5 Critical Elements for a Successful Cloud Native Transformation
January 29, 2020

Tobi Knaup
D2iQ

Share this

2019 was a big year for cloud computing and we will continue to see growth in the market in 2020. In fact, Forrester predicts that the public cloud market will grow to $299.4 billion.

This year, enterprises that have not yet moved to the cloud will need to take a look at their current strategy and make critical decisions as moving to the cloud is now a business imperative. Embracing a cloud native strategy will create new and exciting business opportunities and insights, however, there are also many complexities and obstacles standing in the way of success.

The following are five critical elements needed for long term cloud native transformation success:

1. Enterprise-Grade Scalability

The reality is that few companies are ready for enterprise implementation of open source technologies. Companies must find a way to achieve rapid technology adoption and scale without sacrificing important capabilities that your business needs to be effective. You need a holistic approach ready to implement these new technologies in the enterprise.

2. Flexibility Across Any Infrastructure

Despite the rapid move to the cloud, many organizations still maintain a combination of on-premise and cloud-based infrastructures. It's critical that you are able to leverage new, cloud-based technologies even if you don't want to (or cannot) completely move to the cloud. You will need that seamless foundation across your infrastructure to successfully scale your architecture.

3. Data-Driven Architecture

Most companies today have massive data needs. Whether you are ingesting data from your customers, developing new data-driven applications, or crunching numbers to better understand your business, you need to have the ability to connect and scale applications.

4. Cloud Native Ecosystem Partnerships

Choosing and implementing the right cloud-native technology is critical to the success of your digital transformation initiative. In order to make those decisions, you need to understand how each piece of technology works together and why you should choose one over the other for your business.

5. Training and Management

The success of your initiative depends on your ability to ensure your key stakeholders and technical team members are on board with your new technology selections. You need them to not only understand why the changes were made and how these changes can impact your bottom line but also needs to make sure that your team is properly trained every step of the way.

Tobi Knaup is Co-Founder and CEO of D2iQ
Share this

The Latest

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...

October 24, 2024

High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...