This document discusses building a fault tolerant and highly available architecture for OpenStack. It proposes:
1. A master-master cluster architecture for MySQL and session-level replication for RabbitMQ to provide high availability for the database and message broker components.
2. Disk-level replication using DBRD for Glance, Swift, and Cinder to provide redundancy at the storage level.
3. Ensuring high availability for networking and the Horizon dashboard.
4. Developing predictive and reactive models to detect failures in Nova, Swift, and compute instances and enable recovery of all components.
The document recommends using Pacemaker for cluster-level management and Corosync for reliable messaging between cluster nodes.
OpenLDAP has been replacing proprietary directory server offerings in the private sector, public sector and the financial sector at an increasing pace. This is largely due to its performance and scalability, dynamic configuration capabilities and flexible extensibility via bundled modules.
OpenLDAP would not have earned its place in these sectors without enterprise grade replication options.
In this talk, an overview of the latest production ready OpenLDAP 2.4 replication features will be discussed and the numerous best practice strategies will be presented covering the most common deployment configurations found in the wild.
There are some issues for OpenStack multi-region mode, for example, lack of global view quotas control, resource utilization, metering data, replication of image / keypair / security group / volume , L2/L3 networking across OpenStack, ... etc. OpenStack cascading is the best-matched solution to solve these issues in multi-site multi-region cloud
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Speaker: Gerald Rogers. Gerald Rogers is a Principal Engineer in the Network Products Group focused on virtual switching, network function virtualization and Data Plane Development Kit (DPDK). After joining Intel in 2005, Gerald has worked as a software engineer and architect in the embedded and networking groups. For the past 7 years Gerald has led the network virtual switching software and hardware acceleration effort to drive Intel architecture into the networking and telecommunications industry. Gerald holds a Bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Science, and has 20 years of experience in the networking and telecommunications industry.
Building Multi-Site and Multi-OpenStack Cloud with OpenStack CascadingJoe Huang
The slides used in the speech "Building multi-site and multi-openstack cloud with OpenStack cascading" in OpenStack Paris summit 2014. The slides cover the requirement and driving forces, case study of VDF, technologies eloboration and demo of OpenStack cascading.
OpenLDAP has been replacing proprietary directory server offerings in the private sector, public sector and the financial sector at an increasing pace. This is largely due to its performance and scalability, dynamic configuration capabilities and flexible extensibility via bundled modules.
OpenLDAP would not have earned its place in these sectors without enterprise grade replication options.
In this talk, an overview of the latest production ready OpenLDAP 2.4 replication features will be discussed and the numerous best practice strategies will be presented covering the most common deployment configurations found in the wild.
There are some issues for OpenStack multi-region mode, for example, lack of global view quotas control, resource utilization, metering data, replication of image / keypair / security group / volume , L2/L3 networking across OpenStack, ... etc. OpenStack cascading is the best-matched solution to solve these issues in multi-site multi-region cloud
Cloud native architecture is emerging for Telecom workloads. To support these emerging trends, Intel is targeting enhancements to the Dataplane Development Kit (DPDK). The enhancements would target network service mesh with dedicated sidecar accelerators and the mechanism to build the mesh dynamically.
Speaker: Gerald Rogers. Gerald Rogers is a Principal Engineer in the Network Products Group focused on virtual switching, network function virtualization and Data Plane Development Kit (DPDK). After joining Intel in 2005, Gerald has worked as a software engineer and architect in the embedded and networking groups. For the past 7 years Gerald has led the network virtual switching software and hardware acceleration effort to drive Intel architecture into the networking and telecommunications industry. Gerald holds a Bachelor’s degree in Electrical Engineering and a Master’s degree in Computer Science, and has 20 years of experience in the networking and telecommunications industry.
Building Multi-Site and Multi-OpenStack Cloud with OpenStack CascadingJoe Huang
The slides used in the speech "Building multi-site and multi-openstack cloud with OpenStack cascading" in OpenStack Paris summit 2014. The slides cover the requirement and driving forces, case study of VDF, technologies eloboration and demo of OpenStack cascading.
