Speaker: Matt Stump, Solutions Architect at DataStax
Current state of the driver ecosystem. Introduce the new C++ and high level language drivers. How to write an FFI wrapper for your favorite language. Driver best practices.
LibCT: one lib to rule them all -- Andrey VaginOpenVZ
LibCT is a C library that allows building containerized applications by configuring namespaces and cgroups to provide isolation. It aims to simplify the complex low-level container APIs and support different container types like Linux containers, OpenVZ, Solaris Zones, and BSD jails. LibCT hides low-level API changes and provides bindings for other languages. It also serves as an alternative to Libcontainer which is written in Go. The presentation covered the history of Linux containers, namespaces, cgroups, LibCT's API, examples of use, and future integration plans.
This document summarizes recent trends in CRuby development and introduces some of the key committers to the CRuby project in 2013. It notes that development speed has increased, with over 12 commits per day on average. It profiles several top committers like matz, nobu, ko1, akr, usa, naruse, kosaki, nari, shugo, svn, and nagachika, highlighting their main contributions and an example commit. The document promotes external resources like ruby-trunk-changes for tracking CRuby changes.
The kernelci.org project is currently doing hundreds of build and boot tests for upstream kernels on a wide variety of hardware. This session will provide an introduction to the kernelci.org system, some live demos and how to start consuming its results, and be a forum for further discussions.
A quick presentation to my group on the Rancher container orchestration engine. Goes over some foundational knowledge before a live demo creating services and handling traffic within Rancher.
The document summarizes a Docker meetup event being organized in Moscow on February 26, 2015. It provides details on why the meetup is being held, including for informal technical discussions on Docker and as an event partnered with Openstack.ru. An overview of Docker is given, explaining how it automates application deployment as lightweight portable containers that can run anywhere. Key Docker concepts like images, registries, and containers are also summarized.
LibCT: one lib to rule them all -- Andrey VaginOpenVZ
LibCT is a C library that allows building containerized applications by configuring namespaces and cgroups to provide isolation. It aims to simplify the complex low-level container APIs and support different container types like Linux containers, OpenVZ, Solaris Zones, and BSD jails. LibCT hides low-level API changes and provides bindings for other languages. It also serves as an alternative to Libcontainer which is written in Go. The presentation covered the history of Linux containers, namespaces, cgroups, LibCT's API, examples of use, and future integration plans.
This document summarizes recent trends in CRuby development and introduces some of the key committers to the CRuby project in 2013. It notes that development speed has increased, with over 12 commits per day on average. It profiles several top committers like matz, nobu, ko1, akr, usa, naruse, kosaki, nari, shugo, svn, and nagachika, highlighting their main contributions and an example commit. The document promotes external resources like ruby-trunk-changes for tracking CRuby changes.
The kernelci.org project is currently doing hundreds of build and boot tests for upstream kernels on a wide variety of hardware. This session will provide an introduction to the kernelci.org system, some live demos and how to start consuming its results, and be a forum for further discussions.
A quick presentation to my group on the Rancher container orchestration engine. Goes over some foundational knowledge before a live demo creating services and handling traffic within Rancher.
The document summarizes a Docker meetup event being organized in Moscow on February 26, 2015. It provides details on why the meetup is being held, including for informal technical discussions on Docker and as an event partnered with Openstack.ru. An overview of Docker is given, explaining how it automates application deployment as lightweight portable containers that can run anywhere. Key Docker concepts like images, registries, and containers are also summarized.
This document provides information about the OpenZFS project and development process. It discusses OpenZFS features like feature flags and performance improvements. It also outlines the development process for illumos, FreeBSD, and Linux, including how to submit code changes through mailing lists or pull requests. Finally, it mentions work-in-progress on large block support to improve performance.
The document outlines Gluster's roadmap, including recent improvements to versions 3.5-3.7 like bitrot detection and sharding, and plans for upcoming releases 3.8 and 4.0 such as tiering support, REST APIs, new style replication, and improving the distributed hashing translator to scale to 1000 servers. It also provides an overview of Gluster's architecture and quick start instructions.
Kubernetes from scratch at veepee sysadmins days 2019🔧 Loïc BLOT
1. The document discusses Kubernetes components, tools, and architecture for deployment at Veepee. It covers the control plane components, node architecture, and tooling used including DNS resolution, metrics collection, and logging.
