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Ken W. Alger

Senior Manager, Developer Advocate at Heroku
Heroku Staff

This blog series has taken you on a journey through the world of AppLink, from its foundational concepts and core components in Heroku AppLink: Extend Salesforce with Any Programming Language, to a deep dive into its key integration patterns in AppLink Fundamentals I: AppLink Integration Patterns – Connecting Salesforce to Heroku Applications, and then we explored advanced integrations with Data Cloud, automation, and AI in AppLink Fundamentals II: Advanced AppLink Integrations – Automation

In our previous posts, we introduced Heroku AppLink and explored its foundational integration patterns for connecting Heroku applications with Salesforce. Now, we’ll delve into how AppLink truly expands Salesforce capabilities, focusing on advanced integrations with Data Cloud, Flow, Apex, and Agentforce. This blog will highlight how AppLink empowers you to infuse your Salesforce orgs with powerful external logic, real-time data processing, and intelligent automation.

In our previous post, we introduced AppLink as a powerful new way to extend Salesforce with any programming language at any scale, detailing its core components and overarching benefits. Now, we’ll dive deeper into the practical application of AppLink by exploring its primary integration patterns. Understanding these patterns is key to leveraging AppLink effectively, as they dictate how your Heroku applications interact with and enhance your Salesforce orgs.

Modern cloud-native architectures are composed of multiple microservices running across dynamic environments. Effectively diagnosing performance issues, bottlenecks, or failures requires comprehensive observability. For this, many organizations look to OpenTelemetry, which provides a standardized approach to capturing and analyzing telemetry data.

Fir is Heroku’s next generation cloud platform, designed to offer more modern cloud-native capabilities with flexibility and scalability. It’s built on proven, open-source technologies. Traditional Heroku relied on proprietary technologies, which was appropriate at …

Ah, another day, another deep dive into the ever-evolving world of Python development! Today, let’s talk about something near and dear to every Pythonista’s heart – managing those crucial external packages. For years, pip has been our trusty companion, the workhorse that gets the job done. But the landscape is shifting, and a new contender has entered the arena, promising speed, efficiency, and a fresh approach: uv.

As a Python developer constantly striving for …

The speed and efficiency of the Go programming language make it popular for backend development. Combine Go with the Gin framework—which offers a fast and minimalistic approach to building web applications—and developers can easily create high-performance APIs and web services. Whether you’re working on a personal project or building a production-ready application, Go and Gin make for an attractive stack perfectly suited for lightweight, scalable web development.

Creating a Go/Gin application might seem straightforward: …

Your organization may have many reasons to move a cloud service from one provider to another. Maybe you’ve found a better performance-versus-cost balance elsewhere. Maybe you’re trying to avoid vendor lock-in. Whatever your reasons, the convenience and general interoperability of cloud services today put you in the driver's seat. You get to piece together the tech stack and the cloud provider(s) that best align with your business.

This includes where you turn for your PostgreSQL database.

If you’re considering migrating your Postgres database to a different cloud provider, such as Heroku, the process might seem daunting. You’re concerned about the risk of data loss or the impact of extended downtime. Are the benefits worth the effort and the risk?

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