Operations | Monitoring | ITSM | DevOps | Cloud

Artificial Intelligence (AI) has rapidly become a cornerstone of modern IT operations. Yet, despite its transformative potential, many IT professionals harbor apprehensions about integrating AI into their workflows. This growing AI fear, while understandable, often stems from misconceptions and a lack of clarity about AI's role and capabilities. This discussion aims to address and debunk common fears associated with agentic AI.

When Checkly launched, it was the first of its kind, enabling developers to monitor complex workflows easier than ever using the automation tooling (Playwright, Terraform, etc) they already knew and loved. We’ve helped detect and resolve issues for 1000s of companies—ranging from monitoring crucial log-ins, to purchasing products, to setting up client instances for millions of monthly users But what about the simpler stuff?

In cybersecurity, defense-in-depth is a fundamental principle – you never rely on a single security measure to protect your systems. The same philosophy applies to application monitoring. No single monitoring approach, no matter how sophisticated, can capture every possible failure mode of your application. This is why layered monitoring isn't just a best practice – it's essential risk mitigation.

Writing code is easier than ever. We want to make deleting code just as easy – introducing Reaper for iOS and Android. Reaper was an Emerge Tools product that helped companies like Duolingo delete 1% of their iOS codebase. And just like with Emerge Tools’ Launch Booster, we’re making Reaper open-source for anyone to use. In this post, we’ll explain what Reaper is, why you should care about dead code, and how Reaper works on both platforms.

GoodRx, a digital healthcare platform, has released the Lifecycle project as open-source code. Lifecycle is a complete solution for temporary/ephemeral environments. The project’s build process includes built-in support for Codefresh pipelines.

June 12 started like any other Wednesday–until the internet broke. It started with Google Cloud’s Identity and Access Management (IAM) system, but the fallout hit everything built on top of it. Widespread service degradation swept across core Google products and third-party platforms. Gmail, Docs, Meet, and Chat went dark. Cloudflare services were unavailable. Developer and AI tools faltered.

As companies adopt more artificial intelligence (AI) to stay competitive and simplify operations, they’re hitting a snag they’ve seen plenty of times before: complexity. Those user-friendly chatbots and impressive predictive models aren’t magic—they run on powerful GPUs like NVIDIA’s and rely on cloud services such as Azure OpenAI or Amazon SageMaker.