2. For the control plane, it describes deploying etcd, the API server, scheduler, and controller manager across multiple datacenters. It also discusses configuring the API server and admission controllers.
3. For nodes, it discusses choosing containerd over Docker, configuring the network using kube-router with BGP, and using CoreDNS for internal DNS resolution in the cluster.
4. It provides details on tooling used for DNS, metrics collection, and centralized logging to
The document discusses the Linux kernel and its components. It covers topics like the kernel structure, Ethernet and wireless access in the kernel, USB and networking functionality in Linux. It provides code snippets to explain concepts like function calls and flow in the kernel for tasks like initiating and receiving network data.
Baker: Scaling OVN with Kubernetes API ServerHan Zhou
This document discusses using Kubernetes API server framework (Baker) to scale out OVN control plane. It aims to distribute OVN northd and central OVSDB cluster. Challenges include lack of clustering in OVSDB SB and distributed state management. Baker proposes distributed northd, scale-out central cluster backed by ETCD, and distributed agents to watch local objects. This would address connectivity issues in large cloud deployments. The document also discusses addressing segmentation vs connectivity, using ACLs and address sets for L3 segmentation, and evaluating port security and ACL processing on each hypervisor.
This document discusses Docker, a lightweight containerization tool. It is described as providing lightweight packed runtime environments and automation capabilities. Docker uses operating system-level virtualization via LXC containers to deploy applications without dependency and version conflicts. It allows for easy distribution of applications and their dependencies through images. The document provides basic terminology about images, containers, and the Docker filesystem and lifecycle. It outlines some common use cases for Docker and lists CoreOS and Mesosphere as companies that support Docker.
Libcontainer: joining forces under one roofAndrey Vagin
Libcontainer is a project that aims to create a common library for container management across different technologies like Docker and LXC. It avoids external dependencies and supports multiple container types through a common API. The goal is to allow cooperation and code reuse across projects through a shared container management library. Libct is a companion C library that provides a frontend API for managing the entire container lifecycle.
BKK16-102 Creating new workload for Workload Automation & using WA with LAVALinaro
The session will cover the steps needed to prepare and use new workload for Workload Automation tool. The talk is based on the use case of preparing the ‘applaunch + I/O’ test case for benchmarking I/O schedulers.
A talk at Open vSwitch 2018 Fall Conference. OVN control plane scalability is critical in production. While the distributed control plane architecture is a big advantage, the distributed controller on each hypervisor became the first bottle neck for scaling. This talk is to share how we (eBay and the community) solved the problem with Incremental Processing - the idea, challenges, and performance improvement results.
BKK16-407 AOSP Toolchain Evolution and experimental languages on AOSPLinaro
Big toolchain changes ahead...
AOSP is moving towards clang based toolchains rather than gcc.
Current AOSP master already builds completely with clang 3.8 by default.
Kernels and some HAL layers for old devices remain on gcc for now.
What is Linaro doing to help?
It's all started in 1999... let's see where we are in 2015. The history of Linux Containers, presented by Kirill Kolyshkin at the ContainerCon 2015 in Seattle.
This document discusses libp2p, a modular network stack for building peer-to-peer applications. It outlines libp2p's architecture, including identity, multiaddressing, peer routing using Kademlia, swarm connections, distributed records, and discovery mechanisms. It then provides an overview of coding a simple blockchain application in Go using libp2p, describing required import packages, shared objects, blockchain functions, handling incoming data streams with a host, and a demo.
This summary covers two lightning talks from BSDTW17:
1) The first talk proposed allowing multiple encrypted GEOM providers to attach using the same passphrase, improving on having to enter the passphrase multiple times. A new rc.conf syntax was suggested.
2) The second talk discussed ongoing work to improve MP-safe networking in NetBSD, including improvements to layers 2-3, drivers, and other components like pfill and npf. Remaining work and questions were also outlined.
NATS in action - A Real time Microservices Architecture handled by NATSRaül Pérez
The document describes an architecture for managing infrastructure and platforms using microservices that communicate over NATS. Key points:
- Ernest is an IAAS+PAAS hybrid cloud platform that uses microservices and NATS to manage infrastructure resources, deploy applications, and automate scaling across multiple cloud providers.
