JPMorgan Chase feeds 24/7 IT monitoring data into a mainframe equipped with machine learning and data analytics to glean insights that improve app performance. HCL Technologies relies on DevOps and cutting-edge development and testing to collaborate effectively and maintain software quality. American Airlines refactored applications and provisioned Kubernetes clusters in production on platform as a service.
These enterprises, presenting at IBM Think in Las Vegas, March 19 to 22, are investing in IT automation, cloud computing and other technologies because the ROI is visible. But it isn't as simple as diving 100% into public cloud or scripting every step that admins take. IT organizations ready to modernize and improve operations should study the IBM roadmap for these trends to make informed strategy and tooling decisions that have the best payoff.
1On the IBM roadmap-
The full-stack future at IBM Think
IBM is launching the Think conference in 2018, combining topics as diverse as IT infrastructure and Watson-based chatbots. As IT operations teams grapple with the addition of container-based deployment, AI-based predictive analytics and incident response, and hybrid and multi-cloud, the IBM roadmap for products and services aims to address as many traditional and new -- and experimental -- IT trends as possible.
IBM ecosystem: At IBM PartnerWorld 2018, IBM said it is pursuing a partner strategy that will accommodate a multitude of channel business models. Continue Reading
IBM Cloud services aren't often mentioned alongside the hyperscale providers, but here's what Big Blue shoulddo to get in that conversation. Continue Reading
IT organizations unable or unwilling to migrate to public cloud can use IBM Cloud Private for microservices, APIs and containers. The goal is cloud-native development firmly tied to the private data center. Continue Reading
2Turn ops data into answers-
Intelligent automation is a no-brainer
IT automation in and of itself can only improve speed, but with data analysis layered on top of automation, IT organizations can train systems to behave and react in certain ways. The data is there, but it isn't always easy to use.
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3Private, public, multi, hybrid-
The many ways to approach cloud computing
Containerization and cloud computing enable scalable, portable applications and challenge IT operations organizations to apply consistent policies, ensure security and manage resources effectively.
Cloud-based container deployments can be the most efficient way to host an enterprise application: Low overhead combines with a model of pay only for what you use in infrastructure. Or they can be a money waste, with mismanaged container deployments racking up costs. Continue Reading
Cloud-native applications scale easily and change Capex to Opex, but they can't erase operations tasks and challenges. The ops team must license apps correctly for cloud bursts, shore up network capacity where needed and take on other responsibilities to manage cloud deployments. Continue Reading
4Less is more with DevOps tools-
When does DevOps become doable?
DevOps is supposed to make digital business better -- not necessarily easier. IT organizations face a mounting pile of DevOps tools, as well as communication sticking points and an information overload in the continuous improvement of continuous integration, delivery and deployment.
5An eye on suspicious activity-
Watch and learn: The security approach aided by AI
IT organizations can track every move made by their users on applications, both internally and by external customers. All that data feeds smarter cybersecurity systems, which interpret threats and flag suspicious user activity.