Cloud computing and IT are starting to prefer experience to an expensive college education. What’s the best hiring strategy in this new normal?
What do you do now? How do you keep your job? There are a few things that could save the project and your career.
Edge computing offers less latency and bandwidth savings, but the lack of standards and problems with interoperability and security still need to improve.
From system design to daily performance tuning, here's a checklist of ways to make your systems run effectively.
GenAI can analyze application dependencies, network configurations, and security risks, but it will mostly help lazy companies that aren't doing this anyway.
In addition to integration and intellectual property challenges, companies may not have the technical expertise to customize or secure open source software.
The cloud is integral to most business operations and spending remains unaffected by lower corporate revenue. Still, let's make the most of your cloud dollars.
AI-based design and development is exciting but it doesn't replace sound, solid architecture and engineering in building and deploying cloud-based solutions.
Enterprises want generative AI, but CIOs need a way to pay for it. Diverting spending from traditional cloud computing may not be the best strategy.
The time is coming when poor IT design and decisions will be outed by finops automation and artificial intelligence. Are you ready to defend yourself?
2023 might be the year of repatriation, but more challenging architectural decisions need to be made besides what saves a few cloud dollars.
These prebuilt components simplify development and offer flexibility and speed, but watch out for scalability, security, and integration problems.
You might think that running back to get a master's degree or joining a country club to make business contacts is the best strategy. It’s simpler than that.
Enterprises facing high cloud costs are taking a more balanced look at where workloads should reside and considering repatriation to a cloud in their own data center.
From data availability and security to model selection and monitoring, adding generative AI means re-examining your cloud architecture.
With the explosion of interest (and money) in generative AI, what will be left for traditional cloud service development and enhancement that companies need?
Finops practices and tools can spot inefficiencies and opportunities to optimize. Here's what to do when you find waste in cloud deployments.
Serverless computing is a popular approach for cloud-based applications, but it's not the best fit in every case. Too often serverless fails to deliver business value.
There are three main career options for most cloud pros: consulting, working in industry, or with a cloud vendor. Are you on the right road for you?
Rural businesses lack easy access to high-speed internet and thus cloud-based resources, causing vast disadvantages that affect the overall economy.
Cloud security is largely siloed by cloud provider. Enterprises are demanding strategic approaches for complex distributed multicloud deployments.
Putting AI on cloud versus on-premises systems may seem like a simple decision, but it's much more complex (and potentially expensive).
A solid finops process can keep the CFO's team happy and everyone out of jail. Too many enterprises lack a formal program, and it's time to get on board.
Like student loans and credit card balances, technical debt is holding you back or even killing your business. Unfortunately, the cloud can't always save you.
Cloud was the go-to choice for the past five years, but we could see traditional systems become more viable. Savvy architects consider all the options.
Should budget go to innovations or fixing existing systems so they don’t bankrupt you? The future of your business may ride on the answer.
AI-driven coding is now in wide use, but we may not know all the risks of using it until the damage has been done. Think security problems and code that wastes resources.
Microservices came in with a great deal of momentum a few years ago, but now we’re seeing their drawbacks for applications on cloud platforms.
Powered by edge computing, IoT, and 5G, today's systems are decentralized, context-aware, and real-time interactive.
As the costs for cloud services continue to rise, companies need to determine if the business value of those services is worth the price tag.
The push to adopt generative AI in the cloud will lead to new roles and needed skills, and enterprises will likely pay top dollar.
Too many IT shops just accept that autoscaling systems are right for them, at least until the massive cloud bill arrives.
Without proper data governance, interoperability, and access control, enterprises have no hope of maximizing the business value of their data.
Many cloud leaders prefer one technology selection over another, to the detriment of the business. It’s time we learn to be much more objective.
Many enterprises are finding that the applications they migrated to public cloud providers could be more cost-effective… to put it mildly.
Let's talk about how you can stay off the growing list of companies that have been hacked. Spoiler alert: It takes money and commitment.
Data center hardware is cheap and cloud costs are high, complicating the business case for public cloud usage. Here’s how to evaluate your options.
No one doubts the power of AI, but enterprises must realize it can also lead to deploying too many applications, scaling problems, and cost overruns.
If you haven't learned yet, multicloud isn't something you can wing. Now the enterprises that didn't make solid plans in the first place need real solutions.
The powerful capabilities of ChatGPT are being used against enterprise systems. Malicious packages and AI hallucinations are a few of the growing threats.
Everyone loves to use new technology, but sometimes it’s counterproductive. Business case should drive technology choices, not the other way around.
The cool kids are into cloud optimization these days, saving money and making deployments much more efficient. Here are a few trends you should know.
Get ready for the rush of generative AI applications heading your way in 2024, but watch out for the size of the bill. Who is going to pay for it?
Underestimate the complexity and cost of cloud computing backup and recovery and you risk missing data and lost customers. Here’s what to do.
Applications that span multiple public clouds are becoming more popular, especially with Kubernetes and containers, but think carefully.
You chose on-premises systems behind a firewall for security. Don’t look now; cloud-based systems may carry out those operations on the firewall's other side.
Discounts or better service may come with big strings attached. Losing the ability to chase innovations or adjust to market changes may not be worth it.
As cloud computing becomes a scarier place given the rise in threats, it’s time to focus on the basics of ASM that safeguard cloud applications and data.
Seeing spending in real time might increase or decrease cloud utilization for enterprises. In what cases will finops recommend a return to traditional systems?
The ability to build systems out of reusable and interchangeable parts has been growing for the past 30 years. We are finally getting there with cloud. Expect big changes in the near future.
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