CIO
JANUARY 16, 2023
Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. It also helped reduce energy consumption and costs.
Strategic Tech
JULY 21, 2020
Start by adding all of your IT services (microservices, monoliths, frontends, etc) and classifying them according to their strategic priority. DDD calls the boundaries Bounded Contexts but you can think of them as microservices if you prefer. AWS Lambda) along with your technology choices (e.g. Java) and conventions (e.g.
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Existek
JANUARY 11, 2022
Energy – Shell, Chevron. Energy – TC Energy, Storengy. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. As for Microsoft Azure customers, check the following list. Financial Services – BCI, Manulife.
Modus Create
APRIL 27, 2020
Developer team experience and satisfaction went up because they could focus their energies on creating rather than fighting the legacy stack. Some of the business goals were impossible to meet until we migrated some of the APIs to microservices. Good examples are AWS Lambda or Cloudflare Workers. Invest in Open Source.
Honeycomb
JANUARY 5, 2021
Our instrumegrations team pulled out all the stops in Q4, releasing the Lambda Logs API extension , Beeline-OTel trace header interoperability , and native OTLP ingest. It’s the same whether you’re running a monolith or hundreds of microservices, on a team of two or two hundred. Congrats to Observe Inc. and observIQ.
Honeycomb
JANUARY 5, 2021
Our instrumegrations team pulled out all the stops in Q4, releasing the Lambda Logs API extension , Beeline-OTel trace header interoperability , and native OTLP ingest. It’s the same whether you’re running a monolith or hundreds of microservices, on a team of two or two hundred. Congrats to Observe Inc. and observIQ.
O'Reilly Media - Ideas
MAY 3, 2022
There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient. trillion parameters–but requiring significantly less energy to train than GPT-3. It’s also good to see that energy efficiency has become part of the conversation.
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