際際滷shows by User: loggly / http://www.slideshare.net/images/logo.gif 際際滷shows by User: loggly / Fri, 28 Jul 2017 22:04:52 GMT 際際滷Share feed for 際際滷shows by User: loggly Loggly - Tools and Techniques For Logging Microservices /slideshow/loggly-tools-and-techniques-for-logging-microservices/78356184 loggly-toolsandtechniquesforloggingmicroservices-170728220452
The microservice architecture is taking the tech world by storm. A growing number of businesses are turning towards microservices as a way of handling large workloads in a distributed and scalable way. In these slides, well look at methods for logging microservices and the tools that make them possible.]]>
The microservice architecture is taking the tech world by storm. A growing number of businesses are turning towards microservices as a way of handling large workloads in a distributed and scalable way. In these slides, well look at methods for logging microservices and the tools that make them possible.]]> Fri, 28 Jul 2017 22:04:52 GMT /slideshow/loggly-tools-and-techniques-for-logging-microservices/78356184 loggly@slideshare.net(loggly) Loggly - Tools and Techniques For Logging Microservices loggly The microservice architecture is taking the tech world by storm. A growing number of businesses are turning towards microservices as a way of handling large workloads in a distributed and scalable way. In these slides, well look at methods for logging microservices and the tools that make them possible. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-toolsandtechniquesforloggingmicroservices-170728220452-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The microservice architecture is taking the tech world by storm. A growing number of businesses are turning towards microservices as a way of handling large workloads in a distributed and scalable way. In these slides, well look at methods for logging microservices and the tools that make them possible.
Loggly - Tools and Techniques For Logging Microservices from SolarWinds Loggly
]]> 1138 3 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-toolsandtechniquesforloggingmicroservices-170728220452-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - 5 Popular .NET Logging Libraries /slideshow/loggly-5-popular-net-logging-libraries/78243348 loggly-5popular-170725174640
Several logging frameworks promise .NET coders a five-minute setup and start logging solution for their projects. We decided to test these frameworks to identify speed and convenience between them.]]>
Several logging frameworks promise .NET coders a five-minute setup and start logging solution for their projects. We decided to test these frameworks to identify speed and convenience between them.]]> Tue, 25 Jul 2017 17:46:40 GMT /slideshow/loggly-5-popular-net-logging-libraries/78243348 loggly@slideshare.net(loggly) Loggly - 5 Popular .NET Logging Libraries loggly Several logging frameworks promise .NET coders a five-minute setup and start logging solution for their projects. We decided to test these frameworks to identify speed and convenience between them. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-5popular-170725174640-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Several logging frameworks promise .NET coders a five-minute setup and start logging solution for their projects. We decided to test these frameworks to identify speed and convenience between them.
Loggly - 5 Popular .NET Logging Libraries from SolarWinds Loggly
]]> 382 3 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-5popular-170725174640-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - IT Operations in a Serverless World (Infographic) /slideshow/loggly-it-operations-in-a-serverless-world-infographic/77558050 loggly-itopsinaserverlessworld-170706020337
IT Operations is no longer just a job. It's a mindset and a shared responsibility for developers. And data is its fuel.]]>
IT Operations is no longer just a job. It's a mindset and a shared responsibility for developers. And data is its fuel.]]> Thu, 06 Jul 2017 02:03:37 GMT /slideshow/loggly-it-operations-in-a-serverless-world-infographic/77558050 loggly@slideshare.net(loggly) Loggly - IT Operations in a Serverless World (Infographic) loggly IT Operations is no longer just a job. It's a mindset and a shared responsibility for developers. And data is its fuel. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-itopsinaserverlessworld-170706020337-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> IT Operations is no longer just a job. It&#39;s a mindset and a shared responsibility for developers. And data is its fuel.
