In today’s digital-first world, organizations are constantly pressured to deliver faster, more reliable, and secure network services. Yet, with a staggering 65% of enterprise network activities still performed manually, the journey toward network automation is more critical than ever.

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.

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.

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?

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.

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.

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.

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.

These days, one of the most important decisions that organizations can make as it relates to their observability strategy is: “How much data do we want to retain in Hot storage to ensure we have everything needed for real time analysis — without running up associated costs?”

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.