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Utilizing Predictive DevOps to Enhance Collaboration in 2024

IT Toolbox

Discover the future of DevOps with Predictive AI in 2024, enhancing collaboration and efficiency. The post Utilizing Predictive DevOps to Enhance Collaboration in 2024 appeared first on Spiceworks.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

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What’s Next for DevOps? Four DevOps Predictions for 2023

IT Toolbox

Four key predictions for DevOps and how the space will evolve over the coming year. The post What’s Next for DevOps? Four DevOps Predictions for 2023 appeared first on.

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Agile, DevOps, and COVID-19

Forrester IT

Every other Friday, we have a meeting of the “DevOps Theme Team,” a group of Forrester analysts focused on next generation IT management approaches. We talk about Agile and DevOps, of course, but also extend into related areas like portfolio management and security.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. This includes how to: Obtain an overview of existing AI/ML technologies throughout the DevOps pipeline across categories. Understand the future of DevOps tied with AI/ML technologies.

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Transform Your DevOps with Log Management and Observability Development

IT Toolbox

Log management and observability can change how you think about DevOps challenges. The post Transform Your DevOps with Log Management and Observability Development appeared first on Spiceworks.

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How DevOps Teams Can Manage Telemetry Data Complexity

IT Toolbox

Processing telemetry data at scale and near real-time presents many challenges for DevOps teams. The post How DevOps Teams Can Manage Telemetry Data Complexity appeared first on Spiceworks.

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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

Datadog Security Monitoring provides end-to-end security coverage of dynamic, distributed systems in a unified platform, enabling DevOps, SecOps, and GRC teams to work together to detect and respond to threats and misconfigurations in real time.

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Achieving Elite and High Performance DevOps Using DORA Metrics

Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar

How is your organization’s DevOps doing? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?

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9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. Maintaining a culture of DevOps no matter what the size of your organization is. We are excited to be joined by Leo Zhadanovsky, Principal Solutions Architect at Amazon Web Services.

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Shift Left Security? Development Does Not Want to Own It.

Speaker: Shlomo Bielak, CTO, Benchmark Corp

It's time to manage your team's energies to maximize DevOps efficiency, all the while maintaining top security standards. How a belief that DevOps resources are jack of all trades can increase your risks, not lessen. In the current climate, we cannot afford to let security implementations falter.

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Team Leadership in the Age of Agile

Speaker: Roy Osherove, Technology and Leadership Consultant

To do this, you've learned a wide variety of techniques and methodologies - SCRUM, Kanban, TDD, DevOps, self-organized teams, and much more. As a senior software leader, you spend much of your time trying to optimize your team's performance – from increasing delivery rate and velocity to reducing defect rates and waste.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Translating DevOps principles into your data engineering process. Workshop video modules include: Breaking down data silos. Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Using data models to create a single source of truth. Making everyone a data analyst with a semantic layer.

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5 Things a Data Scientist Can Do to Stay Current

Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises, with tips such as: Using automated machine learning (AutoML) frameworks to enhance productivity.