Tag: Hybrid Cloud

  • Technology contained

    Technology contained

    Over the past decade container technology has become a popular method for packaging applications in an effective way. Some developers believe is better than that offered by virtual machines and other technologies.

    Container technology has been embraced by the big cloud computing providers including Microsoft Azure, Amazon Web Services, and Google’s Cloud platform.


    Examples of the actual container software include the Apache Mesos, Docker, rkt (pronounced rocket), and Kubernetes.

    But what is container technology?

    Logically, it gets its name from shipping. Shipping containers standardize how goods are moved around. Goods get placed in steel shipping containers which can be picked up by cranes and fit into ships. They tend to have standard sizes.

    By standardizing the process and keeping the items together, your container can be moved as a unit and it costs less to do it this way.


    In computer terms, container technology is referred to as just a container: a method to package your applications so they can be run, with their dependencies, isolated from other processes.

    Container technology decreases the potential for problems when developers move programs from server to server before the program is in a state where it is saleable.

    When you use container technology to create an application, you can code everything using just one operating system and database. This makes the application quite easy to replicate as resources including memory and the central processing unit (CPU) are shared. This also makes your technology great for scaling and for working within the cloud.

    Out with the old…

    If you don’t use container technology, you can have a situation where a program runs well on one machine but has problems on your server. This common problem occurs when you move a program from a data server to a cloud server.

    Many issues can happen because of variations in machine environments. These include differences between your operating system, secure sockets layer libraries, storage, and network topology.

    So, computer container technology picks up all of your software and related parts which include dependencies, being libraries, binaries, and configuration files. They all get migrated as a unit, avoiding the differences between machines including operating system differences. This will also include underlying hardware that leads to incompatibilities and crashes.

    web scanner

    And, importantly, containers also facilitate the deployment of your software to your server. Advocates of using container technology say it is a much better tech to use than that which preceded it – virtual machines.

    In this case, one physical server would be used for multiple applications through visualization technology. Each virtual machine contains the entire operating system, as well as the application to run.

    The physical server then runs several virtual machines, each with its own operating system, with a single hypervisor emulation layer on top. By running several operating systems simultaneously, you incur a lot of overheads on your server as resources get used.

    …and in with the new

    Container technology allows your server to run a single operating system because each container can share that system.

    The parts of your operating system that are shared are read-only to not interfere with the other containers. Therefore, compared with virtual machines, containers require fewer resources of the server, and are much more efficient.

    You can pack many more containers onto a single server. Each virtual machine may require you to have gigabytes of storage. But each container running a similar program may only need megabytes.

    How do the containers operate?

    Containers are set up in an architecture known as a container cluster. Then, in a container cluster, there is a single cluster master, with the other related containers set as nodes, that are your multiple worker machines. The cluster master schedules the workloads for your nodes, and also to manage their lifecycle, and their upgrades.

    Containers allow programs to be broken down into smaller pieces, which are known as microservices.

    A major advantage of having a program as component microservices is that different teams can work on each of the containers separately as long as the interactions between the different containers are maintained. This facilitates faster software development.

    Containers are also flexible and can be orchestrated. Since the operating system would be already running your server, a container can be started and stopped in just a few seconds.

    Some containers within architecture can be turned on during peak demand, and turned down when not needed.
    The software can control this type of orchestration, and distribute the tasks among the container cluster.

    The way forward with the tech

    But is container technology overrated? Some people are concerned about the security around it.

    Because multiple containers share the same operating system, there are growing concerns that container technology is less secure than virtual machines. If there is a security flaw in your host kernel it will affect your multiple containers.

    Other software is being used to have more secure container technology. The use of isolated containers is, therefore, being constantly improved.

  • The latest cloud computing trends in 2019

    The latest cloud computing trends in 2019

    It’s 2019, and the Cloud is everywhere—from the apps we use every day to the infrastructure of global tech giants.

    According to researchers at Gartner, revenue generated from public cloud services is projected to grow 17.5 percent in 2019. This amounts to a total of $214.3 billion, up from $182.4 billion in 2018.

    More than a third of organizations surveyed by Gartner saw cloud investments as a top three investment priority. With this kind of growth, tech organizations are racing to get on board with cloud-only software and platforms.

    Here are some of the trends to look out for this year:

    Hybrid Cloud, Multi-Cloud and Mergers

    IBM announced its purchase of Red Hat last October, calling it the “most significant tech acquisition of 2018.” This combined Red Hat’s extensive network of open-source clouds with IBM’s Hybrid Cloud team.

    Mergers like these are likely to become a trend this year, as companies see the benefit of using multiple clouds across all sectors of their organization.

    Furthermore, this system will dominate in the future, as businesses find public clouds inadequate to meet every one of their requirements.

    As a more flexible and functional solution, many organizations will shift to a network of multiple private, public and hybrid clouds in the future.

    Serverless Cloud

    Serverless computing is a young market in technology, but it will continue growing in 2019. It isn’t actually “serverless.” Instead, it is a cloud-computing model in which the cloud provider itself runs the server on a dynamic, as-used basis (FaaS).

    Rather than buying server space, developers can use a back-end cloud service to code. They will only then pay for the server space they actually use.

    As this relatively new technology develops, we can expect to see more companies providing and expanding their “serverless” offerings.

    Artificial Intelligence

    Although cloud technologies are growing exponentially, artificial intelligence (AI) could prove an even greater economic driving force. According to Accenture, the impact of AI could double economic growth rates by 2035 in developed countries. 

    Around 80 percent of large companies have adopted some form of AI, according to the Harvard Business Review.

    Amazon, Twilio and Nvidia, to name a few, are thus, incorporating AI with cloud computing, next-gen GPUs and the Internet of Things (IoT). This has led to the developing of applications with “smart assistants,” and voice-to-text technologies.

    Such a combination of AI and the cloud provides an extremely powerful and unconstrained computing network.

    Security

    Digital transformation is already underway, with Gartner also projecting that 83 percent of all workloads will shift to the cloud by 2020. However, this movement presents issues of cybersecurity.

    Many businesses have not properly secured their cloud-stored data. For example, marketing and data aggregation firm Exactis left around 340 million records exposed on its cloud servers. This was uncovered in a data breach last year.

    Mitigating factors

    The implementation of the General Data Practice Regulations (GDPR) makes this even trickier. It affects cloud security, and IT companies will likely struggle to comply with these new laws while protecting sensitive information.

    Cloud computing services are progressing exponentially, as are their new developments. The year 2019 will surely be filled with businesses pouring investment into enterprise solutions. This while expanding, securing, and implementing cloud technologies to their fullest extent.

    Bridget is a freelance writer and editor, and the founder of Lost Bridge Blog, where she writes about traveling as a Millennial woman on a budget. When not writing, you can find her traveling, drinking inhuman amounts of caffeine and scrolling through the latest tech & political news.
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