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Runtimes, infrastructure, and APIs tend to get more granular. Maybe we're just in the unbundling phase (implying a future bundling phase), or maybe it's a byproduct of moving functionality to the edge (the network is the bottleneck),  or perhaps this is just a general form of progress (breaking things down into abstractions). At a basic level, granularity lets us bin-pack workloads. Different workloads have varying levels of safety when it comes to resource sharing and allocation. Isolation hap

Trends in medium, AI, and user interaction underpin Instagram’s response to TikTok, and will determine Meta’s long-term moat.

A growing number of startups and Big Tech companies offer equity - stocks, options, and others - as part of software engineering compensation. However, I've noticed few engineers understand what these mean. When I was a hiring manager at Uber in Amsterdam, engineers usually focused far more on the base

Webhooks are the ultimate escape hatch to systems integration. Event publishing that doesn't require you to know much about who is listening on the other end. It's trivial to create a publisher or consumer (bring your own HTTP server/client). On the surface, Webhooks seem antithetical to the rise of the cloud native –  it's easier than ever to set up servers that long-poll, managed pub/sub infrastructure, or simple event queues. But the opposite might be happening. * Zero-trust architectures

In ecology, r/K selection theory relates to the tradeoff organisms make between quantity and quality of offspring. Some organisms choose K-selection, i.e., to have few offspring but offer them substantial parental investment (e.g., humans, whales, elephants). Others choose r-selection, having many offspring with low probabilities of reaching adulthood (dandelions, rodents, bacteria). By analogy, startups exhibit similar trade-offs. Some markets are nascent and rapidly changing. Others are crowd

This past week I was talking to a potential entrepreneur and he asked about startup ideas, markets, fundraising, and more. After sharing that I believe market selection is the main determinant for …

Plus! Grills, Ads, Pricing, Drops, Movies, Diff Jobs ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌Open in browserWelcome to the weekly free edition of The Diff.

Monitoring and observability are related but not the same. This blog explains the differences and why APM products can’t keep up with cloud native.

I spoke at the AppNexus Summit a couple of weeks ago. Brian O’Kelley read my post on adtech investing trends and asked if I could expand during the session. The video is online (my part at 1:…

Staying builds valuable, company-specific knowledge. Leaving often results in a payday—but, why aren't tech companies paying more for their engineers to stay?

Figuring out what best practices to master and how to reduce risk in product development is hard. I break down some frameworks that help make sure teams work on the right things in the right way.

> Well, it works on my machine. A class of tough-to-debug bugs come from something called development-production parity. You can test and validate everything locally, or in recreated test environments, but the application ultimately fails or misbehaves when deployed to the production environment. For a long time, I've thought that the way to ultimately solve this is to share a common runtime platform between production and development – namely, Kubernetes. I wrote about this in Kubernetes Maxi

Only 3 of the top 10 repositories on GitHub actually contain real code. The rest are either landing pages for learning how to code, navigating a career in software development, or marketing for all of the above. 1. freeCodeCamp/freeCodeCamp [https://github.com/freeCodeCamp/freeCodeCamp] [learn to code] 341,877 stars 2. 996icu/996.ICU [https://github.com/996icu/996.ICU][political] 261,290 stars 3. EbookFoundation/free-programming-books [https://github.com/EbookFoundation/free-

"If you have $5 and Amy has $5, Amy has more money than you"

MongoDB continues to thrive despite being built on “open source”; it is creating a playbook for other open source companies to follow.

What might chip away at the best business ever invented?

AWS, ECS and EKS — Okta says sorry — Enterprise tech funding View email in browser | Forward this email By the Enterprise team March 28, 2022 PRESENTED BY Hello and welcome to Protocol Enterprise!

We asked experts about how to improve the dev experience. View email in your browser Braintrust Good afternoon! In today's Braintrust, we asked the experts to think about developer experience and let us know what they thought was the toughest part of creating an environment that works for everyone.

Understanding software performance is an extremely important — and complex — undertaking for the modern enterprise. Simply watching the meter no longer works.

Observability is a powerful concept in microservice-based applications, but be careful you aren’t biased toward the surviving data.

Software development is not all clean code and automated processes -- and it never will be. Buyers and vendors both need to realize this.

Logs are expensive in the cloud era. Collecting the telemetry is fairly cheap, but streaming terabytes across the network, storing them, and running continuous analyses on them gets expensive, quickly. Too many enterprises have been shocked at their monthly bill from Splunk or Datadog. Legacy architectures like Splunk are already prohibitively expensive for enterprises (you can see this reflected in the company's performance – the stock is trading at pre-pandemic levels). Even as the company is

New technical wedges [https://matt-rickard.ghost.io/wedges/] are difficult to spot. But one is quietly taking hold for developers. Language servers and their protocols. Most language services (autocompletion, linting, renaming, formatting) are handled by the IDE. These services require a deep understanding of language semantics, but aren't usually satisfied by a compiler or other tooling. Language Server Protocol (LSP) has quietly become a standard integration point, and thus a technical wedg

Interview occurred in February, 2022. Read more from Shawn on his blog, twitter, and his book, The Coding Career Handbook. Tell us a little about your current role: where do you work, your title and generally the sort of work you and your team do. I’m currently Head of Developer Experience at Temporal.io, an open source workflow engine for long running, durable processes powering companies as small as 2-person YCombinator startups, to enterprises as large as Stripe, Snap, Datadog, Netflix, Doordash, etc.

We’ve raised $100M in a Series B financing led by CRV and Insight Partners, with participation from our existing major investors: Accel, Heavybit, and Uncork Capital, along with a cast of many prominent angels and smaller investors.

On Thursday, while investors were poring over Amazon and Apple's earnings results, Datadog snuck out another product release. In this case, they brought their

The rise of Kubernetes came about through a combination of forces that were in hindsight, quite a long shot. AWS’ dominance created momentum for cloud native application development and the need for simpler experiences beyond easily spinning up compute as a service. This wave crashed into innovations from a startup named Docker and a reluctant […]

These relationships provide tailwinds for Datadog and Dynatrace, as the cloud vendors continue to drive enterprises to cloud migrations and digital

Technology is critical to the survival of nearly every modern business, and it is advancing at a whirlwind pace to continue supporting these vital digital infrastructures. One such change includes a shift towards Observability. In the past year, log management, unified monitoring and event management vendors have adopted Observability to understand the internal state of their IT systems through the system’s telemetry data outputs.