This document summarizes a presentation about transitioning a data service from an on-premise architecture to a serverless cloud-native architecture on AWS. It describes the initial on-premise setup with always-on components, challenges of scaling that setup, and rethinking the architecture as a serverless application using AWS services like API Gateway, Lambda, DynamoDB, S3, and CloudFormation for deployment. It also covers lessons learned around testing, deployment, and choosing the right AWS services.
DIY Netflow Data Analytic with ELK Stack by CL LeeMyNOG
This document discusses using the ELK stack (Elasticsearch, Logstash, Kibana) to analyze netflow data. It describes IP ServerOne's infrastructure managing over 5000 servers across multiple data centers. Netflow data is collected and sent to Logstash for processing, then stored in Elasticsearch for querying and visualization in Kibana. Examples are given of how the data can be used, such as identifying top talkers, traffic profiling by ASN, and troubleshooting with IP conversation history. The ELK stack is concluded to be a powerful yet not difficult tool for analyzing netflow traffic.
Hadoop summit - Scaling Uber’s Real-Time Infra for Trillion Events per DayAnkur Bansal
Building data pipelines is pretty hard! Building a multi-datacenter active-active real time data pipeline for multiple classes of data with different durability, latency and availability guarantees is much harder.
Real time infrastructure powers critical pieces of Uber (think Surge) and in this talk we will discuss our architecture, technical challenges, learnings and how a blend of open source infrastructure (Apache Kafka and Samza) and in-house technologies have helped Uber scale.
Peng Kang, Software Engineer, Dropbox + Richi Gupta, Engineering Manager, Dropbox
As a scalable and reliable data streaming solution with a rich ecosystem, Kafka is widely adopted in Dropbox infrastructure in various scenarios. It is part of Dropbox’s analytics data pipeline, stream processing platform and more mission critical systems. Jetstream is the team that provides Kafka as a service in Dropbox infrastructure. We manage the clusters, develop tooling, and enforce policies, so that our users can enjoy a highly available and reliable service. In this talk, we will share our experiences and learnings running Kafka clusters, pipelines that enable high durability (direct writes to kafka) and availability (goscribe), the policies we enforce for high reliability, the tooling we have for maintenance and stress testing, and finally an overview of Dropbox’s next generation queueing service built on top Kafka.
https://www.meetup.com/KafkaBayArea/events/266327152/
Pere Urbon-Bayes, Solutions Architect, Confluent
Wax on Wax off: The Learnings of Karate Kid applied to Apache Kafka® https://www.meetup.com/Berlin-Apache-Kafka-Meetup-by-Confluent/events/266567425/
Kafka Summit SF 2017 - Fast Data in Supply Chain Planningconfluent
This document discusses using fast data and stream processing with Kafka to improve supply chain planning. It describes problems with traditional sequential and batch-oriented systems and proposes using Kafka streams to process continuous data in real-time. Examples are given of using Kafka streams for message translation, splitting messages, aggregation, and integrating data from multiple topics to generate reports. Challenges with testing integration points and data quality are also mentioned.
This document summarizes a presentation about transitioning a data service from an on-premise architecture to a serverless cloud-native architecture on AWS. It describes the initial on-premise setup with always-on components, challenges of scaling that setup, and rethinking the architecture as a serverless application using AWS services like API Gateway, Lambda, DynamoDB, S3, and CloudFormation for deployment. It also covers lessons learned around testing, deployment, and choosing the right AWS services.
DIY Netflow Data Analytic with ELK Stack by CL LeeMyNOG
This document discusses using the ELK stack (Elasticsearch, Logstash, Kibana) to analyze netflow data. It describes IP ServerOne's infrastructure managing over 5000 servers across multiple data centers. Netflow data is collected and sent to Logstash for processing, then stored in Elasticsearch for querying and visualization in Kibana. Examples are given of how the data can be used, such as identifying top talkers, traffic profiling by ASN, and troubleshooting with IP conversation history. The ELK stack is concluded to be a powerful yet not difficult tool for analyzing netflow traffic.
