This is not merely another iteration of conventional business continuity methodologies such as disaster recovery, active-passive, or active-active. Instead, the emphasis lies on crafting, constructing, and implementing a fault-tolerant solution capable of confronting and autonomously resolving infrastructure failures without human intervention.
As it appears evident this year, we’re all going to discuss of cyber resilience, isn’t it? Is it just marketing fluff and a new name for cyber security? Or is there more to it? Whenever there is a new trend in the industry, you invariably see everyone jumping on the bandwagon, claiming they have the best offering to address that problem. And why not.
In the Sept-Oct 2021 edition of The Connection, we gave an overview of Kafka, and how it is being used by many Fortune 500 companies to manage “streams” of data, which have become prevalent as internet usage massively boosts the amount of data being generated, and requiring processing. Kafka allows these huge volumes of data to be processed in real-time, via a combination of “producers” and “consumers”, which work with a Kafka “cluster” – the main data repository.
Twenty years ago, data analytics was a field reserved for geeks and academics, something discussed during breaks in lectures on chaos theory. The idea was to take a very random system, with lots of seemingly disparate data, and be able to tie that tangled web of data together so that meaningful outcomes could be predicted. The most obvious example is weather forecasting, which involves analyzing all the earth’s atmospheric randomness in terms of ever-changing temperature, moisture, and wind, somehow using that data to tell people to bring an umbrella to that 1 pm picnic a week from Saturday.
Before we begin to look at HPE NonStop platform updates becoming available in 2021 it’s probably a good idea to take a step back and look at exactly what constitutes a platform. Like with every opinion, everyone has their own take on what constitutes a platform. It was so much easier when we all understood what was a computer, an operating system or an application but of late, the lines have become less clear. Can we still draw meaningful lines or have they become lines in the sand, subject to change every time a breeze disturbs their presence.
The topic of essential versus accidental complexity goes back to ancient Greece in a classification from Aristotle. But we can go just 30 years back instead of 3000 to find it well illustrated in software development, by Fred Brooks, a Turing award winner. In his 1987 essay “No Silver Bullet” he introduces two concepts, essential complexity and accidental complexity. Essential complexity is inherent to the problem the software needs to solve and cannot be removed.
Ben Coan is a business development manager with Odyssey Information Services. Ben’s ability to develop long-lasting professional relationships has driven him to fully understand his clients’ technology needs and provide them with the best solutions. In addition, he has more than 20 years of experience in providing HPE NonStop support solutions for companies in oil and gas, healthcare, retail, banking, and financial services.
In past years, prior to deploying an application, significant time and effort was expended in gathering requirements to produce a design. The design was completed up front, before any code was written or database schema created. Furthermore, the design was comprehensive and static – it was expected to be viable for years without requiring significant modifications. When changes eventually were needed, they became a major redesign effort that often impacted multiple facets of the application and database. None of this was completed quickly, or without risk.
On an HPE NonStop system, this transaction log is maintained by the HPE NonStop Transaction Management Facility (TMF) subsystem, and is known as the TMF Audit Trail (TMF AT). Data managed in this way by TMF are known as audited files, or audited data (conversely, non-audited-files and non-audited data).
Databases and servers operated by enterprises today are large and complex. Every business is transforming, and data is the lifeblood of every organization. The growth of data and its importance has been a top executive priority. Equally important: Grappling with top technology trends such as analytics, AI, IoT, containers, VR/AR, and cloud/edge computing—all of with the common denominator of being data-driven. Learn how HPE NonStop SQL Cloud Edition is up to the challenge.
Let’s get definitions out of the way. If you have been wondering about the difference between IT Transformation and Digital Transformation (DX) then you are not alone. Many IT professionals and business commentators have stepped in to clarify what these differences boil down to, but in many cases, they have only raised more questions. As we move into 2021, enterprises are deep into projects that are designed to better align technology with business outcomes and as they do so, the idea of transformation appears with almost regular monotony.
We have always heard the role of NonStop described as being best-suited platform where 100% uptime is mandatory; where the customer’s business cannot tolerate any exceptions; where nothing can be allowed to interrupt the works of the solution and where the application’s failure means the customer’s business fails.
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