Posts Tagged cloud-engineering

Cloud Engineering Summit Build Track

Cloud Engineering Summit Build Track

The Cloud Engineering Summit 2021 is coming up fast, and the speakers are out! To get you ready to attend, let’s take a look at the sessions for the Build track.

The Cloud Engineering Summit’s three tracks are built around three concepts: Build, Manage, and Deploy. I’m Kat Cosgrove, and I was responsible for selecting your speakers for the Build track! For us, that means building cloud applications and infrastructure with Modern Infrastructure as Code using general purpose programming languages. We embrace the fact that modern cloud applications have blurred the lines between the application and the infrastructure, and that success requires at least some level of proficiency in both. Whether you’re full stack or lean more towards one area, all cloud engineers apply a software engineering mindset and practices to building and testing applications and the underlying cloud infrastructure. This includes using standard programming languages, applying software principles such as reusability and abstractions and testing, and leveraging the rich ecosystem of software development tools.

Without further ado, let’s take a look at each of the talks I’ve selected for you!

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Preview of the Deploy Track at Cloud Engineering Summit 2021

Preview of the Deploy Track at Cloud Engineering Summit 2021

Cloud Engineering Summit 2021 is almost here! We’ve got a great line up this year.

Our tracks are built around the three pillars of cloud engineering: Build, Deploy, and Manage. I’m your track chair for the Deploy track, the track focused on automating and managing infrastructure. Deploy is all about unifying systems so everything in a cloud-based system is shipped together from the same automated, auditable process, reducing human error and improving quality across the board. That could mean focusing on automated testing and linting of infrastructure as code, providing shared services platforms for others to use in their pipelines, or exploring how unified and automated infrastructure changes engineering culture in an organization.

In no particular order, let’s go explore the Deploy track lineup.

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Preview of the Manage Track at Cloud Engineering Summit 2021

Preview of the Manage Track at Cloud Engineering Summit 2021

The Cloud Engineering Summit 2021 is coming up fast, and the speakers are out! To get you ready to attend, let’s take a look at the sessions for the Manage track.

The Cloud Engineering Summit’s three tracks are built around three concepts: Build, Manage, and Deploy. I’m Matt Stratton, and I’m your charismatic track chair for Manage. For us, that means managing cloud applications and infrastructure with Policy as Code, visibility, and access controls. For example, managing infrastructure with policies that detect configuration drift, enforce best practices, and even prevent compliance violations before deployment. It means building visibility across your cloud infrastructure so that you always understand its current and past states, including detailed audit history. Finally, you ensure the right guardrails and controls are set in place so that distributed teams can securely develop.

Without further ado, let’s take a look at each of the talks I’ve selected for you!

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Top 5 Things an Azure Developer Needs to Know: Serverless

Top 5 Things an Azure Developer Needs to Know: Serverless

The previous article was a deep dive into virtual machines. First, we used the Azure Portal to create and deploy a virtual machine; then, we repeated the process using infrastructure as code. We further demonstrated how to automate provisioning as part of cloud engineering’s build and deploy processes.

This article will explore the other end of the cloud infrastructure with serverless, which is an on-demand, fully-managed cloud architecture.

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Cloud Engineering on the Rise

Cloud Engineering on the Rise

One of the most fulfilling aspects of working at Pulumi is learning how customers and the community practice cloud engineering in their teams. It’s exciting to see how they use cloud engineering and Pulumi to implement best practices that enable leveraging the cloud to accelerate innovation and enable better business outcomes.

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WTF Is Cloud Engineering?

WTF Is Cloud Engineering?

When we think about the idea of “cloud engineering,” we often think about the concept of taking standard software engineering practices and tools, and making them available and consistent across development, infrastructure, and compliance teams.

It sounds a lot like what DevOps was supposed to accomplish, right? Many great practices have come out of software engineering that we can apply to operations and infrastructure. Likewise, practices from operational disciplines are equally applicable to development teams.

In cloud engineering, we look at how all of these practices are available to multiple functions and teams. It’s a compelling concept, and the more that we refactor our thinking around this, the more effective we can be at delivering value to our customers and users.

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Infrastructure Testing in Practice

Infrastructure Testing in Practice

In the previous article we discussed how to apply software testing methodologies to cloud engineering. We also examined testing regimes starting from the testing pyramid to the trophy and honeycomb models of testing better suited to distributed and cloud architectures. These testing regimes include three types of tests suited for cloud architectures:

  • unit tests for testing methods and functions within a service
  • property tests for validating specified service outputs
  • integration tests to ensure that resources interact as specified

In this article, we’ll do a deep dive into each of these testing methods.

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Testing Practices for Cloud Engineering

Testing Practices for Cloud Engineering

Cloud engineering brings industry-standard software development practices to building, deploying, and managing cloud infrastructure. Testing is a common practice for evaluating software to ensure that it meets requirements. Similarly, infrastructure testing checks for missing requirements, bugs, and errors; it also ensures security, reliability, and performance. Testing uses manual or automated tools to identify bugs that can cause unexpected infrastructure behavior.

There are many benefits to infrastructure testing, including:

  • reduced costs to fix bugs when caught early in the development lifecycle,
  • discovering security risks and problems earlier,
  • delivering a quality product that creates customer satisfaction through a great user experience

Testing shifts left the risk inherent with distributed architectures composed of many resources. Ultimately, testing increases release velocity, reliability, and confidence in your application.

This article is the first in a two-part series about testing infrastructure. The terminology for testing can be confusing because of broad definitions that overlap. This article will narrow those definitions that originated from application testing and apply them to infrastructure and cloud engineering. Let’s take a look at the different types of testing used with infrastructure as code.

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Refactoring Infrastructure as Code

Refactoring Infrastructure as Code

The central principle of cloud engineering is adopting software engineering practices. Refactoring is a technique for making changes to code that improve maintainability, enhance performance, scalability, and security without changing its external behavior. In devops, refactoring often occurs with modern applications; however, we can apply those same techniques to cloud infrastructure with infrastructure as code.

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Cloud Engineering: The Future Is Now

Cloud Engineering: The Future Is Now

Thank you for joining the PulumiUP event. We had a stellar set of speakers and panelists discussing the future of DevOps and how Cloud Engineering is providing the tools and processes that enable faster delivery, the right mix of architecture, and foster collaboration among teams in an organization. Here are some of the highlights and takeaways from our speakers.

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