WordPress powers countless websites across various domains, offering incredible versatility. This Content Management System (CMS) is the undisputed leader in the CMS market, powering an impressive 43.6% of all websites globally, according to these statistics. With over 810 million websites built on the platform and hundreds more launching daily (500+), its adoption continues to surge. This widespread use gives WordPress a massive 62% CMS market share, significantly outpacing its rivals.

However, even the most robust WordPress sites can face performance challenges. Slowdowns are often caused by factors such as slow-loading plugins, database connection issues, infrastructure capacity problems, network trouble, large page assets (like images or fonts), and broken links. This is why robust monitoring is essential for maintaining a fast, reliable, and user-friendly website.

Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. That makes it challenging to understand how your microservices are working together.

However, it is possible to monitor your Kafka clusters with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open-source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this post, I will leverage a simple application to show how you can achieve this.

Greetings fellow .NET enthusiasts and tech aficionados! With the highly-anticipated .NET Conf 2024 just around the corner, I find myself reflecting on how far we’ve come in the world of .NET development and what thrilling innovations are yet to come.

A Journey Through .NET

Let’s take a quick stroll down memory lane. My experience with .NET technologies dates back to 2002, when I first dipped my toes into the vast sea of possibilities offered by .NET. Over the years, I’ve seen it transform from a promising framework into a powerhouse that underpins countless applications worldwide. Every upgrade has brought something new and exciting, fueling my passion for staying on the cutting edge of technology.

AI applications are complex and distributed, making effective monitoring challenging. Combining the New Relic intelligent observability platform with Pulumi’s infrastructure-as-code and secret management solutions allows for an end-to-end “observability as code” approach. This method enables teams to:

• Define artificial intelligence (AI) and large language model (LLM) monitoring instrumentation along with cloud resources programmatically.
• Securely manage API keys and cloud account credentials.
• Automatically deploy New Relic instrumentation alongside AI applications and infrastructure.

Benefits include:

Effortless integration and enhanced visibility with OpenTelemetry in Blazor WebAssembly

Challenges in observing WebAssembly applications

Observing WebAssembly applications presents unique challenges that stem from its design and execution environment. Unlike traditional web applications, where monitoring tools can hook directly into JavaScript and the Document Object Model (DOM), WebAssembly runs as binary code executed within the browser’s sandbox. This layer of abstraction complicates direct introspection, as traditional monitoring tools are not designed to interact with the lower-level operations of WebAssembly. The Bytecode Alliance plays a crucial role here, promoting standards and tools that aim to enhance the security and usability of WebAssembly, including better support for observability. Moreover, the performance characteristics of WebAssembly, which can closely approach native speeds, demand monitoring solutions that are both highly efficient and minimally invasive to avoid impacting the user experience. This creates a complex scenario for developers who need detailed visibility into their applications’ behavior without sacrificing performance.