Operations | Monitoring | ITSM | DevOps | Cloud

Today the Checkly CLI is generally available. Together with its companion — the new test sessions screen (in beta) — this marks a big milestone for us at Checkly and our users. We already talked about monitoring as code and the CLI during its alpha and beta testing phases but here is a short recap. With the Checkly CLI you have the most powerful monitoring as code workflow at your fingertips.

A core belief of Memfault is that we can ship faster when we have good infrastructure in place. An essential piece of this infrastructure is tools to send firmware updates over the air. It enables the team to ship more often and spend more time building features. In this article, we look specifically at what is required to ship over-the-air firmware updates for Linux systems. A good OTA setup should allow you to quickly prepare updates and ship them with confidence.

Third-party APIs and cloud based software as a service (SaaS) tools have become a cornerstone of modern enterprises. It is essential to monitor log data and optimize API performance. This will ensure that development teams provide the desired advantages to clients and users. To address this challenge, businesses can use an observability pipeline. It is a set of tools and processes that monitor and analyze data from various sources. That includes third-party APIs and SaaS tools.

Banks are facing stiff competition from FinTech firms. When most people think of this head-to-head battle, they likely assume that the differentiator is technology. The banks have legacy solutions, while the FinTech firms have newer innovations. While this framing is accurate, it does not give the full picture. FinTech firms are not only turning to new technology for the sake of new technology – they are doing so in service of what matters the most in their industry: customer service.

Seems like everyone is building a ChatGPT thing right now, doesn’t it? Well we are too! Inspired by so many others, we decided to see what AI could do with our simplified analytics and observability data. Turns out, it can do quite a lot. I’m thrilled to share that we’ve shipped our first AI insights chatbot, Professor Sloth.

Digital code behind a digitized face Welcome back to our series with Nicholas Wegman, Ph.D., Senior Director of Artificial Intelligence and Alex Barnes, Senior Director of Product Management, as they continue to discuss the science behind Artificial Intelligence (AI) and reveal how it can specifically increase retail/CPG margin. In the second part of our three-part series, we’ll delve deeper into the data science of AI, and why it’s not working for every business.

A look at the main things you need to consider when planning your IoT project with links to tutorials and source code. There’s a lot of stuff written about the Internet of Things (IoT) at a conceptual level that doesn’t really cover anything concrete. If you’ve ever wanted to get started on a real IoT project but didn’t know where to start, you are in the right place.

With over 2.5 billion users, Android enjoys a dominant 85% market share in the mobile operating space. It does have one glaring weakness however: enterprise. Most businesses still favor iOS, the operating system of Apple devices like the iPhone and iPad. As part of Google’s bid to secure more of the enterprise market, Android Enterprise is a software platform that provides application programming interfaces (APIs) to developers who build MDM solutions.

Generative artificial intelligence (AI) is defining 2023. Numerous tech companies, including OpenAI and Google, have put out large language models (LLM) that can be used by consumers directly, or integrated into other products via an application programming interface (API). Many companies are rushing to include generative AI into new or existing products. Some are even doing so in customer touchpoints, such as digital kiosks.