Operations | Monitoring | ITSM | DevOps | Cloud

Real-Time Alerting for AI-Optimized Data Centers

Kentik transforms real-time network telemetry into actionable alerts for AI-optimized data centers. By converting database queries into custom alerts, engineers can detect issues like elephant flows, idle links, and packet loss before performance suffers and triggers alerts in systems like ServiceNow or PagerDuty.

How to Build Resilient Networks for AI Production Workloads

Production AI needs a network that can keep up. Learn why private, scalable connectivity is the key in our webinar recap with Vultr. AI is no longer a proof-of-concept hiding in a developer lab. It’s a full-fledged production workload, and it’s hungry for data. But as enterprises move their AI strategies from theory to reality, they’re hitting a wall that isn’t about algorithms or processing power – it’s about the network.

Introducing Coralogix's MCP Server: Helping customers build smarter AI agents

Now available: Secure, real-time access to your observability data via Coralogix’s Model Context Protocol (MCP) Server. AI agents are only as powerful as the context they’re given. Today, we’re excited to announce the launch of the Coralogix MCP Server, which enables third-party AI agents to connect directly to your observability data across production, staging, and other environments.

Climbing the Security Pyramid: From Awareness to Automation with AI and Observability

Modern threats don't wait. They move fast, hide deep, and often strike without warning. That's why old-school security isn't enough anymore. You need more than firewalls and login rules. You need layers. You need clarity. And most of all, you need speed. This is where the security pyramid comes in. It shows how smart security stacks-from the ground up. It starts with awareness and ends with advanced tools like automation and AI. In this article, we'll break it down step by step-and show how observability and automation help you climb it.

Key Advantages of Integrating AI Into Everyday Processes

Artificial intelligence isn't just a futuristic concept, it's actively transforming how we work, think, and solve problems today. From startups to global enterprises, businesses are realizing that integrating AI into daily operations can deliver powerful, tangible benefits. For every $1 organizations invest in generative AI, they're seeing an average return of $3.70.

Grok 4 Sets Records - But I'm Focused on Microsoft's 9% Sales Growth

The recent launch of Grok 4 has set the AI community buzzing. With an impressive score of 73 on TLDR’s AI benchmark, Grok 4 edges ahead of OpenAI’s O3 and Google’s Gemini 2.5 Pro, both scoring 70. Elon and the X AI team deserve praise for this breakthrough, reinforcing Grok 4’s status as potentially the most powerful LLM yet.

The Three Constraints Of AI Adoption: Code, Servers, And Wallets

Earlier this year, OpenAI’s CEO Sam Altman admitted something that should make every engineering leader pause: they’re “currently losing money” on ChatGPT Pro subscriptions, which run $200 per month. Let that sink in. A company charging two hundred dollars a month for AI access — 10 times what most SaaS products dare to ask — is still bleeding cash on every user. This isn’t a pricing problem. It’s a physics problem.

Generating end-to-end tests with AI and Playwright MCP

When I started using Playwright, there was a single command that blew me away. I immediately became (and still am) a huge Playwright Codegen fanboy. Playwright's codegen command opens up a browser window, and whatever you do in this window will be recorded. Navigating URLs, clicking links, and filling out form elements—the Playwright inspector records all your actions and generates a Playwright test for you. Magic!

The Ethics of AI in Business and Content Creation

As AI tools become everyday instruments in business and content creation, the ethics surrounding their use can no longer be ignored. From authorship and originality to bias and transparency, ethical concerns must be addressed head-on to ensure trust and integrity in the digital age. In this article, we explore the ethical dimensions of AI in business and content creation-and what responsible use looks like in 2025.

Deploying secure AI: Canonical + SpectroCloud for federal missions

As mission requirements evolve, federal agencies and defense teams need infrastructure supporting AI/ML workloads anywhere, from secure cloud environments to disconnected edge locations. In this fireside chat, Mark Lewis (VP, Application Services at Canonical) and William Crum (Senior Defense Success Engineer at SpectroCloud) discuss how their organizations are helping federal customers deploy secure, scalable, and consistent Kubernetes and AI infrastructure across hybrid and edge environments.