Operations | Monitoring | ITSM | DevOps | Cloud

It’s 3am. You wake up to a blaring alarm, the sound burned into your soul from countless sleepless nights. You reach for your phone, ‘press 4 to acknowledge’ and bleary eyed, you open your laptop, grab a coffee and get to work. The next hour is a whirlwind—bringing services back online, keeping colleagues in the loop, maintaining a list of action items, updating a status page that will be seen by millions of customers. Potentially for the fifth time this month.

Unraveling the complexities of handling data to match your tech needs.

If your organization asked you to report on the reliability improvements you’ve made over the past 90 days, would you be able to pull up a report? If you’re like many engineers, this question might make you anxious. Reliability is a difficult metric to quantify in a meaningful way, let alone measure.

Within Kubernetes, the Domain Name System (DNS) plays a pivotal role in facilitating service discovery, allowing pods to effectively locate and interact with other services within the cluster. For organizations transitioning their workloads to Kubernetes, establishing connectivity with services external to the cluster is equally important.

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.

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?