- NATS is used as the central communication system between Ernest microservices to process user-defined workflows for building environments.
- Workflows define things like networks, virtual machine instances, configuration, and can deploy and provision applications. This allows Ernest to automate the creation and management of environments.
This presentation is an overview of the API design and management solutions suitable for Cloud Native Environments. This main focus lies on synchronous API design and micro services.
Deep Postgres Extensions in Rust | PGCon 2019 | Jeff DavisCitus Data
Postgres relies heavily on an extension ecosystem, but that is almost 100% dependent on C; which cuts out developers, libraries, and ideas from the world of Postgres. postgres-extension.rs changes that by supporting development of extensions in Rust. Rust is a memory-safe language that integrates nicely in any environment, has powerful libraries, a vibrant ecosystem, and a prolific developer community.
Rust is a unique language because it supports high-level features but all the magic happens at compile-time, and the resulting code is not dependent on an intrusive or bulky runtime. That makes it ideal for integrating with postgres, which has a lot of its own runtime, like memory contexts and signal handlers. postgres-extension.rs offers this integration, allowing the development of extensions in rust, even if deeply-integrated into the postgres internals, and helping handle tricky issues like error handling. This is done through a collection of Rust function declarations, macros, and utility functions that allow rust code to call into postgres, and safely handle resulting errors.
LCU14 310- Cisco ODP
---------------------------------------------------
Speaker: Robbie King
Date: September 17, 2014
---------------------------------------------------
★ Session Summary ★
Cisco to present their experience using ODP to provide portable accelerated access to crypto functions on various SoCs.
---------------------------------------------------
★ Resources ★
Zerista: http://lcu14.zerista.com/event/member/137757
Google Event: https://plus.google.com/u/0/events/ckmld1hll5jjijq11frbqmptet8
Video: https://www.youtube.com/watch?v=eFlTmslVK-Y&list=UUIVqQKxCyQLJS6xvSmfndLA
Etherpad: http://pad.linaro.org/p/lcu14-310
---------------------------------------------------
★ Event Details ★
Linaro Connect USA - #LCU14
September 15-19th, 2014
Hyatt Regency San Francisco Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
The document discusses the Fn Project, an open source serverless computing platform. It is cloud agnostic and aims to democratize serverless computing. Key points include that Fn uses containers as functions, supports multiple programming languages and frameworks, and can run on a user's own infrastructure or clouds. It also has features for operators like load balancing, metrics, and optimization for Kubernetes.
The document discusses the Fn Project, an open source serverless computing platform. It is cloud agnostic and aims to democratize serverless computing. Key points include that Fn uses containers as functions, supports multiple programming languages and frameworks, and can run on a user's own infrastructure or clouds. It also has features for operators like load balancing, metrics, and optimization for Kubernetes.
This document provides information about the OpenZFS project and development process. It discusses OpenZFS features like feature flags and performance improvements. It also outlines the development process for illumos, FreeBSD, and Linux, including how to submit code changes through mailing lists or pull requests. Finally, it mentions work-in-progress on large block support to improve performance.
The document outlines Gluster's roadmap, including recent improvements to versions 3.5-3.7 like bitrot detection and sharding, and plans for upcoming releases 3.8 and 4.0 such as tiering support, REST APIs, new style replication, and improving the distributed hashing translator to scale to 1000 servers. It also provides an overview of Gluster's architecture and quick start instructions.
Kubernetes from scratch at veepee sysadmins days 2019🔧 Loïc BLOT
1. The document discusses Kubernetes components, tools, and architecture for deployment at Veepee. It covers the control plane components, node architecture, and tooling used including DNS resolution, metrics collection, and logging.
2. For the control plane, it describes deploying etcd, the API server, scheduler, and controller manager across multiple datacenters. It also discusses configuring the API server and admission controllers.
3. For nodes, it discusses choosing containerd over Docker, configuring the network using kube-router with BGP, and using CoreDNS for internal DNS resolution in the cluster.
4. It provides details on tooling used for DNS, metrics collection, and centralized logging to
The document discusses the Linux kernel and its components. It covers topics like the kernel structure, Ethernet and wireless access in the kernel, USB and networking functionality in Linux. It provides code snippets to explain concepts like function calls and flow in the kernel for tasks like initiating and receiving network data.