Loggly - IT Operations in a Serverless World (Infographic) from SolarWinds Loggly
]]> 144 2 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-itopsinaserverlessworld-170706020337-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Case Study - Loggly and Docker Deliver Powerful Monitoring for XAPPmedia /slideshow/loggly-case-study-loggly-and-docker-deliver-powerful-monitoring-for-xappmedia/77412051 loggly-casestudy-xappmedia-logglyanddockerdeliverpowerfulmonitoringforxappmedia-170630220924
With Loggly, XAPPmedia: Standardizes its diagnostic approach with the combination of Docker and Loggly Accelerates resolution of software and non-software issues Employs proactive alerting to prevent issues from affecting the business]]>
With Loggly, XAPPmedia: Standardizes its diagnostic approach with the combination of Docker and Loggly Accelerates resolution of software and non-software issues Employs proactive alerting to prevent issues from affecting the business]]> Fri, 30 Jun 2017 22:09:24 GMT /slideshow/loggly-case-study-loggly-and-docker-deliver-powerful-monitoring-for-xappmedia/77412051 loggly@slideshare.net(loggly) Loggly - Case Study - Loggly and Docker Deliver Powerful Monitoring for XAPPmedia loggly With Loggly, XAPPmedia: Standardizes its diagnostic approach with the combination of Docker and Loggly Accelerates resolution of software and non-software issues Employs proactive alerting to prevent issues from affecting the business <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-xappmedia-logglyanddockerdeliverpowerfulmonitoringforxappmedia-170630220924-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With Loggly, XAPPmedia: Standardizes its diagnostic approach with the combination of Docker and Loggly Accelerates resolution of software and non-software issues Employs proactive alerting to prevent issues from affecting the business
Loggly - Case Study - Loggly and Docker Deliver Powerful Monitoring for XAPPmedia from SolarWinds Loggly
]]> 141 3 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-xappmedia-logglyanddockerdeliverpowerfulmonitoringforxappmedia-170630220924-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Case Study - Stanley Black & Decker Transforms Work with Support from Loggly /slideshow/loggly-case-study-stanleyblackdecker-stanley-black-decker-transforms-work-with-support-from-loggly/77412047 loggly-casestudy-stanleyblackdecker-stanleyblackdeckertransformsworkwithsupportfromloggly-170630220921
With Loggly, Stanley Black & Decker: Provides team with troubleshooting capabilities for mobile and IoT applications running on traditional and serverless architectures Supports performance monitoring, security, and PCI compliance needs Enables quick scalability as new innovations are launched]]>
With Loggly, Stanley Black & Decker: Provides team with troubleshooting capabilities for mobile and IoT applications running on traditional and serverless architectures Supports performance monitoring, security, and PCI compliance needs Enables quick scalability as new innovations are launched]]> Fri, 30 Jun 2017 22:09:20 GMT /slideshow/loggly-case-study-stanleyblackdecker-stanley-black-decker-transforms-work-with-support-from-loggly/77412047 loggly@slideshare.net(loggly) Loggly - Case Study - Stanley Black & Decker Transforms Work with Support from Loggly loggly With Loggly, Stanley Black & Decker: Provides team with troubleshooting capabilities for mobile and IoT applications running on traditional and serverless architectures Supports performance monitoring, security, and PCI compliance needs Enables quick scalability as new innovations are launched <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-stanleyblackdecker-stanleyblackdeckertransformsworkwithsupportfromloggly-170630220921-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With Loggly, Stanley Black &amp; Decker: Provides team with troubleshooting capabilities for mobile and IoT applications running on traditional and serverless architectures Supports performance monitoring, security, and PCI compliance needs Enables quick scalability as new innovations are launched
Loggly - Case Study - Stanley Black & Decker Transforms Work with Support from Loggly from SolarWinds Loggly
]]> 496 4 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-stanleyblackdecker-stanleyblackdeckertransformsworkwithsupportfromloggly-170630220921-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Case Study - Loggly and Kubernetes Give Molecule Easy Access to the Logs That Matter /slideshow/loggly-case-study-loggly-and-kubernetes-give-molecule-easy-access-to-the-logs-that-matter/77412038 loggly-casestudy-moleculesoftware-logglyandkubernetesgivemoleculeeasyaccesstothelogsthatmatter-170630220913
