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Open Source Cybersecurity: Towards a Democratized Framework

Today, anyone can contribute to some of the world’s most important software platforms and frameworks, such as Kubernetes, the Linux kernel or Python. They can do this because these platforms are open source, meaning they are collaboratively developed by global communities. What if we applied the same principles of democratization and free access to cybersecurity?

UI Breadcrumbs for Android Error Events

In cases, when a crash happens in your Android application, you want more context on what occured before the issue — kind of like following breadcrumbs to the exception. Our SDKs automatically report breadcrumbs for activity lifecycle events, system events, HTTP requests, and many more. Now, Android developers will also see UI events listed as breadcrumbs and get the full picture of what happened without ever having to recreate the issue.

Percepio Releases Tracealyzer 4.6 with Improved Zephyr and ThreadX Support

Percepio®, the leader in visual trace diagnostics for embedded systems and the Internet of Things (IoT), today released Tracealyzer 4.6 with official support for Zephyr RTOS and Microsoft Azure RTOS ThreadX. The new release also includes Percepio’s next generation trace recorder library with improved support for snapshot trace.

A Beginner's Guide for Grafana Loki (Open-source Log Aggregation by Prometheus)

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.

For Every Github Action...

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.

Delivering Better Service Experiences with AI-Powered Agents

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.’

Tracing on the Race Track

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.

Using authentication decorators in Flask

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.

Getting Started with the InfluxDB API

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.

Design Considerations for Software Distribution to Edge & IoT Applications

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.