Baker: Scaling OVN with Kubernetes API ServerHan Zhou
This document discusses using Kubernetes API server framework (Baker) to scale out OVN control plane. It aims to distribute OVN northd and central OVSDB cluster. Challenges include lack of clustering in OVSDB SB and distributed state management. Baker proposes distributed northd, scale-out central cluster backed by ETCD, and distributed agents to watch local objects. This would address connectivity issues in large cloud deployments. The document also discusses addressing segmentation vs connectivity, using ACLs and address sets for L3 segmentation, and evaluating port security and ACL processing on each hypervisor.
This document discusses Docker, a lightweight containerization tool. It is described as providing lightweight packed runtime environments and automation capabilities. Docker uses operating system-level virtualization via LXC containers to deploy applications without dependency and version conflicts. It allows for easy distribution of applications and their dependencies through images. The document provides basic terminology about images, containers, and the Docker filesystem and lifecycle. It outlines some common use cases for Docker and lists CoreOS and Mesosphere as companies that support Docker.
Libcontainer: joining forces under one roofAndrey Vagin
Libcontainer is a project that aims to create a common library for container management across different technologies like Docker and LXC. It avoids external dependencies and supports multiple container types through a common API. The goal is to allow cooperation and code reuse across projects through a shared container management library. Libct is a companion C library that provides a frontend API for managing the entire container lifecycle.
BKK16-102 Creating new workload for Workload Automation & using WA with LAVALinaro
The session will cover the steps needed to prepare and use new workload for Workload Automation tool. The talk is based on the use case of preparing the ‘applaunch + I/O’ test case for benchmarking I/O schedulers.
A talk at Open vSwitch 2018 Fall Conference. OVN control plane scalability is critical in production. While the distributed control plane architecture is a big advantage, the distributed controller on each hypervisor became the first bottle neck for scaling. This talk is to share how we (eBay and the community) solved the problem with Incremental Processing - the idea, challenges, and performance improvement results.
BKK16-407 AOSP Toolchain Evolution and experimental languages on AOSPLinaro
Big toolchain changes ahead...
AOSP is moving towards clang based toolchains rather than gcc.
Current AOSP master already builds completely with clang 3.8 by default.
Kernels and some HAL layers for old devices remain on gcc for now.
What is Linaro doing to help?
It's all started in 1999... let's see where we are in 2015. The history of Linux Containers, presented by Kirill Kolyshkin at the ContainerCon 2015 in Seattle.
This document discusses libp2p, a modular network stack for building peer-to-peer applications. It outlines libp2p's architecture, including identity, multiaddressing, peer routing using Kademlia, swarm connections, distributed records, and discovery mechanisms. It then provides an overview of coding a simple blockchain application in Go using libp2p, describing required import packages, shared objects, blockchain functions, handling incoming data streams with a host, and a demo.
This summary covers two lightning talks from BSDTW17:
1) The first talk proposed allowing multiple encrypted GEOM providers to attach using the same passphrase, improving on having to enter the passphrase multiple times. A new rc.conf syntax was suggested.
2) The second talk discussed ongoing work to improve MP-safe networking in NetBSD, including improvements to layers 2-3, drivers, and other components like pfill and npf. Remaining work and questions were also outlined.
NATS in action - A Real time Microservices Architecture handled by NATSRaül Pérez
The document describes an architecture for managing infrastructure and platforms using microservices that communicate over NATS. Key points:
- Ernest is an IAAS+PAAS hybrid cloud platform that uses microservices and NATS to manage infrastructure resources, deploy applications, and automate scaling across multiple cloud providers.
- NATS is used as the central communication system between Ernest microservices to process user-defined workflows for building environments.
- Workflows define things like networks, virtual machine instances, configuration, and can deploy and provision applications. This allows Ernest to automate the creation and management of environments.
This presentation is an overview of the API design and management solutions suitable for Cloud Native Environments. This main focus lies on synchronous API design and micro services.
Deep Postgres Extensions in Rust | PGCon 2019 | Jeff DavisCitus Data
Postgres relies heavily on an extension ecosystem, but that is almost 100% dependent on C; which cuts out developers, libraries, and ideas from the world of Postgres. postgres-extension.rs changes that by supporting development of extensions in Rust. Rust is a memory-safe language that integrates nicely in any environment, has powerful libraries, a vibrant ecosystem, and a prolific developer community.
