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

Experience at 35,000 Feet w/ Derek Whisenhunt (Southwest Airlines)

This week we bring you another special “live from the road” episode of the DEX Show – as we sat down with Southwest Airlines’ Derek Whisenhunt ahead of his amazing talk at Experience Everywhere in New York City! If you’ve ever wondered what separates a best-in-class airline from the rest of the pack, this episode’s for you.

Cribl's Fall Launch: Beyond the Pipeline

What's new in Cribl's Fall release? Stream 4.0: A UX refresh, new DB collector, and a Pipeline profiling capability for better visibility and reduced time to resolution. Cribl.Cloud 4.0: BYO IdP, cloud-hosted queueing for sources and destinations, and the ability to purchase a Cribl.Cloud subscription directly from the AWS Marketplace. Edge 4.0: The addition of fleet management, AppScope Edge integration, enhanced Kubernetes support, and the power to handle up to 15k Edge nodes for even more visibility, at scale.

Getting Started Using Scripts with InfluxDB

Using scripts with a time-series database helps developers streamline application development, scale workloads and build lean integrations. Time-series data is everywhere, and that reality isn’t going to change. The very nature of time-series data means that time-series workloads differ from a lot of other kinds of data. Given the prevalence of time-series data in our modern, connected world, it’s more important than ever to ensure that developers have tools to manage it.

TL;DR Python, Pandas Dataframes, and InfluxDB

InfluxDB has over a dozen client libraries so developers can get started more easily and program in the language they’re most comfortable with. One of our most popular options is the Python client library. InfluxDB supports not just Python but pandas, a tool popular with data scientists for analyzing and manipulating data. You can use the client library to output data from InfluxDB into a DataFrame format pandas can ingest, and you can write pandas DataFrames directly to InfluxDB.

How Time Series Data Empowers Telcos to Stay Competitive

Time series databases can help telecommunications companies become more reliable, efficient and productive. The telecommunications industry is undergoing rapid change as a handful of new technologies and government actions change the underlying business landscape and create space for new companies to innovate and disrupt the established players.

Getting Started with Fluentd for Data Collection

Fluentd is an open source data collector capable of retrieving and receiving event data from several sources and then filtering, buffering, and routing data to different compatible destinations. It utilizes a plug-in system to help you quickly set up specific inputs, apply any required filtering, and send data to your preferred data ingestion platform. Fluentd supports multiple sources and destinations, and it can be deployed to multiple operating systems, including Windows, Linux, and macOS.

Advancing Observability: Cribl Search and New Product Enhancements Available Today

Product launch day is our favorite here at Cribl. It’s the culmination of hard work from our entire team and, better yet, the first time our customers get their hands on our latest innovations. And today is a big one. Our newest product, Cribl Search, is now generally available on Cribl.Cloud.

Cribl's New User Interface: Simple, Accessible, and User-Friendly

The last year has been HUGE for us here at Cribl; we’ve seen explosive growth across our business. For those of us in the Product teams, one of the most exciting areas of growth has been the launch of two new ground-breaking products. First, we launched the first fully manageable and auto-configurable agent designed to collect telemetry data at scale – Cribl Edge, which enables customers to move data collection, processing, and routing out into the data source itself.