If you’re working with AI, you’re working with data. From numerical data to videos or images, regardless of your industry or use case, every AI project depends on data in some form. The question is: how can you efficiently store that data and use it when building your models? One answer is PostgreSQL, a proven and well-loved database that, thanks to recent developments, has become a strong choice to support AI.

In part 1 of this two-part blog about utilizing Failover Clusters in your network to improve performance and availability, we'll uncover how they work, why they are popular for large-scale organizations, and discuss several of the most common issues with them. In part 2, we'll discover the best troubleshooting strategies to address Failover Cluster performance issues, and we'll review a helpful checklist that streamlines the process for fixing these issues.

Have you ever found yourself wishing for a magical solution to handle the unpredictable ebb and flow of user traffic on your cloud-hosted platforms? Organizations today face the ever-present challenge of effectively managing fluctuating levels of traffic on their platforms. Enter application autoscaling, a concept in modern resource management that allows organizations to seamlessly adjust their resources in response to spikes or lulls in user activity. But what exactly is autoscaling?

To optimize costs, businesses must continuously assess the cost-effectiveness of their IT infrastructure. This article explores the financial implications of transitioning from traditional cloud IT infrastructure, characterized by elements like EC2, RDS, and non-containerized environments, to Kubernetes, a modern container-orchestration system. Traditional IT infrastructures have long been the backbone of many organizations, offering a certain level of predictability in cost and performance.

Learn about Cloudsmith's recent ISO 27001:2013 recertification, highlighting the team's unwavering commitment to security excellence and customer trust.

The security and storage of secrets is one of the most controversial subjects when it comes to GitOps deployments. Some teams want to go “by the book” and use Git as the storage medium (in an encrypted form of course) while others accept the fact that secrets must be handled in a different way (outside of GitOps). There is no right or wrong answer here and depending on the organization requirements, either solution might be a great fit.

Kubernetes has become quite the conundrum. It’s 2024 and more teams than ever are looking for an alternative to the self proclaimed “de-facto” container solution for reasons ranging from long term complexity to its absolutely massive cost to maintain. So here’s the scoop. Teams have been ditching Kubernetes faster than hipsters drop mainstream coffee chains for that obscure, single-origin brew. Why?

As the software development world becomes faster, enterprises must adapt to customer demands by increasing their application’s deployment frequency. They often rely on DevOps and Site Reliability Engineering (SRE) methodologies to achieve this. These approaches ensure high system availability amidst frequent deployments and prioritize delivering a seamless user experience.

Navigating the complexities of cloud financial management requires more than just tracking costs – it demands a strategic approach to measure and optimize cloud spend. We have put together our top 7 KPIs, ranging from allocatable cloud spend and average hourly costs to sophisticated forecasting, to effectively gauge your FinOps solution success. Each KPI offers unique insights, helping businesses manage and maximize their cloud investments.