Hadoop summit - Scaling Uber’s Real-Time Infra for Trillion Events per DayAnkur Bansal
Building data pipelines is pretty hard! Building a multi-datacenter active-active real time data pipeline for multiple classes of data with different durability, latency and availability guarantees is much harder.
Real time infrastructure powers critical pieces of Uber (think Surge) and in this talk we will discuss our architecture, technical challenges, learnings and how a blend of open source infrastructure (Apache Kafka and Samza) and in-house technologies have helped Uber scale.
Peng Kang, Software Engineer, Dropbox + Richi Gupta, Engineering Manager, Dropbox
As a scalable and reliable data streaming solution with a rich ecosystem, Kafka is widely adopted in Dropbox infrastructure in various scenarios. It is part of Dropbox’s analytics data pipeline, stream processing platform and more mission critical systems. Jetstream is the team that provides Kafka as a service in Dropbox infrastructure. We manage the clusters, develop tooling, and enforce policies, so that our users can enjoy a highly available and reliable service. In this talk, we will share our experiences and learnings running Kafka clusters, pipelines that enable high durability (direct writes to kafka) and availability (goscribe), the policies we enforce for high reliability, the tooling we have for maintenance and stress testing, and finally an overview of Dropbox’s next generation queueing service built on top Kafka.
https://www.meetup.com/KafkaBayArea/events/266327152/
Pere Urbon-Bayes, Solutions Architect, Confluent
Wax on Wax off: The Learnings of Karate Kid applied to Apache Kafka® https://www.meetup.com/Berlin-Apache-Kafka-Meetup-by-Confluent/events/266567425/
Kafka Summit SF 2017 - Fast Data in Supply Chain Planningconfluent
This document discusses using fast data and stream processing with Kafka to improve supply chain planning. It describes problems with traditional sequential and batch-oriented systems and proposes using Kafka streams to process continuous data in real-time. Examples are given of using Kafka streams for message translation, splitting messages, aggregation, and integrating data from multiple topics to generate reports. Challenges with testing integration points and data quality are also mentioned.
WEBridge 4 SAP
WEBridge is publishing to SAP
Part create and update
Part Revision update
BOM create and update
ECN with part
ECN with revised part
ECN with BOM
ECN with revised BOM
ICANN DNS Symposium (IDS 2019): RDAP CDN Distribution ExperienceAPNIC
APNIC's Tom Harrison gives a presention on the RDAP CDN Distribution experience at the Registration Operations Workshop, held as part of IDS 2019 in Bangkok, Thailand from 10 t0 11 May 2019.
SuiteWorld16: Mega Volume - How TubeMogul Leverages NetSuiteNicolas Brousse
TubeMogul is an enterprise software company for digital branding that leverages NetSuite to automate tracking and billing of its advertising campaigns. It exports campaign data hourly from its platform to NetSuite using custom APIs and Amazon SWF. At the end of each month, accounting verifies the ingested data and cuts invoices to enable teams to focus on growing revenue. Upaya developed custom RESTlet APIs to integrate NetSuite with TubeMogul's systems for customer, campaign, vendor and other data.
WEBridge is a tool that integrates Windchill 10 with Oracle EBS, transferring data between the two systems in real time using XML files. It uses a two-tier architecture with Java, C++, and XML and runs on a custom HTTP port. Version 2.0 includes new reports comparing BOM and ECN data between Windchill and EBS as well as email notifications when either system goes down. It is lightweight, highly customizable, and cost effective.
Building a derived data store using KafkaVenu Ryali
LinkedIn built a new derived data store called Venice to address limitations of their previous system Voldemort. Venice uses Kafka to enable scalable, fault-tolerant processing and replication of both batch-processed and incrementally updated derived data. It processes data through Hadoop jobs to Kafka topics, from which both batch-stored and real-time copies are maintained through Venice and Samza respectively. Kafka Mirror Maker replicates data across data centers for high availability.
