Mainframes might seem like relics of a bygone era to many of us in 2024, but the truth, however, is far from that. Despite their reputation as ancient behemoths—and frequent targets of jokes—mainframes continue to be vital powerhouses driving the global economy. Their capability to process billions of transactions daily, including the majority of credit card transactions, underscores their enduring significance.

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.

Earlier this year, Mark Boost and Dinesh Majrekar had the chance to sit down with Solomon Hykes at Navigate North America 2024 to speak about his thoughts on the future of tech. Solomon is best known as the Founder, former Chief Technology Officer, and Chief Architect of Docker, and is currently the founder of Dagger, a programmable CI/CD engine that runs pipelines in containers, allowing development in various programming languages and execution across diverse environments.

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.

In today’s fast-paced cloud environment, understanding the pricing model of some of the best cloud monitoring tools like Datadog is essential in optimizing costs. With several features and adaptable pricing, clarifying Datadog costs and aligning them with your organization’s operational needs is vital for fully harnessing this robust monitoring tool. This guide simplifies Datadog pricing, offering a clear overview of its cost structure.

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.

Many articles that you may find on the web discuss the importance of reducing Azure costs by identifying and removing unused resources. Still, they often fall short of providing practical methods to achieve this. However, Turbo360 has introduced a new feature that simplifies identifying idle or unattached Azure VM disks, eliminating the need for complex queries or PowerShell scripts.

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.