Apache Spark on K8S Best Practice and Performance in the CloudDatabricks
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Speakers: Junjie Chen, Junping Du
NFV Orchestration for Telcos using OpenStack TackerSridhar Ramaswamy
ETSI MANO NFV Orchestration for Telco Service Providers using OpenStack Tacker project. Showcases integration of Tacker to orchestrate Brocade VNFs like 5600 Virtual Router and Connectem vEPC.
Build Low-Latency Applications in Rust on ScyllaDBScyllaDB
Hands-on workshop to explore the affinities between Rust, the Tokio framework, and ScyllaDB NoSQL.
ScyllaDB is a perfect match for Rust. Similar to the Rust programming language and the Tokio framework, ScyllaDB is built on an asynchronous, non-blocking runtime that works extremely well for building highly-reliable low-latency distributed applications.
In this workshop, we’ll build a sample Rust application on our high performance native Rust client driver. By compiling and walking through the code, you’ll learn how to craft queries to a locally running ScyllaDB cluster.
We’ll cover how to:
- Install and compile a sample app, built on ScyllaDB’s native Rust SDK.
- Get a ScyllaDB cluster up and running
- Connect the application to the database
- Review data modeling, query types, and best practices
- Manage and monitor the database for consistently low latencies
If you’re an application developer with an interest in Rust and Tokio, this workshop is for you!
Kirill Tsym discusses Vector Packet Processing:
* Linux Kernel data path (in short), initial design, today's situation, optimization initiatives
* Brief overview of DPDK, Netmap, etc.
* Userspace Networking projects comparison: OpenFastPath, OpenSwitch, VPP.
* Introduction to VPP: architecture, capabilities and optimization techniques.
* Basic Data Flow and introduction to vectors.
* VPP Single and Multi-thread modes.
* Router and switch for namespaces example.
* VPP L4 protocol processing - Transport Layer Development Kit.
* VPP Plugins.
Kiril is a software developer at Check Point Software Technologies, part of Next Generation Gateway and Architecture team, developing proof of concept around DPDK and FD.IO VPP. He has years of experience in software, Linux kernel and networking development and has worked for Polycom, Broadcom and Qualcomm before joining Check Point.
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A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
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At Spreadshirt we are building up our own Ceph cluster(s) to spread customer images around the earth. This presentation gives an overview on the setup, numbers as well as issues we are currently facing.
Slide deck from my "OpenStack and MySQL" presentation at Oracle OpenWorld 2015:
"This session details exactly how MySQL fits in throughout OpenStack, takes a deeper look at the database-as-a-service (DBaaS) offering with OpenStack Trove with MySQL, and discusses how Oracle supports this thriving ecosystem."
10 things I learned building Nomad packsBram Vogelaar
The nomad team has been working very hard on making templated deploys easy for this they have released the tech preview of nomad-pack. This talk discusses some of my observations while migrating nomad job files over to nomad-pack
Building Streaming Data Applications Using Apache KafkaSlim Baltagi
Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming data platform for building real-time streaming data pipelines and streaming data applications without the need for other tools/clusters for data ingestion, storage and stream processing.
In this talk you will learn more about:
1. A quick introduction to Kafka Core, Kafka Connect and Kafka Streams: What is and why?
2. Code and step-by-step instructions to build an end-to-end streaming data application using Apache Kafka
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In this presentation we will open up the hood and take a look at exactly how Cassandra is treating CQL3 queries. Our first stop will be the Cassandra data structure itself. We will briefly review the concepts of keyspaces, columnfamilies, rows, and columns. And we will explain where this data structure excels and where it does not. Composite rowkeys and columnnames are heavily used with CQL3, so we'll cover their functionality as well.
We will then turn to CQL3. I will demonstrate the basic CQL syntax and show how it maps to the underlying data structure. We will see that CQL actually serves as a sort of best practices interface to the internal Cassandra data structure. We will take this point further by demonstrating CQL3 collections (set, list, and map) and showing how they are really just a creative use of this same internal data structure.
Attendees will leave with a clear, inside-out understanding of CQL3 and will be able use CQL with a confidence that they are following best-practices.
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• Understand how sFlow fits into the broader ecosystem of NetFlow, IPFIX, SNMP and DevOps monitoring technologies.
• Case studies demonstrate how sFlow telemetry combined with automation can lower costs, increase performance, and improve security of cloud infrastructure and applications.
