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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Cycle July Recap and August Preview

July has been an exciting month for us here at Cycle! We've had our heads down, and have made significant advancements and launched a number of new features aimed at enhancing the overall experience for our users. As we transition into August, we're thrilled to share what we've accomplished during the month of July, and what lies ahead for the platform.

Comparing Generative AI Offerings From Major Cloud Providers

In the last two years, generative AI offerings have exploded in the cloud space (and everywhere else). Major Cloud Service Providers (CSPs) are perfectly positioned to lead these efforts thanks to the fact that they offer the very resources they require to build these models, and their customers are naturally early adopters and heavy users of AI.

Harnessing the Power of Automation and Orchestration in Retail: 4 Key Use Cases

In today’s rapidly-evolving retail landscape, automation and orchestration have become pivotal in driving efficiency and innovation. The retail sector, especially during and post-COVID-19, has undergone a massive transformation. With technological advancements over the past five years surpassing those of the previous 25, retailers are leveraging automation to streamline operations and enhance customer experiences.

Optimizing Incident Management: Effective Stakeholder Communication with Squadcast

When a critical system goes down, every minute counts. Amid the chaos, it's easy to overlook a crucial aspect of Incident Management: keeping stakeholders informed. However, neglecting stakeholder communication can have disastrous consequences, including misinformation, delayed decisions, and frustration. Effective stakeholder communication is essential for ensuring a coordinated, efficient, and transparent response to incidents.

Securing and Configuring AI Environments: AI in Operations

The artificial intelligence (AI) revolution is here. If you’ve been following the meteoric rise of companies like NVIDIA, you understand that the AI revolution isn’t just a passing hype cycle. To train complex models like Large Language Models (LLMs), organizations are turning back the dial to private data centers and high-performance computing (HPC) infrastructure — which requires thousands of servers all working in harmony.