Amazon CloudWatch — Amazon’s built-in infrastructure monitoring tool — monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. Here’s what you can do with this tool and how to access AWS CloudWatch monitoring dashboards.
As you may know, InfluxDB is available in multiple forms, including InfluxDB Open Source and InfluxDB Cloud. Customers will sometimes ask us, “If I’m using InfluxDB Cloud, is there any reason I should also consider using InfluxDB open source?” It’s a fair question.
For the last few months, I have been actively contributing to the InfluxDB community by building InfluxDB Templates for InfluxDB 2.0. InfluxDB is the purpose-built time series database used for metric collection and storage. Let’s build an InfluxDB Template to monitor PostgreSQL together! 👏
Air quality monitoring is important as poor air quality is responsible for an estimated 60,000 premature deaths in the United States each year, and annual costs from air pollution-related illness are estimated at $150 billion. Air quality monitoring can help track and guide action to reduce air pollution, which can cause short-term and long-term health effects for children, older adults, and people with heart disease, asthma, and other respiratory conditions.
SAN FRANCISCO — November 10, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the general availability of the next-generation open source platform for time series data, InfluxDB 2.0. Developers can now ingest, query, store and visualize time series data in a single unified platform, leverage new tools and integrations, and use familiar skills — making it faster and easier than ever to develop and deploy modern time-based applications.
Today, we are proud to announce that InfluxDB Open Source 2.0 is now generally available for everyone. It’s been a long road, and we couldn’t have done it without the amazing support and contributions of our community. This marks a new era for the InfluxDB platform, but it truly is just the beginning. Before we talk about the future, let’s take a look at some of the amazing new capabilities our team has been working on.
On November 12, 2013, I gave the first public talk about InfluxDB titled: InfluxDB, an open source distributed time series database. In that talk I introduced InfluxDB and outlined what I meant when I talked about time series: specifically, it was any data that you might ask questions about over time.
This article was written by InfluxDB Community member and InfluxAce David McKay. Eighteen hours ago, I was meeting with some colleagues to discuss our Kubernetes initiatives and grand plan for improving the integrations and support for InfluxDB running on Kubernetes. During this meeting, I laid out what I felt was missing for InfluxDB to really shine on Kubernetes.
Downsampling is the process of aggregating high-resolution time series within windows of time and then storing the lower resolution aggregation to a new bucket. For example, imagine that you have an IoT application that monitors the temperature. Your temperature sensor might collect temperature data. This data is collected at a minute interval. It’s really only useful to you during the day.
Whether you’re using InfluxDB Cloud or InfluxDB OSS, the InfluxDB API provides a simple way to interact with your InfluxDB instance. The InfluxDB v2 API offers a unified approach to querying, writing data to, and assessing the health of your InfluxDB instances. In today’s Tech Tips post, we’re learning about how to create and list buckets. Buckets are named locations in InfluxDB where time series data is written to.
