Systems | Development | Analytics | API | Testing

Choreo already provides application developers with powerful CI/CD pipelines, enabling them to automate, customize, and streamline build and deployment processes. However, until now, external resource integration was limited strictly to APIs—lacking a native mechanism to create or register other external dependencies like databases, message queues, or storage services directly within the platform.

Choosing the best project methodology for a software project can help or hinder it greatly. Teams frequently evaluate Agile vs Waterfall. When teams choose an approach, they often have to consider the schedule and the manner in which they want to deliver the software. This choice becomes especially important when engineering teams and QA teams work together. Rapid changes during development along with rapid product releases and QA testing are common.

Securing your web applications with HTTPS is essential for production deployments. SSL/TLS certificates encrypt data in transit, protect user privacy, and improve search engine rankings. For Nginx web servers, Certbot from Let's Encrypt provides a free, automated solution for obtaining and managing SSL certificates. This guide walks you through implementing SSL certificates on Nginx using Certbot, covering installation, certificate generation, and automated renewal.

Applications and systems using AI have exploded in popularity, with every company looking to integrate AI anywhere they can. This move toward AI-assisted and AI-powered products appears to be the future. However, early adoption is great, but gaps form quickly at scale. For example, in 2023 OWASP began to publish the OWASP Top 10 for LLM Applications (updated again in 2025), which outlined ten common security flaws found in LLM-based applications.

Have you observed how many software projects often begin with enthusiasm but however time become stuck in endless planning, changing requirements, and delayed delivery?

You can make your API observability posture more powerful and beneficial by treating Moesif as an engineering implement. The platform automatically captures API traffic out-of-the-box and provides actionable analytics and visualizations. However, the degrees to which they precisely and empirically illustrate the data, depend on where and how you’ve integrated Moesif.

API and AI services now sit at the heart of modern products. However, the more we use them, the harder it seems to become to account for the budget. Launching an AI product often leads to massive end-of-period bills. This requires attributing costs to the key internal power users and consumption drivers. The challenge is identifying the departments, products, or projects responsible for the consumption, and the extent to which they contribute.

Developers and Quality Assurance (QA) teams utilize many different API testing and validation tools to help them simplify the processes of testing, debugging, and validating APIs in the increasingly API-centric world of software development. Modern teams often combine End-to-End Testing with API-level testing to ensure full workflow reliability.