Progressive delivery is a term used to describe incremental rollout of changes to your system that optimizes for reducing risk and limiting “blast radius” of any negative outcomes of your changes. When we make a change to our system (code change or configuration change) we first expose this change to the smallest subset of users and analyze the impact of this change. If we find that the change has negligible or positive impact, we can continue to increase the subset of users that see this change.
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Litmus is an open source chaos engineering framework for Kubernetes environments running stateful applications. Created by MayaData, Litmus enables users to run test suites, capture logs, generate rep The book Mastering Collaboration by Gretchen Anderson provides techniques and exercises that can be used to improve collaboration in teams and between teams and their environment.
It explores topics like enlisting people, teamworking, trust, and respect, generating ideas collectively, decision making, and transparent communication.
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We’ve just released Argo CD v1.0, which contains several big new features, nearly 30 enhancements, and bug fixes. This release also introduces API stability and a Custom Resource Definition for the application spec. Special thanks to the following contributors (amongst others) for their work on v1.0: Alexander Matyushentsev, Alex Collins, Simon Behar, Paul Brit, Danny Thomson, Jesse Suen, tom-256, Omer Kahani, Sahil Ahuja, and jpresky.
The most visible changes in v1.
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Large-scale data processing is a critical component of Spotify’s business model. It drives music recommendations, artist payouts based on stream counts, and insights about how users interact with Spotify. Every day we capture hundreds of terabytes of event data, in addition to database snapshots and derived datasets.
It’s imperative that engineers who want to work with this data can quickly write and execute application-level code without worrying about the low-level semantics of Map/Reduce frameworks, provisioning the right amount of compute power, or writing extensive boilerplate code for every job.
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The Datawire team and I have returned home from an awesome time last week where we attended KubeCon and CloudNativeCon in Barcelona. Together, we were part of six talks at KubeCon, staffed a packed booth with amazing T-shirts (if I do say so myself!), spoke to dozens of community members, and attended some fantastic talks. As there was so much goodness on offer at KubeCon EU, I’ve tried to summarise some of my key observations in this blog post.
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AWS has published a whitepaper, Architecting for PCI DSS Scoping and Segmentation on AWS, to provide guidance on how to properly define the scope of your Payment Card Industry (PCI) Data Security Standard (DSS) workloads running on the AWS Cloud. The whitepaper looks at how to define segmentation boundaries between your in-scope and out-of-scope resources using cloud native AWS services. The whitepaper is intended for engineers and solution builders, but it also serves as a guide for Qualified Security Assessors (QSAs) and internal security assessors (ISAs) to better understand the different segmentation controls available within AWS products and services, along with associated scoping considerations.
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Kubernetes is a very popular container orchestration framework. I’ll show you how to get Symmetric-DS working on a single Kubernetes instance.
Source: crunchydata.com
Envoy is a programmable L3/L4 and L7 proxy that powers today’s service mesh solutions including Istio, AWS App Mesh, Consul Connect, etc. At Envoy’s core lie several filters that provide a rich set of features for observing, securing, and routing network traffic to microservices. In these set of posts, we’ll have a look at the basics of Envoy filters and learn how to extend Envoy by implementing custom filters to create useful features!
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Imagine you’re a web developer. You have to create an app that leverages five different data sources. The project has 26 different views built in – and don’t forget to make it fast, easy to test, and reliable.
I work on creating the tools that make this kind of app as easy as possible for developers to build and manage. My name is Matthew Drake and I’m a member of the Riot Data team – we make enterprise-style data tools for Rioters.
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In a previous post, I showed you a solution to implement central DNS in a multi-account environment that simplified DNS management by reducing the number of servers and forwarders you needed when implementing cross-account and AWS-to-on-premises domain resolution. With the release of the Amazon Route 53 Resolver service, you now have access to a native conditional forwarder that will simplify hybrid DNS resolution even more. In this post, I’ll show you a modernized solution to centralize DNS management in a multi-account environment by using Route 53 Resolver.
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