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The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.

NodeJS Instrumentation with the Lumigo OTLP endpoint

As software systems become more complex, navigating their inner workings has become increasingly difficult due to the evolution of more advanced architectures. While distributed systems, such as microservices and cloud-native architectures, offer benefits in scalability and agility, they also make it more challenging to pinpoint and resolve system issues. Traditional methods for tracking errors are often insufficient in these multifaceted environments.

Instrumenting Lumigo for Python using OpenTelemetry

Standardized frameworks play a fundamental role in leveling the playing field and setting the standard within the tech industry, ensuring that everyone has access to the same tools and practices. These frameworks promote best practices and foster innovation and collaboration across different sectors. One example of such a framework is OpenTelemetry, a project that has rapidly gained traction and continued to flourish as an open-source initiative under the Cloud Native Computing Foundation (CNCF).

Dissecting MySQL Debugging with Node and Python - Part 2

In Part 1 of this blog, we prepared our demo container environments using Docker for the Node Express and Python Flask applications. Now, we move on to the more complex phase of our exploration, where we will dissect and explain the inner workings of our applications. This sequel is designed for those who want to improve their web development skills, offering a comprehensive guide to debugging and tracing.

Dissecting MySQL Debugging with Node and Python - Part1

This is the first post in a series of two looking at debugging and tracing MySQL, which has been a foundation stone of the tech industry, utilized by applications big and small, from personal blogs to complex e-commerce platforms. MySQL has demonstrated adaptability and robustness countless times, making it a critical part of the Internet’s infrastructure. This adaptability has helped MySQL remain relevant amidst the constantly evolving technological landscapes.

Comparing NestJS and ExpressJS

Having delivered numerous applications, prototypes, and demos over the years, I’ve developed a deep appreciation for how robust development frameworks can significantly contribute to Speed to Delivery Time (SDT). This metric is vital in the fast-paced software industry, where the ability to bring scalable and maintainable applications to market quickly can set a project apart.

Balancing Speed to Delivery time in App Development

As devs, we know the age-old question of, “How long do you think it will take?” oh too well. Regardless of experience and position within the development cycle, this inquiry always comes loaded with expectations and complexities, a concept I refer to as Speed to Delivery Time (SDT). To be clear, SDT isn’t just about marking days on a calendar.

From Chaos to Clarity Troubleshooting Postgres

I have always had a special fondness for Postgres, particularly captivated by its JSONB capabilities, which is at the core of what I love as it stands as a testament to its adaptability. This functionality exemplifies Postgres’s ability to adapt to modern apps’ rapidly changing needs to support structured and unstructured data to coexist seamlessly within the same database environment. The capabilities of PostgreSQL are not limited to its ability to manage relational and non-relational data.

Getting Started With Azure Serverless

Serverless computing represents a paradigm shift in how we build, deploy and scale cloud applications. By decoupling infrastructure and server management from code development, developers are free to put a single focus on fine-tuning code in app development. The era of serverless computing puts innovation at center stage and removes the traditional constraints of server management.

Full Stack Clarity Troubleshooting Android OpenTelemetry

Developing a native Android app is a challenging task that requires a deep understanding of the Android SDK, as well as programming languages such as Java or Kotlin. The process requires navigating various tools, frameworks, and APIs, each with its own rules. On top of that, you need to ensure compatibility and optimal performance across the diverse Android ecosystem, with its multitude of devices, screen sizes, and OS versions.