The Ghost Inspector team got together for our annual company off-site in Austin, TX this year. We always plan our off-site around presenting at an industry-related event. This year we were thrilled to present to the Austin Automation Professionals Meetup on the topic of headless browsers and testing at scale.
Starting with 7.0, we introduced a new module in Metricbeat to monitor Amazon Web Services. At the time of the initial release in 7.0.0-beta1, this AWS module provides ability to collect AWS EC2 monitoring metrics from Cloudwatch using Metricbeat and stores them in a metric set called ec2. These metrics provide visibility into all EC2 instances across regions without the need to install Metricbeat directly onto the instances.
Amazon DynamoDB is a key-value and document database that allows you to easily scale to huge numbers of records with single digit millisecond performance. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor DynamoDB and what is important to watch.
The rest of the city may still have been in a post-Oscars haze, but over 350 monitoring mavens gathered in downtown L.A. bright and early on Feb. 25 to kick off GrafanaCon 2019. The next two days were filled with 40+ talks, including Grafana end user stories from companies like Bloomberg and Tinder.
It’s an exciting week to be a data analyst. The 2019 Gartner Data & Analytics Summit is a chance for me to learn about the hottest trends from the leading experts in the industry. This year, I wanted to do more than just attend the sessions, I wanted to find a way to pass the ideas back to the analyst community.
Welcome to Part Three of this three-part blog post series. To understand Part Three, I suggest reading Part One and Two first. In Part Three, we explore: How you can use InfluxDB’s built-in Multiplicative Holt-Winters function to generate predictions on your time series data, and a list of learning resources