PTG recap

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This document summarizes discussions from the PTG-Denver meeting. It outlines the agenda which included an introduction to PTG, highlighting discussion topics, recapping accomplishments in the Pike release, and plans for ongoing work in the Queens release. Key topics discussed were skip-release upgrades, API-SIG, and accomplishments across various OpenStack projects including Neutron, Cinder, Nova, Ironic, Glance, and Kolla from Pike and planned work for Queens.

Technology

PTG-Denver Recap
Nam Nguyen Hoai VietNam OpenStack organizer
Tien Dao Cong Fujitsu OpenStack contributor
Duong Ha Quang OpenStack Kolla Core-Reviewer

Agenda
What is PTG?1
Highlight topics2
Things done in Pike3
Things continue in Queens4

What is PTG?
PTG = Project Team Gathering

Highlight topic
Skip-release topic → Fast forward upgrade topic.
Ø Purpose of this topic: to help operators upgrade Openstack system as fast
as possible.
Ø Plan for future:
§ Modify “support-upgrade” tag and “supports-accessible-upgrades” tag.
§ Create a outline docs about FFU.
§ Continue to discuss this topic in Sydney summit.

Highlight topic
Special Interest Group (SIG)
Ø How to expand our outreach to various groups
§ Working Group (WG) -> Special Interest Group (SIG)
§ API developer-focused -> SDK developers and users

Things done in Pike
Neutron:
Ø “Support for zero-downtime upgrades from Ocata (a.k.a. rolling
upgrades)
Ø haproxy is now used instead of the neutron namespace proxy agent
for reduced memory usage on the server running the metadata proxy
Ø Improvements to stability/performance, QoS, DVR
Ø Support for quota usage amounts in quota API
Ø Support for individual DNS domains set per Neutron port
Ø Support for per-network MTU overrides
Ø Support for user-defined tags on all standard Neutron resources”

Things done in Pike
Cinder:
Ø Having a “revert to snapshot” feature
Ø Supporting extending a volume that is in-use.
Ø Added volume group replication support

Things done in Pike
Nova:
Ø Moved on to Cell v2
§ Timeline: nova-network deprecated in Newton. Cellsv1 only runs under
nova-network in Ocata. Cellsv2 required in Ocata. Multi-cell cellsv2 available
in Pike.
Ø Introduced Placement
§ In Pike, didn’t properly handle migrations
§ Got some fixes in Pike, should do better solution in Queens

Things done in Pike
Ironic:
Ø Boot from Cinder volumes
Ø Rolling upgrade between releases
Ø Driver composition reform (dynamic driver model)
Ø Redfish hardware type
§ Features implemented in a vendor-agnostic fashion

Things done in Pike
Kolla:
Ø Docker images for about 50 OpenStack services
Ø Ansible roles for about 50 OpenStack services
Ø Kolla-kubernetes nearly has compute kit

Things continue in Queens
Nova:
Ø Cell v2
§ Drop nova-network and Cell v1
§ Efficiently listing instances in a multi-cell deployment
§ Efficiently cross-cell queries
Ø Placement
§ Traits: qualitative part of resources (besides the quantitative part)
§ Nested resource providers
• PCI devices can have Physical Functions (PFs), each of which can supply a number of
Virtual Functions (VFs)
• May not be complete in Queens
§ Generic Device Management
§ Separate Placement out into its own service

Things continue Queens
Neutron:
Ø Improve Neutron documentation for simpler deployments
Ø Can delete neutron CLI at the end of R cycle
Ø Security group logging

Things continue in Queens
Cinder:
Ø Show resource's total count info in list APIs [1]
Ø Report backend state in service list
Ø Apply encryption and qos per volume
[1] https://review.openstack.org/#/c/505101/
[2] https://blueprints.launchpad.net/cinder/+spec/generic-backup-implementation

Things continue in Queens
Ironic:
Ø Reference architecture guide
Ø Deploy steps
Ø Networking features
§ Routed network support (close to completion)
§ Neutron event processing
Ø Ironic-inspector HA
Ø Some others: node tags, ipa api versioning, rescue mode, e-tags, ...
Ø Openstack goals
§ Python3
§ Switching to uWSGI
§ Splitting away the tempest plugin

Things continue in Queens
Glance:
Ø Deprecated Registry API v1, Image API v1
Ø Multihash support for image
https://etherpad.openstack.org/p/glance-queens-ptg-roadmap

Things continue in Queens
Kolla:
Ø General
§ Documentation rework
§ Ceph bumped to L
Ø Kolla-ansible
§ devmode
§ Improve CI gating
Ø Kolla-kubernetes
Ø Kolla with TripleO joined forces
§ Healthcheck
§ CI jobs
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The goal of Continuous Delivery is to move your production release frequency from months to weeks or even days. This all sounds great, but is Continuous Delivery achievable in a complex enterprise IT environment running Java EE middleware such as WebLogic, WebSphere or JBoss? In this deck, Andrew Phillips, VP Products, XebiaLabs and Sriram Narayan, Product Principal, ThoughtWorks Studios examine the challenges of Continuous Delivery in a complex environment, the key drivers and benefits for moving to Continuous Delivery and simple ways to get started. We also demonstrate a Java EE delivery pipeline using ThoughtWorks Go and XebiaLabs Deployit that helps you get started and addresses the challenges commonly encountered in enterprise environments.

