DevOps and observability in the 2020s
What do the data tell us on the direction modern software development is going? Cloud, open source, machine learning — it's all here, but blind spots remain.
Read More →Quantum Orchestration Platform: A virtual machine for quantum computing
Startup Quantum Machines unveils what could be a key to accelerating quantum computing adoption, already used in production
Read More →The new New Relic: Past BI and the dashboard, toward AI and AIOps
When applications and data change, what should a platform built to monitor them do? It should also change to keep with the times, and that's what New Relic is doing.
Read More →On the Rookout for live data: Instant observability to fix software bugs and open AI black boxes
Getting data to debug your code while running in production, without stopping or redeploying it. Whatever you may be running, wherever you may be running it. And now, with support for open source machine learning frameworks Apache Spark and Tensorflow added to the mix. This is what startup Rookout promises.
Read More →The best programming language for data science and machine learning
Hint: There is no easy answer, and no consensus either.
Read More →Data-driven software development in the cloud: Trends, opportunities, and threats
Software development has been fundamentally changing. It's following the data and going to the cloud. What should organizations be aware of to make the most of it?
Read More →GraphQL for databases: A layer for universal database access?
GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and it seems to be catching up.
Read More →Wolfram Research goes for Software 2.0, releases neural net repository
Wolfram, having been into AI before it was cool, now gets a piece of the deep learning hype, in its sui generis way. Where does it stand compared to the competition, and how easy is it to use and integrate Wolfram with the rest of the world?
Read More →AI-powered DevOps is how CA wants to reinvent software development and itself
How does non-deterministic software sound? Making data-driven software to help make data-driven software may seem like catch 22, but that's what CA wants to do. Here's why and how.
Read More →Reflect: Embedded meta analytics, built for developers
Cloud-based analytics for on premise data, an API-first approach for embedded product analytics, and impact-based pricing. Meet Reflect.
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