Operations | Monitoring | ITSM | DevOps | Cloud

Postman is a great tool for API testing during development. It’s GUI is simple to learn and ubiquitous. However, manually writing test cases for local development gets tedious fast if you have a lot of endpoints. Meticulously entering every detail for every use case takes forever. Also, if you get one HTTP Header or parameter wrong, it can take hours to diagnose. And even when it’s done, the API tests are almost immediately out of date because the API contract changes.

Many logging solutions are available on the market to deal with log data, each focusing on a different part of the logging issue including log aggregation. These solutions are open-source and proprietary software and tools incorporated into cloud provider platforms, as well as a variety of capabilities to fulfill your requirements. Grafana Loki is a new industry solution, so let's take a closer look at what it is, where it originated from, and whether it can suit your logging requirements.

On Nov 13, 2019 Github made it’s CI/CD solution GitHub Actions generally available to the world. Since then tens of thousands of shared workflows have been published. It is now the default for most Github projects given how easy it is to integrate with an existing repo. Projects of all sizes have adopted it from our homegrown Terraform module to the Docker Cli. This is why at Speedscale we’ve published a template for how to use Speedscale in conjunction with GitHub Actions.

Today is test day at Curborough Sprint Track, and the University of Nottingham’s Race Team is taking its creation out for a spin. Frankie is their fully electric 2WD vehicle, able to achieve speeds of up to 80mph (129 km/h). The Team uses Tracealyzer to test the functionality of their embedded software; while writing the code, to record the trace while Frankie is running, and to review the data afterwards. And with great results.

This article was written by Nicolas Bohorquez. Scroll below for the author’s picture and bio. Time series databases, like InfluxDB, index data by time. They are very efficient at recording constant streams of data, like server metrics, application monitoring data, sensor reports, and any data containing a timestamp. Data in a time series database is always written with the most recent data values but with the previous values not updated.

For the last two years, it’s an understatement to say we’ve witnessed big shifts in the relationship between most employees and their work environment. Many of us saw our work experience transform seemingly overnight into predominately a digital one as working from home became the ‘new normal.’

Has your team worked on an API and wanted (somehow) to implement more powerful security features? If you are dissatisfied with the level of security in an API, there are solutions for improving it! In this tutorial, I will lead you through the process of creating API endpoints that are secured with authentication tokens. Using these endpoints, we will be able to make requests to the Flask API only for authenticated users.

Make no mistake: You can’t overlook software distribution in DevOps. At risk are the reliability, security and speed of your software releases — and your business itself. This is especially true in enterprises that are releasing across numerous edge endpoints or IoT devices. As your releases’ cadence and payload grow, software distribution challenges multiply, particularly at the edge.

Are you looking for an open source cloud platform and you don’t know where to start? Are you getting lost in all the independent rankings and cloud platform comparison pages? Try OpenStack and get your open source cloud platform up and running today. OpenStack works at any scale: from a single workstation to thousands of nodes and installs in minutes. Sounds impossible? Give it a try or continue reading to explore where is it coming from.