As Red Hat engineers, we are always looking to incorporate features that empower administrators and decision makers. Our goal is to enable them to be proactive, efficient, and to help them maximize value from their infrastructure.
To this end, we are currently working on how to significantly improve the reporting and metrics API in Red Hat Virtualization Manager, our management platform for virtualized resources. Until recently, Red Hat Virtualization relied on native reports and data warehouse engines to provide
Continue reading “Red Hat Virtualization Reporting Evolution: Transitioning to Metrics Store”
This year I was part of the process of selecting the labs you are going to experience at Red Hat Summit and wanted to share here some to help you plan your hands-on time with infrastructure and operations focused labs. These labs are for you to spend time with the experts who will teach you hands-on how to get the most out of your infrastructure and operations products.
Each lab is a 2-hour session, so planning is essential to getting the most out of your days at Red Hat Summit.
As you might be struggling to find and plan your sessions together with some lab time, here is an overview of the labs you can find in the session catalog for exact room and times. Each entry includes the lab number, title, abstract, instructors and is linked to the session catalog entry:
Continue reading “Red Hat Summit 2017 – Planning your InfraOps labs”
Previously in The Quest for Operations Intelligence, the focus was placed on what can be delivered with log aggregation and how to improve it. A conclusion was that to have full situational awareness on IT, you would need logs, metrics, configuration and events information correlated for easy one stop analysis when problems arise.
While we talked about logs, metrics and configuration in depth, we left events at the time without any sort of definition. What are events and what can we use them for in our quest for operations happiness?
Continue reading “Events and Monitoring Supercharging your Operational Intelligence”
When building anything substantial, such as a house or bridge, you start by laying down a solid foundation. Nothing changes this aspect of building brick by brick when you move from traditional constructions to application development and architecting your supporting infrastructure. Throw in Cloud terminology and you might think that the principles of a solid foundation are a bit flighty, but nothing is further from the truth.
When looking to manage an organization’s journey into their digital future, CIOs are dealing with a lot of challenges. Challenges that they face on the road to digital transformation can be daunting as first glance, but must be embraced to properly navigate the road to success.
What if I told you that you can have your Red Hat Enterprise Linux (RHEL) based Cloud infrastructure, with Red Hat Virtualization, OpenStack, OpenShift and CloudForms all setup before you have to stop for lunch?
Would you be surprised?
Could you do that today?
In most cases I am betting your answer would be not possible, not even on your best day. Not to worry, the solution is here and it’s called the QuickStart Cloud Installer (QCI).
Hyperconvergence is a key topic in IT planning across industries today. As customers look to lower costs and simplify day to day management of their IT operations, the hyperconverged model emerges as fit in a number of operational use cases.
Convergence began at the hardware level, with compute, network, and storage appearing in consolidated platforms, but it’s now accelerating as hyperconvergence goes “software defined”. As a leading software infrastructure stack provider, Red Hat recognizes that reducing the overall moving parts in your infrastructure and simplifying the procurement and deployment processes are core requirements of the next generation elastic datacenter.
Applying a solutions-aligned lens, Red Hat is innovating software defined compute-storage solutions across the portfolio, designed to meet the needs of a broad customer base with diverse requirements. As a vendor-partner in this journey, we recognize the value of bringing storage close to your compute and eliminating the need for discreet storage tier. Doing so across both traditional virtualization and cloud, as well as containers and leveraging our industry-proven software defined storage assets – Red Hat Gluster and Red Hat Ceph Storage – we’ve defined a robust set of efficient, solution-aligned hyperconverged offerings.
This blog provides a short overview of several areas where we see hyperconverged software defined architectures aligning with use cases, with a focus on
Continue reading “Red Hat Hyperconverged Solutions”
There have been countless advances in technology in the last few years; both in general and at Red Hat. To list just the ones specific to Red Hat could actually boggle the mind. Arguably, some of the biggest advances have come more in the form of “soft” skills. Namely, Red Hat has become really good at listening – not only to our own customers but to our competitors’ customers as well. This is no more apparent than in our approach to applying a self-service catalog to virtualization. Specifically, pairing Red Hat Enterprise Virtualization (RHEV) with CloudForms for the purpose of streamlining and automation of virtual machine provisioning.
Continue reading “Self-Service Portals and Virtualization”
Paradoxically, there has never been a better or more confusing time to discuss which platform is most appropriate for a given workload. As we seek to solve problems around automation, continuous integration / continuous delivery, ease of upgrades, operational complexity, uptime, compliance, and many other complex issues – it quickly becomes clear that there are more than a few viable options. Making matters worse – there is too much focus on the “how” (to adopt a given platform) and not enough focus onthe “why”. To this end, I’d like to address more of the “why” in an attempt to better influence the “how”.
Continue reading “Choosing a Platform Based on Workload Characteristics”