AppNeta by Broadcom recently introduced monitoring policies that streamline monitoring setup and maintenance, significantly reducing the time needed to manage your monitoring. AppNeta is now introducing a range of new network rules in monitoring policies. These rules extend monitoring policies and make it simple to select the networks that should be monitored. This update is designed to further simplify your ongoing operations, particularly in managing dynamic, diverse networks.

There’s wisdom in past experiences — if you can access it. During live incidents, teams often look for parallels to past situations in their investigation process. Finding the answers is a time-consuming and manual process. You first have to identify similar incidents, then review historical data for insights and details on how previous teams resolved them. There’s no time to waste when SLAs are at stake. Yet that’s how many operators spend their time.

Last week saw several big milestones for BigPanda. We launched several new AI-driven capabilities (see below). And we had the privilege of meeting with more than 40 IT operations leaders from customers, including Disney, Nvidia, Autodesk, Lucid Motors, Intel, and Blue Shield, at our customer event, BigPanda 24. Representing some of the most innovative organizations in business and technology, these influencers joined us as part of our customer and technical advisory boards.

While deep learning, machine learning and artificial intelligence (AI) may seem to be used synonymously, there are clear differences. One school of thought is that artificial intelligence is a larger umbrella category under which machine learning falls and deep learning falls under machine learning. Therefore, while everything that is categorized as deep learning or machine learning is part of the artificial intelligence field, not everything that is machine learning will be deep learning.

Government agencies are embracing digital modernization to transform the delivery of public services and reimagine the constituent experience. Recent research shows that citizens have a clear preference for engaging with government through websites and mobile applications over in-person or telephone interactions, just as the experience in their everyday life as commercial consumers – creating a win-win for governments and constituents.

The Uptime Institute’s 2022 Global Data Center Survey highlights a growing challenge for operators: attracting and retaining qualified staff. With 53% struggling to find skilled employees and 42% losing staff to competitors—a sharp rise from 17% in 2018—there’s a clear need for solutions. DCIM software emerges as a key response, offering a holistic view of data center operations. This includes monitoring power usage, cooling systems, server space, and network operations.

In today's age of cloud services and SaaS platforms, continuous improvement isn't just a goal — it's a necessity. Here at Elastic, we're always on the lookout for ways to fine-tune our systems, be it our internal tools or the Elastic Cloud service. Our recent investigation in performance optimization within our Elastic Cloud QA environment, guided by Elastic Universal Profiling, is a great example of how we turn data into actionable insights.

As Kubernetes adoption continues to surge across various industries, the need for robust monitoring solutions is more critical than ever. Effective Kubernetes monitoring not only ensures the health and performance of your containerized applications but also provides valuable insights for troubleshooting and optimizing your infrastructure. However, Kubernetes's distributed and dynamic nature presents unique challenges regarding monitoring and observability.

Observability is the ability to understand the internal workings of a system by measuring and tracking its external outputs. In technical terms, it entails collecting and examining data from numerous sources within a system to attain insights into its behavior, performance, and health. All organizations are now familiar with how essential observability is to ensure optimal performance and availability of their IT infrastructure.

If you deploy container-based services in Kubernetes, chances are you’re also using infrastructure-as-code to help automate the provisioning and maintenance of the cloud environments where your applications will run. Up until recently, Terraform was “the name” in infrastructure-as-code.