Multi-stage builds feature in Dockerfiles enables you to create smaller container images with better caching and smaller security…

Open source, production-ready modules for Couchbase

https://riot.com/2LdK6hI #RiotTechBlog

Record terminal sessions as SVG animations. Contribute to nbedos/termtosvg development by creating an account on GitHub.

Безопасность разработки в Agile-проектах - купить в издательстве «ДМК Пресс». Цена, фото, аннотация. Доставка по Москве и РФ.

Getting started with Whitebox monitoring by instrumenting Java Spring Boot applications for Prometheus

HiDef Software provides bold technical consulting on a range of IT and software related matters.

* Abstract:

In a Cloud Native infrastructure, failure is normal and expected. The loss of a single node or a dozen hard drives is gracefully handled by the systems running a datacenter and there is no reason to page someone at 4am. This calls for an alerting system that understands service availability at a global scope, yet is still able to give detailed reports if and when there is a service-impacting incident. Prometheus achieves this by defining alerting conditions directly on time series data. The resulting alerts are grouped and aggregated into comprehensive and meaningful notifications.

Fabian will walk through the philosophy of time series based alerting, the Prometheus architecture behind it, and how practical anomaly detection can be implemented.

* Speaker biography:

Prometheus core developer and CoreOS engineer.

* Slides:

https://docs.google.com/presentation/d/16hsV0Pyxxk7ta7gIif7Tfxcr1Oy1LmfUbKXaeXisDvw/edit?usp=sharing

* PromCon website:

https://promcon.io/

By Appu Goundan and Qingyang Chen   Containers are bringing Java developers closer than ever to a "write once, run anywhere" workflow, but c...

ngrok secure introspectable tunnels to localhost webhook development tool and debugging tool

Disclaimer: While I was once an employee of Red Hat and Ansible.

Proud new Kubernetes cluster owners are often lulled into a false sense of operational confidence by its consensus database’s glorious simplicity. In this Q&A, we dig into the challenges of in-place upgrades of etcd beneath autonomous Kubernetes clusters running within air-gapped environments.

Author: Andrew Martin (ControlPlane)
Kubernetes security has come a long way since the project's inception, but still contains some gotchas. Starting with the control plane, building up through workload and network security, and finishing with a projection into the future of security, here is a list of handy tips to help harden your clusters and increase their resilience if compromised.
Part One: The Control Plane  1. TLS Everywhere 2.

Macrobenchmarking framework for Elasticsearch. Contribute to elastic/rally development by creating an account on GitHub.

GKE On-Prem will provision and manage the underlying resources for containerized applications on-premises.