ChatGPT and other LLMs have become so accessible that even our grandmas know about AI. But what’s really happening beyond the hype? Recently, I sat down with IT and security leaders Cory Minton and Kirsty Paine to share the inside scoop on how we’re thinking about AI here at Splunk. Watch the replay of our conversation here.

While no man is an island, your Virtual Private Cloud (VPC) is, except it’s a digital island floating in the ocean of a public cloud offered by a cloud service provider (CSP). The VPC means that everything on your digital island is yours, and none of the CSPs other customers can (or should be able to!) access it. You’ve likely been introduced to the shared security model, a sometimes-confusing way that organizations and their cloud-services providers (CSPs) split security responsibilities.

Observe is a SaaS based observability tool built on Snowflake. It offers a graph-style approach to observability data, claiming that this makes it easier to correlate data in a seamless fashion. Let’s see how Observe compares to Coralogix.

A multi-cloud approach helps organizations avoid vendor lock-in, leverage the best available technologies, and reduce costs - but it can also result in added complexity when it comes to centralizing, securing, and analyzing data from cloud applications and services. This blog highlights 5 multi-cloud data management best practices that can help you make the most of your data in multi-cloud environments.

In this conversation, Cribl’s Carley Rosato talks to Aflac’s Shawn Cannon about his role as a Threat Management Consultant, and how he manages their SIEM environment, brings in new data as needed, and works to improve the ingestion process. Our customers are always coming up with new and exciting ways to implement Cribl tools — importing a 34 million-row CSV file into Redis and enriching events in Splunk might be one of the most impressive we’ve seen so far.

Monitoring distributed systems means collecting data from various sources, including servers, containers, and applications. In large organizations, this data distribution makes it harder to get a single view of the performance of their entire system. OpenTelemetry helps you streamline your full-stack observability efforts by giving you a single, universal format for collecting and sending telemetry data. Thus, OpenTelemetry makes improving performance and troubleshooting issues easier for teams.

Search is a fundamental requirement for anyone working with log files. When you have terabytes and petabytes of data, you need to find answers to questions – fast. The search engine that you choose sits as the cornerstone for any technology that helps you look for the information needed to answer questions. While OpenSearch and Elasticsearch may have similar beginnings, their modern iterations have significant differences.

Last week, I attended the Gartner IT Infrastructure, Operations & Cloud Strategies Conference (IOCS). Gartner IOCS is my favorite conference every year because of the quality and level of the presentations. Gartner analysts deliver most sessions and put a lot of effort into the presentations and supporting research. ‍ I’d like to highlight two sessions that I found to be very informative.

Cloud-based services have changed how individuals and businesses get things done. That doesn’t mean it’s all positive — there are some tradeoffs and compromises that come with cloud services and the internet. One major tradeoff is speed. For instance, if your website fails to load within three seconds, 40% of your visitors will abandon your site. That’s a serious dent for anyone doing business online. The culprit here is latency.

As we continue to navigate the ongoing evolution of the observability landscape, Logz.io is constantly striving to provide our customers with the advanced platform capabilities needed to make sense of their increasingly complex environments. Sometimes that means taking a new approach to long-standing practices.