It’s a fast-paced business world out there. This means artificial intelligence (AI) models that help modern businesses win are more than welcome. The right model can drive innovation, streamline workflows, and save you money. But OpenAI’s powerful models can have a catch: High-frequency API usage, complex queries, and data processing can lead to unexpectedly high costs. Surprise costs eat up budgets and threaten other critical investments. Not good.

By Christina Kosmowski, CEO, LogicMonitor It’s been a remarkable year, with exceptional moments accelerating value and impact for our customers. Now, I am excited to announce an incredibly significant recognition as a Visionary in the Gartner Magic Quadrant for Observability Platforms, 2024.

Due to the increasing challenges faced in network environments and the consistent threat of cyberattacks, companies must enforce appropriate security measures to protect their data, maintain operational integrity and prevent outages. For example, a recent Microsoft outage was caused by a CrowdStrike update that conflicted with Microsoft’s Windows OS.

The SharePoint REST API is a powerful tool that allows developers to interact with SharePoint data and resources remotely. Whether you’re managing documents, configuring sites, or building custom applications, the REST API provides a flexible, efficient way to programmatically access and manipulate data within a SharePoint environment.

The demands on IT, observability, and security teams have never been greater. With data volumes exploding at a 28% CAGR and hybrid environments becoming the norm, organizations are facing significant challenges: those rapidly growing data volumes I mentioned, the intricacies of hybrid and cloud-native architectures, and the need for real-time insights. Oh, and don’t forget the constant threat of security breaches.

Think of it as your digital concierge to achieve faster time-to-value IT and security teams face more challenges than ever, with data growing at 28% CAGR and taking numerous shapes and forms. Cribl’s suite of products – Stream, Edge, Search, and Lake – is built on a unified data processing engine specifically designed for IT and security data.

Datadog’s pricing model is multifaceted, covering several key areas of observability. This analysis breaks down the pricing structure to help you understand potential costs for your organization. In this article we cover.

We are thrilled to announce that, for the fourth consecutive year, Datadog has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms. We believe that this placement reflects Datadog’s continued commitment to solving our customers’ most sophisticated challenges and building products that provide unmatched visibility into the performance, security, and cost of their traditional, cloud-based, or hybrid tech stack—from code to production.

NetApp is excited to announce the addition of Shuffle Data Store for Ocean for Apache Spark. Customers running on AWS can now benefit from improved resilience and efficiency for multi-step data preparation pipelines that require Apache Spark to shuffle data. The external shuffle solution is backed by either Amazon FSx for NetApp ONTAP storage or Amazon S3 storage, which have been optimally configured for Spark workloads.

For most network operations teams today, there are a dizzying array of technologies in play, and more keep getting added to the mix. To efficiently manage these multi-vendor, multi-technology environments, it is vital to leverage network observability solutions that provide comprehensive coverage. This post examines how DX NetOps by Broadcom helps address this imperative.