Automating BIG-IP deployments using Ansible
Problem this snippet solves: Provides the opportunity to easily test deployment models and use cases of BIG-IP in AWS EC2. While AWS is used to provide a virtual compute and networking infrastructure, best practices shown here may be applicable to other public and private ‘cloud’ environments. Shows how the lifecycle of BIG-IP services can be automated using open-source configuration management and orchestration tools, in conjunction with the APIs provided by the BIG-IP platform. How to use this snippet: See README.md and /docs in the linked Github repository. Code : https://github.com/F5Networks/aws-deployments/ Tested this on version: 11.6
Cloud bursting, the hybrid cloud, and why cloud-agnostic load balancers matter
Cloud Bursting and the Hybrid Cloud When researching cloud bursting, there are many directions Google may take you. Perhaps you come across services for airplanes that attempt to turn cloudy wedding days into memorable events. Perhaps you'd rather opt for a service that helps your IT organization avoid rainy days. Enter cloud bursting ... yes, the one involving computers and networks instead of airplanes. Cloud bursting is a term that has been around in the tech realm for quite a few years. It, in essence, is the ability to allocate resources across various public and private clouds as an organization's needs change. These needs could be economic drivers such as Cloud 2 having lower cost than Cloud 1, or perhaps capacity drivers where additional resources are needed during business hours to handle traffic. For intelligent applications, other interesting things are possible with cloud bursting where, for example, demand in a geographical region suddenly needs capacity that is not local to the primary, private cloud. Here, one can spin up resources to locally serve the demand and provide a better user experience.Nathan Pearcesummarizes some of the aspects of cloud bursting inthis minute long video, which is a great resource to remind oneself of some of the nuances of this architecture. While Cloud Bursting is a term that is generally accepted by the industry as an "on-demand capacity burst,"Lori MacVittiepoints out that this architectural solution eventually leads to aHybrid Cloudwhere multiple compute centers are employed to serve demand among both private-based resources are and public-based resources, or clouds, all the time. The primary driver for this: practically speaking,there are limitations around how fast data that is critical to one's application (think databases, for example) can be replicated across the internet to different data centers.Thus, the promises of "on-demand" cloud bursting scenarios may be short lived, eventually leaning in favor of multiple "always-on compute capacity centers"as loads increase for a given application.In any case, it is important to understand thatthat multiple locations, across multiple clouds will ultimately be serving application content in the not-too-distant future. An example hybrid cloud architecture where services are deployed across multiple clouds. The "application stack" remains the same, using LineRate in each cloud to balance the local application, while a BIG-IP Local Traffic Manager balances application requests across all of clouds. Advantages of cloud-agnostic Load Balancing As one might conclude from the Cloud Bursting and Hybrid Cloud discussion above, having multiple clouds running an application creates a need for user requests to be distributed among the resources and for automated systems to be able to control application access and flow. In order to provide the best control over how one's application behaves, it is optimal to use a load balancer to serve requests. No DNS or network routing changes need to be made and clients continue using the application as they always did as resources come online or go offline; many times, too, these load balancers offer advanced functionality alongside the load balancing service that provide additional value to the application. Having a load balancer that operates the same way no matter where it is deployed becomes important when resources are distributed among many locations. Understanding expectations around configuration, management, reporting, and behavior of a system limits issues for application deployments and discrepancies between how one platform behaves versus another. With a load balancer like F5's LineRate product line, anyone can programmatically manage the servers providing an application to users. Leveraging this programatic control, application providers have an easy way spin up and down capacity in any arbitrary cloud, retain a familiar yet powerful feature-set for their load balancer, ultimately redistribute resources for an application, and provide a seamless experience back to the user. No matter where the load balancer deployment is, LineRate can work hand-in-hand with any web service provider, whether considered a cloud or not. Your data, and perhaps more importantly cost-centers, are no longer locked down to one vendor or one location. With the right application logic paired with LineRate Precision's scripting engine, an application can dynamically react to take advantage of market pricing or general capacity needs. Consider the following scenarios where cloud-agnostic load balancer have advantages over vendor-specific ones: Economic Drivers Time-dependent instance pricing Spot instances with much lower cost becoming available at night Example: my startup's billing system can take advantage in better pricing per unit of work in the public cloud at night versus the private datacenter Multiple vendor instance pricing Cloud 2 just dropped their high-memory instance pricing lower than Cloud 1's Example: Useful for your workload during normal business hours; My application's primary workload is migrated to Cloud 2 with a simple config change Competition Having multiple cloud deployments simultaneously increases competition, and thusyour organization's negotiated pricing contracts become more attractiveover time Computational Drivers Traffic Spikes Someone in marketing just tweeted about our new product. All of a sudden, the web servers that traditionally handled all the loads thrown at them just fine are gettingslashdottedby people all around North America placing orders. Instead of having humans react to the load and spin up new instances to handle the load - or even worse: doing nothing - your LineRate system and application worked hand-in-hand to spin up a few instances in Microsoft Azure's Texas location and a few more in Amazon's Virginia region. This helps you distribute requests from geographically diverse locations: your existing datacenter in Oregon, the central US Microsoft Cloud, and the east-coast based Amazon Cloud. Orders continue to pour in without any system downtime, or worse: lost customers. Compute Orchestration A mission-critical application in your organization's private cloud unexpectedly needs extra computer power, but needs to stay internal for compliance reasons. Fortunately, your application can spin up public cloud instances and migrate traffic out of the private datacenter without affecting any users or data integrity. Your LineRate instance reaches out to Amazon to boot instances and migrate important data. More importantly, application developers and system administrators don't even realize the application has migrated since everything behaves exactly the same in the cloud location. Once the cloud systems boot, alerts are made to F5's LTM and LineRate instances that migrate traffic to the new servers, allowing the mission-critical app to compute away. You just saved the day! The benefit to having a cloud-agnostic load balancing solution for connecting users with an organization's applications not only provides a unified user experience, but provides powerful, unified way of controlling the application for its administrators as well. If all of a sudden an application needs to be moved from, say, aprivate datacenter with a 100 Mbps connection to a public cloud with a GigE connection, this can easily be done without having to relearn a new load balancing solution. F5's LineRate product is available for bare-metal deployments on x86 hardware, virtual machine deployments, and has recently deployed anAmazon Machine Image (AMI). All of these deployment types leverage the same familiar, powerful tools that LineRate offers:lightweight and scalable load balancing, modern management through its intuitive GUI or the industry-standard CLI, and automated control via itscomprehensive REST API.LineRate Point Load Balancerprovides hardened, enterprise-grade load balancing and availability services whereasLineRate Precision Load Balanceradds powerful Node.js programmability, enabling developers and DevOps teams to leveragethousands of Node.js modulesto easily create custom controlsfor application network traffic. Learn about some of LineRate'sadvanced scripting and functionalityhere, ortry it out for freeto see if LineRate is the right cloud-agnostic load balancing solution for your organization.
