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How to Use Static Thresholds for Effective Alerts in Splunk Observability Cloud

In this video, we explore the concept of static thresholds, which are a foundational tool in your observability alerting solution. You’ll learn: Additionally, we will demonstrate static thresholds in Splunk Observability Cloud. We’ll configure a static threshold for AWS EC2 memory utilization. We’ll also look at additional threshold settings like trigger sensitivity and duration. By the end of this video, you'll have the knowledge to effectively incorporate static thresholds into your observability strategy.

Observability Insights From KubeCon 2024 - Summary

In this video, I’m breaking down the biggest themes and key takeaways from KubeCon 2024’s observability sessions. From OpenTelemetry’s growing role as the standard for telemetry data to how AI and continuous profiling are shaping the future of proactive, scalable and cost-effective observability. If you missed KubeCon 2024 or want to stay on top of observability trends, this recap will get you up to speed in just a few minutes.

APAC in 2025: A Harder Look at AI, Data and Cybersecurity Standards

This year has been transformative for technology, reshaping the business landscape with groundbreaking advancements and unprecedented challenges. Generative AI continues to unlock new possibilities, while cybersecurity threats have escalated to new heights. Across APAC — a fast-emerging global innovation hub — businesses have grappled with the twin forces of regulatory evolution and technological breakthroughs.

Business Intelligence (BI): What It Means for Your Organization

Data drives the modern business world, and organizations capable of leveraging it effectively maintain a significant edge over their competition. Business Intelligence (BI) has emerged as a critical tool, enabling companies to turn raw data into actionable insights. But what exactly is BI? This blog explores everything you need to know about business intelligence, from its components to use cases, to implementation strategies.

Splunk AppDynamics 24.10 Accelerates Deployment And MTTR

Splunk AppDynamics, now part of the Splunk Observability portfolio, provides critical observability for traditional 3-tier/n-tier applications and helps IT Operations teams quickly discover root causes of issues before end-users even notice. AppDynamics complements Splunk Observability Cloud, which is optimized for observing cloud-native applications by DevOps and engineering teams.

What Are SLMs? Small Language Models, Explained

Large language models (LLMs) are AI models with billions of parameters, trained on vast amounts of data. These models are typically flexible and generalized. The volume and distribution of training data determines what kind of knowledge a large language model can demonstrate. By training these large models on a variety of information from all knowledge domains, these models can perform sufficiently well on all tasks.

What Is Cloud Infrastructure?

We all know that testing new ideas on physical IT infrastructure requires a massive upfront cost. That's why businesses adopt cloud infrastructure setups. These setups offer on-demand resources, which allow you to start new projects and pay for only what you use. This eliminates the need for expensive hardware and maintenance, enabling flexibility that organizations require.

Indicators of Compromise (IoCs): An Introductory Guide

To confirm cyberattack occurrences and build or enhance cyber-defense strategies, threat intelligence teams use a lot of information, including Indicators of Compromise (IoCs). These IoCs are actually forensic data that are critical in: The relevance of IoCs cannot be downplayed, but they're not all that’s needed in building an effective cybersecurity strategy. In this article, we’ll explore indicators of compromise, their types, and their relevance to threat intelligence teams.

Introduction to the OpenTelemetry Sum Connector

When you have a piece of data tucked into your logs or span tags, how do you dig for that bounty of insight today? Commonly this sort of data will be numeric, like a purchase total or number of units. Wouldn’t it be nice to easily turn that data into a metric timeseries? The Sum Connector in OpenTelemetry does just that, allowing you to create sums from attributes attached to logs, spans, span events, and even data points!