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The container orchestrator may be popular, but it's also complex. Here are the pros and cons of alternatives like Nomad, Cycle, and more. #Kubernetes #K8s #containers #cloudnative #Nomad #Cycle #Hashicorp

Fiberplane provides a Jupyter Notebook-type interactive platform that integrates with existing observability tools, creating a central collaboration space.

An overview of how most businesses make sense of their data today

One of the more interesting discussions that attracted some attention during KubeCon + CloudNativeCon was how, due to its design, WebAssembly can replace Docker in many circumstances.

every backend i see, PagerDuty and Datadog seem to have ~100% market share, basically uncontestedhow do you dominate a category so completely that other pple look at you and go “nah i cant top that”? this is a high art— swyx 🗽 (@swyx) June 29, 2022

Postman, which ratcheted up half a million users even before the company was incorporated, was one of the first to recognise the potential of APIs

Salesforce built one of the world's most successful platforms around CRM data. Can Snowflake do the same for analytics? For platforms, I use the Gates definition, A platform is when the economic value of everybody that uses it exceeds the value of the company that creates it. Applications are already being built on Snowflake, powering the so-called Modern Data Stack. A cloud data warehouse enables the next generation of business intelligence, ETL, and workflow orchestration. At least the priv

Every sufficiently advanced configuration language is the wrong tool for the job. For basic configuration, YAML or JSON is usually good enough. It falls apart when you try to do more: * Template it with a templating engine * Use esoteric language features to reuse code (anchors and aliases) * Patch or modify it with something like JSONPatch * Type-check or schema validate These are anti-patterns and often cause more issues than they solve. So instead, we develop more advanced configuratio

What happens when software becomes so easy to deploy that you could run it yourself? For instance, this blog could be reduced to probably ~100 lines of reusable AWS CDK that anyone could deploy. You wouldn't really have to do much maintenance – the static files are hosted on a CDN, and the dynamic parts have a small surface area. There are enough serverless cloud services to make sure you really only need to worry about application-level errors – not the mail server going down (AWS SES) or the

If you're deploying applications on Ethereum, you might use the web-based Remix IDE. It bundles a working set of the different tools you need to write Solidity code, deploy it to a test environment, debug it, and eventually run it in production. Remix might be one of the first times a niche IDE has emerged and started browser-first. Some technicals: First, you can find the open-source code on GitHub here. It is Monaco-based (the same editor that powers VSCode). It uses its own plugin system ra

Infrastructure as code (IaC) will change the way that we consume infrastructure from cloud providers. IaC is a win for customers, but will it be long-term strategic for the cloud providers themselves? Or is it the start of the commoditization and abstraction of the cloud layer? A wedge for new entrants to compete on? * IaC turns cloud infrastructure from a GUI to an API layer. I believe this also changes the end-user of many of these services, disintermediating many purely operational roles (e

Git was born from the collaboration problems in the Linux kernel. Nearly a decade later, new problems arose when Kubernetes (the operating system of the cloud) brought open-source collaboration to a new level. I saw the pain points of git (and GitHub) firsthand working on Kubernetes open-source. Will a new version control system (or something that solves similar problems) spring up? Some ideas on what a new version control system would look like. * Atomicity across projects –  GitHub is a de

Unacademy has ventured into SaaS. This experiment leads to more questions than customers, and it will be difficult for Cohesive to pass this test

$49B in annualized recurring revenue, up 22% from 2020, from over 1000 companies whose products were sold or influenced by developers!

Over 200 Cloud Native Development Companies Representing $100B in Market Capitalization

Plus! The Employee Equity Put; Competence; Literally; Activist Emissions Tracking; Travel Returns

Cybersecurity has yet to embrace freemium in a major way. But investors say Snyk's success is starting to change that.

Fred Brooks observed in Mythical Man Month that adding more programmers to a project often slowed it down. The effect works in reverse, as Paul Graham noted in a 2001 essay, The Other Road Ahead: as groups get smaller, software development gets exponentially more efficient Graham was observing the early effects of SaaS and web programming. No need for porting applications to different operating systems or physical releases (floppies, CDs, or software appliances). SaaS removed the dependency h

A new wave frontend toolchain is emerging, and it's extremely performance-driven. I'm talking about Deno and bun (runtimes),  esbuild, swc, and Rome (bundlers), to name a few. These tools were built as a response to the slowness and complexity of Webpack. Some traits that separate them from the pack * Written in compiled systems languages like Rust, Go, C++, or other languages like Zig that expose low-level constructs. * Maximize parallelism * Take advantage of cache locality * Edge native

This is a guest post by Guilherme Mori, CTO at zMatch, about his experience using Akita to quickly understand his API endpoints pre-launch and to easily monitor them post-launch.

Stacks help developers launch multiple microservices in a single click

Not the implementation. At my first job, I spent a lot of time digging into the fintech stack. I had become convinced that reverse engineering mobile banking APIs was the technically superior option to screen-scraping. I even took my unsolicited opinion to Hacker News, running into one of the Plaid founders (Plaid, like Yodlee before it, originally used screen-scraping). Plaid turned out to be wildly successful. I learned that the value is in the API, not the implementation. Sometimes a dirty i