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.
We are excited to share the latest development in our ongoing partnership with Microsoft. Available in public preview, you can now find, deploy, and manage Elasticsearch from within the Azure portal. Bring powerful enterprise search, observability, and security capabilities to your Azure environment with a user interface and tools that are already familiar to you.
We are pleased to announce the general availability (GA) of Elastic 7.13. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana. This release enables customers to search petabytes of data in minutes cost-effectively by leveraging searchable snapshots and the new frozen tier.
Everyone says the cloud is the future. Sure, but try telling that to someone who has terabytes of sensitive data stored in an on-prem InfluxDB Open Source (OSS) instance, and they will bring up a whole set of reasons why it doesn’t make sense for them to move into the cloud right now. There are also some use cases which make more sense for on-prem software deployments.
HAProxy generates over a hundred metrics to give you a nearly real-time view of the state of your load balancers and the services they proxy, but to get the most from this data, you need a way to visualize it. InfluxData’s InfluxDB suite of applications takes the many discrete data points that make up HAProxy metrics and turns them into time-series data, which is then collected and graphed, giving you insight into the workings of your systems and services.
In this post, we will describe a simple way to share data from multiple InfluxDB 2.0 OSS instances with a central cloud account. This is something that community members have asked for when they have OSS running at different locations, but then they want to be able to visualize some of the data or even alert on the data in a central place. Please note that while the method presented here is simple and fast to set up, it has many limitations which may make it inappropriate for your product use case.
