Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

SolarWinds Day | AI: Friend or Foe?

We have entered the age of artificial intelligence. AI and machine learning promise to transform numerous domains in the coming years. And while there are plenty of reasons to be excited, no shift this significant comes without potential pitfalls. Understanding these challenges begins with an open dialogue. This SolarWinds Day, we’re scouting ahead to map the future of AI in IT. In fireside chats with industry leaders, we’ll explore strategies for optimizing how your organization uses AI and identify the risks of this new technology—before they impact your organization.

Resilience Talks with Orange Business: Counting the Cost of Downtime

Disruption in business is inevitable. In partnership with Oxford Economics, Splunk quantified the total cost of downtime for the Global 2000 to be $400 billion per year. But that’s only the tip of the iceberg. Our latest research revealed that hidden costs may deal an even larger economic blow to companies.

Introducing Custom Attributes

At BugSplat, we’re constantly striving to enhance our platform to meet the evolving needs of our users. We’re excited to introduce our latest feature: Custom Attributes. This powerful addition allows developers to attach any number of custom attributes to crash reports, making BugSplat more customizable to your individual use case and enabling deeper integration with your projects.

The Five Challenges to Monitoring AI Data Fabric

As AI continues to evolve, it brings about a paradigm shift in how businesses handle data. The AI data fabric, a critical component of this transformation, acts as a cohesive layer that integrates data from various sources, facilitating seamless data access and management. However, monitoring this intricate system presents a unique set of challenges for business and IT leaders. Understanding these challenges is paramount to leveraging the full potential of AI data fabrics. Want to learn more?

Data Privacy Takeaways from Gartner Security & Risk Summit

A couple of weeks back, I had the opportunity to participate in the Gartner Security and Risk Summit held in National Harbor, MD. While my colleague, April Yep, has already shared insights on the sessions she attended, this blog will delve into the emerging data privacy concerns and explore how telemetry pipelines can effectively tackle these challenges. Two key drivers behind current privacy concerns are the adoption of Gen AI and increasing government regulations.

Unlocking the Power of OpenSearch Alerting

OpenSearch Alerting enables you to manage and respond to critical events and anomalies quickly in your OpenSearch environment, making it crucial for maintaining the health and performance of your system. With OpenSearch alerting you can enhance security by monitoring for suspicious activities or security breaches in real-time. This helps improve the security posture of your organization's data infrastructure.

Web Application Monitoring: Best Practices and Strategies for Performance Monitoring

Table of Contents Intro What is Application Monitoring? Types of Web Application Monitoring Factors To Consider in Web Application Monitoring Web Application Monitoring Best Practices Establish Clear Monitoring Objectives Select the Right Monitoring Solution Define the Key Performance Metrics Set Up Custom Alerts and Notifications Test and Verify Web App Monitoring Analyze and Respond to Monitoring Information Why is Monitoring Web Applications Important?

Create Golden Paths for your development teams with Datadog App Builder and Workflow Automation

Improving the developer experience is a chief concern for many orgs who must maintain highly complex software architectures and platforms supported by an intricate web of internal processes. Platform engineering for Golden Paths seeks to address this by providing self-service tools, capabilities, and processes to help engineers start new projects in a more standardized, less mistake-prone way.