PaaSTA: Running applications at Yelp

Nathan Handler

PaaSTA, Yelp's platform as a service (PaaS) built on top of open source tools, provides tooling for developers to quickly turn their microservice into a monitored, highly available application spanning multiple data centers and cloud regions. Nathan Handler outlines the technologies that power PaaSTA and discusses how Yelp uses PaaSTA to empower developers and solve key problems. Video: https://youtu.be/vISUXKeoqXM

Logs/Metrics Gathering With OpenShift EFK Stack

Josef Karásek

This document summarizes a presentation about logs and metrics gathering with the OpenShift EFK stack. It introduces the OpenShift logging team and their objectives of collecting distributed logs in a common data model with security and scalability. It describes the main components of Fluendt for collection and normalization and Elasticsearch for storage. It provides examples of using the logging stack with OpenShift, OpenStack, and oVirt and advice for custom application logging.

2016_04_04_CNI_Spring_Meeting_Microservices

Jason Varghese

This document discusses microservices architecture and its application to libraries. It begins by defining microservices and noting that libraries can benefit from a microservices approach to allow for increased innovation. It then covers traditional monolithic architectures and some of their limitations for scaling. The remainder of the document discusses moving from monolithic to microservices, including using containerization and DevOps practices. It provides examples of how microservices were used for complex workflows like audio/video ingest. It also covers testing, deployment strategies, security considerations and integrating microservices with existing systems.

Cosug for jiang su lug dec 2011

OpenCity Community

The document introduces the China OpenStack User Group (COSUG) and provides an overview of OpenStack. It describes OpenStack as an open source cloud operating system that delivers scalable cloud technologies. It discusses why OpenStack is important for standardizing cloud infrastructure and making it portable across providers. The document outlines OpenStack's open philosophy and design principles, and provides summaries of key OpenStack projects like Nova, Glance, and Swift. It also reviews OpenStack's release process and goals of COSUG in promoting OpenStack adoption in China.

Container orchestration and microservices world

Karol Chrapek

This document discusses Novomatic Technologies Poland's adoption of container orchestration using Kubernetes. It provides background on Novomatic, explains why containers and Kubernetes were adopted, and summarizes the evolution of Kubernetes usage at Novomatic over time. Key points discussed include setting up development environments with Kubernetes, requirements for a PaaS platform, and lessons learned along the way in areas like infrastructure resources, application deployment, telemetry, and managing stateful applications.

OpenStack London Meetup, 18 Nov 2015

Jesse Pretorius

Learn OpenStack from trystack.cn

OpenCity Community

TryStack.cn is a non-profit OpenStack testbed and community project in China that aims to promote OpenStack adoption. It operates the largest OpenStack testbed in China with hardware from various vendors. TryStack.cn provides reference architectures, best practices, and contributes code back to the community. It also organizes OpenStack meetups and training to help grow the OpenStack ecosystem in China.

Using Docker EE to Scale Operational Intelligence at Splunk

Docker, Inc.

With more than 14,000 customers in 110+ countries, Splunk is the market leader in analyzing machine data to deliver operational intelligence for security, IT and the business. Our rapid growth as a company meant that our Infrastructure Engineering Team, responsible for all the common tooling, build and test systems and frameworks utilized by the Splunk engineers, was bogged down with a sprawl of virtual machines and physical servers that were becoming incredibly difficult to manage. And as our customer’s demand for data has grown, testing at the scale of petabytes/day has become our new normal. We needed a reliable and scalable “Test Lab” for functional and performance testing. With Docker Enterprise Edition, our engineers are able to create small test stacks on their laptop just as easily as creating multi-petabyte stacks in our Test Lab. Support for Windows, Role Based Access Control and having support for both the orchestration platform and the container engine were key in deciding to go with Docker over other solutions. In this talk, we will cover the architecture, tooling, and frameworks we built to manage our workloads, which have grown to run on over 600 bare-metal servers, with tens of thousands of containers being created every day. We will share the lessons learned from running at scale. Lastly, we will demonstrate how we use Splunk to monitor and manage Docker Enterprise Edition.

Sanger OpenStack presentation March 2017

Dave Holland

Why Micro Focus Chose Pulsar for Data Ingestion - Pulsar Summit NA 2021

StreamNative

Modern IT and application environments are increasingly complex, transitioning to cloud, and large in scale. The managed resources, services and applications in these environments generate tremendous data that needs to be observed, consumed and analyzed in real time (or later) by management tools to create insights and to drive operational actions and decisions. In this talk, Srikanth Natarajan will share Micro Focus’ adoption story of Pulsar, including the experience in consuming from and contributing to Apache Pulsar, the lessons learned, and the help that Micro Focus received from a development support partner in their Pulsar journey.

Developing on OpenStack Startup Edmonton

serverascode

Introduction to kubernetes

Rishabh Indoria

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called Pods. ReplicaSets ensure that a specified number of pod replicas are running at any given time. Key components include Pods, Services for enabling network access to applications, and Deployments to update Pods and manage releases.

Montreal OpenStack Q3-2017 MeetUp

Stacy Véronneau

Open stack swift architecture and monitoring

Kavit Munshi

- OpenStack Swift is an object storage platform that uses a proxy server, ring, object servers, account server, and replication to store and retrieve objects. - Key components to monitor include hardware failures, operating systems, Swift cluster health using tools like swift-dispersion-report, and cluster telemetry using swift-recon. - Existing monitoring options that integrate with OpenStack Swift today include Nagios plugins that check Swift functionality and dispersion, and the Zenoss ZenPack that monitors Swift metrics via swift-recon.

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