___________________________________________
Meetup#7 | Session 2 | 21/03/2018 | Taboola
_____________________________________________
In this talk, we will present our multi-DC Kafka architecture, and discuss how we tackle sending and handling 10B+ messages per day, with maximum availability and no tolerance for data loss.
Our architecture includes technologies such as Cassandra, Spark, HDFS, and Vertica - with Kafka as the backbone that feeds them all.
Connecting Field Operations and the Corporate Office - FME Server as a Near R...Safe Software
This presentation shows how Devon uses FME Server to pull, process, and write FLA (Field Logistics Application) trucking Logistics data to our Enterprise SDE Geodatabase in Near Real-Time using RESTful web services and how the data is being consumed by different groups of people throughout our business. The presentation will also focus on some of the challenges, benefits, and next steps that Devon has seen throughout the process.
The second part of the presentation illustrates how Devon uses FME to consolidate various data sources (both government and public) to help our emergency response and executive teams to make better and more informed decisions to minimize the destructive effects annual wildfires have on our community.
Real time dashboards with Kafka and DruidVenu Ryali
This document describes a tracking platform that provides real-time insights by ingesting streaming data from various sources into Druid for analysis and visualization. It addresses challenges around acquiring data at scale from disparate systems, processing the data using Spark Streaming and Kafka, and aggregating and exploring the data in Druid and dashboards. The platform connects these systems together into a cohesive architecture for real-time analytics and model building.
L’odyssée d’une requête HTTP chez ScalewayScaleway
This document provides a summary of the journey a HTTP request takes when interacting with Scaleway's API gateway and backend services. It describes how requests are routed, load balanced, authenticated, rate limited and sent to the appropriate backend service across different regions. The document is presented as a story told over 7 chapters, covering topics like gRPC integration, locality routing, authentication, service discovery and load balancing.
Serverless technologies and capabilities are here and are accessible now more than ever.
The power of infinite scale and system capabilities has never been more accessible. This also affects traditional front end development as serverless technologies allow for easy construction of backend support for any frontend with ease and simplicity.
In this talk, we will demonstrate how to build a fully functional Graphql endpoint for FE applications using Apollo Server and Client libraries, utilizing different cloud providers. We will also demonstrate the usage of Servless.com framework to set up the required infrastructure as code to simplify and support this setup
The video of the presentation (Hebrew):
https://youtu.be/8ba4cpdtK-8
The document discusses adopting a serverless architecture to address pain points with a traditional architecture. Specifically, it notes that serverless allows processing without needing to run an always-on EC2 instance, easier management of resources for multiple tenants, lower cost parallel processing without expensive resource allocation, and lower costs overall. The new serverless architecture uses AWS Lambda for offloading analytics data hits from application servers to keep bills low, and uses Lambda functions triggered by SNS topics to send SMS messages through the standard SNS API.
The document summarizes the growth of a Consul cluster from a few dozen agents to thousands of agents across multiple data centers. As the cluster scaled up, it began experiencing performance and stability issues like IO wait, slow key-value updates, and DNS query failures. The operators addressed these issues by upgrading Consul versions, improving monitoring, stabilizing join/leave operations, and using DNS caching. They also detailed their process for a successful large-scale Consul upgrade with minimal downtime.
How Sysbee Manages Infrastructures and Provides Advanced Monitoring by Using ...InfluxData
Discover how Sysbee helps organizations bring DevOps culture to small and medium enterprises. Their team helps their customers by improving stability, security, scalability — by providing cost-effective IT infrastructure. Learn how monitoring everything can improve your processes and simplify debugging!
Sysbee’s introspection on monitoring tools over the years
How TSDB’s, and specifically InfluxDB, fits into improving observability
Their approach to using the TICK Stack to improve the web hosting industry
Spotify is moving their entire backend to GCP. You will get to hear their challenges, problems and also success stories and what to think about when choosing and moving services into the cloud.