Rust is a unique language because it supports high-level features but all the magic happens at compile-time, and the resulting code is not dependent on an intrusive or bulky runtime. That makes it ideal for integrating with postgres, which has a lot of its own runtime, like memory contexts and signal handlers. postgres-extension.rs offers this integration, allowing the development of extensions in rust, even if deeply-integrated into the postgres internals, and helping handle tricky issues like error handling. This is done through a collection of Rust function declarations, macros, and utility functions that allow rust code to call into postgres, and safely handle resulting errors.
LCU14 310- Cisco ODP
---------------------------------------------------
Speaker: Robbie King
Date: September 17, 2014
---------------------------------------------------
★ Session Summary ★
Cisco to present their experience using ODP to provide portable accelerated access to crypto functions on various SoCs.
---------------------------------------------------
★ Resources ★
Zerista: http://lcu14.zerista.com/event/member/137757
Google Event: https://plus.google.com/u/0/events/ckmld1hll5jjijq11frbqmptet8
Video: https://www.youtube.com/watch?v=eFlTmslVK-Y&list=UUIVqQKxCyQLJS6xvSmfndLA
Etherpad: http://pad.linaro.org/p/lcu14-310
---------------------------------------------------
★ Event Details ★
Linaro Connect USA - #LCU14
September 15-19th, 2014
Hyatt Regency San Francisco Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
The document discusses the Fn Project, an open source serverless computing platform. It is cloud agnostic and aims to democratize serverless computing. Key points include that Fn uses containers as functions, supports multiple programming languages and frameworks, and can run on a user's own infrastructure or clouds. It also has features for operators like load balancing, metrics, and optimization for Kubernetes.
The document discusses the Fn Project, an open source serverless computing platform. It is cloud agnostic and aims to democratize serverless computing. Key points include that Fn uses containers as functions, supports multiple programming languages and frameworks, and can run on a user's own infrastructure or clouds. It also has features for operators like load balancing, metrics, and optimization for Kubernetes.
Bsdtw17: johannes m dieterich: high performance computing and gpu acceleratio...Scott Tsai
This document summarizes the current state of high performance computing (HPC) and GPU acceleration on FreeBSD. It outlines key aspects of HPC including typical hardware, operating systems, programming languages, parallelization techniques, software libraries, and challenges porting HPC applications to FreeBSD. It also discusses GPU acceleration using OpenCL and ROCm on FreeBSD and provides a wishlist for further improving support for HPC and accelerators on the FreeBSD platform.
This document discusses Angular (2), including its history, architecture, and use at Meshcloud. It notes that Angular has undergone significant changes through beta releases. Key aspects highlighted include its simplified component-based structure, TypeScript integration, and use of Observables and services. Meshcloud's single page application was built with Angular CLI and uses lazy loading, AOT compilation, and HATEOAS for its REST APIs. Challenges discussed include debugging, performance analysis, and CORS configuration complexities.
Envoy is an open source edge and service proxy developed by Lyft to be used as a communication bus and network proxy. It can be used to add capabilities like traffic management, observability and security to services without code modification. Some key features include lightweight and low latency design, dynamic configuration via xDS APIs, rich observability, and built-in load balancing, failure recovery and traffic control capabilities. It uses concepts like clusters, listeners and routes. The Envoy admin API provides endpoints to interact with it and retrieve stats, configs and logs. Dynamic configuration allows adding and updating resources like clusters and listeners at runtime. Circuit breaking, outlier detection and health checking can be configured and demoed.
Kubernetes @ Squarespace (SRE Portland Meetup October 2017)Kevin Lynch
In this presentation I talk about our motivation to converting our microservices to run on Kubernetes. I discuss many of the technical challenges we encountered along the way, including networking issues, Java issues, monitoring and alerting, and managing all of our resources!
This document summarizes updates to the Oslo project in OpenStack. It discusses Oslo's mission to produce shared Python libraries for OpenStack projects. It outlines recent improvements to Oslo messaging and policy libraries. It previews upcoming features in OpenStack Queens and Rocky, such as policy depreciation and adding scope to policy rules. The document provides information on contributing to and giving feedback on the Oslo project.
