operations

operations

Managing application budget and security on AWS with CloudBees

This post examines how to manage application budget and security with Cloudbees

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operations

Verifying Application Infrastructure Performance in the Pipeline

While CI/CD Pipelines and DevOps are a major talking point in the realm of application Development today, many tasks are still manually processed. This blog explores a method for verifying performance of the infrastructure (and application) in the pipeline.

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operations

Continuous Verification in Action

This post examines a pipeline developed to demonstrate the concept of Continuous Verification in detail

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operations

Observability - The Complete Story - from metrics, logging, to tracing

In managing applications deployed on Kubernetes, developers have a significant number of options to choose from. These options cover both open source, and commercial options and cover three main categories: Metrics — are a numeric representation of data measured over intervals of time. And you can use mathematical modeling and prediction to derive the behavior of the system over an internal of time - either present or the future. Hence, metrics are useful for monitoring but more powerful when enabled with analysis mechanisms such as correlation and anomaly detection.

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operations

Packaging Applications for Kubernetes

How are applications packaged for use in a Kubernetes environment? This post looks at two of the most common methods, a

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operations

Fences and Gates: Designing Operations for the Multi-Cloud World

This post represents an interesting departure for me. Typically, I cover technical topics related to applications, Kubernetes, and portions of the “cloud native” world. In this piece, however, I’d like to address an issue much more steeped in people and process concerns; cloud operations. My colleagues and I spend quite a bit of time interacting with administrators and operators representing a wide variety of organizations. Whether these conversations begin with a particular set of technologies or projects, the discussion inevitably turns to the differences in operating across public cloud and software-as-a-service environments.

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