Imagine if you will, a retail floor so densely packed with sensors that they can pick up the movements of insects scurrying across a store aisle. Or a component of a piece of factory equipment so well-instrumented that its digital twin provides resolution down to the micrometer.
The word polymorphism is used in various contexts and describes situations in which something occurs in several different forms. In computer science, it describes the concept that objects of different types can be accessed through the same interface. Each type can provide its own, independent implementation of this interface. It is one of the core concepts of object-oriented programming (OOP).
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. This leads to a waste of cloud resources and increased operational overhead.
It’s conference season and, as you might expect, Jason and I have been on the road covering a bunch of them. It’s always great to see what the disruptive players in the market are doing — and this year did not disappoint. But there is one thing that repeatedly happens that just gets under my skin: transformation-washing. As Jason explained in a Forbes article over a year ago, ‘washing’ is when a vendor (or pundit) applies a buzzword loosely in an overt attempt to attach themselves to its buzz. And transformation-washing is rampant.
This is the time of year when everyone makes his or her predictions for 2018. I have my predictions as well, but wanted to do something a bit more fun. So I thought I’d look backwards to the state of technology 50 years ago to gain some insights that we can use to make projections about 2018. That is, what “predictions” made in the 1950’s might tell us about 2018. However, it’s really hard to find predictions about the future made in the 1950’s. There was no Internet or Social Media or Reality TV, so I found the next best proxy…sci-fi movies! I decided to review the most popular sci-fi movies from 1950’s, and provide my perspective as to what these movies might tell us about 2018. Maybe drink a Tab or Fresca as you read this.
As we head into a new year, IT improvements and management should be top of mind for any business looking to amp up their customer experience, delivery and service in 2018. Recently, at CA World ‘17, I talked about how every business strategy is now an IT strategy. With that in mind, I have a few predictions for 2018 that I encourage companies to have on their to-do list as they look to find greater success in the new year.
The hotel and hospitality industry, enabled with advanced technology and more collaboration with associated businesses, will see some important trends in 2018 as hotel brands reinvent themselves to cater to a new type of clientele. Millennial guests will dominate the landscape, and reshape the industry with demands for more automated options and conveniences and the ability to do everything from a smartphone, and hotels - eager to deliver more conveniences to this younger audience - will forge closer alliances with retailers and community destination
This is the time of year when everyone makes his or her predictions for 2018. I have my predictions as well, but wanted to do something a bit more fun. So I thought I’d look backwards to the state of technology 50 years ago to gain some insights that we can use to make projections about 2018. That is, what “predictions” made in the 1950’s might tell us about 2018. However, it’s really hard to find predictions about the future made in the 1950’s. There was no Internet or Social Media or Reality TV, so I found the next best proxy…sci-fi movies! I decided to review the most popular sci-fi movies from 1950’s, and provide my perspective as to what these movies might tell us about 2018. Maybe drink a Tab or Fresca as you read this.
How is DevOps going within your organization? If you need some help measuring just how well it is going, we have prepared a list of some key DevOps metrics to track. These metrics can help you understand how your team is doing over time. The word DevOps means different things to different people. Some say it a culture and every vendor in the industry claims that their tools help with DevOps. Depending on how you define DevOps, some of these metrics may matter more or less to you and your team.
The hotel and hospitality industry, enabled with advanced technology and more collaboration with associated businesses, will see some important trends in 2018 as hotel brands reinvent themselves to cater to a new type of clientele. Millennial guests will dominate the landscape, and reshape the industry with demands for more automated options and conveniences and the ability to do everything from a smartphone, and hotels - eager to deliver more conveniences to this younger audience - will forge closer alliances with retailers and community destination
We’re seeing an emerging trend in the cloud computing world. I’ve been referring to it as cloud fatigue, but it’s more commonly known as repatriation, or moving workloads from the cloud back to on-prem locations. According to a recent 451 Research report, over 21 percent of organizations have plans to pull back from the cloud and return to an on-prem infrastructure in 2017. Considering the vast growth of cloud adoption over the last several years, what’s behind this trend?
As we head into a new year, IT improvements and management should be top of mind for any business looking to amp up their customer experience, delivery and service in 2018. Recently, at CA World ‘17, I talked about how every business strategy is now an IT strategy. With that in mind, I have a few predictions for 2018 that I encourage companies to have on their to-do list as they look to find greater success in the new year.
How is DevOps going within your organization? If you need some help measuring just how well it is going, we have prepared a list of some key DevOps metrics to track. These metrics can help you understand how your team is doing over time. The word DevOps means different things to different people. Some say it a culture and every vendor in the industry claims that their tools help with DevOps. Depending on how you define DevOps, some of these metrics may matter more or less to you and your team.
The word polymorphism is used in various contexts and describes situations in which something occurs in several different forms. In computer science, it describes the concept that objects of different types can be accessed through the same interface. Each type can provide its own, independent implementation of this interface. It is one of the core concepts of object-oriented programming (OOP).
Decentralization of everything, the great new idea of which the web can’t stop babbling, might still seem a bit utopian if you inspect it closely. Yes, blockchains are likely to reshape our economy, or a huge part of it, and benefit considerably those who are currently unbanked. They might also facilitate the creation of rating/reputation systems that are not controlled by any single entity and thus allow people (say Uber drivers who’d like to work for Lyft) to switch employers without having to establish their credibility anew. They might give users complete control over their assets; protect them, to a degree, from being robbed and provide tools to sustain privacy even when a state-level actor – a bank or a government – is after their identity.
