineer’s Perspective Priya Saxena Cloud Engineer, Google
API Management S e c u r i t y Network P e r f o r m a n c e Multi-cloud A I R e l i a b i l i t y Beyond API Management
Multi-layer Security & Privacy ● Cloud Armor web application firewall ● Cloud Identity and Access Management (IAM) for authenticating and authorizing access ● Control the network locations from which users can access data by using VPC Service Controls. ● ReCaptcha risk-based bot algorithms with continuous machine learning for fraud detection ● Cloud DLP (Data Loss Prevention) for inspecting text, images, and other data to identify and mask sensitive data ● CMEK for customer-managed encryption keys
● AI and machine learning capabilities to historical API metadata to autonomously identify anomalies, predict traffic for peak seasons, and ensure APIs adhere to compliance requirements. AI Powered Automation AI and machine learning capabilities to historical API metadata to ● Autonomously identify anomalies, ● Predict traffic for peak seasons, ● Ensure APIs adhere to compliance requirements.
Global Reach, High Performance & Reliability ● Power of Cloud CDN to maximize the availability and performance of APIs globally. ● Customers can now deploy their APIs across 24 Google Cloud regions ● Enhance caching at more than 100 locations. ● Store data in the region of choice ● Hybrid architecture for low latency and multi-cloud setup
Architecture Overview ● Apigee X runs in a separate fully managed Google VPC ● Network separation between Customer VPC and Apigee's VPC without further configuration ● Apigee is not exposed to outside world on public facing IP
Architecture Overview ● VPC network peering enables communication between VPCs ● Apigee communicates via private IPs
Architecture Overview ● Managed VMs allow requests and responses to flow between the peered networks.
Architecture Overview ● Traffic routed privately to a workload in the internal VPC
API Call Lifecycle
Thank you