In late spring 2019, Matthias Luft and Florian Barth presented a short webinar on cloud concepts, starting with the obvious topic: cloud models, layers, and responsibilities.
You need Free ipSpace.net Subscription to watch the video, and the Standard ipSpace.net Subscription to register for a deeper dive into cloud security with Matthias Luft (next live session on December 10th: Identity and Access Management).
Benchmarking spreadsheet systems Rahman et al., Preprint
A recent TwThread drew my attention to this pre-print paper. When spreadsheets were originally conceived, data and formula were input by hand and so everything operated at human scale. Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking. I’m certainly familiar with the sinking feeling on realising I’ve accidentally asked a spreadsheet to open up a file with 10s of thousands of rows, and that my computer is now going to be locked up for an age. Rahman et al. construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc.
Spreadsheets claim to support pretty large datasets these days – e.g. five million cells for Google Sheets, and even more than that for Excel. But in practice, they struggle at sizes well below this.
With increasing data sizes… spreadsheets have started to break down to the point of being unusable, displaying a number of scalability problems. They often freeze during computation, and are unable to import datasets well below the size limits posed by Continue reading
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Docker Application eases the packaging and the distribution of a Docker Compose application. The TICK stack – Telegraf, InfluxDB, Chronograf, and Kapacitor – is a good candidate to illustrate how this actually works. In this blog, I’ll show you how to deploy the TICK stack as a Docker App.
This application stack is mainly used to handle time-series data. That makes it a great choice for IoT projects, where devices send data (temperature, weather indicators, water level, etc.) on a regular basis.
Its name comes from its components:
– Telegraf
– InfluxDB
– Chronograf
– Kapacitor
The schema below illustrates the overall architecture, and outlines the role of each component.
Data are sent to Telegraph and stored in an InfluxDB database. Chronograf can query the database through a web interface. Kapacitor can process, monitor, and raise alerts based on the data.
The tick.yml file below defines the four components of the stack and the way they communicate with each other:
version: '3.7' services: telegraf: image: telegraf configs: - source: telegraf-conf target: /etc/telegraf/telegraf.conf ports: - 8186:8186 influxdb: image: influxdb chronograf: Continue reading
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Time Is Always Money, Especially With HPC On The Cloud was written by Timothy Prickett Morgan at The Next Platform.