Operations | Monitoring | ITSM | DevOps | Cloud

To a great extent, the value of the Internet of Things (IoT) is realized through the insights (data) generated from sensor data integrated in storage and analytics systems. Consequently, how the data integration is conducted directly impacts the success of IoT projects. For this reason, InfluxData introduced Native Collectors to bypass multiple data hops and enable one-step integration of data from data brokers such as HiveMQ MQTT broker into its InfluxDB Cloud time series database.

If you’re new to InfluxDB you might wonder, “Why does InfluxDB have its own query and scripting language (aka Flux)?” You might also be thinking, “InfluxDB has client libraries. Why and when should I use the Python client library and when should I use Flux?” In this post we’ll discuss when developers should use Flux and when they should use Python for developing their IoT applications.

This article was originally published in The New Stack and is reposted here with permission. A Helm chart can simplify our lives and enable us to see what is happening with our K3s cluster using an external system. Lightweight Kubernetes, known as K3s, is an installation of Kubernetes half the size in terms of memory footprint. Do you need to monitor your nodes running K3s to know the status of your cluster?

The total transaction value of digital payments is projected to exceed $1.7 billion by the end of 2022. Each one of these transactions generates masses of data that contains critical insights for merchants, payment service providers, acquirers, fintechs, and other stakeholders in the payments ecosystem. Having real-time access to these insights has the power to drive growth through customer and market understanding.

We believe that querying data in Apache Parquet files directly can achieve similar or better storage efficiency and query performance than most specialized file formats. While it requires significant engineering effort, the benefits of Parquet’s open format and broad ecosystem support make it the obvious choice for a wide class of data systems.