Operations | Monitoring | ITSM | DevOps | Cloud

AI

Get granular LLM observability by instrumenting your LLM chains

The proliferation of managed LLM services like OpenAI, Amazon Bedrock, and Anthropic have introduced a wealth of possibilities for generative AI applications. Application engineers are increasingly creating chain-based architectures and using prompt engineering techniques to build LLM applications for their specific use cases.

Predictive Analytics Pipelines: Real-World AI, Predictive Maintenance, and Time Series Data

There’s so much talk about AI these days that it seems we quickly forget that AI isn’t a single type of technology. It’s a category, almost an umbrella term for a wide range of different technologies, applications, and approaches. The terms “Generative AI” and “Machine Learning AI” (often referred to as “Real-World AI”) describe two different branches that fall under the broader AI heading.

Building and Scaling AI in the Cloud: Overcoming Operational Challenges with Kubernetes and FinOps

The rapid rise of generative AI and large language models is revolutionizing industries and transforming how we interact with technology. However, developing and deploying these cutting-edge AI models and applications at scale in the cloud comes with a unique set of operational challenges. In this article, we’ll explore the key pain points teams face when building generative AI and how Kubernetes and FinOps practices can help overcome them.

AI As It Stands: Unpacking IT Trends at SolarWinds Day

The SolarWinds IT Trends Report 2024 – AI: Friend or Foe? indicated tension in the IT industry’s outlook on artificial intelligence (AI). While there is excitement about its potential to drive productivity, concerns linger around data quality, security, and regulation. At the recent SolarWinds Day event, I sat down with Krishna Sai, Senior Vice President of Engineering, and Cullen Childress, Senior Vice President of Product Management.

The Role of Marketing Automation in Streamlining Business Operations

Marketing, a cornerstone of business success, is a constantly evolving field. Embracing automation through integration or Artificial Intelligence (AI) technology and other digital tools can give your organization a competitive edge. In the world of digital technology, the consistently increasing number of marketing channels may be challenging. Automation is a solution for this challenge because it helps streamline various aspects of operations, from lead generation to customer management.

How is Technology Impacting the Healthcare Industry

Before AI-based healthcare technology, healthcare was often slow and limited. Doctors relied mostly on their own knowledge and simple tools. Patients had to wait a long time for appointments and test results. Keeping track of medical records meant stacks of paper files. Today, AI-based healthcare tech is changing everything. Smart machines help doctors spot diseases faster and more accurately. Patients can talk to healthcare providers through their phones or computers. Robots even assist in complex surgeries.

2.5X faster and 88% cheaper error resolution with GPT-4o mini and Raygun

In May, GPT-4o was released, refining the GPT-4 architecture with native multi-modal input support, faster speeds, and a cheaper price per token. This week, with the release of GPT-4o mini, it’s even more cost-effective and quicker. This model is considered better than GPT-3.5 Turbo, being faster and smarter—a win all around. Let’s put it to the test in a real-world application to see just how good it is for software developers.

Securing the Foundation of Cribl Copilot

Integrations are the bread and butter of building vendor-agnostic software here at Cribl. The more connections we provide, the more choice and control customers have over their unique data strategy. Securing these integrations has challenges, but a new class of integrations is creating new challenges and testing existing playbooks: large language models. In this blog, we are going to explore why these integrations matter, investigate an example integration, and build a strategy to secure it.