Operations | Monitoring | ITSM | DevOps | Cloud

We’d like to let you know that InfluxDB Cloud is now on AWS US East, also called us-east-1, based in northern Virginia. This is our third AWS region, after initially launching InfluxDB Cloud in AWS Oregon and later AWS Frankfurt. This brings InfluxDB Cloud’s effortless scaling, flexible usage-based pricing, AWS marketplace integration, and a broad range of AWS connectivity points to customers that want to manage their time series data in the eastern United States.

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.