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.
Everyday when you come into work, you’re bombarded with a constant stream of problems. From service desk calls to network performance monitoring, you’re busy from the moment you login until the moment you click the “shut down” option on your device. Even more frustrating, your IT environment consists of an ever-expanding set of network segments, applications, devices, users, and databases across on-premises and cloud locations.
You’ve made the decision to implement a centralized log management solution because you know that it’s going to save you time and money in the long term. However, to get the most bang for your log management buck, you need to understand how the different parts of your log management deployment work. Once you understand each resource, you can implement a more efficient log management architecture.
Most automation approaches start in the same place; coding. For years, IT professionals have relied on scripts or series of scripts to perform tasks and then link them to provide an ‘automation. No-code or low-code reduces complexity and resource overhead, allowing both non-technical and technical users to automate processes through graphical user interfaces (GUI). In most cases, this involves drag-and-drop boxes that imitate a user’s interactions in a process.
In this podcast, the three incident.io co-founders Stephen, Chris and Pete take a trip down memory lane, revisiting the story of how they came to found incident.io and the major milestones of the first 12 months in business.
For Formula 1, speed is about more than just how fast you go around the track. It’s also about having data at your fingertips in real time to make critical improvements before, during, and after the race. “Formula 1 is one of the most fascinating data-driven sports,” said Anshul Sharma, Senior Product Manager at Microsoft. “It’s so competitive that even one tenth-second advantage can change the outcome of the race.”
In CFEngine Enterprise we collect information from each system in the infrastructure as inventory. Some inventory is available by default, and more can be added using modules or writing policy. You can use inventory information to create a Compliance Report with checks that determine if the information complies with your security requirements. In this blog post, we will use some modules from CFEngine Build which provide inventory data, and build a Compliance Report on top of those.
Amazon recently concluded their five-day long conference, AWS re:Invent 2022. This year’s conference was hybrid with the company streaming a significant portion of their in-person conference for free. For ten years now, the event has seen attendees across the cloud continuum come together to learn, share and get inspired. This year was no different as we saw some of the biggest names in cloud computing make their presence felt at the conference in Las Vegas.
