Everyone wants top-of-the-line cloud architecture, but many are finding they have to compromise and work with the skills they can find and afford.
Enterprises must balance their interest in artificial intelligence with cloud cost overruns. It's a good time to look at the value cloud-based AI actually brings.
With cloud costs and complexity higher than expected, many enterprises are making a U-turn and putting applications and data back in traditional systems.
Look forward to a new year and new ways to beef up your cloud computing skills. Here are some ways to prepare for whatever the future may bring.
The pandemic caused a huge cloud computing growth spurt, and cloud is now the foundation for all emerging technology. Growth will continue, but the rate is debatable.
As enterprises seek industry clouds to boost their overall cloud ROI, they should architect with integration and security in mind and not limit their choices to one provider.
Containers are being sold as a cure-all for cloud computing systems, but they have a specific purpose, and in many instances should not be used.
Making your cloud deployment cost-efficient kills two birds with one stone: It saves money and helps your sustainability goals.
The past few years saw the proliferation of multiclouds and tools to manage them. Now it's time to update your strategy to maximize multicloud ROI.
Small inner circles that control overall cloud strategies and deployment decisions are on the rise, even though it isn't in the best interest of the business or IT.
Cloud security and IT security in general often overlook complexity. It’s not taught in security courses, and most experts don’t consider it in risk analytics.
Recent trends show a return to cloud fundamentals, such as data, development, deployment, and security, rather than chasing what’s new and cool.
It’s the week of AWS re:Invent and time for end-of-the-year cloud planning. Hopefully, we’ll see a shift in thinking toward making more effective use of cloud computing.
Next year may change the cloud world as enterprises face lower budgets and a demand for ROI. It's time for planning and strategy to become the dominant trend.
Whether we're in a definite cloud spending downturn or not, strategically using periods of uncertainty can prepare the business for the future.
We could see more companies shift to multicloud in 2023, using container orchestration, federated development, and deployment. Now we just need the big providers on board.
When you look at your operations data, do you know what you’re seeing? Observability can help you gain more insights from complex cloud deployments.
Automation is one of the greatest gifts to cloud architecture, operations, security, and finops. Yet, many architects still are reluctant to use it. What's so scary?
So far, cloud spending is durable through economic turmoil. However, it won’t last forever, especially for enterprises that are not seeing ROI because of poor planning.
Enterprises have found smarter ways to move workloads to the public cloud. Systems that are better optimized make the most of cloud computing.
The cloud boom and its resulting issues are boosting the pay and prestige of certain roles. Here's what it takes to be an architect, operations engineer, or security engineer.
New data shows that many enterprises are not approaching cloud security correctly, and it’s going to lead to unpleasant consequences.
Did our focus on IaaS security come at the expense of SaaS security? Know what to guard against, especially excessive user permissions and misconfigured UIs, APIs, and integrations.
A new study predicts freezes in cloud spending. Poor cloud ROI is largely self-inflicted and can be mitigated with careful planning and realistic expectations.
The only certainties in life are death, taxes, and cloud lock-in. Let’s look at the reasons behind lock-in reality and why it’s so difficult to avoid.
Attempted breaches are on the rise and cloud security professionals are forced to play 'Whac-A-Mole' with attacks. Are you ready to rethink your cloud security strategy yet?
Everyone jumped to cloud computing to save money but got the opposite. Cloud ROI will require optimization, finops, and refactoring before it lives up to past promises.
Cloud-defined, cloud-operated cars are the future of the auto industry. Innovating to make cars better, safer, and more efficient will be the next cloud battleground.
Some people say edge is the next revolution, but the gap between promised performance and actual results needs to be discussed.
Hybrid work would not be possible without cloud computing. However, enterprises should address these mistakes before they kill productivity.
Devops is always good for application development productivity, right? Think again. If you're missing tools and talent, your cloud development can quickly go off the rails.
The good, the bad, and the ugly of a decade of cloud computing: Security and agility are definite wins, but cost and complexity are serious drawbacks.
The sticker shock of cloud computing bills has many in the C-suite looking for answers. A solid finops program can close the budget holes and pay for itself.
Finops can show where all your cloud spending goes, but sometimes penny-wise is pound-foolish. Account for human costs and monitor all your clouds.
Many IT mistakes track back to insufficient planning and rushing to a physical architecture. Let’s go back to the basics.
Don’t look now, but criminals are using public cloud services. 'Cloud cop' could be a real opportunity for those interested in both law enforcement and cloud.
Designing and deploying a single cloud architecture may not prepare you to take on a multicloud, especially where security and cost optimization are concerned.
Manual cloud security often leads to a major breach. Helping leadership understand the risks can make the case for funding to do it right.
Prepare for battle in the conference room. A good cloud finops program should review cloud solution architectures to reduce cost and optimize cloud value.
Where are the savings enterprises expected ? A finops program that monitors cloud spending, creates accountability, and optimizes cloud resources will usually solve the problem.
Multicloud complexity is moving from a theoretical cloud architecture problem to a financial one, and businesses are suddenly searching for solutions.
In most cases, cloud computing is greener than traditional data centers. Just how green depends on the details of each individual deployment.
A lot of hype is swirling around the new ‘metacloud’ or ‘supercloud’ buzzword. Let’s just focus on what should go into a cross-cloud technology stack.
IT is now seen as integral to business rather than a cost center ripe for layoffs. Technology, people, and culture are worth protecting during economic contractions.
AI/ML model training and knowledge-based storage and processing are more costly on a cloud than many thought, and prices for compute and storage equipment have fallen.
Too many people are designing cloud architecture that is cool but too complex. The most successful architects use the KISS concept and keep it simple, stupid!
The people deploying multicloud will tell you that 'security is a nightmare.' Cross-cloud abstraction and automation of security services is the right solution.
Using application modernization to pursue cloud-native development at all costs or to gain portability and avoid vendor lock-in are expensive decisions.
Few enterprises can effectively leverage their data inside or outside of the cloud, and a new study says that's still the case. It's time to make a plan.
My last post about the emerging ‘metacloud’ or ‘supercloud’ struck a nerve. Here’s a follow-up to your comments and questions about the future of cloud-based systems.