Operations | Monitoring | ITSM | DevOps | Cloud

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How our data team handles incidents

Historically, data teams have not been closely involved in the incident management process (at least, not in the traditional “get woken up at 2AM by a SEV0” sense). But with a growing involvement of data (and therefore data teams) in core business processes, decision making, and user-facing products, data-related incidents are increasingly common, and more important than ever.

Make Smarter AI Apps with RAG with Joey DeVilla

Join @JoeyDeVilla as he explores retrieval augmented generation (RAG). Learn how this AI technique combines machine learning models with external information retrieval to enhance accuracy. Using a Jupyter notebook and Star Wars characters, Joey explains RAG's principles and demonstrates live coding examples with LangChain and OpenAI. Get hands-on insights into solving hallucinations and outdated information issues with RAG.

Leveraging AI for Efficient On-call Scheduling

Regardless of industry specifications, creating and maintaining a highly functional incident management process is crucial for organizations of all sizes. The various potential applications of Generative AI in this process can significantly enhance the efficiency, accuracy, and speed of incident detection, analysis, and resolution. GenAI can be utilized across all stages of the incident management process, including preparation, response, communication, and learning.

How Network Observability Helps Lay the Foundation of Autonomous IT Operations

We often hear the term "observability" in the context of DevOps and how SREs use telemetry data. Collecting and analyzing this telemetry data is a vital first step to a successful autonomous IT operations strategy. Observability can help you find out about problems in your system you didn’t know you had—and before your users are impacted—by giving you new visibility that your monitoring systems don’t provide. But any observability initiative must also include network observability.

Kubernetes 1.31 - What's new?

Kubernetes 1.31 brings a plethora of enhancements, including 37 line items tracked as ‘Graduating’ in this release. From these, 11 enhancements are graduating to stable, including the highly anticipated AppArmor support for Kubernetes, which includes the ability to specify an AppArmor profile for a container or pod in the API, and have that profile applied by the container runtime.

Why Your Telemetry(Observability) Pipelines Need to be Responsive

At Mezmo, we consider Understand, Optimize, and Respond, the three tenets that help control telemetry data and maximize the value derived from it. We have previously discussed data Understanding and Optimization in depth. This blog discusses the need for responsive pipelines and what it takes to design them.

Don't Buy the Hype: The GenAI Power You Already Have

Your database is more powerful than you think. Learn how built-in vector capabilities can power your GenAI applications and save you from the hassle of adopting a new database. The heart of Generative AI (GenAI) workloads rely on the ability of computers to categorize and understand the world's data (images, sounds, text) as numerical representations called vectors. This is achieved through a process called "embedding," where a model translates the data into vectors.

Optimize Your ESM Workflows with Automation

Sick of the lost time outmoded workflows cause your IT team? Automation is the secret weapon you've been waiting for to streamline manual processes, free your IT staff and dramatically improve service quality across your organization. Join our live webinar moderated by Ivanti’s Phil Bowermaster and featuring real-world success stories from SCI's Jesse Miller and NCC Group's James Wooltorton — who’ll explain how you can optimize your workflows and take your ESM strategy to new heights.

Kubernetes Monitoring Demo: How to Lower Costs and Improve Fleet Efficiency | Grafana

The Kubernetes Monitoring app in Grafana Cloud helps you visualize infrastructure costs across providers, identify unallocated and idle resources, and visualize and optimize Kubernetes resources. In this video, Vijay Tolani shows how to lower costs and improve fleet efficiency with the Kubernetes Monitoring app in Grafana Cloud.