Operations | Monitoring | ITSM | DevOps | Cloud

As many companies shift from traditional IT infrastructure to cloud computing, they are also rethinking how they handle cloud costs — from accounting to tax reporting. Computing costs are predictable and relatively fixed in traditional IT environments. An organization purchases computing capacity upfront and uses it over time. The total cost of ownership is fairly easier to calculate with this setup. By contrast, cloud computing operates on a pay-as-you-go basis, with no upfront payments.

We’ve seen two general approaches to getting optimization done to reduce cloud costs in our customers; the first and most popular is “the stick” where FinOps teams campaign against lines of business development teams with a mantra of “spend less”!

Picture this: You're knee-deep in the intricacies of a complex Kubernetes deployment, dealing with a web of services and resources that seem like a tangled ball of string. Visualization feels like an impossible dream, and understanding the interactions between resources? Well, that's another story. Meanwhile, your inbox is overflowing with alert emails, your Slack is buzzing with queries from the business side, and all you really want to do is figure out where the glitch is. Stressful? You bet!

Learn the best practices for executing seamless database schema migrations within ephemeral environments.

Daunting. It’s one of the first words that comes to mind for IT and business leaders tackling the challenges of 2023 and looking to future-proof their organizations. IT operations (ITOps) departments are working to balance priorities during a time of growing uncertainty and pressure. ITOps is the team that keeps the lights on, and today, it must do so with enough speed to meet business demands.

Many cloud infrastructure providers make deploying services as easy as a few clicks. However, making those services high availability (HA) is a different story. What happens to your service if your cloud provider has an Availability Zone (AZ) outage? Will your application still work, and more importantly, can you prove it will still work? In this blog, we'll discuss AZ redundancy with a focus on Kubernetes clusters.

Splunk Cloud Platform has always been a powerful platform for aggregating, analyzing, and extracting actionable insights from your machine-generated data. As data volumes continue to grow exponentially, efficiently managing the ingestion of data into Splunk becomes crucial. To address this need, we are thrilled to announce the debut of Terraform support for the Splunk Cloud Platform.

We’re excited to share an update on our Microsoft Azure integration that automates discovery and mapping of key cloud assets into Tidal Accelerator. Tidal has enabled a new integration that pulls information on Azure Virtual Machines (VMs), Azure App Service, and Azure Database instances, Elastic Pools and Servers, directly into Tidal Accelerator for further analysis.