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Custom Software Development Services & Modern Practices

Apiumhub

Custom software development plays an important role in taking your project to the next level. Custom software development gives your business the flexibility and compatibility to scale up or down and tailor it to your needs. The alternative, off-the-shelf software could be inefficient or inadequate.

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Technical Feasibility in Software Engineering: Things to Consider Before Development Starts

Altexsoft

Technical feasibility inspects whether software can be built at all with available tools and experts. In software engineering, technical feasibility (TF) is the most time-consuming and complex part of the full feasibility analysis. Tech miscalculations are not unique to ambitious, state-backed space endeavors.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. All ML projects are software projects. In effect, the engineer designs and builds the world wherein the software operates.

DevOps 143
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Automation of complex IT systems

OpenCredo

At OpenCredo, our speciality is cloud native delivery – whether applications, infrastructure platforms or data systems. Over the last 10 years or so, the cloud has emerged, exploded in complexity and transformed the infrastructure space. Automation ? The Ironies of Automation.

System 52
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. How could we improve the quality of life for data scientists?

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. How could we improve the quality of life for data scientists?

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. CloudBank started their business writing custom software for private banks running mainframes.

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