With Loggly, Molecule Software: Cuts expenses by replacing ELK stack running on EC2 with Loggly Accelerates troubleshooting with Loggly Dynamic Field Explorer Reduces the customer impact from issues with proactive alerting]]>
With Loggly, Molecule Software: Cuts expenses by replacing ELK stack running on EC2 with Loggly Accelerates troubleshooting with Loggly Dynamic Field Explorer Reduces the customer impact from issues with proactive alerting]]> Fri, 30 Jun 2017 22:09:13 GMT /slideshow/loggly-case-study-loggly-and-kubernetes-give-molecule-easy-access-to-the-logs-that-matter/77412038 loggly@slideshare.net(loggly) Loggly - Case Study - Loggly and Kubernetes Give Molecule Easy Access to the Logs That Matter loggly With Loggly, Molecule Software: Cuts expenses by replacing ELK stack running on EC2 with Loggly Accelerates troubleshooting with Loggly Dynamic Field Explorer Reduces the customer impact from issues with proactive alerting <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-moleculesoftware-logglyandkubernetesgivemoleculeeasyaccesstothelogsthatmatter-170630220913-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With Loggly, Molecule Software: Cuts expenses by replacing ELK stack running on EC2 with Loggly Accelerates troubleshooting with Loggly Dynamic Field Explorer Reduces the customer impact from issues with proactive alerting
Loggly - Case Study - Loggly and Kubernetes Give Molecule Easy Access to the Logs That Matter from SolarWinds Loggly
]]> 67 3 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-moleculesoftware-logglyandkubernetesgivemoleculeeasyaccesstothelogsthatmatter-170630220913-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Case Study - Datami Keeps Developer Productivity High with Loggly /slideshow/loggly-case-study-datami-keeps-developer-productivity-high-with-loggly/77412037 loggly-casestudy-datami-datamikeepsdeveloperproductivityhighwithloggly-170630220912
With Loggly, Datami: Saves time and increases productivity with easier troubleshooting Keeps developers focused on coding Improves quality assurance and performance in commercial trials Effectively monitors new deployments]]>
With Loggly, Datami: Saves time and increases productivity with easier troubleshooting Keeps developers focused on coding Improves quality assurance and performance in commercial trials Effectively monitors new deployments]]> Fri, 30 Jun 2017 22:09:12 GMT /slideshow/loggly-case-study-datami-keeps-developer-productivity-high-with-loggly/77412037 loggly@slideshare.net(loggly) Loggly - Case Study - Datami Keeps Developer Productivity High with Loggly loggly With Loggly, Datami: Saves time and increases productivity with easier troubleshooting Keeps developers focused on coding Improves quality assurance and performance in commercial trials Effectively monitors new deployments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-datami-datamikeepsdeveloperproductivityhighwithloggly-170630220912-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With Loggly, Datami: Saves time and increases productivity with easier troubleshooting Keeps developers focused on coding Improves quality assurance and performance in commercial trials Effectively monitors new deployments
Loggly - Case Study - Datami Keeps Developer Productivity High with Loggly from SolarWinds Loggly
]]> 81 4 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-datami-datamikeepsdeveloperproductivityhighwithloggly-170630220912-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Case Study - BEMOBI - Bemobi Monitors the Experience of 500 Million Mobile Subscribers Using Loggly /slideshow/loggly-case-study-bemobi-bemobi-monitors-the-experience-of-500-million-mobile-subscribers-using-loggly/77411161 loggly-casestudy-bemobi-bemobimonitorstheexperienceof500millionmobilesubscribersusingloggly-170630210932
Bemobi uses Loggly to: Gains visibility and troubleshooting capabilities for applications running on autoscaling Amazon EC2 environments and serverless AWS Lambda compute services Accelerates response times with proactive alerting Maintains QoS agreements critical to customer billing with log-based reporting]]>