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon
Splice Machine is a hybrid relational database management system (RDBMS) that allows for both online transaction processing (OLTP) and online analytical processing (OLAP) without the need for separate systems. It provides ANSI SQL support and transactional consistency for massive amounts of data while offering 10x faster performance at 1/4 the cost of other systems. Splice Machine can be deployed on-premises or in the cloud as a fully managed database as a service using the DC/OS platform, which provides container orchestration using Mesos and Docker along with networking and storage integration using CNI and RexRay.
This document provides an overview of HashiCorp Nomad, including its key concepts, architecture, scheduling process, job specification, runtime environment, task drivers, and HTTP API. Nomad is an open source project that supports Docker containers, operates simply with one binary across datacenters, and is built for scale and hybrid cloud deployments. It uses a client-server model with Raft consensus and gossip protocols to manage membership across regions. Scheduling is inspired by Google papers and involves evaluating state changes to generate allocation plans that place tasks based on feasibility and ranking nodes.
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...asperasoft
Michelle Munson, CEO & Co-Founder of Aspera, is joined by Jay Migliaccio, Director or Cloud Technologies at Aspera, and Stephane Houet, Product Manager at EVS Broadcast Equipment, for the following session: MED305- Achieving Consistently High Throughput for Very Large Data Transfers with Amazon S3; Media Production & Distribution Track, on Wednesday, Nov 12, 3:30 PM - 4:15 PM – Level 4 - Delfino 4102
Reducing Snowflakes with Automatic Deployments via Lighthouse by Matthew IversonInfluxData
In this talk we are going to go through the journey that Optum (a Division of UnitedHealth Group) took with its automation in deploying Telegraf, InfluxDB and Lighthouse at scale. With any large enterprise, scale ends up being a critical piece to consider with any item. Lighthouse was developed in-house to control what configurations, versions and plugins go out to each individual server deployed with any of the UnitedHealth Group datacenters. It also gives them the ability to dynamically change items and have configurations rolled out within 30 minutes without ever touching a server.
Instant chat, videoconferencing, voice calling, file transfer, desktop sharing, and web conferencing are all part of the latest set of unified communication and collaboration (UCC) tools, which can significantly reduce communication and collaboration costs. And your WLAN should understand all these different traffic flows, report on call quality, support high-definition data transfer for video, and more. Hear about best practices for app-level configuration and learn how to get your Aruba WLAN ready for Microsoft Skype for Business, and several other enterprise and commercial grade UCC apps.
The document discusses the deployment of an internet exchange point (IXP) in Bangladesh called NIX. It describes the key components of NIX including route servers, RPKI validation, SIPIX for interconnection between IP telephony service providers, root server instances, looking glass, NTP servers, and an IXP manager. It outlines the challenges faced in deployment and initiatives taken to address issues related to traffic filtering, security, call quality, and availability. The future plans include completing root server mapping, establishing multiple points of presence, and adding content caching and domain hosting services.
WEBridge 4 SAP
WEBridge is publishing to SAP
Part create and update
Part Revision update
BOM create and update
ECN with part
ECN with revised part
ECN with BOM
ECN with revised BOM
ICANN DNS Symposium (IDS 2019): RDAP CDN Distribution ExperienceAPNIC
APNIC's Tom Harrison gives a presention on the RDAP CDN Distribution experience at the Registration Operations Workshop, held as part of IDS 2019 in Bangkok, Thailand from 10 t0 11 May 2019.
SuiteWorld16: Mega Volume - How TubeMogul Leverages NetSuiteNicolas Brousse
TubeMogul is an enterprise software company for digital branding that leverages NetSuite to automate tracking and billing of its advertising campaigns. It exports campaign data hourly from its platform to NetSuite using custom APIs and Amazon SWF. At the end of each month, accounting verifies the ingested data and cuts invoices to enable teams to focus on growing revenue. Upaya developed custom RESTlet APIs to integrate NetSuite with TubeMogul's systems for customer, campaign, vendor and other data.
