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Achieving Continuous Integration and Delivery through Jenkins

RapidValue

As mentioned, one of the notable aspects of Jenkins is the fact that it enables continuous integration and continuous delivery. In addition to this, it provides a set of features like the ability to record metrics, evolution graphs and the like. What are the key Jenkins plugins that you need to be aware of? By, Adarsh TS.

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Scaling DevOps: key strategies and best practices

Agile Engine

For most organizations, this process includes the following components: Continuous development , an iterative approach that simplifies product development by breaking it down into smaller, more manageable cycles. Continuous integration automates and streamlines the incorporation of code changes from multiple contributors into the main branch.

DevOps 52
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Prerequisites for evolutionary architectures

CircleCI

Here’s a non-exhaustive list of some things to consider: Continuous integration. Continuous delivery. microservices, event streaming, modular monolith) Domain Driven Development (DDD) and Event Storming are very useful in determining the boundaries of deployment units. Continuous Integration/Continuous Delivery.

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Chaos engineering technique

Apiumhub

In these open spaces, we discussed very interesting topics like “feature branches vs. continuous integration”, “ monoliths vs microservices “, “how to manage diversity in our workplace”, Also, we shared the disastrous experiences we have had in production. Chaos engineering steps.

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How 3 Companies Implemented Distributed Tracing for Better Insight into Their Systems

Honeycomb

You can compare tiny differences between multiple traces coming through your microservices-based applications every day to pinpoint areas that are affecting performance. This impacted Slack’s continuous integration (CI) pipelines, where developers frequently integrate code into a central repository.

System 57
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Authors’ Cut Spark Notes Edition: Jumpstart Your Observability Journey

Honeycomb

This session also addresses example technologies used to build cloud-native apps, such as containers, service meshes, microservices, and immutable infrastructure. This blog discusses specific Continuous Integration (CI) / Continuous Deployment (CD) architectures and how observability can be used to debug pipeline issues.

DevOps 98
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Using AIOps for Better Adaptive Incident Management

xmatters

Creating a Flexible Incident Response with AIOps With the widespread adoption of DevOps and the implementation of practices like continuous integration/continuous deployment (CI/CD), your developers and engineers need to monitor metrics and performance across platforms while using dispersed tools.