Coming back from August holidays, I felt the need to take a hard look at what OnlineOrNot does, and keep improving it.

Splunk is pleased to announce the general availability of Federated Search for Amazon S3, a new capability that allows customers to search data from their Amazon S3 buckets directly from Splunk Cloud Platform without the need to ingest it. Enterprises rely heavily on cloud object storage services as the de facto destination for their new data to leverage the cost, compliance, security, scalability and manageability benefits that cloud platforms can offer.

Like many companies, earlier this year we saw an opportunity with LLMs and quickly (but thoughtfully) started building a capability. About a month later, we released Query Assistant to all customers as an experimental feature. We then iterated on it, using data from production to inform a multitude of additional enhancements, and ultimately took Query Assistant out of experimentation and turned it into a core product offering.

It’s been another busy few months here at Gremlin. Overall, our team has been working on feature improvements to enable teams to measurably improve the reliability of their systems, whether that’s through broadening platform support so you can run Gremlin in more places, making it easier than ever to identify reliability risks, or improving reporting so you can manage reliability programs effectively at enterprise scale. Here’s a summary of what’s new.

With just 30 employees, Sentry Software might be considered a small company, but they’re prioritizing sustainability in a big way. As the makers of Hardware Sentry, an IT monitoring software, a large part of their business relies on maintaining optimal temperature conditions at their data centers — an operation that contributes to the company’s overall carbon footprint.

The cloud’s elasticity—the ability to scale resources up and down in response to changes in demand—as well as variable cost structures offer significant advantages, enabling enterprises to move from rigid capex models to elastic opex models where they pay for what they provision, with engineers in control and focused on innovation, becoming true business accelerators.

Looking at your IT environment, you probably have various machines and applications connected to your networks. From network devices to servers to laptops, you need to know what’s happening at all times. While your log data provides the monitoring information you need, your environment’s diversity makes aggregating and correlating this information challenging. If your company invested in Windows devices, then your struggle is even more real because Microsoft uses proprietary format.

For many IT organizations, triaging or troubleshooting starts with assessing symptoms. As practitioners investigate the causal factors by answering each of the “5 whys,” logs are often where the actual root cause answers lie. This is even more true for issues related to configuration changes, change management, and security. However, diving into log data can be overwhelming as a first step due to the high volume and velocity of logs and missing context.

IT leaders are thrilled about the potential of Generative AI for IT Operations. But they also want to know how it works, why it works, and what it will do for them before taking the leap and adopting this new technology. Allow me to share my perspective on the hype and the truth behind Generative AI. I’m the Field CTO for BigPanda, Operational Intelligence and Automation driven by AIOps.

We now support SSO (single-sign on), offering an improved login experience for our customers. SSO can be enabled on our website. We want our customers to have a great experience when using our products and part of that is an easy sign-in experience for users. Enabling SSO will remove the need for users to use their Redgate ID and password when signing into the customer portal and compatible products.