Operations | Monitoring | ITSM | DevOps | Cloud

Join operator and Query Agent for smarter log analysis

Sumo Logic’s log analytics capabilities have always provided the greatest insights to help you secure, monitor and troubleshoot your environment. Now, with our Query Agent, as part of Dojo AI, creating optimized log searches with natural language is even easier. Query Agent works with a wide variety of operators, including the join operator, for parsing, aggregation, data transformation, filtering, advanced analysis and lookup.

Ep 37: Robbing banks is now a work from home job

In this episode of Masters of Data, we explore how banks and fintech companies have traded friendly neighborhood tellers for data-driven, always-on digital fortresses. We unpack everything from sophisticated phishing schemes and viral TikTok check fraud trends to the AI-powered tools that now handle the fraud detection Shirley the bank teller used to manage through sheer familiarity. We make the case that financial institutions today face more pressure than ever to be trustworthy, secure, and seamless all at once, whether their customers are logging into a sleek app or calling a landline to pay two bills a month.

How to deploy PostgresSQL on Kubernetes

Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications, abstracting many of the manual steps of rolling upgrades and scaling. When building cloud-native applications in a Kubernetes environment, you’ll often need to deploy database applications like a PostgreSQL database so that your applications can leverage their features within the cluster.

Ep 36: Do not resuscitate: Legacy tech in modern medicine

In this episode of Masters of Data, we dig into the cybersecurity nightmare that is modern healthcare IT, from ransomware attacks shutting down entire hospitals to IoT medical devices running software older than some of our passwords. We explore why healthcare organizations make such attractive targets for cybercriminals, and why the combination of life-or-death stakes, skeleton-crew security teams, and Windows-95-era equipment is a recipe for chaos.

Claude Code is running bash commands on your infrastructure. Here's how to watch it.

I’ve been staring at Claude Code telemetry for the past few weeks, and I keep noticing the same thing: most teams drop it into their environment, say “it’s amazing,” and have absolutely no idea what it’s actually doing at the system level. That’s fine for a personal dev tool. It’s not fine when you’ve rolled it out to 50 engineers.

The architecture advantage: Why the data layer decides the AI race

Dozens of startups are sprinting to build the next “agentic SIEM” that can autonomously detect, investigate, and respond to threats. They’re well-funded, well-marketed, but structurally hollow. Here’s what it usually looks like: an LLM layer on top of a thin orchestration engine on top of fragmented or customer-hosted data lakes. While it looks impressive in a demo, it quickly falls apart in production. Why? It’s not built on a strong foundation.

Skills vs. MCP: You're probably reaching for the wrong one

Everyone is adding Model Context Protocol (MCP) servers to everything right now. And I get it. MCP is clean. It’s standardized. You write a server, expose some tools, and suddenly your LLM can query your log platform, pull a dashboard, and fire an alert. It feels like the right abstraction. But I’ve watched teams at serious companies burn weeks building MCP integrations for workflows that should have been skills, and build skills for things that genuinely needed MCP.