Curated articles, resources, tips and trends from the DevOps World.
Have you ever worked at a company where you struggled with containerized apps but couldn’t quite express why? My initial experiences with containers were at a company implementing them in every wrong way imaginable. For example, they ran databases inside a container with no external volumes.
While some locations and organizations tend to be more at risk of a cyberattack or other security incidents involving data, it’s critical for all companies to consider the cyber threat landscape.
The AWS Summit season has started. AWS Summits are free technical and business conferences happening in large cities across the planet. This week, we were happy to welcome our customers and partners in Sydney and Paris.
Should Site Reliability Engineering alerts be “shifted left” into the Continuous Integration stage of software deployment, that is before the software is even deployed?
Over the past few years, container adoption has revolutionized everything. Containers became the de facto standard of software deployments, providing a wide range of advantages such as:
It used to be so easy. Never, ever open a DOC of an XLS file from someone you don’t know. Ah well, those simple, early days of phishing are long gone. Mind you, people still fall for those attacks, but now phishing attacks have a new, novel way of getting on your PCs.
The rise in cyberattacks and the critical role that software plays in our lives has brought to light the need for increased transparency and accountability in the software supply chain.
When software developers are building their microservices for use inside Docker containers, it saves a great deal of time and effort for them to also test for various dependencies in parallel instead of starting from scratch after the app is done.
DevOps is full of buzzwords, jargon and abbreviations. DevOps itself has only been around for a little more than a decade, so some of these concepts are relatively new. However, some are quite old, and their definitions and uses have changed over time.
Does data for artificial intelligence and machine learning need their own workflows and orchestration system? It does, according to Union.ai, which offers an open source solution called Flyte that provides workflow and orchestration to fit the unique demands of data, not software.
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