Decentralization of everything, the great new idea of which the web can’t stop babbling, might still seem a bit utopian if you inspect it closely. Yes, blockchains are likely to reshape our economy, or a huge part of it, and benefit considerably those who are currently unbanked. They might also facilitate the creation of rating/reputation systems that are not controlled by any single entity and thus allow people (say Uber drivers who’d like to work for Lyft) to switch employers without having to establish their credibility anew. They might give users complete control over their assets; protect them, to a degree, from being robbed and provide tools to sustain privacy even when a state-level actor – a bank or a government – is after their identity.
This phrase is new and it originated at Netflix back in 2010. I was listening to Nora Jones, a Netflix engineer at the AWS re-Invent conference few weeks back, where she talked about this. The principle of Chaos goes like this, “Chaos Engineering is the discipline of experimenting on a distributed system in order to build confidence in the system’s capability to withstand turbulent conditions in production.” Distributed systems have too many moving parts and failures can occur at various levels – hard disks can fail, the network can go down, a sudden surge in customer traffic can overload a functional component—the list goes on. All too often, these events trigger outages, poor performance, and other undesirable behaviors. Chaos Engineering is a method of experimentation on infrastructure that brings systemic weaknesses to light. This empirical process of verification leads to more resilient systems, and builds confidence in the operational behavior of those systems.
The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Copying off since 2012, rather than thinking up my own, I figured I’d regurgitate what many others expect to happen. Top 10 Cyber Security Predictions for 2018 – Infosec Institute kicks off this year’s Top 10, Top 10 list with a look back at their 2017 predictions (AI, IoT, etc.) and dives head first into 2018 noting that Ransomware will be the most dangerous threat to organizations worldwide; cryptocurrency will attract fraudsters looking to mine; cloud security will (again) be a top priority; cyber insurance will explode and cyber-bullying, especially for teenagers, is at the emergency stage.
Bitcoins are a digital cryptocurrency and have been around since 2009. As a substitute for legal tender, they are becoming the rage for investors and others but because there is no government agency auditing or performing regulatory oversights, you wonder if it is the perfect breeding ground for electronic nanocrime. Since the introduction of the Bitcoin, some competitors have emerged and the whole segment of cryptocurrencies are defined as Altcoins. Altcoins include Dogecoin, Ethereum Feathercoin, Litecoin, Novacoin, Peercoin, and Zetacoin. Some of these cryptocurrencies are considered improvements on the original Bitcoin algorithm structure, and they are gaining some traction as well.
Bitcoins are a digital cryptocurrency and have been around since 2009. As a substitute for legal tender, they are becoming the rage for investors and others but because there is no government agency auditing or performing regulatory oversights, you wonder if it is the perfect breeding ground for electronic nanocrime. Since the introduction of the Bitcoin, some competitors have emerged and the whole segment of cryptocurrencies are defined as Altcoins. Altcoins include Dogecoin, Ethereum Feathercoin, Litecoin, Novacoin, Peercoin, and Zetacoin. Some of these cryptocurrencies are considered improvements on the original Bitcoin algorithm structure, and they are gaining some traction as well.
This phrase is new and it originated at Netflix back in 2010. I was listening to Nora Jones, a Netflix engineer at the AWS re-Invent conference few weeks back, where she talked about this. The principle of Chaos goes like this, “Chaos Engineering is the discipline of experimenting on a distributed system in order to build confidence in the system’s capability to withstand turbulent conditions in production.” Distributed systems have too many moving parts and failures can occur at various levels – hard disks can fail, the network can go down, a sudden surge in customer traffic can overload a functional component—the list goes on. All too often, these events trigger outages, poor performance, and other undesirable behaviors. Chaos Engineering is a method of experimentation on infrastructure that brings systemic weaknesses to light. This empirical process of verification leads to more resilient systems, and builds confidence in the operational behavior of those systems.
The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Copying off since 2012, rather than thinking up my own, I figured I’d regurgitate what many others expect to happen. Top 10 Cyber Security Predictions for 2018 – Infosec Institute kicks off this year’s Top 10, Top 10 list with a look back at their 2017 predictions (AI, IoT, etc.) and dives head first into 2018 noting that Ransomware will be the most dangerous threat to organizations worldwide; cryptocurrency will attract fraudsters looking to mine; cloud security will (again) be a top priority; cyber insurance will explode and cyber-bullying, especially for teenagers, is at the emergency stage.
Robotic process automation (RPA), a concept that has emerged over recent years, is still in a state of rapid evolution, existing without a clearly defined end-state or direction. As such, vendors are experimenting and pushing their products into uncharted waters - successfully or otherwise. Nonetheless, we can be sure that artificial intelligence and machine learning will continue to develop and impact on automation solutions as whole, even if at the moment these capabilities do not frequently exist within the RPA space.
Robotic process automation (RPA), a concept that has emerged over recent years, is still in a state of rapid evolution, existing without a clearly defined end-state or direction. As such, vendors are experimenting and pushing their products into uncharted waters - successfully or otherwise. Nonetheless, we can be sure that artificial intelligence and machine learning will continue to develop and impact on automation solutions as whole, even if at the moment these capabilities do not frequently exist within the RPA space.
Every year about this time, we gaze into crystal balls to divine the future of our industry – or at least where it’s headed over the next 365 days. The result is often a triumph of incrementalism: we predict that we will get more of what we already have. The truth is, technology isn’t as revolutionary as we often think – and commenting on incremental changes alone may not help us understand what lies ahead. Along with a few near-term predictions – so hard to resist – I’d also like to make some predictions not just about technology per se, but about related changes to organizations, processes, and the cultures around them. Here’s my main prediction: By 2030 what we’ve come to know as “IT” today will be virtually unrecognizable.