Ceph Pacific is a major release of the Ceph distributed storage system scheduled for March 2021. It focuses on five key themes: usability, performance, ecosystem integration, multi-site capabilities, and quality. New features in Pacific include automated upgrades, improved dashboard functionality, snapshot-based CephFS mirroring, per-bucket replication in RGW, and expanded telemetry collection. Looking ahead, the Quincy release will focus on continued improvements in these areas such as resource-aware scheduling in cephadm and multi-site monitoring capabilities.
This document discusses container orchestration and provides an overview of different container orchestration technologies including Mesos, Kubernetes, CoreOS Fleet, and Docker libswarm. It explains the benefits of containers and orchestration, and covers concepts like schedulers, service discovery, monitoring, and clustering.
Deep dive into highly available open stack architecture openstack summit va...Arthur Berezin
This document summarizes a presentation on highly available OpenStack architecture. It discusses using Pacemaker and HAProxy for high availability enabling services. Shared databases like MariaDB Galera and message queues like RabbitMQ are made highly available. Individual OpenStack services like Keystone, Glance, Cinder, Nova, Neutron, and Horizon are made highly available through active-active clustering, load balancing, and fencing. The presentation covers topologies for controller, compute, network, and storage nodes. It provides examples of making individual services highly available and discusses ongoing work and future plans to improve high availability in OpenStack.
In this session Stefan will go deep into the security aspects of Flux v2. We’ll start by explaining the Flux authorization model and how it relates to Kubernetes RBAC and account impersonation. Then we’ll compare the soft and hard multitenancy models from a GitOps perspective. We’ll explore the configuration options on how platform admins can lockdown Flux on multitenant environments and how they can onboard tenants onto clusters using the Flux CLI and Git. Finally we’ll talk about the Flux roadmap for 2022.
Kubernetes @ Squarespace: Kubernetes in the DatacenterKevin Lynch
The document discusses Kubernetes adoption at Squarespace as their engineering organization grew. It describes the challenges of a monolithic architecture and how microservices addressed these challenges. It then discusses how Kubernetes helped solve operational challenges of provisioning and scaling microservices. Key Kubernetes concepts like pods, deployments, services and namespaces are explained. Monitoring, networking and security with Kubernetes are also covered.
This document summarizes how Pivotal Tracker, an agile project management tool, adheres to the principles of the Twelve-Factor App methodology. It discusses how Tracker handles codebase, dependencies, configuration, backing services, building/releasing/running, processes, port binding, concurrency, disposability, development/production parity, logging, and admin processes according to the Twelve-Factor App methodology. Key aspects covered include Tracker's use of a single codebase deployed to multiple environments, dependency management via Bundler and NPM, centralized configuration, scaling of web and worker processes, and logging to standard output.
Serving Deep Learning Models At Scale With RedisAI: Luca AntigaRedis Labs
This document provides an overview and roadmap for RedisAI, which allows serving deep learning models using Redis. Key points:
- RedisAI turns Redis into a full-fledged deep learning runtime by introducing tensors as a new data type and enabling model execution on CPU and GPU.
- Models can be exported from frameworks like TensorFlow and PyTorch and served using the RedisAI API. Scripts can also be used to define computations directly in RedisAI.
- RedisAI aims to keep models hot in memory, run anywhere Redis runs, and optimize resource usage. Future plans include DAG execution, auto-batching, ONNX support, and advanced monitoring.
- A demo of RedisAI will be provided
This document summarizes some of the key upcoming features in Airflow 2.0, including scheduler high availability, DAG serialization, DAG versioning, a stable REST API, functional DAGs, an official Docker image and Helm chart, and providers packages. It provides details on the motivations, designs, and status of these features. The author is an Airflow committer and release manager who works on Airflow full-time at Astronomer.
Similar to Cassandra Summit 2014: Drivers: Let Our Powers Combine! (20)
Forrester CXNYC 2017 - Delivering great real-time cx is a true craftDataStax Academy
Companies today are innovating with real-time data to deliver truly amazing customer experiences in the moment. Real-time data management for real-time customer experience is core to staying ahead of competition and driving revenue growth. Join Trays to learn how Comcast is differentiating itself from it's own historical reputation with Customer Experience strategies.
