Latest Cloud Opinions
Not a lot of 55 year-olds look as good as the mainframe.
Back in 1964, along with the release of The Beatles’ legendary A Hard Day’s Night and cinematic classic Mary Poppins, came the release of IBM’s groundbreaking IBM System/360.
Since then, mainframes have established themselves in the vast majority of business critical applications as the beating heart of technical infrastructure. So much so that the mainframe market is expected to grow by a further 4.3% by 2025, bringing it to a worth of nearly $3bn per annum.
Cybercrime is getting smarter and data is growing in value. So, as cyber-attacks become more sophisticated, businesses need to rise to the challenge and protect their digital operations. This October is National Cybersecurity Awareness Month, which aims to draw attention to the threats that are putting businesses, and individuals, at risk. To highlight the importance of this awareness month, Techerati spoke with seven industry experts to get their thoughts and advice.
With the proliferation of 5G, AI, Big Data, IoT and social media, all of which reside in the cloud, there is an ever-increasing demand for energy in data centres.
Take popular consumer data storage platforms, which for the majority of society constitute the cloud. At the Data Centre Re-transformation Conference held last month in Manchester, Uptime Institute revealed it requires 666GWh/year on average to store a selfie on the cloud (assuming the photo is 2.5MB and 6.5kWh/GB is required for annual storage, and given that on average each of the UK’s 41M cloud users store 1000 photos per year).
The shift towards cloud native architectures and micro services has accelerated the need to integrate security into DevOps environments.
I’ve seen first-hand how modern architectures have given agile DevOps teams a new and unparalleled velocity to create, release and deploy. But with that boost in speed comes the need to bolster processes and secure application estates.
The traditional handovers for software development are now obsolete. DevOps teams can do them autonomously and are encouraged to do so. Whilst that’s all well and good, as technical leaders we’re obliged to inspect our operations and introduce new methods to ensure pipelines remain secure. Modern checks and balances should automatically detect and reject forbidden changes before they are even applied.
In a few short years, Slack has transformed from a relatively unknown cloud application into one of the most popular team collaboration solutions in the world. For many enterprises, Slack is initially used in small, unsanctioned (shadow IT) deployments amongst internal workgroups. From there, use of the app typically balloons so quickly that it simply cannot be ignored. Today, Slack boasts over 10 million daily active users and more than 85,000 paying customers worldwide.
Across the board, the bottleneck-reducing philosophy of DevOps has become the central approach for cloud-native enterprise software development and deployment, ushering in a cultural shift in how processes, code and technology are delivered.
According to 2019 Accelerate: State of DevOps report, companies who get DevOps right deploy 208 times more code, deploy it 106 times as fast and are able to recover 2,604 faster from incidents. This has not stopped DevOps attracting critics, criticisms that I put to Bill Kleyman, EVP of Digital Solutions at Switch.
No other technology has captured the world’s imagination quite like AI, and there is perhaps no other that has been as disruptive. AI has already transformed the lives of people and businesses and will continue to do so in endless ways as more startups uncover its potential. According to a recent study, venture capital funding for AI startups in the UK increased by more than 200 percent last year, while a Stanford University study observed a 14-times increase in the number of AI startups worldwide in the last two years.
The popularity of IoT will only see increased data volumes, requiring businesses to invest the time to accurately monitor and analyse trends to get the most out of their IoT infrastructure. Failure to do so will leave organisations with a large vacuum of untapped data and a blind view of IoT operations.
“DevOps is not about what you do, but what your outcomes are,” said the wise Gene Kim, and we would do well to heed his direction. What he’s urging us to remember is that while DevOps is about enabling a faster speed of working throughout the development process, fundamentally it needs to help in achieving results. Unfortunately, this often gets forgotten in modern-day DevOps practices.
Here are five common mistakes that can occur in DevOps if the end result is not constantly top of mind and how you can avoid falling into these dangerous traps.
Within the next two years, the amount of smartphone users will reach over 2.87 billion, from 2.57 billion users today. The majority of these users have always-on internet connectivity, providing them the ability to control devices from the palm of their hand, but how does this functionality connect to devices at home or at work?
When your individual devices are secure, the main point of entry into your IoT is going to be through your main network. There are many different methods that you can use to secure your networks against potential threats, but here are a few of the most effective:
The cloud is king, and organisations of every shape and size can benefit by considering whether or not this technology could work for them. With the variety of options a hybrid cloud solution brings, even organisations in the public sector—restricted as they are—can find a solution to work for them.
The convergence of AI and edge computing is still in its infancy, but together they hold the potential to revolutionise the lives of consumers and businesses alike. But it is not a marriage without its challenges.