Cirba’s Evolution Story: The Path to Becoming Software-Defined Infrastructure Control

| September 15, 2014

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Cirba's predictive analytics software enables organizations to intelligently transform, control and automate virtual and cloud infrastructure. and Cirba has reimagined infrastructure control for the software-defined era.

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Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

OTHER ARTICLES

All-out SaaS for IT operations management

Article | April 9, 2020

Software-as-a-service (SaaS) is an old friend that has been an established business model since the 1960s. It is a broad term referring to everything from platform to software and various other technology ecosystems that are offered to customers on a consumption pay-per-use model. In 2019, the SaaS market was estimated to be worth $141 billion. The 2020 market is projected to reach the $157 billion mark. When compared with figures from 2014 when the industry was said to be worth $63.19 billion, the growth is exponential.

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Supercharge your next tech project with virtual co-creation

Article | March 31, 2020

You know your business inside and out. You’re aware of its IT needs and challenges, and you want to take advantage of state-of-the-art technologies. Perhaps you’re looking to get supercharged on the latest tech trends and see how to employ them in your organization. What if your IT team could join forces with infrastructure specialists to co-create enterprise-scale solutions quickly? Co-creation is the concept of generating shared business value through partnership between a company and its customers. It can be used to brainstorm new products or services, solve problems or boost performance. In the IT industry, businesses might co-create IT solutions by working together to identify potential projects, define their scope and chart a plan for implementing them.

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Was Your IT Infrastructure Ready for COVID-19?

Article | April 7, 2020

Lockdowns, quarantines, travel bans, restrictions on social life and more. The world is facing one of its biggest challenges right now, something that was predicted multiple times in the past, but something no one paid much attention to until now. The impact on our future life is still up in the air, but what about IT? I have been asking clients and colleagues “What is the real impact of COVID-19 on your IT infrastructure?” for a couple of weeks now, while also trying to get a grasp on what is really happening to both IT professionals and the IT vendor community. While my focus is on data storage, I’m pretty sure that a similar analysis of other areas of IT will lead to the same conclusions. Here is a very basic example.

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Understand the role of infrastructure as code in DevOps

Article | February 28, 2020

Infrastructure as code plays a prominent role in enterprise DevOps shops. Use this chapter excerpt to understand why -- and to learn the basics of some common IaC tools. As technology evolves at a faster and faster pace, collaboration between teams, such as development and IT operations, becomes increasingly important to satisfy end user and business demands. DevOps aims to foster that collaboration, as well as improve application deployment times and quality. To succeed with DevOps, however, IT teams must be open to change. "DevOps is a culture different from traditional corporate cultures and requires a change in mindset, processes, and tools," writes Mikael Krief in the book Learning DevOps: The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps.

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Spotlight

Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

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