In this tutorial, we are going to look at how to detect NSFW images using machine learning algorithms and programmatically blur them based on their NSFW score.
Discuss the advantage of the blameless postmortem process and how it can be a culture of change in a company — a culture for a better change and not to blame!
Some very unique and valuable Jakarta EE and MicroProfile content was presented at EclipseCon Community Day 2022. This post summarizes and shares that content.
When working with user data, both data compliance and data privacy are important. Read more about the differences between data compliance and data privacy.
In this article, we will use the acronym CD to refer to Continuous Deployment, and most of the points discussed are relevant to Continuous Delivery as well.
Explore a few scenarios to use @DynamicUpdate with Spring Data JPA. Different classes of databases are highlighted, including PostgreSQL and YugabyteDB.
Examine the mechanism that enables users of the Milvus vector database to choose the ideal consistency level for various application scenarios flexibly.
Explore who SREs are, what they do, key philosophies shared by successful SRE teams, and how to start migrating your operations teams to the SRE model.
Why do you need Kubernetes observability? Let's understand the three pillars of observability and dive into some challenges in implementing observability.
Now that automation has become a primary goal of enterprise IT — in particular, within IT operations — we should ask the question: How much automation is too much?
Automated Machine Learning, more commonly referred to as AutoML, is machine learning made easier. AutoML uses automatic processing done by given frameworks to make machine learning more accessible to non-machine learning experts.