Insights

Listen: We discuss why chaos engineering and observability will be important in 2019 [Podcast]

This week I published a post that explored some of the key trends in software infrastructure that security engineers, SREs,…

5 years ago

Why moving from monolithic architecture to microservices is so hard, Gitlab’s Jason Plum breaks it down [KubeCon+CNC Talk]

Last week, at the KubeCon+CloudNativeCon North America 2018, Jason Plum, Sr. software engineer, distribution at GitLab spoke about GitLab, Omnibus,…

5 years ago

8 programming languages to learn in 2019

Learning new skills takes time - that's why, before learning something, you need to know that what you're learning is…

5 years ago

4 things in tech that might die in 2019

If you’re in and around the tech industry, you’ve probably noticed that hype is an everyday reality. People spend a…

5 years ago

Quantum computing, edge analytics, and meta learning: key trends in data science and big data in 2019

When historians study contemporary notions of data in the early 21st century, 2018 might well be a landmark year. In…

5 years ago

Key trends in software development in 2019: cloud native and the shrinking stack

Bill Gates is quoted as saying that we tend to overestimate the pace of change over a period of 2…

5 years ago

NeurIPS 2018: How machine learning experts can work with policymakers to make good tech decisions [Invited Talk]

At the 32nd annual  NeurIPS conference held earlier this month, Edward William Felten, a professor of computer science and public…

5 years ago

Key trends in software infrastructure in 2019: observability, chaos, and cloud complexity

Software infrastructure has, over the last decade or so, become a key concern for developers of all stripes. Long gone…

5 years ago

The Future of Cloud lies in revisiting the designs and limitations of today’s notion of ‘serverless computing’, say UC Berkeley researchers

Last week, researchers at the UC Berkeley released a research paper titled ‘Serverless Computing: One Step Forward, Two Steps Back’,…

5 years ago

NeurIPS 2018: Rethinking transparency and accountability in machine learning

Key takeaways from the discussion To solve problems with machine learning, you must first understand them. Different people or groups…

5 years ago