Operations | Monitoring | ITSM | DevOps | Cloud

In our last episode, I wrote about some speed improvements to date_histogram and I was beside myself with excitement to see if I could apply the same principles to other aggregations. I've spent most of the past few months playing a small part developing runtime fields but eventually I found time to take a look at the terms aggregation.

At Adyen, we use Elasticsearch to power various parts of our payments platform. This includes payment search, monitoring, and log search. Let’s take a look at how we use Elastic for these different use cases and see how we capitalize on the power of Elasticsearch. We recently did a talk about some of our Elasticsearch adventures at an Elastic meetup. You can find a recording here.

In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.

Amazon Web Services (AWS) introduced a preview of Timestream in November 2018 before releasing the full version in October 2020. AWS Timestream is a time series database that can process trillions of events daily. It is faster and less costly than relational databases offered by AWS for processing time-series information. In this article, we will look at what Timestream can do compared to some other AWS databases, and how to use Timestream to help monitor the health of your system.