System Architecture

Documentation generators can help DevOps teams better understand GraphQL APIs, improve collaboration and speed up development cycles.

The speed layer handles high-velocity data streams that require immediate processing along with integrated historical data to drive real-time decision-making.

The technology we needed to bump serverless from good to great was living in the browser. We just needed to pluck Wasm from there and plant it in the cloud.

Web applications often require an internet connection, but a fair chunk can also work offline. We show frontend engineers how to gracefully implement the big 3 local-first solutions: storage, synchronization, and conflict resolutions.

Promoting Good Software Design through Decoupling

Like the rest of the world, we have been watching Microsoft’s increasing use of foundation models as it transforms its services and software. It is hard

Preprocessing is a crucial step in machine learning model development. Check out these developer tips to organize and prepare your data sets.

A new way of making wafer-scale electronics out of atomically thin sheets.

At the end of 2022, Paulus Schoutsen declared 2023 "the year of voice" for Home Assistant, the popular open-source home-automation project that he founded nine years ago. The project's goal this year is to let users control their home with voice commands in their own language, using offline processing instead of sending data to the cloud. Offline voice control has been the holy grail of open-source home-automation systems for years. Several projects have tried and failed. But with Rhasspy's developer Mike Hansen spearheading Home Assistant's voice efforts, this time things could be different.

What I’m about to say is pretty obvious to most artificial intelligence (AI) researchers, but I think others might benefit from hearing it. In general, AI systems are created by combining computer hardware, other hardware, access to data, an architecture, parameter settings, and hand-made software. Machine learning (ML) systems have relatively little hand-made software, while robotic systems have more other hardware.

Understanding the fundamentals of JSON web tokens is essential. When incorrectly configured or misused, they can give users access beyond their privileges.

For many years, and quite a long time ago in computer time, Hadoop was seen as the best way to store and analyze mountains of unstructured data. But then

If I navigate to https://blog.cloudflare.com/, my browser will connect to a remote TCP address from the local IP address assigned to my machine, and a randomly chosen local TCP port. What happens if I then decide to head to another site?

The paradox of choice is real when it comes to setting up your data infrastructure. The modern data stack has more options than ever…

The Swift programming language is known for its easy-to-use and efficient syntax. One of its most powerful features is the Codable…

Programmers are really ingenious fellows who love coming up with weird names. Today I want to tell you about some of the most curious names…

CM.1 How you can use math to reconcile cybersecurity

Fragmented architectures: Mesh (Service Mesh, Space-Based Architecture), Service-Oriented Architecture, Hierarchy (Cell-Based…

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For quite some time now ops has auto-generated firewall rules for various cloud providers such as GCP and AWS. In this tutorial we learn how to implement a network firewall in the Nanos unikernel through simple configuration.

BPF programs destined to be loaded into the kernel are generally written in C but, increasingly, the environment in which those programs run differs significantly from the C environment. The BPF virtual machine and associated verifier make a growing set of checks in an attempt to make BPF code safe to run. The proposed addition of an iterator mechanism to BPF highlights the kind of features that are being added — as well as the constraints placed on programmers by BPF.

With operational availability now essentially publicly available, security is capable of much the same thing focusing on velocity and safety.

Building search functionality in products is a common task. Many solutions exist to solve this problem already. OpenSource tools like opensearch and mellisearch are some examples that are very commonly used. Using a 3rd party tool to build a “full-text search” is a good bet if you have a lot of data (i.e. a lot of users). The goal of this post is to have a look at some in-built tools to build a minimalist search feature when your data is backed by a Postgres (or any SQL) database.