Challenges maintaining Prometheus LTS

In this article, we’ll cover the three main challenges you may face when maintaining your own Prometheus LTS solution. In the beginning, Prometheus claimed that it wasn’t a long-term metrics storage, the expected outcome was that somebody would eventually create that long-term storage (LTS) for Prometheus metrics. Currently, there are several open-source projects to provide long-term storage (Prometheus LTS). These community projects are ahead of the rest: Cortex, Thanos, and M3.


Do it Yourself: Generic REST API-Based Monitoring

DX Unified Infrastructure Management (DX UIM) has more than 150 monitoring probes, which enables IT administrators to monitor everything from traditional mainframe servers to modern hybrid clouds running on a wide range of platforms and operating systems. Traditionally, a separate probe has been required to monitor each specific technology. That’s because the interface that retrieved monitoring metrics was either proprietary or technology specific.


What is object storage?

Object storage has by far the most simplistic interface out there, with no need for complicated SCSI drivers, HBA drivers, multipathing tools, or volume managers embedded into your Operating System. All you need to do is point your application at an HTTP endpoint, and use a simple set of verbs to describe what you want to do with a piece of data. Do you want to PUT it somewhere for safekeeping? Do you want to GET it so that you can do some work with that piece of data?


Introduction to Kubernetes Storage

As Kubernetes Pods don't store data persistently, it offers different storage components to prevent this data loss. In this blog, learn how Volume works in Kubernetes, how to create it, and how to attach it to the Pod. Before exploring Kubernetes volumes, let’s first understand Docker. Docker containers are meant to be transient, which means they will only last for a short period. They are called upon when required to process data and are destroyed once finished.


How to monitor a Ceph cluster using Grafana Cloud

Here at Grafana Labs, when we’re building integrations for Grafana Cloud, we’re often thinking about how to help users get started on their observability journeys. We like to focus some of our attention on the different technologies you might come across along the way. That way, we can share our tips on the best ways to interact with them while you’re using Grafana products.


SUSE Enterprise Storage: What next?

Late last year, SUSE completed their acquisition of Rancher Labs, and in doing so, has had to make some decisions on their product roadmap and ongoing support commitments. SUSE Enterprise Storage, SUSE’s software-defined storage product based on Ceph, doesn’t appear to have made the cut. According to their support pages, it is scheduled for End of Life with milestones in January 2021 and 2022.

Application Aware Storage For GKE and OpenShift

As more and more enterprises move to Kubernetes for their cloud-native needs, they are looking for high-performance storage options for their stateful and data-intensive workloads. Beyond a seamless workflow to provision storage, they are also looking for complete data lifecycle management features as a part of their storage platform. Robin Storage is a perfect candidate for this need. With their application awareness, high performance and scale, Robin Storage is well suited to meet enterprise cloud-native storage needs.

SQL Server Storage Best Practices: Choosing Storage Options

Storage is one of the most critical components for any relational database management system, and getting the right storage configuration affects reliability, availability, and performance. When it comes to SQL Server storage best practices, choosing between storage hardware options has changed significantly over the last decade, but that doesn’t necessarily make choosing the correct storage options for SQL Server any easier.


Fast, highly available, shared storage for containers that natively integrates with your compute infrastructure

With containerized workloads now the norm, and Kubernetes the chosen method for orchestration, new ways of operating and managing the underlying infrastructure have emerged. In this Kubernetes-first world, the goal is to not have to think about managing compute or storage.