In this episode of Kongcast, I spoke with Scott Lowe, principal field engineer at Kong, about what a service mesh does and when to use it, among other common mesh-related questions. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

It’s easy to take continuous integration (CI) and continuous delivery/deployment (CD) for granted these days, but these have been transformational concepts that have drastically changed the face of software development over the past thirty years.

While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.

BigQuery is a powerful tool for data analytics and business intelligence, but it isn't very easy to get the most out of it without some help from ETL (extract, transform, load). In this blog post, we'll go over some of the best ETL solutions for BigQuery to help you make sense of your company's data.

When it comes to providing the latest and greatest ETL and ELT tools, the platforms Stitch, Fivetran, and Xplenty are all top contenders. That being said, each platform also has its own set of pros and cons. Ultimately, the best ETL/ELT platform for your company will largely depend upon the needs of your organization. So, which platform will reign supreme for your company in the Stitch vs Fivetran vs Xplenty matchup?

While many events are now returning to live venues, hybrid or virtual conferences will still be important in 2022. This is good news for many application developers, who don’t have to take time off to travel and can enjoy high-quality talks and workshops from the comfort of their own desks.

Coming off of our Snowday event, we’ve unveiled a number of new product capabilities that expand what is possible in the Data Cloud. From helping businesses operate globally with improved replication efficiency, empowering developers with new functionality in Snowpark, and improving the security and governance of data through native object tagging, there is no shortage of exciting advancements coming to Snowflake.

REST and (the newer) GraphQL APIs are the core technologies behind the vast most of today’s integrations. These APIs allow external developers to tap into the functionality of the major platforms and build in their custom functionality to suit their needs. The fundamental difference is that REST is an architectural design framework based on HTTP, while GraphQL is a query syntax that is not transport-dependent.

A guide to understanding the concept behind DevSecOps and how you can inject security into your mobile CI/CD pipeline to deliver more secure mobile applications.

This blog was co-created by Ricardo Ferreira (Elastic) and Viktor Gamov (Kong). We love our microservices, but without a proper observability (O11y) strategy, they can quickly become cold, dark places cluttered with broken or unknown features. O11y is one of those technologies deemed created by causation: the only reason it exists is that other technologies pushed for it. There wouldn’t be need for O11y if, for example, our technologies haven’t gotten so complex across the years.