Systems | Development | Analytics | API | Testing

Koyeb Metrics: Built-in Observability to Monitor Your Apps Performances

At Koyeb, we're working to build the most seamless way to deploy apps to production without worrying about infrastructure. But there's still plenty to keep you busy at the application layer with performance tuning and troubleshooting. That's why we're introducing Metrics — an easy way to monitor and troubleshoot application performance. Deploying on Koyeb makes thinking about infrastructure or orchestration unnecessary.

Unlocking BigQuery: Achieving Speed and Scale with Data Observability and FinOps

See what’s new and look ahead to take advantage of the latest innovation from Unravel The demands of data analytics and AI are rising, making it more difficult to keep data pipelines running as they become more complicated. Customers are turning to modern data stacks such as Google Cloud BigQuery to keep up.

Model Observability and ML Monitoring: Key Differences and Best Practices

AI has fundamentally changed the way business functions. Adoption of AI has more than doubled in the past five years, with enterprises engaging in increasingly advanced practices to scale and accelerate AI applications to production. As ML models become increasingly complex and integral to critical decision-making processes, ensuring their optimal performance and reliability has become a paramount concern for technology leaders.

Serverless Observability in N|Solid for AWS Lambda

We are excited to release Serverless Observability for N|Solid with support for AWS Lambda. With the growth of organizations leveraging serverless increasing as they realize the performance and cost benefits, we're excited to provide customers with this new visibility into the health and performance of their Node.js apps utilizing Serverless Functions utilizing serverless architectures. Img 1. Serverless Cloud Providers.

Kensu Brings Data Observability to Data Engineers

What can an organization do to troubleshoot flawed data sets before they get into the hands of end-users? In this episode of “Powered by Snowflake,” host Daniel Myers explores that topic with Andy Petrella, Founder and CPO of Kensu, which offers a data observability platform built specifically for data engineers. The conversation includes a demo of the platform that spotlights how it enables data engineers to proactively identify data problems before the data gets to stakeholders.

Observe Your Phoenix App with Structured Logging

In this post, we'll configure a Phoenix LiveView application to use a structured logger. We'll then use AppSignal to correlate log events with other telemetry signals, like exception reports and traces. Along the way, you'll learn about the benefits of structured logging, and you'll see how to configure a distinct framework and application logger in your Phoenix app. Let's get started!

Mesh Observability with OpenTelemetry P2: Deep Dive

📣 We had so much fun talking Mesh and OpenTelemetry in our last Kong Builders that we decided to give you a special Part 2! Join us on July 5th for a special extra addition of #KongBuilders live. Don't worry! We'll still be back again the last Wednesday of July too in our usual monthly slot! Join your favorite hosts, Viktor Gamov and Danny Freese as they dive even deeper into observability with OpenTelemetry. 📈📋