Bemobi uses Loggly to: Gains visibility and troubleshooting capabilities for applications running on autoscaling Amazon EC2 environments and serverless AWS Lambda compute services Accelerates response times with proactive alerting Maintains QoS agreements critical to customer billing with log-based reporting]]> Fri, 30 Jun 2017 21:09:31 GMT /slideshow/loggly-case-study-bemobi-bemobi-monitors-the-experience-of-500-million-mobile-subscribers-using-loggly/77411161 loggly@slideshare.net(loggly) Loggly - Case Study - BEMOBI - Bemobi Monitors the Experience of 500 Million Mobile Subscribers Using Loggly loggly Bemobi uses Loggly to: Gains visibility and troubleshooting capabilities for applications running on autoscaling Amazon EC2 environments and serverless AWS Lambda compute services Accelerates response times with proactive alerting Maintains QoS agreements critical to customer billing with log-based reporting <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-bemobi-bemobimonitorstheexperienceof500millionmobilesubscribersusingloggly-170630210932-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Bemobi uses Loggly to: Gains visibility and troubleshooting capabilities for applications running on autoscaling Amazon EC2 environments and serverless AWS Lambda compute services Accelerates response times with proactive alerting Maintains QoS agreements critical to customer billing with log-based reporting
Loggly - Case Study - BEMOBI - Bemobi Monitors the Experience of 500 Million Mobile Subscribers Using Loggly from SolarWinds Loggly
]]> 72 5 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-casestudy-bemobi-bemobimonitorstheexperienceof500millionmobilesubscribersusingloggly-170630210932-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - How to Scale Your Architecture and DevOps Practices for Big Data Applications (AWS DevOps Week 2017) /slideshow/loggly-how-to-scale-your-architecture-and-devops-practices-for-big-data-applications-aws-devops-week-2017/77383285 loggly-awsdevopsweek-v7-170629210224
Loggly's own Manoj Chaudhary gave this presentation at AWS DevOps Week 2017 on scaling architecture and DevOps practices as it relates to a real-life Big Data application - Loggly! ]]>
Loggly's own Manoj Chaudhary gave this presentation at AWS DevOps Week 2017 on scaling architecture and DevOps practices as it relates to a real-life Big Data application - Loggly! ]]> Thu, 29 Jun 2017 21:02:24 GMT /slideshow/loggly-how-to-scale-your-architecture-and-devops-practices-for-big-data-applications-aws-devops-week-2017/77383285 loggly@slideshare.net(loggly) Loggly - How to Scale Your Architecture and DevOps Practices for Big Data Applications (AWS DevOps Week 2017) loggly Loggly's own Manoj Chaudhary gave this presentation at AWS DevOps Week 2017 on scaling architecture and DevOps practices as it relates to a real-life Big Data application - Loggly! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-awsdevopsweek-v7-170629210224-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Loggly&#39;s own Manoj Chaudhary gave this presentation at AWS DevOps Week 2017 on scaling architecture and DevOps practices as it relates to a real-life Big Data application - Loggly!
Loggly - How to Scale Your Architecture and DevOps Practices for Big Data Applications (AWS DevOps Week 2017) from SolarWinds Loggly
]]> 990 4 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-awsdevopsweek-v7-170629210224-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Loggly - Benchmarking 5 Node.js Logging Libraries /slideshow/loggly-benchmarking-5-nodejs-logging-libraries-77379811/77379811 fivenode-170629182911
Loggly compared performance and reliability among three popular debug logging libraries as well as two popular Express request logging libraries. Centralize your Node.js logs with Loggly!]]>
Loggly compared performance and reliability among three popular debug logging libraries as well as two popular Express request logging libraries. Centralize your Node.js logs with Loggly!]]> Thu, 29 Jun 2017 18:29:11 GMT /slideshow/loggly-benchmarking-5-nodejs-logging-libraries-77379811/77379811 loggly@slideshare.net(loggly) Loggly - Benchmarking 5 Node.js Logging Libraries loggly Loggly compared performance and reliability among three popular debug logging libraries as well as two popular Express request logging libraries. Centralize your Node.js logs with Loggly! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fivenode-170629182911-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Loggly compared performance and reliability among three popular debug logging libraries as well as two popular Express request logging libraries. Centralize your Node.js logs with Loggly!
