InfluxDB is very powerful for working with time series data, but learning to use any new tool can be intimidating. The fear of a steep learning curve can delay or even prevent people from using new tools that would ultimately make things easier and more efficient. Fortunately, InfluxDB has over a dozen client libraries so you can work with InfluxDB using a language you already know.
Geo-temporal data has both location and time. It’s used for all sorts of applications, from tracking shipments, to predicting weather patterns, to building fitness apps. It’s powerful because it lets you know where and when events happen, so you can understand them better and connect them with other events.
Tracking Service Level Objectives (SLOs) helps developers build more reliable software. At least, that’s the hope of Nobl9. The company’s self-titled SLO platform provides real-time data to software developers, DevOps practitioners, and reliability engineers so that they have the information they need to build reliable features quickly.
The MQTT Consumer Plugin is one of our most widely used input plugins for Telegraf. If you need a little bit of background, then I highly recommend checking out the following: I plan to release an MQTT best practices blog soon, but we thought this plugin partnership was too good not to talk about now.
We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product in sync with developer needs to ensure their happiness and accelerate time to awesome. This is the second in a blog series covering our product’s latest features — features that we think will save you time and effort when building with time series and InfluxDB.
Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.
Depending on your available resources, data analysis can take place at the edge or in the cloud, but businesses don’t need to choose one location over the other. There are benefits to giving the edge autonomy to collect, process, and act on data locally. Data replication helps maintain edge autonomy and makes it easier for users to get the data they need, where they need it.
So here we are…the final chapter. In Part 2 of this series, we started to drill down into some of the concepts that make Kafka great. We concluded that although terminology between MQTT and Kafka was similar (for example topics), they behaved quite differently under the hood. We also took a brief overview of Kafka Connect and how we can use some of the enterprise connectors to stream our data to other platforms. Yet we did learn that Kafka does have some shortfalls.
Operating sustainably and promoting green practices can be more complex than you imagine. The benefits of sustainable practices can be significant for businesses, people and the planet. Companies need to ensure that they’re achieving those benefits in a way that complies with established rules and regulations to maximize the impact these initiatives have.
