Another KubeCon has passed! Now that we have all (hopefully) recovered from the week in Paris with good food, wine, and catching up with colleagues, let’s talk about the important topics that took center stage at KubeCon EU 2024 this year. As we celebrate the 10th anniversary of the initial Kubernetes release, it’s evident that the growth and positive impact of containerized computing have revolutionized the industry.

Many businesses operating in the cloud are looking for ways to reduce cloud costs, and enterprises using Google Cloud are no exception. One of the pricing models Google Cloud is offering to users is Committed Use Discounts (CUDs). This pricing model allows customers to commit either to a minimum amount of resource usage or to a minimum amount of spend for a specified term of one or three years. In return for this commitment, customers receive significant discounts compared to on-demand pricing.

Companies obsess over end user experience, whether it is Amazon’s customer-centric innovation or Steve Jobs suggesting starting with the customer experience and working backwards to technology. But as our world becomes more knowledge-based and digital, we also need to consider the most important stakeholder on the payroll - software engineers.

Learn about the benefits, drawbacks, and key use cases for our top 5 API mocking tools: Postman, MockServer, GoMock, MockAPI, and Speedscale.

The collaboration between development (Dev) and operations (Ops) teams is crucial for delivering high-quality software products and services efficiently. DevOps has emerged as a transformative approach that bridges the gap between these two traditionally siloed functions, fostering a culture of collaboration, automation, and continuous improvement.

The IT landscape is currently evolving faster than ever before, and the move to cloud-based solutions has emerged as a game-changer for businesses looking to future proof their infrastructure. However, the move to cloud solutions is not always straightforward and comes with challenges due to changes in management access.

Backstage is gaining wide adoption for platform engineering teams looking to build internal development platforms. After implementing Backstage, data has shown an improvement in 2X of code changes, and a decrease of 17% in cycle time making a huge impact on the business delivery pipeline for organizations. Backstage with its rich plugin ecosystem, makes it possible to get full troubleshooting and security coverage you need across your entire pipeline in a single dashboard and interface.

This is part four of seven in our Frugal Architect blog series. Read the rest of the series here. In case you weren’t as giddy as CloudZero was at re:Invent this past year, we wanted to recount the seven laws outlined by Werner Vogels, Amazon’s CTO, which he’s bundled into a framework called “The Frugal Architect” (check out the whole framework here). What is “The Frugal Architect”?

The wins just keep coming! Today we celebrate fresh evidence of the mark we're making in the industry.

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).