Operations | Monitoring | ITSM | DevOps | Cloud

You want fewer incidents, happier users, and one policy to rule them all—without living in twelve dashboards. Cisco Security Cloud brings the controls together; C1 Managed Services keeps them humming so your team can stop firefighting and start delivering.

One of the best parts of my job is helping Cycle users explore self-hosting options on the platform. This time, I had the pleasure of working with Dgraph (now a part of Hypermode). If you haven't heard of it, Dgraph is a distributed, horizontally scalable graph database that gives you a native graph storage/compute engine with distributed ACID transactions (via Raft and snapshot isolation) and first-class GraphQL.

In 2026, application performance isn’t just a technical metric—it’s a business-critical factor. As organizations move deeper into cloud-native architectures, distributed systems, and AI-driven workflows, ensuring speed, reliability, and uptime has become non-negotiable. According to Gartner, by 2026 more than 70% of new APM implementations will be cloud-native, and businesses that leverage advanced observability platforms are expected to reduce downtime by up to 60%.

Whether it’s a stalled Log Reader Agent, a conflicting insert on the subscriber, or a failed cleanup job bloating the distribution database, Redgate Monitor now brings SQL Server replication issues to light early, before performance or reliability are affected. In many SQL Server environments, replication remains essential for offloading reporting and analytics workloads, or for maintaining local and synchronized data copies across regions.

This is the next installment of the series on building a database and an application called dbRosetta using AI/LLM. Part 1 introduces the concept. THE AI PICKED DATABASE FIRST! Look, I talk databases at this thing a lot, so it probably knows my own preference, but when I asked it, it chose to build a database separate from the code. Let’s get into it.

When you're shipping LLM features, a lot of the work goes into keeping the model's behavior predictable. You deal with questions like: These are everyday concerns when you integrate LLMs into production systems. Guardrails AI provides a Python framework that helps you enforce those expectations. You define the schema or constraints you need, and the framework validates both the inputs going into the model and the outputs coming back.

Last month was certainly eventful. (If you use AWS or Azure, you probably already know what we’re talking about). But in case you missed it, here are the must-see headlines from October 2025.

I benchmarked EBS and S3 Express One Zone across EC2 and EKS setups to settle a question we kept hearing from customers: “What’s the best temp storage for ML pipelines?” The short answer: Here’s the full story and why it matters to your ML pipelines.

A war room is a dedicated space where a cross-functional team gathers to handle critical incidents. While the term once implied a literal room filled with maps and consoles, today many war rooms live online with video links, shared dashboards, and collaboration tools.

Let’s be honest—the cybersecurity battlefield keeps changing fast. Attackers evolve their tactics, networks expand, and data flows in every direction. If you’re responsible for protecting your organization’s security, staying ahead of cyber threats can feel like chasing shadows. This is where effective cybersecurity monitoring comes in.