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The traditional lambda architecture has been a popular solution for joining offline batch operations with real time operations. This setup incurs a lot of developer and operational overhead since it involves maintaining code that produces the same result in two, potentially different distributed systems. In order to alleviate these problems, we need a unified framework for processing and building data pipelines across batch and stream data sources.
Based on our experiences running and developing Apache Samza at LinkedIn, we have enhanced the framework to support: a) Pluggable data sources and sinks; b) A deployment model supporting different execution environments such as Yarn or VMs; c) A unified processing API for developers to work seamlessly with batch and stream data. In this talk, we will cover how these design choices in Apache Samza help tackle the overhead of lambda architecture. We will use some real production use-cases to elaborate how LinkedIn leverages Apache Samza to build unified data processing pipelines.
Speaker
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NFV Orchestration for Telcos using OpenStack TackerSridhar Ramaswamy
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Build Low-Latency Applications in Rust on ScyllaDBScyllaDB
Hands-on workshop to explore the affinities between Rust, the Tokio framework, and ScyllaDB NoSQL.
ScyllaDB is a perfect match for Rust. Similar to the Rust programming language and the Tokio framework, ScyllaDB is built on an asynchronous, non-blocking runtime that works extremely well for building highly-reliable low-latency distributed applications.
In this workshop, we’ll build a sample Rust application on our high performance native Rust client driver. By compiling and walking through the code, you’ll learn how to craft queries to a locally running ScyllaDB cluster.
We’ll cover how to:
- Install and compile a sample app, built on ScyllaDB’s native Rust SDK.
- Get a ScyllaDB cluster up and running
- Connect the application to the database
- Review data modeling, query types, and best practices
- Manage and monitor the database for consistently low latencies
If you’re an application developer with an interest in Rust and Tokio, this workshop is for you!
Kirill Tsym discusses Vector Packet Processing:
* Linux Kernel data path (in short), initial design, today's situation, optimization initiatives
* Brief overview of DPDK, Netmap, etc.
* Userspace Networking projects comparison: OpenFastPath, OpenSwitch, VPP.
* Introduction to VPP: architecture, capabilities and optimization techniques.
* Basic Data Flow and introduction to vectors.
* VPP Single and Multi-thread modes.
* Router and switch for namespaces example.
* VPP L4 protocol processing - Transport Layer Development Kit.
* VPP Plugins.
Kiril is a software developer at Check Point Software Technologies, part of Next Generation Gateway and Architecture team, developing proof of concept around DPDK and FD.IO VPP. He has years of experience in software, Linux kernel and networking development and has worked for Polycom, Broadcom and Qualcomm before joining Check Point.
Introduction to CNI (Container Network Interface)HungWei Chiu
A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
Ceph Object Storage at Spreadshirt (July 2015, Ceph Berlin Meetup)Jens Hadlich
At Spreadshirt we are building up our own Ceph cluster(s) to spread customer images around the earth. This presentation gives an overview on the setup, numbers as well as issues we are currently facing.
Slide deck from my "OpenStack and MySQL" presentation at Oracle OpenWorld 2015:
"This session details exactly how MySQL fits in throughout OpenStack, takes a deeper look at the database-as-a-service (DBaaS) offering with OpenStack Trove with MySQL, and discusses how Oracle supports this thriving ecosystem."
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Building Streaming Data Applications Using Apache KafkaSlim Baltagi
Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming data platform for building real-time streaming data pipelines and streaming data applications without the need for other tools/clusters for data ingestion, storage and stream processing.
In this talk you will learn more about:
1. A quick introduction to Kafka Core, Kafka Connect and Kafka Streams: What is and why?
2. Code and step-by-step instructions to build an end-to-end streaming data application using Apache Kafka
Understanding How CQL3 Maps to Cassandra's Internal Data StructureDataStax
CQL3 is the newly ordained, canonical, and best-practices means of interacting with Cassandra. Indeed, the Apache Cassandra documentation itself declares that the Thrift API as “legacy” and recommends that CQL3 be used instead. But I’ve heard several people express their concern over the added layer of abstraction. There seems to be an uncertainty about what’s really happening inside of Cassandra.
