Operations | Monitoring | ITSM | DevOps | Cloud

Developers are builders by nature (and profession), so many take pride in building their own solutions to problems from first principles, often using tools developed in open-source projects. So as Internal Developer Portals (IDPs) increased in popularity, it should come as no surprise that interest in open source IDPs increased in kind. While we may not yet have a fully opensource IDP platform, in this blog we’ll cover the open source components and platforms used to build IDPs from scratch.

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.

Extracting relevant insights from your performance monitoring tool can be frustrating. You often get back more data than you need, making it difficult to connect that data back to the code you wrote. Sentry’s Performance monitoring product lets you cut through the noise by detecting real problems, then quickly takes you to the exact line of code responsible. The outcome: Less noise, more actionable results.

Even before the push to the cloud, your company was a Microsoft shop. From workstations to servers, you’ve invested heavily in the Microsoft ecosystem because it gave your business all the technologies necessary for success. As part of your organization’s digital transformation strategy, Azure offered the easiest onboarding experience.

Finding, prioritizing, and mitigating security vulnerabilities is an essential part of running software. We’ve all recognized that vulnerabilities exist and that new ones are introduced on a regular basis, so we make sure that we check for and remediate them on a regular basis. Even if the code passed all the security checks before being deployed, you still perform regular security tests to make sure everything’s secure.

Generative AI is forecasted to have a massive impact on the economy. These headlines are driving software teams to rapidly consider how they can incorporate generative AI into their software, or risk falling behind in a sea-change of disruption. But in the froth of a disruptive technology, there’s also high risk of wasted investment and lost customer trust.

The General Data Protection Regulation (GDPR), a legal mandate across the EU, requires enhanced protection for EU personal data transferred to countries with inadequate levels of data protection safeguards—including the US. The EU-US Privacy Shield, which was in place until 2020, facilitated these protections but was invalidated by the Schrems II ruling as a result of US surveillance concerns.