Introduction to DataStax Enterprise Graph DatabaseDataStax Academy
DataStax Enterprise (DSE) Graph is a built to manage, analyze, and search highly connected data. DSE Graph, built on NoSQL Apache Cassandra delivers continuous uptime along with predictable performance and scales for modern systems dealing with complex and constantly changing data.
Download DataStax Enterprise: Academy.DataStax.com/Download
Start free training for DataStax Enterprise Graph: Academy.DataStax.com/courses/ds332-datastax-enterprise-graph
Introduction to DataStax Enterprise Advanced Replication with Apache CassandraDataStax Academy
DataStax Enterprise Advanced Replication supports one-way distributed data replication from remote database clusters that might experience periods of network or internet downtime. Benefiting use cases that require a 'hub and spoke' architecture.
Learn more at http://www.datastax.com/2016/07/stay-100-connected-with-dse-advanced-replication
Advanced Replication docs – https://docs.datastax.com/en/latest-dse/datastax_enterprise/advRep/advRepTOC.html
This document discusses using Docker containers to run Cassandra clusters at Walmart. It proposes transforming existing Cassandra hardware into containers to better utilize unused compute. It also suggests building new Cassandra clusters in containers and migrating old clusters to double capacity on existing hardware and save costs. Benchmark results show Docker containers outperforming virtual machines on OpenStack and Azure in terms of reads, writes, throughput and latency for an in-house application.
The document discusses the evolution of Cassandra's data modeling capabilities over different versions of CQL. It covers features introduced in each version such as user defined types, functions, aggregates, materialized views, and storage attached secondary indexes (SASI). It provides examples of how to create user defined types, functions, materialized views, and SASI indexes in CQL. It also discusses when each feature should and should not be used.
Cisco has a large global IT infrastructure supporting many applications, databases, and employees. The document discusses Cisco's existing customer service and commerce systems (CSCC/SMS3) and some of the performance, scalability, and user experience issues. It then presents a proposed new architecture using modern technologies like Elasticsearch, Cassandra, and microservices to address these issues and improve agility, performance, scalability, uptime, and the user interface.
Data Modeling is the one of the first things to sink your teeth into when trying out a new database. That's why we are going to cover this foundational topic in enough detail for you to get dangerous. Data Modeling for relational databases is more than a touch different than the way it's approached with Cassandra. We will address the quintessential query-driven methodology through a couple of different use cases, including working with time series data for IoT. We will also demo a new tool to get you bootstrapped quickly with MovieLens sample data. This talk should give you the basics you need to get serious with Apache Cassandra.
Hear about how Coursera uses Cassandra as the core of its scalable online education platform. I'll discuss the strengths of Cassandra that we leverage, as well as some limitations that you might run into as well in practice.
In the second part of this talk, we'll dive into how best to effectively use the Datastax Java drivers. We'll dig into how the driver is architected, and use this understanding to develop best practices to follow. I'll also share a couple of interesting bug we've run into at Coursera.
This document promotes Datastax Academy and Certification resources for learning Cassandra including a three step process of learning Cassandra, getting certified, and profiting. It lists community evangelists like Luke Tillman, Patrick McFadin, Jon Haddad, and Duy Hai Doan who can provide help and resources.
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & PythonDataStax Academy
This document summarizes three presentations from a Cassandra Meetup:
1. Jason Cacciatore discussed monitoring Cassandra health at scale across hundreds of clusters and thousands of nodes using the reactive stream processing system Mantis.
2. Minh Do explained how Cassandra uses the gossip protocol for tasks like discovering cluster topology and sharing load information. Gossip also has limitations and race conditions that can cause problems.
3. Chris Kalantzis presented Cassandra Tickler, an open source tool he created to help repair operations that get stuck by running lightweight consistency checks on an old Cassandra version or a node with space issues.
Cassandra @ Sony: The good, the bad, and the ugly part 1DataStax Academy
This talk covers scaling Cassandra to a fast growing user base. Alex and Isaias will cover new best practices and how to work with the strengths and weaknesses of Cassandra at large scale. They will discuss how to adapt to bottlenecks while providing a rich feature set to the playstation community.
