Last week we launched a number of features across the PagerDuty Operations Cloud portfolio to help teams minimize downtime and protect customer experience. One of the areas where PagerDuty continues to invest is collaboration and communication during incident response to ensure that all impacted stakeholders across the business are updated in real-time.
Engineering teams use a lot of single-domain monitoring tools. In fact, the average team manages and maintains 16 monitoring tools — and up to 40 — according to Moogsoft’s State of Availability Report. While IT leaders select and implement these tools to save teams time, our research finds they do quite the opposite. Engineers spend far and away more time on monitoring than they do on any other task — innovative, value-creating tasks included.
Did you know? Baby goats stand and take their first steps within minutes of being born. There is no stopping the goats! Likewise, there’s no stopping the goats at Cribl from innovating! Our product herd is growing rapidly, and it’s time for us to share the latest and greatest about our head of the product herd – Cribl Stream. (If you haven’t figured it out yet, We love goats here at Cribl. We even have a goat mascot; meet Ian)
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.
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.
So, you’ve decided to use Azure as your primary cloud platform and want to calculate your infrastructure costs. You estimate them based on listed prices, and rest assured that your startup/project will meet its budget. And then, suddenly, at the end of the month, you receive an invoice from Azure for an amount two times higher than you originally expected.
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.
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.
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.
