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7 Most Common Pitfalls When Choosing the Right Internal Developer Platform

Selecting the right Internal Developer Platform (IDP) is a critical decision that shapes the effectiveness of your software development team. An IDP empowers developers with the tools and environments necessary for efficient coding, testing, and deployment, resulting in a streamlined development workflow. However, a poor choice can lead to substantial setbacks, reducing productivity and overall business efficiency. In this article, we will discuss the most common mistakes to avoid when selecting an IDP.

What Do Developers Need to Know About Kubernetes, Anyway?

Stop me if you’ve heard this one before: you just pushed and deployed your latest change to production, and it’s rolling out to your Kubernetes cluster. You sip your coffee as you wrap up some documentation when a ping in the ops channel catches your eye—a sales engineer is complaining that the demo environment is slow. Probably nothing to worry about, not like your changes had anything to do with that… but, minutes later, more alerts start to fire off.

Software Development Life Cycle: Day 1 Best Practices

Welcome to Day 1 of the software development life cycle — what now? We’ve already covered Day 0 server provisioning, and you should be ready to start writing code that will support your DevOps initiatives and make your life easier …or are you? Put some of our wisdom and experience at work for Day 1 of the software life cycle, and make sure you’re fully prepared to handle common pitfalls and problems that can become ongoing issues for Day 2.

What is an internal developer portal?

An Internal Developer Portal (IDP) is the engineering system of record for tracking, improving, and building high-quality software. From services and APIs to Kubernetes clusters and data pipelines—IDPs abstract away the complexities of ensuring software security, maturity, production readiness, and more—all using data from your existing tools.

Risks and rewards of generative AI for software development

Generative artificial intelligence (AI) is a form of AI that can create new, original content such as text, code, images, video, and even music. Generative AI-powered tools like GitHub’s Copilot and OpenAI’s ChatGPT have the potential to revolutionize the way you develop software, enabling you to be more efficient and creative. Used in the right way, generative AI can streamline workflows, accelerate development cycles, and unlock the potential for innovation.

What is an Internal Developer Platform

Software production has become exponentially more complex over the last few years as containerization and microservice architectures have exploded. These design decisions are rooted in aspirations of scalability and speed, but left unchecked, have devolved into data model mayhem, development silos, and environment inconsistencies.

Webinar: Shining a light on developer productivity

In the last 5 years, we’ve watched the world's fastest growing engineering teams ditch development monoliths in favor of service-oriented architectures that speed time to market. And as microservices multiplied—making it harder to track ownership and quality—Internal Developer Portals (IDPs) emerged to help. But while the prospect of a single portal for developer productivity sounds enticing, veteran leaders know the perception of “one more tool” can make org-wide adoption challenging.

How environmental parity accelerates automotive software development

A lot of people, like myself, believe automotive is the most innovative sector today, especially when it comes to software. We are living a critical moment in automotive, where evolution is being pushed onto the market. This rapid software shift is posing challenges that are complicating developers’ progress. Most of these challenges are hardware-related. Gaining access to target development hardware has become an impossible task, the recent global microchip shortage did not help.

Sept 13, 2023: SF Python Meetup - API Documentation: How Sentry Designed Custom Tooling

On September 13, 2023, Sentry hosted SF Python for a developer meetup in San Francisco. In this talk, Josh Ferge, Senior Software Engineer at Sentry, shared his experiences and insights on Sentry's journey of API documentation for their Django application. He talked about the various things they’ve tried, including: Schema / Example generation using dynamic tests; Writing OpenAPI JSON manually; Django Rest Framework & autodoc tooling around it; Problems with DRF serializers & performance, leading to Sentry custom implementation of schema generation using Python typing.

Qovery's Vision: Shaping the Future of Internal Developer Platforms

In a landscape inundated with tools and technologies, the real challenge for companies is not just about having an array of options but about ensuring these options harmoniously fit into their unique technical environments. Qovery understands this, and it’s evident in the modularity of its ecosystem. But the journey doesn’t end here. Looking ahead, Qovery envisions a paradigm shift in the way Internal Developer Platforms (IDP) are perceived and utilized.