Systems | Development | Analytics | API | Testing

As we head into 2024, AI continues to evolve at breakneck speed. The adoption of AI in large organizations is no longer a matter of “if,” but “how fast.” Companies have realized that harnessing the power of AI is not only a competitive advantage but also a necessity for staying relevant in today’s dynamic market. In this blog post, we’ll look at AI within the enterprise and outline six key predictions for the coming year.

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Generative AI is bringing a new era of “convenience” with ChatGPT, from OpenAI, taking center stage in our daily lives. From aiding in solving complex problems to generating content, this large language model has become a helpful companion for various testing-related tasks. As generative AI is becoming increasingly present in our daily lives, we should understand how to use it and account for its limitations.

In the previous part of this series about validating data at the boundary of an Elixir application, we covered a few general programming tactics to try and reject invalid and unexpected data in our software. Continuing with that subject, we'll now explore how two libraries, namely Ecto and NimbleOptions, can further assist us. Let's get started!

Ensuring a seamless data experience that complies with regulatory frameworks, particularly in the public sector, is crucial. Research from the U.K. government found as many as 32% of businesses and 24% of charities suffered online breaches or cyberattacks in the last 12 months. In this increasingly interconnected world, national stability depends on thoughtful data governance and safeguarding.

We're excited to share that deploying applications with buildpacks is now available on the Choreo platform. This empowers users to build their applications on the cloud faster and more easily than before.

We are excited to announce the latest minor release of Kuma 2.5.0. We’re in the last stride of publishing this release, but I believe the features we’re landing are important enough to start teasing you about it. Let’s focus on three main features.

In the Kubernetes world, the Ingress API has been the longstanding staple for getting access to your Services from outside your cluster network. Ingress has served us well over the years and can be found present in several dozen different implementations, but as time has passed and Kubernetes has grown it's become clear that there exists a greater need than Ingress is able to deliver.

OpenAI DevDay 2023 is upon us. We're excited by what some of the announcements mean for Continual and will be revealing more about Continual soon. In the meantime, you can watch the livestream and replay here: There's never been a better time to build an AI copilot for your application.

SaaS APIs typically require some kind of authentication to allow access. While there are many ways that APIs can implement authentication, one popular choice is using secret keys as the scheme. Exposing secret keys directly to a client application however can create security risks, so how can client applications based on libraries like React securely access SaaS services? Many APIs, including Ably, offer an additional client-oriented token authentication system.