IBM roadmap of cloud, AI-enabled IT drives Think conference



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.

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.

Prevent an automated meltdown

Automation enables an IT organization to quickly propagate a mistake to all live systems, enhancing the disastrous consequences well beyond what manual updates can accomplish. If that sounds like a bad thing, use these techniques to avoid it. Continue Reading

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.

Master multi-cloud deployment

Multi-cloud deployments go against the grain of public cloud vendors, which favor differentiating service offerings over interoperability. Don’t get caught up in vendor lock-in; instead, use tools and virtualization layers for flexibility. Continue Reading

Prepare to work for those cloud benefits

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.

There’s a DevOps tool for that

IT engineers love tools, and DevOps tools are easy to acquire. Exercise restraint, however, and you’ll find a short list of DevOps tools can cover most, if not all, needs within the enterprise. Continue Reading

How to source a toolchain

DevOps turns the way developers, testers and operations staff work upside down, and that includes a lot of the processes they used to get that work done. When selecting the right tools for DevOps processes, should you go cookie-cutter or custom? Continue Reading

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.

I am not a robot

Authentication technology keeps malicious attackers — and bumbling junior admins — out of mission-critical systems. Do you trust identity and access management to an AI algorithm? Continue Reading

Fight threats with data sets

Security threats come on fast and mutate rapidly. To counteract them, IT organizations need anomaly detection, automated data analysis and the knowledge to wield the right tools against different kinds of threats. Continue Reading

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