Service Extensions for Google Cloud App LB’s

If you run a website or app on Google Cloud and you’re using their Application Load Balancer to distribute traffic but wish you had a way to: Add or modify HTTP headers: Insert new headers for specific customers. Or re-write client headers on the way to the back end. Implement custom security rules: Add your own logic to block malicious requests or filter sensitive data. Perform custom logging: Log user-defined headers or other custom data into Cloud Logging or other tools. Rewrite HTML on the fly: Dynamically adjust your website content based on user location, device, etc Script Injection: Rewrite HTML for integration with Analytics or reCAPTCHA Traditionally, you’d have to achieve this by setting up separate proxy servers or modifying your app. With Service Extensions, you can do all this directly within your Application Load Balancer. How Service Extensions work: They are  mini apps: Service Extensions are written in WebAssembly (Wasm), these are super fast, and secure. They run at the edge: This means they on the load balancer, reducing any potential impact to latency. They’re fully managed: Google Cloud takes care of all the hard parts.  Why would anyone use Service Extensions? Flexibility: Tailor your load balancer to your specific needs without complex workarounds. Performance: Improve response times by processing traffic at the edge. Security: Enhance your security posture with custom rules and logic. Efficiency: Reduce operational overhead by offloading tasks to the load balancer. How to get started: Check the docs from Google, start with Service Extensions Overview then Plugins Overview and How to create a plugin finally some Code Samples Also definitely worth checking out WASM if you have not already at https://webassembly.org/ Service Extensions sit in the Cloud Load Balancing processing path.  Image to the left shows this.

Vendor Lock-in: We think its a myth.

The Myth Of Vendor Lock-in The cloud has revolutionized how businesses operate, but we often get stuck in weeks-long project delays trying to avoid vendor lock-in. This article highlights whether this is something you should be concerned about, or if your efforts are best focused elsewhere. I guess it is best to start on what vendor lock in actually is. Understanding Vendor Lock-in Vendor lock-in occurs when a customer becomes reliant on a specific vendor’s products or services, making it difficult or expensive to switch vendors.  The business risk here is usually either: That one vendor could raise prices, and you would be stuck paying the higher price (VMware/Broadcom comes to mind) Vendor has multiple outages, or poor support (VMware/Broadcom comes to mind) The vendor goes bankrupt, or is acquired by a competitor, and your business along with it The Cloud Hyperscaler Landscape Cloud hyperscalers like AWS, Azure, and Google Cloud have significantly mitigated the risks of vendor lock-in. Here’s why: Open Standards, Open Source, and Interoperability: Hyperscalers increasingly embrace open standards and APIs, Containers, and Kubernetes is one example with every cloud having multiple ways to run standard docker containers, and these can be moved between clouds, with no changes. Each cloud does have proprietary services, especially when we look at databases, but the effort to migrate and modify these is typically way lower than it has been in the past.  Using one of these databases to avoid vendor lock-in with AWS/GCP/Azure can also just mean you are locked into MongoDB, or an open source DB that is hard to move from. Bankruptcy: If any of these vendors does go bankrupt it will be a slow process, Google, Microsoft or Amazon are some of the wealthiest companies in the world, so I think we can discount this. Data Portability: Hyperscalers offer tools and services to simplify data migration and portability. While moving large datasets can still be complex, the process is becoming more manageable, hyperscalers will often fully or partially fund the migration from a competitor. In addition highly performant network connections between clouds are available or even physical devices to move the largest of datasets quickly. Market Competition: The intense competition among cloud hyperscalers drives down prices, there has only been a few times where some services increased in cost. This competition is not likely to reduce in the near term.  Mitigating Vendor Lock-in Concerns While the risks of vendor lock-in are lower with cloud hyperscalers, if this is a concern there are a few steps to mitigate the effort if you ever do need to migrate: Design for Portability: Architect applications and data structures with portability in mind from the outset Avoid Proprietary Services: Minimize reliance on vendor-specific databases that lack equivalents on other platforms Conclusion The cloud hyperscaler era has resulted in strong competition which has significantly diminished the concerns of vendor lock-in. Open standards, data portability, and market competition have allowed businesses to focus less on lock-in and more on transforming their business. While some level of lock-in will always exist, it is about choosing where you are locked in, if you go all open source, and build your own servers you will be locked in to using this stack. We believe the focus should shift from fearing vendor lock-in to strategically leveraging the cloud’s capabilities to drive innovation and business growth.

The Aviato Cloud Consulting Blog

Power Your Transformation: The Aviato Blog Welcome to the Aviato Cloud Consulting Blog! In the dynamic world of cloud technology, knowledge is power.  We’re here to provide you with insights, strategies, and expert guidance you need to navigate your cloud journey, maximize ROI, and achieve transformative results for your business. Our blog offers in-depth analysis, industry-specific strategies, optimization tactics, and actionable advice.  Whether you’re embarking on cloud migration, optimizing your current setup, or facing complex cloud challenges, consider this your go-to resource for success.

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