Enterprises are leaning into finops systems to cut costs. However, if that’s the only metric, you could derail the overall business benefit of cloud computing.
AI will drive tremendous net-new cloud growth, despite claims that we’re in a downturn. Optimizing your cloud systems has never been more important.
At some point, cloud will be baked into all of IT—just another building block of how we automate business. All the more reason to get it right the first time.
Dealing with humans may be more important than dealing with technology, especially now that many IT people are returning to in-person work.
Repatriation is a good move for ill-fitting workloads in the cloud, but these mistakes can make things worse. Know your workload and what you gain or lose.
Many say to cut cloud computing in a slowing economy, but it's not that simple. Use these strategic moves to position yourself to lead the recovery.
We thought cloud was all about cost savings, but that metric was wrong. We need to put a value on the agility and innovation cloud brings, not just dollars and cents.
Enterprises are putting their sensitive data in the cloud, but both sides are responsible for security. Be sure your cloud provider is aware of these threats.
The hype around generative AI is white hot, and cloud operators are excited about the possibilities. First, let’s anticipate the unique problems it can cause.
As sustainability becomes a front-and-center topic for enterprises, stubborn misconceptions about the power consumption of cloud-based deployments need debunking.
The 'container tax' means companies pay more to use containers in the cloud. Applications with artificial intelligence are no different. Make sure AI is worth it.
The marketing games continue. AI is the new spin causing a great deal of confusion in the world of cloud computing.
You've probably heard that multicloud avoids lock-in, is more cost-effective, and shouldn't include legacy systems. Sorry to say, but that's all wrong.
Cloud security threats are increasing in both frequency and intensity. We need better visibility into potential threats and proactive approaches to addressing risk.
For companies that are required to keep data within a specific country or region, a sovereign cloud may be a key part of a multicloud deployment.
Many complain about the performance of their multicloud deployments these days, and for good reasons. Here are a few areas to look for answers.
We’re experienced with multicloud, but we’re also making common mistakes. Make sure you plan common services and have all your people on board.
Architecting for scalability will soon become a lost art. Most architects overlook autoscaling with predictive analytics, resource sharding, and cache invalidation.
Once out of reach for smaller companies, quantum computing services level the playing field. Providers offer access, development kits, and training at more affordable prices.
Many enterprises follow the crowd and choose as many hyped concepts as possible. Don't do it. Work from the requirements to the solution, not the other way around.
Cloud finops can save you tons of money on cloud spending and return more value to the business. Unfortunately, mistakes are costing companies big time.
All the people using DALL-E to create images or letting ChatGPT write their term papers are eating up a lot of cloud resources. Who’s going to pay for all this?
We’re getting closer to true zero-touch cloud operations, or so we keep hearing. Take a clear-eyed look at the advantages and disadvantages before jumping in.
A close examination of specific business needs may reveal that staying in the cloud is the best choice for most applications and workloads.
If multicloud is your preferred architecture, you better have a solid plan for interoperability, security, portability, and centralized management. Do you?
More clouds, more complexity, more challenges. Now’s the time to prepare for the impact multicloud will have on your devops teams.
Amid the popularity of ChatGPT, MLops spending will surge in 2023 as leaders increase investments in machine learning. Cloud pros should take a look.
Cloud-native development is having a great run of popularity and growth, but complexity and vendor lock-in are the trade-offs for agility and reliability.
AI systems get more impressive every day. Today’s AI can automate the tasks of many information workers, so those in cloud jobs worry they're next.
The idea of cloud repatriation is sensitive and often misunderstood. Let’s do some back-of-the-napkin calculations to see where it might make sense.
Vertical industry clouds have key capabilities that were missing in the past. With various granularity levels and better integration, vertical clouds will work this time.
It's old news that some enterprises are not getting the expected value from cloud computing. It’s time to be real about the core causes and how to fix things.
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?
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