Articles

Hybrid Multicloud Adoption: A Programmatic Approach To Get Started

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Background Context

In our first blog, we introduced the definition and evolution of hybrid multicloud, key challenges of the enterprises, and the value realized by implementing a hybrid multicloud strategy. This blog will cover how to create a holistic and business-value-driven multicloud strategy. In order to provide agility, security, reliability, and access to a large ecosystem of services, a robust transformation strategy and program are required. This strategy must align with business objectives such as revenue growth, cost reduction, risk reduction, enhancing the customer experience, and capitalization of market opportunities.

Having created many transformation strategies across many industries, we have observed critical success factors that are worth noting. For instance, successful IT organizations tightly align their cloud strategies to business objectives while developing a target architecture and operating model blueprint while quantifying the costs and benefits in a business case. Organizations that have failed to implement their cloud strategy, or failed to realize their committed benefits, typically do not complete these important elements of a holistic strategy. 

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Does Continuous Improvement and Delivery Make You Agile?

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I try not to get involved in arguments – but when a debate started in the Dev Interrupted Discord about if exceptional continuous improvement (CI) or continuous delivery CD) makes a group agile or not, I had to jump in. I’ve helped build many high-performing teams with agility, and I know that neither CI/CD nor Scrum makes an organization Agile.

It’s Not What You Do, It’s How You Respond

Probably my favorite way I’ve ever heard someone describe agility was that it’s about moving away from believing we can predict and plan everything to sensing reality and responding to it instead.

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Agile Is a Thought Process, Not a Work Process

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What makes a High-Performance team different from others? Is there any framework or way to build a high-performance team? We all know agile as a framework. Does it help us to build the High-Performance Team? If you and your team follow the agile framework, can just following agile make your teams a high-performance team? In my experience with agile, I have seen teams follow agile by the book, and they do not want to deviate from what they read in the book. Sometimes in teams, it is merely an agile process just for its sake or pushed top to bottom. For me, Agile is a philosophy that enables teams/individuals to be better. You can reap the benefits of agile if you follow it unrestrainedly. We must show agility in our thought process rather than in the work process. Now the question is, if agile is a philosophy to follow, then how does it help us? Do we see agile in real life from which we can learn?  

Let us answer these questions with a relatable example of a weight loss journey and co-relate that to your agile team. I chose this as an example to answer questions because I believe you will relate to this example even though you have or are not going through this journey.

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What Does It Take to Test in DevOps?: QA Best Practices

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Traditionally, testing has been perceived as a bottleneck in SDLC, something that causes delays in delivery. Organizations have long adopted the Agile/DevOps model, but not without its pitfalls and stumbling blocks, especially in achieving the ideal speed/quality balance.

For enterprise DevOps, it is vital to rethink testing approaches to achieve agility at scale. There is much of an overlap of roles, for instance between business analysts and QA testers. Is the tester’s role diminished because of this overlap or because of automation?

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AWS HIPAA Compliance Best Practices Checklist

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Nowadays, most medical providers across the globe tend to implement cloud-based architecture for their medical services. And it’s not surprising, especially considering today’s pandemic reality; medical software is a must. However, to build a highly secure solution to deliver medical services, you must abide by the US 1996 law, namely the HIPAA Security Rule. This legislation represents a set of required and adequate protections for managing electronic confidential patient information and avoiding its disclosure without prior patient’s knowledge and even consent.

So, if you want to develop a medical solution and make your healthcare services cloud-based, you will have to apply the latest technologies for maintaining data compliance. To build cloud-based apps according to the Privacy Rule, most healthcare providers apply Amazon Web Services (AWS) due to its increased agility, security, and innovation potential.

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Adopting DataOps for Agile Data Management Processes

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As businesses become AI-ready, efficient data management has acquired an unprecedented role in ensuring their success. Bottlenecks in the data pipeline can cause massive revenue loss while having a negative impact on reputation and brand value. Consequently, there’s a growing need for agility and resilience in data preparation, analysis, and implementation.

On the one hand, data-analytics teams extract value from incoming data, preparing and organizing it for the production cycle. On the other, they facilitate feedback loops that enable continuous integration and deployment (CI/CD) of new ideas.

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Agile Maturity and Agility Assessment [Webinar]

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Is Agile maturity a fad or a trend? How can an organization make an informed decision on what level of agility might become achievable before starting a transition? 

Our second webinar addressed the question of Agile maturity and detailed the survey results what indicates an Agile organization. Moreover, we introduced the ‘Agility Assessment Framework," an open source project which aims to provide Agile practitioners with the tools needed to answer these questions:

Source de l’article sur DZone (Agile)

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Agility Meets AI: Hands-On with Monte Carlo Simulation

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After my article, “Role of Project Manager in Data Science”, a couple of program managers suggested me to elaborate the use case on meeting release commitments. We are going to explore simulation, one of the amazing concepts in Artificial Intelligence. Quantitative analytic techniques, such as the Monte Carlo simulation, helps program managers in decision making through probabilistic distributions of potential outcomes.

Monte Carlo relies heavily on the randomness of key variables in solving the problem. Along with key parameters, we also need to understand the relationship between them and sufficient data to analyze further. The five steps listed in “Forecasting the future: Let’s rewind to the basics” are essential to building an accurate model.


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IT Agility Canvas

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Whether you are doing an IT audit, or you are a new CIO in your company, you must quickly take a good vision of the situation of your IT. What are the strengths of your IT? Areas for improvement? And especially in relation to your business context, how does IT do its job properly, in terms of business satisfaction, cost control, the speed of implementation, and a low number of incidents to manage?

Business Strategy

Do Big Changes Occur Often and Quickly or Not?

There is no point in having a very Agile IT if you evolve once a year. In the opposite, it is useless to have an IT that can’t move if you have a lot of evolutions. You see the point?

Source de l’article sur DZone (Agile)

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Best Practices Considered Harmful

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I’ve long worried about "Best Practices." Sure, I usually play along at the time, but lurking in the back of my mind, waiting for a suitable opportunity are two questions:

I was once told by someone from the oil industry that it was common for contracts to specify "best practice" should be used. But seldom was the actual practice specified. Instead, each party to the contract would interpret best practice as they wished, until something went wrong. At that point, after an accident, after money was lost, they would go to court and a judge would decide what was best practice.

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