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Lawrence Hecht

Transforming Information Into Knowledge

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Lawrence Hecht

Transforming Information Into Knowledge

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Category: The New Stack

Lawrence started working with The New Stack in 2015. He was the research director for several ebooks about containers, Kubernetes and the cloud-native ecosystem.

He highlighted a chart and findings from industry research in The New Stack’s weekly newsletter. This sampling of the over 400 articles and reports he has written.

which of the following hardware architectures do you currently target for your AI optimizations?
August 12, 2017February 14, 2025Full article from The New Stack, No longer in TNS site

Favored Processor Architectures for Artificial Intelligence

If you were developing a minimal viable product (MVP) for the consumer software market, would it be for Windows PCs, Macs, Linux machines, iOS and Android devices? No, that would be foolish. Yet, it appears that developers are refusing to choose between CPUs, GPUs and […]

download records for open soruce components: Java and JavaScript
July 21, 2017February 14, 2025Published in The New Stack Update

JavaScript Inflection Point vs Java

With Node.js’s use on the server side, comparing JavaScript and Java is no longer apples vs oranges. With that context, it is noteworthy that last year the number of npm (Javascript) packages downloaded surpassed components in the maven (Java) components. According to Sonatype’s 2017 State of […]

leading manufacturers of TOP500 HPCs, by release date
July 14, 2017February 14, 2025Published in The New Stack Update

HPCs Are the Tip of the Iceberg

HPE is by far the leading manufacturer associated with the world’s fastest, commercially available computing systems in the most recent TOP500 list. After them, four of the next six companies are Chinese (Lenovo, Sugon, Inspur, Huawei). So what? Supercomputers can be super boring, but the market is […]

geographic distribution of developers
July 7, 2017February 14, 2025Published in The New Stack Update

Asian Developers Are Underrepresented in the Data

GitHub and Stack Overflow do not represent a true picture of the world’s developers because not everyone uses these sites. Twenty-one percent of active GitHub users are in the Asia-Pacific (APAC) region and a 50,000+ person StackOverflow survey reported 22 percent of respondents coming from […]

Container managers like Kubernetes threaten existing cloud markets
June 30, 2017February 14, 2025Published in The New Stack Update

Private Cloud and PaaS, Run for the Hills

The headline is a bit sarcastic, but the concern is real. If you use containers, then you’re likely to believe container orchestrators are a viable alternative to your current private cloud or PaaS platform. According to a survey of container users (by 451 Research, on behalf of CoreOS), 80 […]

Top technologies running on Docker
June 23, 2017February 14, 2025Published in The New Stack Update

Cloud-native Ecosystem Proxy: Technologies on Docker

Since NGINX is deployed most often on Datadog customers’ Docker containers, we thought it appropriate to use the chart above as a “proxy” for the cloud-native world. From this perspective, all the top technologies are open source, and most of them support data and messaging infrastructure. Interestingly, every […]

June 16, 2017February 14, 2025Published in The New Stack Update

If 99% say they’re happy, ask a different question

Heavy Reading just released a survey saying 98 percent of telecom operators are at least somewhat satisfied with OPNFV. Wow, OPNFV must be kicking butt! Maybe, but that data point doesn’t prove it. Looking at the question’s wording, it asks if the project is helping accelerate open […]

OSS Community: real vs user names on GitHub
June 9, 2017February 14, 2025Published in The New Stack Update

Usernames: Accountability vs Privacy

Fifty-one percent of open source developers are required to provide personal or work information online as part of their job. Sixty-one percent say people should be able to contribute code without attribution to remain anonymous. These are findings from a recently released survey of over 5,000 GitHub users. Still […]

Kafka: functionality used and apps using Kafka
June 2, 2017February 14, 2025Published in The New Stack Update

Kafka in the Real World

If you’ve never used Apache Kafka you would think it’s a magical Excelsior because it’s applied to many different situations. Even people with hands-on experience argue about how to classify it. Is it for pub-sub and messaging, and thus comparable to RabbitMQ? In Confluent’s recent survey of […]

how automated are each of the following lifecycle stages in relation to customer-facing business services and applications?
May 26, 2017February 14, 2025Published in The New Stack Update

Don’t Automatically Make Automation Assumptions

Automation did not originate with Henry Ford’s assembly line. Automation will not end with voice-enabled, machine-learning chatbots supporting ITSM. Automation is evolutionary. Even though time savings are real, every few months it’s important to throw cold water on optimistic expectations. A recent blog by HfS Research CEO Phil […]

Manual app deployment less common among those using 3rd party tools
May 19, 2017February 14, 2025Published in The New Stack Update

IF Third-party Infrastructure Provisioning Tools, THEN CD Pipelines

Since our new Kubernetes survey borrows a couple of questions from Justin Garrison’s recent survey, we are highlighting one of Garrison’s findings — with the usual caveat that a web survey’s sample should not be extrapolated to the larger market. The survey found that most people (78 percent) still use configuration […]

infrastructure code deployment with a delivery pipeline
May 15, 2017February 14, 2025Published in The New Stack Update

Going All In on Infrastructure-as-Code

Infrastructure code needs the same best practices used with application code, but as Dawn Foster told TNS readers, buggy software is foiling dreams of infrastructure-as-code. A recent survey by Justin Garrison, a systems engineer at Walt Disney Animation Studios, sheds light on how often continuous delivery and unit testing […]

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© 2025 Lawrence Hecht.