WEBridge is a tool that integrates Windchill 10 with Oracle EBS, transferring data between the two systems in real time using XML files. It uses a two-tier architecture with Java, C++, and XML and runs on a custom HTTP port. Version 2.0 includes new reports comparing BOM and ECN data between Windchill and EBS as well as email notifications when either system goes down. It is lightweight, highly customizable, and cost effective.
Building a derived data store using KafkaVenu Ryali
LinkedIn built a new derived data store called Venice to address limitations of their previous system Voldemort. Venice uses Kafka to enable scalable, fault-tolerant processing and replication of both batch-processed and incrementally updated derived data. It processes data through Hadoop jobs to Kafka topics, from which both batch-stored and real-time copies are maintained through Venice and Samza respectively. Kafka Mirror Maker replicates data across data centers for high availability.
___________________________________________
Meetup#7 | Session 2 | 21/03/2018 | Taboola
_____________________________________________
In this talk, we will present our multi-DC Kafka architecture, and discuss how we tackle sending and handling 10B+ messages per day, with maximum availability and no tolerance for data loss.
Our architecture includes technologies such as Cassandra, Spark, HDFS, and Vertica - with Kafka as the backbone that feeds them all.
Connecting Field Operations and the Corporate Office - FME Server as a Near R...Safe Software
This presentation shows how Devon uses FME Server to pull, process, and write FLA (Field Logistics Application) trucking Logistics data to our Enterprise SDE Geodatabase in Near Real-Time using RESTful web services and how the data is being consumed by different groups of people throughout our business. The presentation will also focus on some of the challenges, benefits, and next steps that Devon has seen throughout the process.
The second part of the presentation illustrates how Devon uses FME to consolidate various data sources (both government and public) to help our emergency response and executive teams to make better and more informed decisions to minimize the destructive effects annual wildfires have on our community.
Real time dashboards with Kafka and DruidVenu Ryali
This document describes a tracking platform that provides real-time insights by ingesting streaming data from various sources into Druid for analysis and visualization. It addresses challenges around acquiring data at scale from disparate systems, processing the data using Spark Streaming and Kafka, and aggregating and exploring the data in Druid and dashboards. The platform connects these systems together into a cohesive architecture for real-time analytics and model building.
L’odyssée d’une requête HTTP chez ScalewayScaleway
This document provides a summary of the journey a HTTP request takes when interacting with Scaleway's API gateway and backend services. It describes how requests are routed, load balanced, authenticated, rate limited and sent to the appropriate backend service across different regions. The document is presented as a story told over 7 chapters, covering topics like gRPC integration, locality routing, authentication, service discovery and load balancing.
Serverless technologies and capabilities are here and are accessible now more than ever.
The power of infinite scale and system capabilities has never been more accessible. This also affects traditional front end development as serverless technologies allow for easy construction of backend support for any frontend with ease and simplicity.
In this talk, we will demonstrate how to build a fully functional Graphql endpoint for FE applications using Apollo Server and Client libraries, utilizing different cloud providers. We will also demonstrate the usage of Servless.com framework to set up the required infrastructure as code to simplify and support this setup
The video of the presentation (Hebrew):
https://youtu.be/8ba4cpdtK-8
The document discusses adopting a serverless architecture to address pain points with a traditional architecture. Specifically, it notes that serverless allows processing without needing to run an always-on EC2 instance, easier management of resources for multiple tenants, lower cost parallel processing without expensive resource allocation, and lower costs overall. The new serverless architecture uses AWS Lambda for offloading analytics data hits from application servers to keep bills low, and uses Lambda functions triggered by SNS topics to send SMS messages through the standard SNS API.
The document summarizes the growth of a Consul cluster from a few dozen agents to thousands of agents across multiple data centers. As the cluster scaled up, it began experiencing performance and stability issues like IO wait, slow key-value updates, and DNS query failures. The operators addressed these issues by upgrading Consul versions, improving monitoring, stabilizing join/leave operations, and using DNS caching. They also detailed their process for a successful large-scale Consul upgrade with minimal downtime.
