It was such a privilege to work with you this past year on managing and improving performance and security from mobile to server to mainframe.

With more mixed cloud service environments being offered, network experts and system administrators are dealings with ever more complex networking and system demands. End-to-end service delivery is the key. Effective DevOps/service management will assure that both application development and deployment can work together to meet the end user demand.

Applied Expert Systems, Inc. (AES) is pleased to announce the availability of BlockChainView, DockerView, and IDSView to offer realtime details in blockchain transactions details, performance monitoring of Docker/Container deployment, plus enhancing mainframe security with IDS monitoring and diagnosis help.

LinuxONE and Linux on z Systems appear to be the best platforms for applications powered by Hyperledger Fabrics because of their reliability, security and performance. With the recent announcement of Docker EE support, LinuxONE and Linux on z Systems are even better positioned to be the platforms for the blockchain infrastructure.

Containers share the operating system and you can think them as "mini operating systems" in your Linux host OS. Container can pre-package any applications with portability. With more containers being deployed in production, monitoring tools also need to provide container level of details.

Digital transformation will continue to drive changes in IT during 2017. AI and advanced machine learning will lead the way with a continued emphasis on more intelligent applications and IOT. Open Cloud based on virtualization will be a significant base upon which technologies like Blockchain, Distributed Ledgers, and conversational systems will grow. IT service based architecture will allow mesh apps based on Docker technology to bring forth a new digital technology platform. Security will continue to solidify around an adaptive architecture.

When evaluating applications to move to a LinuxONE virtualized environment there are several characteristics that lead to a successful deployment. Be sure and analyze historical data over extensive over extensive periods of time. Look at a wide variety of dates and times in order to expose any time related inconsistencies that may impact a decision to move an application. Use this historical information to set up your core baselines which will be critical to set appropriate alerting thresholds for real time metrics. Once the applications are deployed on the LinuxONE server CleverView for TCP/IP on Linux can continue to monitor these same applications in real time to alert appropriate staff members of exceptions.