Development

Reporting has been an important capability for Azure DevOps customers who rely on Analytics to make data driven decisions.

Today, we’re excited to announce that the following Analytics features listed below will be included in our Azure DevOps Services offering at no additional cost. Customers will start to see these changes rolled out to their accounts soon.

 Intro

At Microsoft, we’re investing in helping our customers as they move to the cloud. We see an opportunity to help support companies in this changing environment by bringing our security, privacy, compliance and intellectual property assets and expertise to bear in order to help them be more successful. We’re excited to now take an additional step that expands innovation protections.

Today, we are pleased to announce the expansion of the Microsoft Azure IP Advantage program to include new benefits for Azure IoT innovators and startups. We first announced Azure IP Advantage in February 2017, to provide comprehensive protection against intellectual property (IP) risks for our cloud customers. A trend we saw at the time – and one that continues today – is a growing risk to cloud innovation from patent lawsuits. Last year, we joined the Open Invention Network (OIN) and the License on Transfer (LOT) Network to help address patent assertion risk for our customers and partners.

Some days ago we announced the availability of our release candidate (RC) of TypeScript 3.4. Our hope is to collect feedback and early issues to ensure our final release is simple to pick up and use right away.

To get started using the RC, you can get it through NuGet, or use npm with the following command:

npm install -g typescript@rc

You can also get editor support by

• Downloading for Visual Studio 2017 (for version 15.2 or later)
• Following directions for Visual Studio Code and Sublime Text.

Let’s explore what’s new in 3.4!

Visual Studio 2019 Preview 3 introduces a new feature to reduce the binary size of C++ exception handling (try/catch and automatic destructors) on x64. Dubbed FH4 (for __CxxFrameHandler4, see below), I developed new formatting and processing for data used for C++ exception handling that is ~60% smaller than the existing implementation resulting in overall binary reduction of up to 20% for programs with heavy usage of C++ exception handling.

How to compare the efficiency of SQL query plans? “Measure the execution time, of course!” — an experienced reader would say. And they would be absolutely right: from a practical perspective, the more efficient DBMS is the one that delivers higher TPS. However, sometimes we need to design a system that doesn't exist yet or predict behavior under loads that haven't occurred yet. In such cases, we need a characteristic that allows us to perform a qualitative analysis of a plan or compare two plans. This post is dedicated to one such characteristic — the number of data pages read.

We at Verilog Meetup constructed an exam/interview problem that has an interesting property: if a student tries to figure out a solution by thinking by himself, he usually succeeds; however if he dumps the problem on ChatGPT, the solution fails (does not pass the automated test), and the student goes into a death spiral of futility, kicking ChatGPT to get the solution right.

There is nothing weird about the problem, we do this in the industry all the time:

Hi all! The dev.family team is in touch. In this article, we are sharing a short guide on how to install Splash Screen in a cross-platform app written in React Native with support for multiple themes.

Splash screen is the first screen that users see before loading into the main application. This screen is perhaps the best way to make the name of your app, and in general, its entire name, more memorable.

But this is not the main role of the splash screen. Under it, for example, you can hide receiving data from the API and loading the main application. We do this when we show the loader on the screen when loading the same data. This allows you to improve the UX and immediately demonstrate the finished application to the user. And as a result, remove the extra loader when opening it for the first time.

In this short guide, we will look at installing splash screens for iOS and Android using the react-native framework using the react-native-splash-screen library.

Last week I was doing a seminar on SystemVerilog, ASIC and FPGA at ADA University in Baku, Azerbaijan. I will replicate the last two sessions of this seminar, on RISC-V CPU simulation and synthesis, at the Verilog Meetups on March 3 and March 10 at Hacker Dojo, Mountain View, California. For this reason I am combining the information about Azerbaijan and California seminars in a single post.

First, let's talk about ADA University.

The team developing a set of portable SystemVerilog examples decided to organize the first event in Silicon Valley on Sunday, January 14 from 2PM till 5PM at Hacker Dojo in Mountain View, CA. If the first event is successful we are going to make it recurrent. You can register for the event on Meetup or LinkedIn.

The current directions of the group:

Ссылка на русскую версию / link to Russian version

Understanding valid/ready protocol is extremely important for every microarchitect.

Valid/ready is one of the main protocols used to organise flow-control inside a logic block as well as on inter-block (SoC) level.

In the last lesson, we explored FIFO buffer using hdlgadgets - human-in-the-loop HDL training tool.

This time we will take two FIFO buffers (which form a pipeline with valid/ready handshakes) and will experiment with it by changing flow-control logic of the pipeline.

We will show that valid/ready is not only a mechanism for transferring data from one FIFO queue to another, but also a method for organizing various kinds of logical functionality between queues.

If you have not worked with valid/ready protocol before, you will be surprised how easy it is to achieve desired functionality of the design by simply writing couple of lines of Verilog code in the handshaking logic block between two FIFOs.

OpenTeleletry Collector is an open source data collection pipeline that allows you to monitor CPU, RAM, disk, network metrics, and many more.

Collector itself does not include built-in storage or analysis capabilities, but you can export the data to Uptrace and ClickHouse, using them as a replacement for Grafana and Prometheus.

When compared to Prometheus, ClickHouse can offer small on-disk data size and better query performance when analyzing millions of timeseries.

Rust's type system is quite powerful as it allows to encode complex relationships between user-defined types using recursive rules that are automatically applied by the compiler. Idea behind this post is to use some of those rules to encode properties of our domain. Here we take a look at Peano axioms defined for natural numbers and try to derive some of them using traits, trait bounds and recursive impl blocks. We want to make the compiler work for us by verifying facts about our domain, so that we could invoke the compiler to check whether a particular statement holds or not. Our end goal is to encode natural numbers as types and their relationships as traits such that only valid relationships would compile. (e.g. in case we define types for 1 and 3 and relationship of less than, 1 < 3 should compile but 3 < 1 shouldn't, that all would be encoded using Rust's language syntax of course)

Let's define some natural numbers on the type level first.

Great for seamless patterns, abstract drawings, and watercolor-styled images. How to use it and train a neural network on your own pictures?

Download the model here: https://huggingface.co/netsvetaev/netsvetaev-free

With the end of the 2022' third quarter, we invite you to take a tour into DDoS attacks mitigation and BGP incidents statistics recorded from July to September.

The second quarter of the year has ended and, as usual, we take a look back at the mitigated DDoS attacks activity and BGP incidents that occurred between April and June 2022.

Structured logging is gaining more and more popularity in the developers' community. In this article I'd like to demonstrate how we can use structured logging with the Microsoft.Extensions.Logging package and show the idea how we can extend it using the new features of C# 10.

So, I finally found a moment to write a bit about how we created the water for TReload. Our basic goal was to flood all of the levels with acid - a lot of acid, as the flooded area is massive :) Here’s one of the results which we got out of this process: