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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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AI and The End Of Software Development As We Know it.

Forrester IT

Past and future technologies and paradigms shifts like Agile, DevOps, low-code, and even AI have been reshaping the software development world. The software development lifecycle (SDLC), is being accelerated and reimagined as a process happening in real-time. We’ve tried Agile, DevSecOps and LowCode, Now What?

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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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Embracing AIOps: Revolutionizing DevOps And Agile Methodologies

Forrester IT

Learn how AIOps can significantly enhance the efficiency, speed, and reliability of software development and deployment processes.

Agile 372
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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.

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ISDP: Unified DevOps Platforms Coordinate Development And Operations

Forrester IT

There’s been a trend in the continuous integration (CI), continuous delivery (CD) and release automation (RA) world: DevOps tools merging into a unified platform. It’s been happening for a while. CI companies like JFrog and CloudBees have acquired CDRA companies like Shippable and ElectricCloud.

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Predictions 2025: GenAI Reality Bites Back For Software Developers

Forrester IT

AI assistants are only the beginning of the generative AI software development revolution. Find out what’s in store for software developers in our 2025 predictions for software development.

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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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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. It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity?

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

Speaker: Shlomo Bielak, CTO, Benchmark Corp

Shifting security left to the earliest part of development is currently in the spotlight in the developer world. What teams are now discovering is, this approach results in misdirected ownership for developers and a frustrated security team. Understand why Development doesn’t actually want to own security or production.

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Building Like Amazon

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

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. The "two pizza" team culture.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity.

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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

Developing a data-sharing culture. Translating DevOps principles into your data engineering process. This workshop helps assess where your organization sits on the analytics maturity scale and where you might aspire to be. Workshop video modules include: Breaking down data silos. Integrating data from third-party sources.