Operations | Monitoring | ITSM | DevOps | Cloud

Set up Splunk AI Assistant for SPL in Enterprise environments with Cloud Connected Integration

Unlock the power of the Splunk AI Assistant for SPL in your enterprise environment! In this quick tutorial, we'll walk you through the entire process, from downloading the app on Splunkbase, accepting the license agreement, and installing it in your environment, to completing the cloud-connected configuration which now allows you to use the AI Assistant in even more environments!

The Journey to Zero Ticket IT with Agentic Automation

See how RITA, Resolve’s intelligent AI agent, instantly resolves IT issues before they become tickets. In this live demo, you'll get a front-row seat to how RITA automates routine service desk requests, helps technicians troubleshoot faster, and brings the Zero Ticket IT vision to life. Hosted by Ian Coppock and demoed by Derek Pascarella, this is automation in action.

95% of AI Pilots Fail - Here's How to Be the 5%

When MIT released research showing that 95% of enterprise AI pilots fail to deliver measurable business impact, it made headlines for a reason. After years of heavy investment in artificial intelligence, the vast majority of organizations still haven’t moved beyond pilots that promise much but deliver little. This doesn’t mean AI itself is broken. In most cases, the technology performs as intended.

DeepSeek Pricing: Models, How It Works, And Saving Tips

Some teams won’t touch DeepSeek because it’s Chinese. Others are quietly running pilots and rethinking how much reasoning and context they actually need, or can afford. For SaaS teams staring down runaway AI costs, DeepSeek’s mix of open-source freedom, massive context windows, and token rates 10–30X cheaper than OpenAI or Anthropic is tough to ignore. However, DeepSeek pricing comes with cache hits, cache misses, off-peak discounts, that September pricing shift, and more.

AI Is Reshaping SEO and UX-Here's How to Stay Ahead

AI isn't just changing how we write content. It's changing how that content gets found, read, and used. For teams managing digital operations, it's no longer enough to optimize for algorithms in a traditional sense. Today, your site has to serve both search engines and AI models. That means rethinking everything from content structure to user experience design. At Composite Global, we work with growth-stage startups and enterprise brands navigating this shift in real time. Here's what we're seeing and how you can adapt.

The Technology Driving Fractional and Frictionless Property Investment

Real estate has long been viewed as a cornerstone of wealth creation; however, traditional investment methods often come with hurdles such as high capital requirements and market inaccessibility. Technological advancements are revolutionizing how individuals invest in property, offering innovative solutions that democratize access to real estate assets. This shift empowers more investors and reshapes the nature of property ownership and investment strategies.

FinOps For Claude: Your Strategy For Managing Claude API And Anthropic Costs At Scale

Anthropic’s Claude is one of the most powerful and developer-friendly large language models (LLMs) available. But as usage grows, so does cost. Here’s the reality: A single unoptimized development loop or unmonitored QA job can multiply costs 10x overnight. Most teams experimenting with Claude lack the visibility and guardrails needed to prevent runaway costs, especially once usage moves from R&D into production.

The core KPIs of LLM performance (and how to track them)

A few months ago, I built an MCP server for Toronto’s Open Data portal so an agent could fetch datasets relevant to a user’s question. I threw the first version together, skimmed the code, and everything looked fine. Then I asked Claude: “What are all the traffic-related data sources for the city of Toronto?” The tool call fired. I got relevant results. And then I hit an error: “Conversation is too long, please start a new conversation.” I had only asked one question.

How to get fast, easy insights with the Gremlin MCP Server

Chaos Engineering and reliability testing give you visibility into the actual reliability of your services by simulating real-world failure conditions. But what if you could dig into the testing and results data using AI to quickly uncover new insights? That’s the logic behind the Gremlin MCP Server. Released as part of Reliability Intelligence, the Gremlin MCP Server allows you to bring your LLM of choice to explore your Gremlin data and find opportunities to get more out of Gremlin.