Operations | Monitoring | ITSM | DevOps | Cloud

We speak to engineering teams every day, and everybody knows AI is the future. Some tell us they’re massively accelerated by Claude, or that they’re rebuilding their product, team and ways of working. Cursor and Lovable have announced they’re building the last piece of software. Should we give in to the vibes? Embrace exponentials, and forget that the code even exists? The reality is that things will still go wrong. They always do, at least from time to time.

Software for Open Networking in the Cloud (SONiC) is an open-source network operating system that has revolutionized data center networking. Originating as a Microsoft-led initiative in the Open Compute Project (OCP) in 2016, SONiC has rapidly gained traction among hyperscalers and switch hardware vendors, including Broadcom, Cisco, and NVIDIA. By building its services using containerized microservices, SONiC brings flexibility, scalability, and modularity to network infrastructure.

Artificial intelligence (AI) is revolutionizing the way we address real-world challenges, from fraud detection and customer service optimization to groundbreaking healthcare research and treatment. At the core of these advancements lies robust data center infrastructure.

The pace of software development has changed. With AI coding assistants now embedded into engineering workflows, developers are building faster, shipping sooner, and writing more code than ever before. But as velocity increases, so does the complexity of keeping that code running. When builds fail, developers need answers fast. They need clarity, context, and actionable feedback right where they’re working.

Delivering reliable software is like trying to hit a moving target. As a DevOps professional, you're constantly balancing speed and stability, all while user expectations grow and technology landscapes shift. Without proper feedback mechanisms, you're essentially flying blind. The good news? DevOps feedback loops provide the visibility and insights needed to navigate this complex environment. They are the fundamental building blocks that enable continuous improvement in software delivery and operations.

If you provide services such as live streaming, social media networking, and analytics, you need a robust platform to speed up your read/write operations per second. Caching reduces latency by storing frequently accessed objects in faster memory (RAM or in-memory data stores instead of slower disk-based storage). Amazon ElastiCache is a managed, in-memory data store and caching service in one.

Monitoring your Kubernetes clusters is critical for maintaining reliable applications. But with so many metrics to track and tools to choose from, setting up effective monitoring can feel overwhelming. The Cloud Native Computing Foundation (CNCF) highlights record Kubernetes adoption, underscoring the growing need for robust monitoring solutions. Search for "Kubernetes monitoring" and you'll find a sea of contradicting information, countless tools, and complex setups.

This quote resonates deeply when considering the pendulum swings in technology. We’ve seen boom-and-bust cycles with various trends, from blockchain to AI. Some trends have more staying power than others, but the pendulum swings one way, only to swing back—sometimes with a vengeance, correcting the overreach of the previous swing. One of the most significant pendulum swings of the last few decades was the shift to cloud computing.

System outages cost businesses an average of $5,600 per minute, according to Gartner. That's over $300,000 per hour of downtime. But beyond the financial impact, downtime destroys customer trust, damages your reputation, and creates a backlog of urgent work for your already busy technical teams. The key to minimizing downtime? A robust DevOps alert management system that notifies you of issues before they become full-blown disasters.