On Cloud

When digital transformation initiatives struggle, the blame often gets assigned to the technology implementation. However, in many cases, it's actually more of a people than a technology issue. Fear of change often plays a critical role in project failures. In this episode of the podcast, Mike Kavis and guests, Jeffrey Fredrick and Douglas Squirrel, discuss barriers to digital transformation succe...

Edge computing has the potential to revolutionize IT—especially the way organizations interact with customers. But the edge space is still somewhat of a wild west, and there are competing theories of where it should go and how it can be utilized most effectively. There are even competing definitions of what "edge" truly is. In this episode of the podcast, David Linthicum and Edgevana CEO Mark Thie...

With a shift to cloud, it's crucial for organizations to re-evaluate how they approach security—specifically how they evaluate risk. It's always been critical to take a proactive, predictive approach, but with cloud that criticality is magnified because of the distributed nature of cloud computing. In this episode of the podcast, Mike Kavis and guest, Trend Micro's Mark Nunnikhoven, discuss evalua...

This special episode of Deloitte's "On Cloud" podcast focuses on the role an integrated core plays in recovery and lasting resilience, with examples of how companies are integrating AI, cloud and cyber today.

Once considered to be an unusual development methodology, open source has come into its own. Companies now understand that they can take advantage of different perspectives and collaboration in the open source community to drive cloud innovation and deliver better products faster than ever.

We already live in a connected world, but technologies like cloud, edge computing, ML, and 5G will profoundly reshape the way people and technology connect and interact with each other, and they will usher in a future that is scarcely imaginable now.

There are a bevy of new technologies in the market to help with IT ops in the cloud--AIOps for example. However, to get the most out of AIOps (or any tech), match the tool to the needs and define the needs--and success metrics--based on your service-level objectives.  

Software testing isn't glamourous, but it's critical. It's also often misunderstood or siloed. However, DevOps has highlighted the importance of testing and the cloud has transformed the testing process, making it faster and easier and freeing up resources to focus on human-centric testing.

Using FinOps to more effectively govern cloud usage and match cost to need to value can help organizations avoid potentially costly reactions, such as overprovisioning.

The COVID-19 pandemic and resulting economic downturn have most likely accelerated a shift to cloud for some companies. Why? Because cloud provides the agility and scalability that can help companies weather this, and other crises, more effectively.  

The disruption caused by the COVID-19 pandemic has encouraged many companies to accelerate their journey to cloud. The impetus? Improved security and business continuity, as well as the scalability to handle this disruption--and the new normal it will create--more effectively.

The world is in crisis, and many businesses are too. However, with the elasticity to enable organizations to scale to need, cloud can help beat back some of that disruption by helping maintain business continuity, which--aside from keeping safe right now--is a top priority.

Intelligent automation can change the way companies automate much of the software production and management process. That's a good thing, but some companies are hesitant. However, in this new "normal" organizations should welcome tools that can help them manage disruption and stay competitive.

The current environment is unprecedented--at least in modern times, and organizations need a strategy for continuity. With its ability to scale to need, cloud can help. Also key will be rethinking operational and IT strategies in the new normal when things settle down.

Cloud adoption is growing, but one obstacle organizations face is a lack of cloud skills within their IT ranks. One solution is to build a cloud learning center to give workers the skills they need to help their companies more effectively realize the potential of the cloud.  

Cloud is transforming the way business is done, but many companies are reluctant to fully automate business processes--especially where data security is a concern. To overcome that reluctance, and gain efficiency, it's crucial to implement effective cloud-governance policies.

Technologies such as artificial intelligence, machine learning, and automation are the future. Companies that invest in new technologies can use it as a force multiplier and reap enormous benefits, but they must retrain their manual workforce to focus on value-added activities.

There's a growing need for top talent in the cloud space and not enough people to fill it. One possible solution? Get more women into the cloud talent pool, mentor them, promote them, and help them become the next generation of great cloud leaders and innovators.

Workflow management is designed to make IT operations flow more smoothly. However, that's not always the case, as the management process often becomes the issue to manage. One solution: effective tools, along with a common language to implement the workflow management process.

New changes in accounting rules may provide more beneficial accounting treatment for cloud costs. However, there will be challenges in implementation. To more easily navigate the changes, companies may need to put new controls in place and invest in more process automation.

Once relegated to IT infrastructure and middleware, open-source software has gone commercial. Cloud providers are taking notice, and the push to leverage open source at the application layer holds tremendous potential to power the future of cloud and drive innovation.

2020 promises to be a breakout year for cloud. But to take advantage of the cloud's potential, companies will need to focus on leveraging AI advances and edge computing, as well as investing in enhanced security to build and keep user trust.

Struggling with delivering apps on time and in budget? Many companies do. Often, the reason is invisible work that robs time from the development process. To fix it requires identifying, and remediating, pain points caused by invisible work, i.e., catching the "thieves" that steal your time.

Even with firm resolution to move to the cloud, many companies struggle with complexity management. Having a thorough understanding of your application environment and a solid strategy to get to the cloud can help. So can putting development guardrails in place and focusing on security.

As the cloud matures, many companies aren't reaping the value they expected. For some, it's because they haven't transformed their IT operations as they've digitally transformed. To maximize the cloud's advantages, however, it's essential to match IT Ops transformation with cloud adoption.