In this article, we will explore what Apache Spark is, what key metrics you need to track to keep it running, and how to set up a metrics tracking process. We will also cover monitoring tools such as Graphite and Grafana, which make the process of monitoring metrics very easy, as well as how using MetricFire can make running your monitoring exponentially easier. Check out MetricFire for free or book a demo with our team and learn more about all the benefits of using MetricFire solutions.

In this article you will learn about Node-RED, a popular tool for rapidly gluing together different types of hardware and software. You’ll learn about some of the core concepts of Node-RED and then learn how to make some workflows like storing data from a sensor using an MQTT broker and InfluxDB.

Who’s faking it? Data-driven decision-making (and ensuring related investment is delivering on its promises) has been elevated in importance. Every enterprise is replacing opinion with data-driven decision-making, correct? A brand new research report from EMA (Enterprise Management Associates) titled, “A Data-Driven Enterprise” looks behind the curtain to separate facts and reality from fiction and aspiration. Here are some of the findings from the latest research on enterprises.

What kind of log information should be reported up the chain? At a certain point during log examination analysts start to ask, “What information is important enough to share with my supervisor?” This post covers useful categories of information to monitor and report that indicate potential security issues. And remember: reporting up doesn’t mean going directly to senior management. Most issues can be reported directly to an immediate supervisor.

InfluxDB wins Best Use of Data for IoT Applications category SAN FRANCISCO, March 29, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced InfluxDB has been named a winner in the Data Breakthrough Awards for the Best Use of Data for IoT Applications category. Conducted by Data Breakthrough, an independent market intelligence organization, the awards recognize the top companies, technologies and products in the global data technology market today.

It’s mid-morning. You’re scanning the daily news while enjoying a coffee break. You come across yet another headline broadcasting a supply chain data breach. Your heart skips a quick, almost undetectable, beat. You have the technology in the headline in your stack. You set aside your coffee and begin furiously scanning through the overwhelming number of alerts triggered across all your technologies.

When Rolls Royce Power Systems recently needed to improve its operational efficiency within its manufacturing plants, it didn’t expand its use of a legacy process historian or purchase historian connectors to export data to their business intelligence systems. Instead, it decided to go with a modern time series database, InfluxDB. Graphite Energy, another customer we featured in our recent IIoT announcement, also chose InfluxDB over the legacy process historian vendors. Why?

I’m sure many of you have heard of our Machine Learning Toolkit (MLTK) app and may even have played around with it. Some of you might actually have production workloads that rely on MLTK without being aware of it, such as predictive analytics in Splunk IT Service Intelligence (ITSI) or MLTK searches in Splunk Enterprise Security.

The key challenge with modern visibility on clouds like AWS is that data originates from various sources across every layer of the application stack, is varied in format, frequency, and importance and all of it needs to be monitored in real-time by the appropriate roles in an organization. An AWS centralized logging solution, therefore, becomes essential when scaling a product and organization.