DevOps teams started using containers and Kubernetes in test/dev environments. Over the past couple of years, their use has grown and there is significant container and Kubernetes growth in production environments as well. DevOps teams are now adopting containers across the software development lifecycle.
In 2019, cloud computing truly became mainstream, more than ever and the trend is here to stay.
As more and more businesses from all industries rush to migrate to the cloud and build cloud-based applications, Gartner predicts that the public cloud services market will grow 17% next year, from US$ 227.8 billion in 2019 to an estimated US$ 266.4 by the end of 2020. And a recent Forrester report estimates that the market will grow to a total of US$ 411 billion by 2022.
Technology, data and a highly-connected team are more important than ever for businesses of any size. Traditional, offline solutions can be effective, but many businesses are finding that there are better answers.
Now, many companies are turning to solutions on the cloud to provide their teams with storage, speed and tools they wouldn’t have otherwise.
Moving to the cloud takes you out of the data center business and enables you to focus your company’s efforts on what it does best. Cloud providers have a massive advantage over in-house and on-premises solutions in that they are backed by millions of dollars of research and development, as well as an international network of hardware dedicated to providing the best possible IT solution for their clients.
The ripping benefits of cloud computing have been widely touted – business agility, scalability, efficiencies and cost savings among the top. Fortunately, more and more companies are seen migrating and building mission-critical Java applications specifically for cloud environments showing no signs of slowing down. At the same time, such technology has exposed us to threats and risks previously unheard of.
Cloud security is the protection of data, applications, and infrastructures involved in cloud computing. Just like on-prem IT security, cloud security still has concerns like unauthorized data leaks, weak access controls, susceptibility to attacks, and threats to availability.
There are multitude of reasons many companies are migrating to the cloud. Some are migrating to the cloud to aid in increasing the productivity of their IT staff, as well as the overall workforce. Others are looking to scale down data centers, help to lessen infrastructure sprawl, and modernize legacy applications. Additionally, some organizations are re-thinking…
Whether you are planning to migrate a single critical application, or a major portion of your infrastructure, thorough research and a mindful approach are needed before transitioning to the cloud. Many IT groups have struggled moving key enterprise applications to the public cloud, learning from their mistakes, they used these lessons learned for greater success in subsequent migrations.
If you’re one of the many thinking of moving your IT infrastructure to the public cloud or have committed to the idea, but are struggling how to go about it, you don’t want to be the one caught trying to re-create the wheel only to fail miserably. Using the lessons learned from those that have gone before you, helps to maximize your chances of a successful cloud migration on the first attempt. If done right some of the benefits to be realized are reduced cost, streamlined day-to-day operations, IT team expansion, flexibility, and scalability, just to name a few.
The IT job market has always shifted as technologies advanced, but cloud computing has pushed changes in the market to speeds never seen before. The job market for cloud architects changes as rapidly as the technology itself. At AWS Re:Invent 2018 last week, AWS announced 30+ new significant services alone. Then there is Microsoft, Google, and all the smaller players to keep track of.
As more enterprise IT operations organizations move to container technology, IT administrators are having to morph into DevOps roles to deal with the container orchestration systems within IT production. These include systems like Docker Swarm, Apache Mesos, and Google Kubernetes, as well as a handful of lesser known players. Container technology has become a reliable way to quickly package, deploy and run application workloads without the need for concern of the physical underlying hardware or operating systems.
Just as important as the containers themselves is the container orchestration technology. These products allow you to start and stop containers through scheduling. They also allow you to scale container usage through managed container clusters. Enterprise data centers have come to expect 99.99% uptime, and introducing new technologies puts a lot of pressure on those individuals expected to run them.