Operations | Monitoring | ITSM | DevOps | Cloud

When I talk with Splunk customers, their challenges sometimes sound like trying to find a needle in a stack of needles. Feel the same way? The answers you need are out there, hidden in your data. Our job is to help you find them. Securing your networks, keeping them up and running and maximizing efficiency are key priorities. You also face the challenges of speeding up development and driving innovation to stay competitive.

The high volume and high rate of transactions in the adtech market pushes vast amounts of data through the entire ecosystem, 24×7. Regardless of its place in the market – advertiser, ad exchange, ad network, or publisher – each has thousands or even hundreds of thousands of metrics that measure every aspect of the company’s business. Monitoring these metrics can prevent incidents from impacting the business.

Apache Kafka is known for its ability to handle real-time streaming data with speed and efficiency. It’s also known for being scalable and durable, which makes it ideal for complex, enterprise-grade applications. Of course, those new to the concept behind Kafka may find that it takes some time to understand how it works. Thanks to its unique combination of messaging, storage, and stream processing features, Kafka is well suited for both real-time and historical data analysis.

Having joined Grafana Labs as one of our first data & analytics hires, I spent much of my time in the first few months considering how we should structure our data stack to optimize for a quick path to value, while allowing our small data team to scale going forward.

Whether you’ve just started your observability journey or haven’t started one at all, Techstrong Research is here to help the industry gain insights into observability with their “Observability at the Speed of Innovation 2022” survey, sponsored by StackState. Techstrong Research, an industry analyst and consulting group focused on the business outcomes of disruptive technologies, is researching where organizations are in their observability journey.

Telegraf, InfluxData’s open source data collection agent, is a key tool for managing data pipelines. Users around the world rely on Telegraf’s flexibility to collect, clean, transform, and send data. But even with Telegraf’s immense popularity, we continue to look for ways to make it even easier to use. That’s why, when we launched InfluxDB University, we knew that Telegraf would be a key ingredient.

This article will discuss API Monitoring, the definition of APIs and how they would affect your business if there is a failure, and how to protect APIs or your services. Everything on the web is powered by an API nowadays. APIs are an essential part of the web to connect different services that help customers complete their actions. This article will help you understand the importance of API and why API monitoring is a business necessity.

You may have previously heard about OpenTelemetry (also known as OTel) if you have looked into improved ways of standardising different data types. In this article, we’ll delve into the key things you need to know about OpenTelemetry and how this unified standard may become the future of how logs, metrics, events and traces are all handled.

Routing problems tend to emerge when you’re first setting up a new piece of network equipment, and when something has failed. Usually, routing problems are caused by some sort of configuration or design error. Troubleshooting routing problems is tricky because the usual tools like ping and traceroute don’t always tell you what you need to know.