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The Good and the Bad of Docker Containers

Altexsoft

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. million monthly active developers sharing 13.7 Docker registries.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. With these basic concepts in mind, we can proceed to the explanation of Kafka’s strengths and weaknesses. Cloudera , focusing on Big Data analytics.

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Technology Trends for 2023

O'Reilly Media - Ideas

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 131
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model. It is one of the ways you can organise your engineering teams in a retail environment.

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Technology Trends for 2022

O'Reilly Media - Ideas

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 107
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We haven’t combined data from multiple terms. serverless, a.k.a. frameworks.