Cassandra @ Sony: The good, the bad, and the ugly part 2DataStax Academy
The document discusses Cassandra's use by Sony Network Entertainment to handle the large amount of user and transaction data from the growing PlayStation Network. It describes how the relational database they previously used did not scale sufficiently, so they transitioned to using Cassandra in a denormalized and customized way. Some of the techniques discussed include caching user data locally on application servers, secondary indexing, and using a real-time indexer to enable personalized search by friends.
This document provides guidance on setting up server monitoring, application metrics, log aggregation, time synchronization, replication strategies, and garbage collection for a Cassandra cluster. Key recommendations include:
1. Use monitoring tools like Monit, Munin, Nagios, or OpsCenter to monitor processes, disk usage, and system performance. Aggregate all logs centrally with tools like Splunk, Logstash, or Greylog.
2. Install NTP to synchronize server times which are critical for consistency.
3. Use the NetworkTopologyStrategy replication strategy and avoid SimpleStrategy for production.
4. Avoid shared storage and focus on low latency and high throughput using multiple local disks.
5. Understand
This document discusses real time analytics using Spark and Spark Streaming. It provides an introduction to Spark and highlights limitations of Hadoop for real-time analytics. It then describes Spark's advantages like in-memory processing and rich APIs. The document discusses Spark Streaming and the Spark Cassandra Connector. It also introduces DataStax Enterprise which integrates Spark, Cassandra and Solr to allow real-time analytics without separate clusters. Examples of streaming use cases and demos are provided.
Introduction to Data Modeling with Apache CassandraDataStax Academy
This document provides an introduction to data modeling with Apache Cassandra. It discusses how Cassandra data models are designed based on the queries an application will perform, unlike relational databases which are designed based on normalization rules. Key aspects covered include avoiding joins by denormalizing data, using a partition key to group related data on nodes, and controlling the clustering order of columns. The document provides examples of modeling time series and tag data in Cassandra.
The document discusses different data storage options for small, medium, and large datasets. It argues that relational databases do not scale well for large datasets due to limitations with replication, normalization, sharding, and high availability. The document then introduces Apache Cassandra as a fast, distributed, highly available, and linearly scalable database that addresses these limitations through its use of a hash ring architecture and tunable consistency levels. It describes Cassandra's key features including replication, compaction, and multi-datacenter support.
Enabling Search in your Cassandra Application with DataStax EnterpriseDataStax Academy
This document provides an overview of using Datastax Enterprise (DSE) Search to enable full-text search capabilities in Cassandra applications. It discusses how DSE Search integrates Solr/Lucene indexing with the Cassandra database to allow searching of application data without requiring a separate search cluster, external ETL processes, or custom application code for data management. The document also includes examples of different types of searches that can be performed, such as filtering, faceting, geospatial searches, and joins. It concludes with basic steps for getting started with DSE Search such as creating a Solr core and executing search queries using CQL.
The document discusses common bad habits that can occur when working with Apache Cassandra and provides recommendations to avoid them. Specifically, it addresses issues like sliding back into a relational mindset when the data model is different, improperly benchmarking Cassandra systems, having slow client performance, and neglecting important operations tasks. The presentation provides guidance on how to approach data modeling, querying, benchmarking, driver usage, and operations management in a Cassandra-oriented way.
This document provides an overview and examples of modeling data in Apache Cassandra. It begins with an introduction to thinking about data models and queries before modeling, and emphasizes that Cassandra requires modeling around queries due to its limitations on joins and indexes. The document then provides examples of modeling user, video, and other entity data for a video sharing application to support common queries. It also discusses techniques for handling queries that could become hotspots, such as bucketing or adding random values. The examples illustrate best practices for data duplication, materialized views, and time series data storage in Cassandra.
The document discusses best practices for using Apache Cassandra, including:
- Topology considerations like replication strategies and snitches
- Booting new datacenters and replacing nodes
- Security techniques like authentication, authorization, and SSL encryption
- Using prepared statements for efficiency
- Asynchronous execution for request pipelining
- Batch statements and their appropriate uses
- Improving performance through techniques like the new row cache
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
3. API
● Supports C* 1.2 and 2.0
● Asynchronous
● Uses futures
● Threadsafe
o Session
o Immutability
4. Getting started
● Dependencies
o libuv 0.10 and OpenSSL
o boost 1.55 and libssh2 (optional)
● libcassandra.so (cassandra.dll)
● https://github.com/datastax/cpp-driver/