As software got more complex, more and more software projects rely on API integrations to run. Some of the most common API use cases involve pulling in external data that’s crucial to the function of your application. This includes weather data, financial data, or even syncing with another service your customer wants to share data with. However, the risk with API development lies in the interaction with code you didn’t write—and usually cannot see—that needs debugging.

We’re excited to announce that our Configuration API and Terraform Provider are now generally available for all LogDNA customers. We received tremendous feedback from our public beta release and, based on that feedback, we are enabling several new features with the GA release that allow for more programmatic workflows with LogDNA. First, we are enabling Preset Alerts as a new resource that can be configured with the configuration API as well as within Terraform.

Kubeflow is the open-source machine learning toolkit on top of Kubernetes. Kubeflow translates steps in your data science workflow into Kubernetes jobs, providing the cloud-native interface for your ML libraries, frameworks, pipelines and notebooks. Read more about Kubeflow

Industry 4.0 is taking every industry by storm with unprecedented advancement with innovative technology solutions. Its key technologies such as automation, AI, ML, Data Analytics and IoT enables industries to drive business operations with automated data-driven intelligence. Integrating the physical and digital systems, the manufacturing industry is increasingly adopting intelligent manufacturing in this Industry 4.0 era.

I’ve recently been talking to some of the users of our eG Enterprise monitoring solution and its AIOps-powered root cause analysis platform. Multiple users have mentioned how the usability of the solution has been enhanced considerably by the availability of rich featured mobile apps for iOS and Android platforms.

The 2010 Stuxnet malicious software attack on a uranium enrichment plant in Iran had all the twists and turns of a spy thriller. The plant was air gapped (not connected to the internet) so it couldn’t be targeted directly by an outsider. Instead, the attackers infected five of the plant’s partner organizations, hoping that an engineer from one of them would unknowingly introduce the malware to the network via a thumb drive.

Gamers are not shy about reaching into their wallets for premium content and features. They also won’t hesitate to tap the uninstall button at the first sign of trouble. It’s not uncommon for a gamer to boot up a hotly anticipated new game or revisit an old favorite only to put it down days or weeks later. The culprit is often gaming monetization issues that get in the way of what would otherwise be a long-term rewarding gaming experience.

Building successful machine learning (ML) production systems requires a specialized re-interpretation of the traditional DevOps culture and methodologies. MLOps, short for machine learning operations, is a relatively new engineering discipline and a set of practices meant to improve the collaboration and communication between the various roles and teams that together manage the end-to-end lifecycle of machine learning projects.

Globally the impact of AI is increasingly growing year on year in every industry sector. Opening new scopes in construction & architecture sector, the global AImarket is estimated to grow at a CAGR of 29.4% (around) from 2019 to 2026 and is expected to reach around US$ 2.1 Billion by 2026.

Hyper automation and the transformation of 5G networks was top of mind on a recent Conversations in the Cloud podcast sponsored by Intel that featured Robin.io’s Co-founder and CEO Partha Seetala.