Just how many influential tech blogs are out there?
You may be wondering which you should be following. And which it’s best to avoid.
We’ve gathered together a short list of blogs that have been visited most by people who share your interests and aspirations.
IBM, Lenovo, VMWare and Juniper Networks have teamed up to tackle all of my previously stated discussion points to make your choices easier and simpler to support too!
Industry standard technical vendors that have collaborated together and produced a product that allows you to migrate legacy, extend your enterprise with “cloud ready” options that include sandboxing and migrations to public clouds whilst ensuring that robust networking security concepts are adhered to!
All of this is now possible with this collective and with IBM’s acquisition of Red Hat it’s just got better!
Digital transformation creates cost optimization as well as full engagement of resources.
This transformation will lead to transparent decision making due to the new ability to see data from all angles.
Technology will also be updated with state-of-the-art capabilities.
In the past 10 years I have worked with many companies in transforming their business.
I would like to share that I have been rather impressed with the IBM technology around data and getting you ready for AI.
Unified, multi-cloud data and tools are a leap forward for Analytics – and they’re already a technical and business success story.
IBM’s Cloud Pak for Data, for example, has been proven to deliver a 77% improvement in both strategic planning and business efficiency – and it’s also been made more accessible to many businesses through Cloud Developer Credits.
Proof, if any were needed, that when clouds work together, they can deliver gold dust, not just a silver lining.
Companies large and small can use the IBM Blockchain Platform to simplify the developmental, governmental and operational aspects of creating a blockchain solution.
IBM Blockchain enables you to easily migrate from POC to pilot, all the way through to production on a secure, high performance, and fully scalable production network that you can’t outgrow.
The IBM Blockchain Platform gives you everything you need to create, test, govern and manage a working blockchain network, so you can accelerate creation of blockchain applications in a variety of cloud environments.
Whilst having robust management, deployment, security and networking is a must, fast reliable (and scalable) compute and storage is also critical for enterprise technology to provide the ground roots of computing environments for your data workloads.
Last but not least your enterprise IT environments need additional future proofing services available for easy upgrading and overall management of services running in and around your IT estate as well as giving you a set of helping hands when you need it.
So who are the collective that has formed the infrastructure alliance to overcome all of the above?
VMWare, Juniper, Lenovo, and IBM.
An important thing to remember is that one needs to think about the developer’s needs and how to design an environment that meets all the criteria for an effective cloud infrastructure that can serve the business today, yet scale and adapt for tomorrow’s needs.
This is why IBM and others are creating distinctive tools and containers that are loosely coupled and that can be used and shifted to any changing architecture.
What I also noticed in the Cloud conversations I was having with the technical experts I’m connected with throughout the industry and especially at IBM was that two terms – Big Data and Analytics – often dominated our dialogue.
The fact that these terms seemed indivisible from the wider Cloud conversations gave me my theme: how important are Big Data and Analytics for the Cloud journey?
And what must developers focus on to ensure that they deliver Big Data and Analytics benefits that continue to meet the ever-advancing requirements of their Cloud users?
Artificial Intelligence and Machine Learning are bringing data-driven intelligence to DevOps, enabling smart testing and critically, helping to reduce data complexity to enhance human capabilities.
Supporting this human-machine partnership, IBM Watson is now available everywhere, capable of running on any cloud, whether it be private, public or hybrid.
By being portable, AI can now be deployed wherever a business’s data resides, breaking open typically silo-ed infrastructure.
I now want to delve a little deeper, exploring some of the issues that accompany the Cloud “journey” – and in this post, that’s the twin challenges of integration and migration, both of which I’ve been discussing recently with folks in the industry and particularly at IBM.
According to IBM CEO Ginni Rometty, it’s “Chapter Two” for those who’d like to place their mission-critical workloads wherever they want in the cloud.
Blockchain is essentially a digital ledger used to record transactions but secured due to its encrypted and decentralised nature.
During 2019 some commentators began to argue that the technology was over-hyped and perhaps not as useful as first thought. However, continued investment by the likes of FedEx, IBM, Walmart and Mastercard during 2019 is likely to start to show real-world results, and if they manage to prove its case, could quickly lead to an increase in adoption by smaller players.
I was amazed by the announcements from IBM Systems around an industry first (I think) for security of data entry and exit points, and most importantly the ability to manage and control said security at a touch of a button (or a click of a mouse).
I advise many startup organizations in this very subject.
Scalability can make or break (lack of it) any organization and the same is true with technology.
It has become a must — not a nice-to-have — for cloud-native initiatives when discussing interoperability and growth.
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