How Sysbee Manages Infrastructures and Provides Advanced Monitoring by Using ...InfluxData
Discover how Sysbee helps organizations bring DevOps culture to small and medium enterprises. Their team helps their customers by improving stability, security, scalability — by providing cost-effective IT infrastructure. Learn how monitoring everything can improve your processes and simplify debugging!
Sysbee’s introspection on monitoring tools over the years
How TSDB’s, and specifically InfluxDB, fits into improving observability
Their approach to using the TICK Stack to improve the web hosting industry
Spotify is moving their entire backend to GCP. You will get to hear their challenges, problems and also success stories and what to think about when choosing and moving services into the cloud.
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon
Splice Machine is a hybrid relational database management system (RDBMS) that allows for both online transaction processing (OLTP) and online analytical processing (OLAP) without the need for separate systems. It provides ANSI SQL support and transactional consistency for massive amounts of data while offering 10x faster performance at 1/4 the cost of other systems. Splice Machine can be deployed on-premises or in the cloud as a fully managed database as a service using the DC/OS platform, which provides container orchestration using Mesos and Docker along with networking and storage integration using CNI and RexRay.
This document provides an overview of HashiCorp Nomad, including its key concepts, architecture, scheduling process, job specification, runtime environment, task drivers, and HTTP API. Nomad is an open source project that supports Docker containers, operates simply with one binary across datacenters, and is built for scale and hybrid cloud deployments. It uses a client-server model with Raft consensus and gossip protocols to manage membership across regions. Scheduling is inspired by Google papers and involves evaluating state changes to generate allocation plans that place tasks based on feasibility and ranking nodes.
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...asperasoft
Michelle Munson, CEO & Co-Founder of Aspera, is joined by Jay Migliaccio, Director or Cloud Technologies at Aspera, and Stephane Houet, Product Manager at EVS Broadcast Equipment, for the following session: MED305- Achieving Consistently High Throughput for Very Large Data Transfers with Amazon S3; Media Production & Distribution Track, on Wednesday, Nov 12, 3:30 PM - 4:15 PM – Level 4 - Delfino 4102
Reducing Snowflakes with Automatic Deployments via Lighthouse by Matthew IversonInfluxData
In this talk we are going to go through the journey that Optum (a Division of UnitedHealth Group) took with its automation in deploying Telegraf, InfluxDB and Lighthouse at scale. With any large enterprise, scale ends up being a critical piece to consider with any item. Lighthouse was developed in-house to control what configurations, versions and plugins go out to each individual server deployed with any of the UnitedHealth Group datacenters. It also gives them the ability to dynamically change items and have configurations rolled out within 30 minutes without ever touching a server.
Instant chat, videoconferencing, voice calling, file transfer, desktop sharing, and web conferencing are all part of the latest set of unified communication and collaboration (UCC) tools, which can significantly reduce communication and collaboration costs. And your WLAN should understand all these different traffic flows, report on call quality, support high-definition data transfer for video, and more. Hear about best practices for app-level configuration and learn how to get your Aruba WLAN ready for Microsoft Skype for Business, and several other enterprise and commercial grade UCC apps.
The document discusses the deployment of an internet exchange point (IXP) in Bangladesh called NIX. It describes the key components of NIX including route servers, RPKI validation, SIPIX for interconnection between IP telephony service providers, root server instances, looking glass, NTP servers, and an IXP manager. It outlines the challenges faced in deployment and initiatives taken to address issues related to traffic filtering, security, call quality, and availability. The future plans include completing root server mapping, establishing multiple points of presence, and adding content caching and domain hosting services.
There is a lot of talk now around the term Service Mesh. The hype is high and the promise is real. The problem is that there is not really a good definition of what service mesh really is. In this talk we are going to review the problem service meshes are trying to solve, name the core components that make up a service mesh, and discuss the benefits an organization can receive by implementing this new technology.
