Tag: cloud networking

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Google Cloud Shared VPC

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A Shared Virtual Private Cloud (VPC) is a feature within Google Cloud that enables organizations to connect resources from multiple projects to a common network infrastructure. This shared network, hosted within a designated “host project,” allows secure and efficient communication among resources using internal IP addresses. Service projects, attached to the host project’s network, can utilize specific subnets for their instances. This setup offers a balance between centralized control over network resources, such as subnets and firewalls, and decentralized administration of instances within individual service projects. By segregating administrative responsibilities, organizations can enforce consistent access control policies, enhance security, and … Continue reading Google Cloud Shared VPC

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Google Cloud Migration Scenarios

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Lab and Configuration Staging The lab diagram for this exercise is show below: Staging Aviatrix Flows of Interest Constraints Migration Approaches The Slicer Constraints Testing Flow 1 and Flow 2 Migration using The Slicer (Switch Traffic) Slicing it: CSR1000v routes: If the Cloud Router custom advertisement is doing (route) summarization, the slice on the avx spoke gateway advertised routes is not required. In this case, we should customize the advertisement to only allow the subnetwork where the avx gateway was deployed. Flow3 and Flow 4 Migration using The Slicer (Switch Traffic) This step requires that all the north-south flows were … Continue reading Google Cloud Migration Scenarios

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Apigee not bee :)

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Apigee is a Google SaaS platform for developing and managing APIs. Apigee provides an abstraction layer to backend service APIs and provides security, rate limiting, quotas, and analytics. Apigee consists of the following components: A more granular network friendly diagram is show below: A more in depth overview is provided here: https://cloud.google.com/apigee/docs/api-platform/architecture/overview Setting it up There are at least three different ways to provision Apigee: https://cloud.google.com/apigee/docs/api-platform/get-started/provisioning-intro#provisioning-options I’m going to use a free trial wizard to get acquainted with Apigee: The evaluation wizard guides us through the steps: Apigee runtime requires a dedicated /22 range for evaluation: Each Apigee instance requires … Continue reading Apigee not bee 🙂

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Using Azure Route Server for Dynamic Routing

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Azure Route Server is a service provided by Microsoft Azure that simplifies the process of dynamic routing for network virtual appliances (NVAs). NVAs are commonly used in virtual networks to perform tasks such as load balancing, network address translation (NAT), and virtual private network (VPN) connectivity. In a traditional network setup, dynamic routing protocols such as Border Gateway Protocol (BGP) require manual configuration and maintenance of each individual NVA. This can become time-consuming and error-prone as the network scales. With Azure Route Server, NVAs can simply connect to the route server and exchange routing information automatically. Azure Route Server supports … Continue reading Using Azure Route Server for Dynamic Routing

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Hyperautomation with GCP (draft)

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Hyperautomation Hyperautomation is a business-driven, disciplined approach that organizations use to rapidly identify, vet and automate as many business and IT processes as possible. Hyperautomation involves the orchestrated use of multiple technologies, tools or platforms, including: artificial intelligence (AI), machine learning, event-driven software architecture, robotic process automation (RPA), business process management (BPM) and intelligent business process management suites (iBPMS), integration platform as a service (iPaaS), low-code/no-code tools, packaged software, and other types of decision, process and task automation tools. Gartner Here are some use cases: Prime: AI Artificial intelligence (AI) is a key component of hyperautomation, as it enables organizations … Continue reading Hyperautomation with GCP (draft)

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Scaling Up/Scaling Down HPE Gateways

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High Performance Encryption (HPE) is an Aviatrix technology that enables 10 Gbps and higher IPsec performance between two single Aviatrix Gateway instances or between a single Aviatrix Gateway instance and on-prem Aviatrix appliance. You can change Gateway Size if needed to change gateway throughput. The gateway will restart with a different instance size. IP addresses per network interface The following tables list the maximum number of network interfaces per instance type, and the maximum number of private IPv4 addresses and IPv6 addresses per network interface: Constraints Initial Scenario Scale Up I’m going to scale to a c5n.9xlarge: Tunnels are created … Continue reading Scaling Up/Scaling Down HPE Gateways

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Scaling Out Secure Dedicated Ingress on GCP

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Proposed Architecture The architecture presented below satisfies GCP customers requirements to use third party compute instance based appliances in their flows. The design considers HTTP(S) load balancers due its advanced capabilities. Constraints GCP Load Balancers Decision Chart Update DNS How to Scale Scenario 1 How to Scale Scenario 2 How to Scale Scenario 3 How to Scale Scenario 4 The HC as before is the same as we are checking the health of the compute instances: References https://research.google/pubs/pub44824/ https://cloud.google.com/load-balancing/docs/load-balancing-overview https://cloud.google.com/load-balancing/docs/backend-service Continue reading Scaling Out Secure Dedicated Ingress on GCP

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Aviatrix: Minimum Alerts Recommended

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Mem Available (<= 20%) CPU Idle (<= 20%) HDisk Free (<= 20%) Gateway Status Connection Status BGP Peering Status PPS Limit Exceeded Rate (rate_pps_limit_exceeded) (>= 75) Bandwidth Egress Limit Exceeded Rate (rate_bandwidth_egress_limit_exceeded) (>= 40) Bandwidth Ingress Limit Exceeded Rate (rate_bandwidth_ingress_limit_exceeded) (>= 40) Errored Packets Transmitted Rate (rate_tx_errs) (>= 40) Errored Packets Received Rate (rate_rx_errs) (>= 40) Rate of Packets Dropped While Receiving (rate_rx_drop) (>= 40) Rate of Packets Dropped While Transmitting (rate_tx_drop) (>= 40) Conntrack Limit Exceeded Rate (rate_conntrack_limit_exceeded) (>= 40) Underlay Connection Status Tunnel Count References https://read.docs.aviatrix.com/HowTos/Monitoring_Your_Network.html https://docs.aviatrix.com/copilot/latest/monitoring-troubleshooting/user-alerts-network.html Continue reading Aviatrix: Minimum Alerts Recommended

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Checking Bandwidth Consumption with Athena

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VPC flow logs capture information about the IP traffic going to and from network interfaces in a VPC. Athena is an interactive query service that makes it easy to analyze data directly in S3 using standard SQL. Topology Create a (S3) Bucket Enable (VPC) Flow Logs Apache Parquet is a columnar data format that stores and queries data more efficiently and cost-effectively than a text format. Queries on data stored in Parquet format are 10 to 100 times faster and cheaper than data stored in text format. Flow logs delivered in Parquet format with Gzip compression use about 20 percent … Continue reading Checking Bandwidth Consumption with Athena

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Dedicated Ingress VPC Health Checks

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Topology (VPC003) Workload Configuration Instance Group: Health check: Network Load Balancer: (VPC001) Ingress VPC SNAT/DNAT using single NAT: Another option is to use customized NAT: Instance Group: Health Check: External Global HTTP(S) Load Balancer: Testing Packet capture from the proxy instance: Troubleshooting Health check failures: “End-to-End” Health Check In this scenario, the external load balancer health check probes the the internal load balancer: New HC on port 80 (service port): References https://cloud.google.com/load-balancing/docs/health-check-concepts Continue reading Dedicated Ingress VPC Health Checks