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Managed DevOps Pools: Simplifying Azure DevOps Setup

Xebia

Have you ever had to deploy, configure, and maintain your own DevOps agents, be it for Azure DevOps or GitHub? Managed DevOps Pools have recently been announced as Public Preview. Managed DevOps Pools, what are they? Managed DevOps Pools are Microsoft-hosted agents that can be configured to use private networking.

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Opsera raises $15M for its continuous DevOps orchestration platform

TechCrunch

Opsera, a startup that’s building an orchestration platform for DevOps teams, today announced that it has raised a $15 million Series A funding round led by Felicis Ventures. Founded in January 2020, Opsera lets developers provision their CI/CD tools through a single framework. Image Credits: Opsera.

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DevOps Engineer vs Software Engineer

The Crazy Programmer

The maintenance and development of software involve many different areas. It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. Software engineers are responsible for developing software based on the needs of clients. A mobile application developer.

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The future of Cloud-native software development with Radius

Xebia

The rise of platform engineering Over the years, the process of software development has changed a lot. This approach made the development process straightforward initially, but as applications grew in complexity, maintaining and scaling them became increasingly challenging.

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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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Are you ready for MLOps? 🫵

Xebia

When should you even start thinking about MLOps, or when is plain DevOps wiser to focus on first? Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. What are the prerequisites for MLOps? What parts of MLOps should you focus on? What a waste!

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10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its used for web development, multithreading and concurrency, QA testing, developing cloud and microservices, and database integration.

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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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A DevOps Guide for Product Managers

Speaker: Suzie Prince, Head of DevOps, Atlassian

Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace. Join Suzie Prince, Head of Product for DevOps at Atlassian, and make sure your software team never misses a beat during the pandemic.

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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.