Culture Lambda Software Review Systems Review 
Honeycomb
AUGUST 18, 2020
But every once in a while, teams or systems hit an inflection point where enough things change at once and the pattern of incidents shifts. 8/3 – Query engine lambda startup failures : A code change was merged that prevented the lambda-based portion of our query engine from starting. The meta-review.
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. Understand the cultural foundations of Agile, DevOps, and DataOps. The audience is very broad when described that way. Nevertheless, I strongly agree.
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O'Reilly Media - Ideas
JANUARY 22, 2019
If your job or business relies on systems engineering and operations, be sure to keep an eye on the following trends in the months ahead. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.
AWS Machine Learning - AI
JANUARY 26, 2024
If you are unfamiliar with the overall AI and ML workflow, start by reviewing 7 ways to improve security of your machine learning workloads to increase familiarity with the security controls needed for traditional AI/ML systems.
Modus Create
APRIL 27, 2020
Unlike many other frameworks, React is focused on a specific goal – view rendering – leaving software architects the flexibility to finely tailor the rest of the ecosystem. Allow yourself time to vet and review references. Also, make sure the partner cultivates a good company culture. Automate early.
The Programmer's Paradox
MARCH 13, 2022
To build large sophisticated software, you have to learn how to avoid wasting time on make-work, particularly with creating redundant code. But when the code is large or complex, it becomes a crushing problem. Sloppy coding doesn’t scale. A paradigm is an overall philosophy for arranging the code.
Netlify
SEPTEMBER 30, 2021
These fine folks architect the scalable build system workflows, edge routing, telemetry, metrics, account management, lambda functions, and so much more that everything depends on. Running untrusted code in-process and ensuring it doesn’t spend too long executing and doesn’t block the whole process. Improving our data pipeline.
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