Building high performance microservices in finance with Apache ThriftRX-M Enterprises LLC
Apache Roadshow Chicago Talk on May 14, 2019
In this talk we’ll look at the ways Apache Thrift can solve performance problems commonly facing next generation applications deployed in performance sensitive capital markets and banking environments. The talk will include practical examples illustrating the construction, performance and resource utilization benefits of Apache Thrift. Apache Thrift is a high-performance cross platform RPC and serialization framework designed to make it possible for organizations to specify interfaces and application wide data structures suitable for serialization and transport over a wide variety of schemes. Due to the unparalleled set of languages supported by Apache Thrift, these interfaces and structs have similar interoperability to REST type services with an order of magnitude improvement in performance. Apache Thrift services are also a perfect fit for container technology, using considerably fewer resources than traditional application server style deployments. Decomposing applications into microservices, packaging them into containers and orchestrating them on systems like Kubernetes can bring great value to an organization; however, it can also take a very fast monolithic application and turn it into a high latency web of slow, resource hungry services. Apache Thrift is a perfect solution to the performance and resource ills of many microservice based endeavors.
3 Ways to Improve Performance from a Storage PerspectivePerforce
In this session, get three takeaways about Perforce performance benchmarks and their results across varying storage protocols, using NetApp storage as an example. Learn how to use Perforce benchmarks and tools to validate the performance of your Perforce deployment; understand Perforce performance across different storage protocols; and get tips and tricks for deploying Perforce on varying storage technologies.
VPOP provides bandwidth optimization technology that can expand a service provider's capacity by up to 70% without costly infrastructure upgrades. It works by compressing, accelerating, and optimizing traffic across a global network of points of presence. Service providers can improve quality of service for customers and gain additional bandwidth to support growth at a fraction of traditional costs through VPOP's pay-as-you-go model. The technology is designed to be easily deployed on any existing network links.
vPOP networks allows ISPs and network operators to expand their current data capacity - providing up to 70% additional bandwidth on top of the ISP's current physical link. vPOP networks relies on a combination of unique compression, acceleration and optimization technologies
ZCorum is a privately held company that provides broadband and networking solutions including carrier-grade network address translation (CGNAT) to help telecommunications companies reduce costs and improve the subscriber experience, as CGNAT allows operators to extend limited IPv4 addresses and facilitate migration to IPv6 while maintaining quality of service.
OSMC 2010 | Monitoring mit Icinga by Icinga TeamNETWAYS
Icinga ist eine Abspaltung und Weiterentwicklung der Monitoring Software Nagios. Neben den bekannten Nagios Features enthält Icinga bereits eine integrierte Datenbankanbindung für MySQL, PostgreSQL und Oracle sowie eine darauf aufbauende API. Um diese Funktionen und ein neues Webinterface erweitert, bleibt es dabei voll kompatibel zu Nagios und dessen zahlreichen Plugins. In diesem Vortrag werden die Neuheiten rund um Monitoring mit Icinga vorgestellt.
This document discusses principles for optimizing connectivity to Office 365 services. It recommends differentiating Office 365 traffic, optimizing routes to minimize latency, and assessing whether network security devices duplicate functionality available in Office 365. It provides information on Microsoft's published endpoints and describes challenges customers have reported with frequent IP address updates. The document outlines new categories for IP and URL endpoints to help customers optimize network configurations for Office 365 traffic.
Building a Streaming Microservice Architecture: with Apache Spark Structured ...Databricks
As we continue to push the boundaries of what is possible with respect to pipeline throughput and data serving tiers, new methodologies and techniques continue to emerge to handle larger and larger workloads
- LinkedIn operates a global backbone network to connect its datacenters and points of presence to support services for professional networking.
- The network previously used RSVP-TE tunnels to control traffic flows but faced issues with underutilized links, operational overhead, and tunnel setup failures.
- LinkedIn improved its traffic engineering by implementing a dynamic container LSP approach using multiple member RSVP-TE tunnels. This allows automatic adjustment of tunnels based on traffic thresholds and improves bandwidth utilization while reducing management overhead.