In this presentation we will open up the hood and take a look at exactly how Cassandra is treating CQL3 queries. Our first stop will be the Cassandra data structure itself. We will briefly review the concepts of keyspaces, columnfamilies, rows, and columns. And we will explain where this data structure excels and where it does not. Composite rowkeys and columnnames are heavily used with CQL3, so we'll cover their functionality as well.
We will then turn to CQL3. I will demonstrate the basic CQL syntax and show how it maps to the underlying data structure. We will see that CQL actually serves as a sort of best practices interface to the internal Cassandra data structure. We will take this point further by demonstrating CQL3 collections (set, list, and map) and showing how they are really just a creative use of this same internal data structure.
Attendees will leave with a clear, inside-out understanding of CQL3 and will be able use CQL with a confidence that they are following best-practices.
Network visibility and control using industry standard sFlow telemetrypphaal
• Find out about the sFlow instrumentation built into commodity data center network and server infrastructure.
• Understand how sFlow fits into the broader ecosystem of NetFlow, IPFIX, SNMP and DevOps monitoring technologies.
• Case studies demonstrate how sFlow telemetry combined with automation can lower costs, increase performance, and improve security of cloud infrastructure and applications.
Unified Batch & Stream Processing with Apache SamzaDataWorks Summit
The traditional lambda architecture has been a popular solution for joining offline batch operations with real time operations. This setup incurs a lot of developer and operational overhead since it involves maintaining code that produces the same result in two, potentially different distributed systems. In order to alleviate these problems, we need a unified framework for processing and building data pipelines across batch and stream data sources.
Based on our experiences running and developing Apache Samza at LinkedIn, we have enhanced the framework to support: a) Pluggable data sources and sinks; b) A deployment model supporting different execution environments such as Yarn or VMs; c) A unified processing API for developers to work seamlessly with batch and stream data. In this talk, we will cover how these design choices in Apache Samza help tackle the overhead of lambda architecture. We will use some real production use-cases to elaborate how LinkedIn leverages Apache Samza to build unified data processing pipelines.
Speaker
Navina Ramesh, Sr. Software Engineer, LinkedIn
OpenStack- A ringside view of Services and ArchitectureRitesh Somani
OpenStack is a free and open-source software platform for cloud computing, mostly deployed as infrastructure-as-a-service, whereby virtual servers and other resources are made available to customers
BRKDCT-2445 Agile OpenStack Networking with Cisco Solutions - Cisco Live! US ...Rohit Agarwalla
One of the key areas of contributions from Cisco within OpenStack has been in the evolution and the development of the OpenStack Networking Service - Neutron. Using Neutron's Modular Layer 2 (ML2) plug-in and advanced services framework, Cisco has integrated products and solutions with the networking service to simplify the deployment of highly scalable, manageable and performant networks. Through this session we will cover and provide details of reference as well as the various OpenStack Neutron plugins/drivers for hardware and software Cisco products including the Nexus 1k/3k/5k/6k/7k/9k, UCS FI, CSR 1kv, ASR1K, CPNR and Application Policy Infrastructure Controller (APIC). The audience will also learn about Group Based Policy API in OpenStack that is based on the ACI Policy model. We will further discuss different OpenStack networking architecture, deployments and understand Cisco’s community code contribution that enable and support IPv6 and NFV related features in Neutron.
A study and practice of OpenStack release Kilo HA deployment. The Kilo document has some errors, and it's hardly find a detailed document to describe how to deploy a HA cloud based on Kilo release. Hope this slides can provide some clues.
Agile OpenStack Networking with Cisco SolutionsCisco DevNet
A session in the DevNet Zone at Cisco Live, Berlin. One of the key areas of contributions from Cisco within OpenStack has been in the evolution and the development of the OpenStack Networking Service - Neutron. Using Neutron's Modular Layer 2 (ML2) plug-in and advanced services framework, Cisco has integrated products and solutions with the networking service to simplify the deployment of highly scalable, manageable and performant networks. Through this session we will cover and provide details of reference as well as the various OpenStack Neutron plugins/drivers for hardware and software Cisco products including the Nexus 1k/3k/5k/6k/7k/9k, UCS FI, CSR 1kv, ASR1K, CPNR and Application Policy Infrastructure Controller (APIC). The audience will also learn about Group Based Policy API in OpenStack that is based on the ACI Policy model. We will further discuss different OpenStack networking architecture, deployments and understand Cisco’s community code contribution that enable and support IPv6 and NFV related features in Neutron.
