In the ever-evolving landscape of data integration and architecture, organizations grapple with many challenges, from controlling exponentially growing observability data to the complexities driven by hybrid clouds, data migrations, integration of new AI/ML services, and the need for swift time-to-market strategies.

Welcome to the era of AI. It’s the technology advancement that motivates and excites me every day as a CTO. Generative AI is already transforming many areas of our lives, from helping us write emails to assisting us with customer service. What waits for us on the immediate horizon? Today, we released our annual predictions series. Splunk’s 2024 Predictions features three editions: Executive, Security and Observability.

For organizations that leverage AWS resources, CloudWatch is a “must-have.” Operations teams leverage data from their AWS environments to identify service issues and maintain availability. By using CloudWatch and its associated products, organizations can monitor their AWS resource usage to optimize their environments.

The clock is ticking for financial services companies that operate in the European Union (EU). Starting in January 2025, financial services providers and their third-party technology service providers must meet the new regulatory requirements of the Digital Operational Resilience Act (DORA).

With M-21-31’s Advanced EL3 requirements now past due, many US Federal Civilian agencies are still looking to close gaps in their Enterprise Logging capabilities. As part of the EL3 requirements, agencies must be finished implementing user behavioral analytics (UBA) that enables: For many organizations that leverage machine learning (ML) to detect anomalous behavior across the network, UBA solutions have become a critical piece of the enterprise security and insider threat puzzle.

Imagine this scenario: your platform appears to have an issue. Maybe it has gone down or maybe it has affected a large volume of users or perhaps just a few of those important ones; either way there is a significant problem with it. Users are complaining and are happy to shout about the platform not working on X (formally Twitter).

In this blog series, we’ll explore how Cribl Stream can leverage your existing cross-domain solution (CDS) to easily collect and send your log and metric data between disparate security domains or across air-gapped networks. The goal is to retain as much fidelity of the data as possible, deduplicating processes and simplifying management efforts.

There is more data available to us than ever. Storing this data is important — but deciding on the right type of data storage solution is not so clear. This article explores two primary types of big data storage: data lakes and data warehouses. We’ll examine the benefits of each, then discuss the key differences between a data lake and a data warehouse, so you can decide on the best approach for your business.

While we built Grafana Loki as an open source log aggregation system that is cost effective and easy to operate, let’s face it: sometimes there is no time or bandwidth to mess around with self-managing and self-hosting. Luckily there’s the fully managed Grafana Cloud observability stack for log management. “Grafana Cloud is a no-BS platform. The engineering costs of hosting it ourselves would be much higher," says Jameel Al-Aziz, a software architect at Paradigm.

Have you ever wondered why some once-prominent companies now find themselves less popular, even overshadowed by smaller competitors? A prime example of this shift is Facebook. Although Facebook was the heartthrob of the 2000s, major issues like internet privacy and possible leaking of user records have made users more suspicious. Only 18% of American Facebook users think the platform protects their data and privacy.