How our Cloudy Mindsets Approached Physical RoutersSteffen Gebert
The document discusses how EMnify integrated a pair of Juniper routers into their existing cloud-based workflows and monitoring tools. They deployed the routers using Ansible playbooks for configuration management and leveraged existing tools like Prometheus, Grafana, and CloudWatch for monitoring metrics, logs, and alerts. While the integration worked well, they note some challenges around testing configurations and limitations of the monitoring tools for high data volumes. The overall approach focused on minimizing new processes and tools by bridging the routers into their existing cloud-centric tooling.
What architectures are best suited for today’s date center network? And how does Cumulus Networks make it easier to build networks? Dinesh Dutt (@ddcumulus), Chief Scientist at Cumulus Networks goes on to answer these questions in an entertaining and lively presentation. Customers need simple building blocks with simple L2 networking (MLAG) and L3 Clos. Cumulus Linux supports both, it supports additional functionality to simplify configuration (ex. PTM, IP unnumbered, L2 & L3 automation) and it is a platform that people can innovate on top of.
Benchmark Background:
- Requested by TV Broadcaster for a voting platform
- Choose the best NoSQL DB for the use case
- Push the DB to the max limit
- AWS infrastructure
Goal:
- 2M votes/sec at the best TCO
- 2M Votes = ~7M DB Ops/sec
Continuum PCAP
Cost Effective, Open Network Packet Capture
How do you know what is really coming through your network? Without capturing that traffic, you don't have the means of identifying and solving your security and network performance problems.
Though some organizations have the budgets and infrastructure to record network traffic, many current tools either do not capture all necessary packets, are too expensive to implement on a large scale, or don't easily integrate with other applications. And even companies that are capturing their network data are frustrated by these systems' lack of flexibility, or paying for functionality that they don't really use.
Continuum PCAP solves these problems by fusing the best of both worlds. It is a powerful, affordable enterprise-class packet capture appliance that integrates with your favorite 3rd party or open-source tools, or with your own applications via a REST API.
How Uber scaled its Real Time Infrastructure to Trillion events per dayDataWorks Summit
Building data pipelines is pretty hard! Building a multi-datacenter active-active real time data pipeline for multiple classes of data with different durability, latency and availability guarantees is much harder.
Real time infrastructure powers critical pieces of Uber (think Surge) and in this talk we will discuss our architecture, technical challenges, learnings and how a blend of open source infrastructure (Apache Kafka and Samza) and in-house technologies have helped Uber scale.
5 things you didn't know nginx could do velocitysarahnovotny
NGINX is a well kept secret of high performance web service. Many people know NGINX as an Open Source web server that delivers static content blazingly fast. But, it has many more features to help accelerate delivery of bits to your end users even in more complicated application environments. In this talk we’ll cover several things that most developers or administrators could implement to further delight their end users.
This document discusses using a traditional migration design for high-volume data integration projects. It notes that transactional integration designs may not be fast enough when large amounts of data need to be integrated initially. The session agenda covers best practices for performance, an overview of integration and migration design patterns, and five migration design practices: using bulk processing when possible, upsert operations, using local resources for lookups, staging data, and multi-processing.
We have seen tremendous growth in near real-time ("nearline") processing at LinkedIn in recent years. LinkedIn now uses Apache Samza to process well over a Trillion messages every day across thousands of applications. Apache Samza serves as the foundation for several application platforms at LinkedIn, spanning a wide variety of use cases like security, notifications, machine learning, monitoring, search, and more. In this talk we will explore various features of Apache Samza that provide the flexibility and scalability to we need to power stream processing at massive scale.
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
6. • Written in PHP and JQuery.
• Uses Quagga to maintain a full copy of the global routing table
• Quagga is queried every minute for the size of the global
routing table i.e. how many prefixes
• Data is populated into InfluxDB
• RESTful Web Service written in Silex
• Soon to be Open Source
Near Realtime Metrics
9. BGP PeeringTool
• Written in GoLang
• Utilises publicly available information from PeeringDB
• Uses a template architecture
• Presently templates only for Cisco
• Open Source - Contributors please!
github.com/exascaleuk/BGPPeeringTool