Loggly - Benchmarking 5 Node.js Logging Libraries from SolarWinds Loggly
]]> 1264 2 https://cdn.slidesharecdn.com/ss_thumbnails/fivenode-170629182911-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Why @Loggly Loves Apache Kafka, and How We Use Its Unbreakable Messaging for Better Log Management /slideshow/loggly-kafkainfinitelyscalablemessaging/38897440 loggly-kafka-infinitely-scalable-messaging-140909195419-phpapp01
Agenda for this Presentation The challenges of Log Management at scale Overview of Logglys processing pipeline Alternative technologies considered Why we love Apache Kafka How Kafka has added flexibility to our pipeline 鐃種深 The Challenges of Log Management at Scale Big data >750 billion events logged to date Sustained bursts of 100,000+ events per second Data space measured in petabytes Need for high fault tolerance Near real-time indexing requirements Time-series index management]]>
Agenda for this Presentation The challenges of Log Management at scale Overview of Logglys processing pipeline Alternative technologies considered Why we love Apache Kafka How Kafka has added flexibility to our pipeline 鐃種深 The Challenges of Log Management at Scale Big data >750 billion events logged to date Sustained bursts of 100,000+ events per second Data space measured in petabytes Need for high fault tolerance Near real-time indexing requirements Time-series index management]]> Tue, 09 Sep 2014 19:54:19 GMT /slideshow/loggly-kafkainfinitelyscalablemessaging/38897440 loggly@slideshare.net(loggly) Why @Loggly Loves Apache Kafka, and How We Use Its Unbreakable Messaging for Better Log Management loggly Agenda for this Presentation The challenges of Log Management at scale Overview of Logglys processing pipeline Alternative technologies considered Why we love Apache Kafka How Kafka has added flexibility to our pipeline 鐃種深 The Challenges of Log Management at Scale Big data >750 billion events logged to date Sustained bursts of 100,000+ events per second Data space measured in petabytes Need for high fault tolerance Near real-time indexing requirements Time-series index management <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-kafka-infinitely-scalable-messaging-140909195419-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Agenda for this Presentation The challenges of Log Management at scale Overview of Logglys processing pipeline Alternative technologies considered Why we love Apache Kafka How Kafka has added flexibility to our pipeline 鐃種深 The Challenges of Log Management at Scale Big data &gt;750 billion events logged to date Sustained bursts of 100,000+ events per second Data space measured in petabytes Need for high fault tolerance Near real-time indexing requirements Time-series index management
Why @Loggly Loves Apache Kafka, and How We Use Its Unbreakable Messaging for Better Log Management from SolarWinds Loggly
]]> 3481 4 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-kafka-infinitely-scalable-messaging-140909195419-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 6 Critical SaaS Engineering Mistakes to Avoid /slideshow/loggly-6saa-sengineeringmistakesv2aa/37692367 loggly-6-saas-engineering-mistakesv2aa-140805134824-phpapp01
My most important lesson from working on 7+ cloud-based products: Failing to prepare for failure is costly... but failing to prepare for success can be even worse. Learn from my experience - read this deck to learn the top 6 SaaS mistakes you should avoid.]]>
My most important lesson from working on 7+ cloud-based products: Failing to prepare for failure is costly... but failing to prepare for success can be even worse. Learn from my experience - read this deck to learn the top 6 SaaS mistakes you should avoid.]]> Tue, 05 Aug 2014 13:48:24 GMT /slideshow/loggly-6saa-sengineeringmistakesv2aa/37692367 loggly@slideshare.net(loggly) 6 Critical SaaS Engineering Mistakes to Avoid loggly My most important lesson from working on 7+ cloud-based products: Failing to prepare for failure is costly... but failing to prepare for success can be even worse. Learn from my experience - read this deck to learn the top 6 SaaS mistakes you should avoid. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggly-6-saas-engineering-mistakesv2aa-140805134824-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My most important lesson from working on 7+ cloud-based products: Failing to prepare for failure is costly... but failing to prepare for success can be even worse. Learn from my experience - read this deck to learn the top 6 SaaS mistakes you should avoid.
