Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Data Lakes: A Comprehensive Guide

Whether you’re a Data Engineer, DevOps, Cloud Architect, or a Business Intelligence Professional, Data Lakes are indispensable tools for harnessing the power of big data, enabling advanced analytics, and driving informed decision-making across your enterprise. Back in the 90s, the internet boom led to an unprecedented expanse of data. This led to a gaping demand for better data storage solutions.

Heroku Router Path Metrics

We are pleased to announce that we have released a new feature that allows you to collect Heroku Router metrics by path! By default, this option will not be enabled as it will increase your number of total metrics. If no action is taken, you will continue to receive your Router metrics in the default format. This provides a good overview of your application’s total connection times, requests by method/status, etc.

How to Monitor Network Failover: Fighting Against Downtime

The Internet is everywhere these days, woven into how businesses operate and connect with customers, partners, and colleagues. It's not just a luxury; it's a necessity. Keeping things running smoothly means having a network that's on its A-game all the time – no glitches allowed. Why? Well, network downtime isn't just an inconvenience; it's like a money-eating monster that also affects how people see your company.

Why ngrok Prioritized a Datadog Integration for Streamlined Monitoring of HTTP Events

ngrok delivers instant ingress to your applications in any cloud, private network, or devices with authentication, load balancing, and other critical controls using their global points of presence. Hear from Chad Tindel, Field CTO & VP WW Solution Architecture, on why Datadog was their most requested integration and how it provides an easy pathway to ship application and traffic logs into one unified observability platform.

Monitoring Kafka with OpenTelemetry including client side monitoring

In this video, you will see a demo of how to monitor Kafka with OpenTelemetry. We will instrument a NodeJS application using Kafka and get client side metrics like delay between producer emitting a message to consumer receiving it via distributed tracing. We will also get Kafka server metrics like consumer lag and plot it dashboards.

Safer Client-Side Instrumentation with Honeycomb's Ingest-Only API Keys

We're delighted to introduce our new Ingest API Keys, a significant step toward enabling all Honeycomb customers to manage their observability complexity simply, efficiently, and securely. Ingest Keys are currently available for Environment & Services customers, with Classic support and programmatic key management capabilities under development and coming soon!

Powering Real-Time Data Processing with InfluxDB and AWS Kinesis

Imagine a data engineer working for a large e-commerce company tasked with building a system that can process and analyze customer clickstream data in real-time. By leveraging Amazon Kinesis and InfluxDB, they can achieve this goal efficiently and effectively. So, how do we get from idea to finished solution? First, we need to understand the tools at hand.

Your Global Microsoft Teams Performance Action Plan

Our ‘Global Microsoft Teams Performance Trends’ report revealed some very interesting facts about enterprise usage of Teams. Using insight drawn from hundreds of thousands of Teams users, we’ve figured out the issues that plague certain regions. Don’t worry, we haven’t just filed that under “important stuff for later”, we’ve created an action plan for your organization you use to make its Teams performance much better. Let’s dive straight in.

The Real Cost of Synthetic User Testing with AWS

Every time I share a project using SaaS tools, someone inevitably responds that they could do the same thing on their own home server ‘for free.’ I mention this not because it is annoying, since I would never go on social media at all if annoying responses were allowed to change my behavior, but because I think it points to a basic misconception that still affects DevOps practitioners today: the refusal to accurately estimate the real costs of self-managed solutions.