Operations | Monitoring | ITSM | DevOps | Cloud

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.

In my role here at Splunk, I get the opportunity to speak to a number of our customers about the challenges they are facing in building and running these complex platforms that power today’s environments. And what’s more, is that the challenges are more or less the same.

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.

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.

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!

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.

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.

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.

In the dynamic world of observability and analytics, everyone’s looking for smarter, more efficient, and interoperable ways to handle their data. That’s where Cribl steps in, bringing you an exciting update to our product lineup. We’re thrilled to introduce the OTLP Metrics Function to Cribl Stream 4.5! This Function converts metrics into the OpenTelemetry Protocol (OTLP) format with ease!

So, you finally have Cribl Edge collecting Logs, Metrics, and Events from your Kubernetes clusters and scraping your Prometheus endpoints. This post will guide you in enriching your events and metrics to help you identify and spot trends or anomalies in the performance of your containers.