Operations | Monitoring | ITSM | DevOps | Cloud

If you're a Splunk customer, chances are high that you use either Splunk Enterprise or Splunk Cloud Platform on a daily basis. With powerful dashboards, scalable indexes, and data streaming, these core products give you immense data analysis powers and actionable insights. And that's something everybody wants! But you aren't everybody. You're uniquely you - a specific customer working in a specific industry with specific use cases.

We recently released the beta version of our Notification Web Module, which includes a cool feature that is not yet known to everyone. We named it Desktop Notifications (Browser Push Notifications). With this feature enabled, your browser can send you instant notifications based on your configured event rules—provided you’re logged into Icinga Web.

As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But the integration of machine learning (ML) into the real world proved challenging, and the vast gap between development and deployment was made clear. In fact, research from Gartner tells us 85% of AI and ML fail to reach production.

Since they were introduced over two decades ago, single-page applications(SPAs) have transformed web experiences, offering fast and fluid interactions akin to native apps. With dynamic updates on a single HTML page, users can interact with a web app without waiting for page reloads. Compared to non-dynamic web pages, SPAs reduce server load and improve interaction speeds. However, SPAs also present unique challenges for optimization, especially as they grow more complex.

Effectively monitoring Oracle Cloud Infrastructure (OCI) services is crucial for maintaining smooth operations, cost efficiency, and robust security. OCI offers a suite of services, each vital to powering applications and workloads. Understanding what to monitor and why is key to preventing downtime, managing costs, and optimizing performance.

If you are familiar with Cribl’s solutions, you know that we offer our customers choice and control over their data. The entire company is built on the idea that we want to help you get your data from anywhere to anywhere using open standards and open data formats. It is your data, and you have full control over what you collect and how it is handled.

In a world driven by data, efficient time series data management is a growing concern. APIs play a significant role in automating tasks, especially in cloud-based environments. Go, with its high performance and concurrency, is quickly becoming one of the standard languages for writing cloud infrastructure and utilities for managing streams of data.

SolarWinds just dropped a whitepaper, From Monitoring to Mastery: Optimizing Database Performance With Observability. Among the highlights is a breakdown of the four most critical components of database observability. Has your organization got these covered?

We’re always interested in improving the signal-to-noise ratio of our internal telemetry at Honeycomb. In an effort to reduce the amount of noise in our logs, we looked at reducing and deduplicating the logs emitted by our infrastructure and applications.

Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.