Cloud orchestration major tools comparisionRavi Kiran
Cloud Orchestration major tools comparison (including history, installation, market share, integration with other public cloud system for each tool) For any clarification contact kiran79@techgeek.co.in
Erez Cohen & Aviram Bar Haim, Mellanox - Enhancing Your OpenStack Cloud With ...Cloud Native Day Tel Aviv
Erez Cohen & Aviram Bar Haim, Mellanox - Enhancing Your OpenStack Cloud With Advanced Network and Storage Interconnect Technologies, OpenStack Israel 2015
Performance Tuning a Cloud Application: A Real World Case Studyshane_gibson
During the OpenStack Icehouse summit in Atlanta, Symantec presented on our vision for a Key Value as a Service storage technology utilizing MagnetoDB. Since then our Cloud Platform Team has rolled the service out in our production environments. Through that process we have learned about tuning requirements of the solution on bare metal versus hosted VMs within an OpenStack environment.
Our initial performance testing was done with MagnetoDB running on bare metal nodes. After migrating the service from bare metal to an OpenStack VM hosted environment, we observed a 50% reduction in performance.
This presentation will dig into the details of the performance baselines, the tuning of the Nova Compute servers, Virtual Machine settings, and the applications itself to increase our performance.
Why larger community will be interested in this topic
This presentation will dig in to the technical details of performance tuning an application running on an OpenStack Nova Compute cluster. We will examine the performance related configuration settings necessary to improve the hosted application from three different angles:
the underlying compute node Operating System configuration
the hypervisor virtualization layer
and the Guest VM and Application stack
This presentation will provide a real world analysis of the steps taken. In addition, it will provide an outline for other cloud operators to follow when they work towards performance tuning their own cloud stack.
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...inside-BigData.com
In this video from the HPC User Forum at Argonne, Daniel Arevalo from DeVine Consulting presents: NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmospheric Model.
Prompted by DoD priorities for modernization, cost savings, and redundancy, this project compared the performance of the NAVGEM on an in-house Cray system against the follow cloud offerings:
* AWS C4.8xlarge
* Penguin B30 queue
* Azure H16r
* AWS c5n.18xlarge
"The Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer simulation run by the United States Navy's Fleet Numerical Meteorology and Oceanography Center. This mathematical model is run four times a day and produces weather forecasts. Along with the NWS's Global Forecast System, which runs out to 16 days, the ECMWF's Integrated Forecast System (IFS) and the CMC's Global Environmental Multiscale Model (GEM), both of which run out 10 days, and the UK Met Office's Unified Model, which runs out to 7 days, it is one of five synoptic scale medium-range models in general use."
Watch the video: https://wp.me/p3RLHQ-kOy
Learn more:
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
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What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
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To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Objective & Motivation
• To Build a a Fault Tolerance and High Availability
Architecture (OpenStack)
• Motivation
– To build a fault tolerance architecture for OpenStack
– Build a Cluster Architecture for MySQL RabbitMQ
components
– To build high availability architecture for network
– To build a predictive and reactive model for detecting
failures of Nova , Swift and Compute.
–
3. Use cases
• Master-Master Cluster architecture for MySQL
• Disk Level replication for mySQL using DBRD for
Glance , Swift and Cinder
• Session level replication for RabbitMQ
• High availability for networking
• High availability for Horizon (Openstack
dashboard)
• Predictive model for detecting failure for all
components
• Reactive model for recovery for all components.
4. Non Use Cases
• Scenarios not suitable for cloud
– Redundancy of network components, such as
switches and routers,
– Redundancy of applications and automatic service
migration,
– Redundancy of storage components,
– Redundancy of facility services such as power, air
conditioning, fire protection, and others
5. Pacemaker – High availability for
OpenStack
• Cluster stack, the state of- the-art high availability
and load balancing stack for the Linux platform
• Storage- and application-agnostic, and is in no
way specific to OpenStack
• Pacemaker relies on the Corosync messaging
layer for reliable cluster communications.
• Corosync implements the Totem single-ring
ordering and membership protocol and provides
UDP and InfiniBand based messaging, quorum,
and cluster membership to Pacemaker.