-
Article
IBM pledges to protect data in era of Watson
IBM chairman and CEO Ginni Rometty discussed Watson's Law and the importance of data stewardship and security at the company's Think conference. Read Now
-
Article
IBM researchers pump up blockchain, crypto
IBM Research unveiled several new projects, including security efforts around crypto anchors and lattice cryptography, at the IBM Think 2018 conference in Las Vegas. Read Now
-
Article
IBM PartnerWorld 2018: A focus on new business models
IBM ecosystem: At IBM PartnerWorld 2018, IBM said it is pursuing a partner strategy that will accommodate a multitude of channel business models. Read Now
-
Article
IBM Cloud Garage Method makes devs 'think' cloud
The IBM Cloud Garage Method helps developers 'think' and focus on building cloud projects that may start small, but can quickly move to enterprise scale. Read Now
Editor's note
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.
1Intelligent 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.
-
Article
Orchestrate automation to do less work
As automation replaces manual IT tasks, orchestration enables smarter and faster processes. Orchestrated IT prevents overlapping work and enforces corporate policies. Read Now
-
Article
Smarter IT requires smarter IT admins
IT automation doesn't just eliminate repetitive tasks; nearly all platforms incorporate machine learning and AI technology to store and apply knowledge about the IT stack. That changes IT jobs in three areas. Read Now
-
Article
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. Read Now
2The 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.
-
Article
Infinite resources + distributed applications = sprawl
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. Read Now
-
Article
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. Read Now
-
Article
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. Read Now
3When 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.
-
Article
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. Read Now
-
Article
How tools influence culture
Developers and operations teams see the world in different ways. Your DevOps tool set can either foster this divide or bridge it. Read Now
-
Article
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? Read Now
4Watch 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.
-
Article
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? Read Now
-
Article
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. Read Now
-
Article
Flag risky behavior before a breach
With the help of AI-enabled security tools, IT organizations can establish parameters for normal and abnormal user behavior, based on huge sets of data on user actions. Read Now