6 Critical SaaS Engineering Mistakes to Avoid from SolarWinds Loggly
]]> 2537 2 https://cdn.slidesharecdn.com/ss_thumbnails/loggly-6-saas-engineering-mistakesv2aa-140805134824-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 Rumble Entertainment GDC 2014: Maximizing Revenue Through Logging /slideshow/gdc14-talk-logglymar14/34447595 gdc14talkloggly-mar14-140508121135-phpapp01
How do you balance the dynamic needs of millions of concurrent users, support hundreds of developers, optimize a distributed cloud environment, push code releases daily, and stay sane? It starts with visibility into all your data and real-time insight from your log files. In this session at the 2014 Game Developers Conference, Albert Ho provided a step-by-step outline of how Rumble Entertainment maximizes revenue in online games by: Instrumenting its games and platform to facilitate global troubleshooting Gathering insight from log files to identify, quantify and solve operational issues Conducting transactional tracing starting from player feedback on open social networks to isolate the source, server and all users affected by the issue for remediation Baking Loggly into the DNA of its games to serve as a single source of truth and extended it to how we work with partners Correlating real-time visibility directly to revenue to speed decision making and planning ]]>
How do you balance the dynamic needs of millions of concurrent users, support hundreds of developers, optimize a distributed cloud environment, push code releases daily, and stay sane? It starts with visibility into all your data and real-time insight from your log files. In this session at the 2014 Game Developers Conference, Albert Ho provided a step-by-step outline of how Rumble Entertainment maximizes revenue in online games by: Instrumenting its games and platform to facilitate global troubleshooting Gathering insight from log files to identify, quantify and solve operational issues Conducting transactional tracing starting from player feedback on open social networks to isolate the source, server and all users affected by the issue for remediation Baking Loggly into the DNA of its games to serve as a single source of truth and extended it to how we work with partners Correlating real-time visibility directly to revenue to speed decision making and planning ]]> Thu, 08 May 2014 12:11:35 GMT /slideshow/gdc14-talk-logglymar14/34447595 loggly@slideshare.net(loggly) Rumble Entertainment GDC 2014: Maximizing Revenue Through Logging loggly How do you balance the dynamic needs of millions of concurrent users, support hundreds of developers, optimize a distributed cloud environment, push code releases daily, and stay sane? It starts with visibility into all your data and real-time insight from your log files. In this session at the 2014 Game Developers Conference, Albert Ho provided a step-by-step outline of how Rumble Entertainment maximizes revenue in online games by: Instrumenting its games and platform to facilitate global troubleshooting Gathering insight from log files to identify, quantify and solve operational issues Conducting transactional tracing starting from player feedback on open social networks to isolate the source, server and all users affected by the issue for remediation Baking Loggly into the DNA of its games to serve as a single source of truth and extended it to how we work with partners Correlating real-time visibility directly to revenue to speed decision making and planning <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gdc14talkloggly-mar14-140508121135-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How do you balance the dynamic needs of millions of concurrent users, support hundreds of developers, optimize a distributed cloud environment, push code releases daily, and stay sane? It starts with visibility into all your data and real-time insight from your log files. In this session at the 2014 Game Developers Conference, Albert Ho provided a step-by-step outline of how Rumble Entertainment maximizes revenue in online games by: Instrumenting its games and platform to facilitate global troubleshooting Gathering insight from log files to identify, quantify and solve operational issues Conducting transactional tracing starting from player feedback on open social networks to isolate the source, server and all users affected by the issue for remediation Baking Loggly into the DNA of its games to serve as a single source of truth and extended it to how we work with partners Correlating real-time visibility directly to revenue to speed decision making and planning
Rumble Entertainment GDC 2014: Maximizing Revenue Through Logging from SolarWinds Loggly
]]> 1574 3 https://cdn.slidesharecdn.com/ss_thumbnails/gdc14talkloggly-mar14-140508121135-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly /slideshow/aws-reinvent-28504650/28504650 aws-reinvent-loggly-session-finalslideshare-131121154337-phpapp01
April 2014 update to this presentation: Loggly removed Storm from its architecture. Details here: https://www.loggly.com/blog/what-we-learned-about-scaling-with-apache-storm/ This is a technical architect's case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. Given by Jim Nisbet and Philip O'Toole, this presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-based routing, multi-region VPCs, Elastic Load Balancing, Amazon Relational Database Service, and a number of pro-active and re-active approaches to scaling computational and indexing capacity. The talk includes lessons learned in our first generation release, validated by thousands of customers; speed bumps and the mistakes we made along the way; various data models and architectures previously considered; and success at scale: speeds, feeds, and an unmeltable log processing engine.]]>
April 2014 update to this presentation: Loggly removed Storm from its architecture. Details here: https://www.loggly.com/blog/what-we-learned-about-scaling-with-apache-storm/ This is a technical architect's case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. Given by Jim Nisbet and Philip O'Toole, this presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-based routing, multi-region VPCs, Elastic Load Balancing, Amazon Relational Database Service, and a number of pro-active and re-active approaches to scaling computational and indexing capacity. The talk includes lessons learned in our first generation release, validated by thousands of customers; speed bumps and the mistakes we made along the way; various data models and architectures previously considered; and success at scale: speeds, feeds, and an unmeltable log processing engine.]]> Thu, 21 Nov 2013 15:43:37 GMT /slideshow/aws-reinvent-28504650/28504650 loggly@slideshare.net(loggly) AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly loggly April 2014 update to this presentation: Loggly removed Storm from its architecture. Details here: https://www.loggly.com/blog/what-we-learned-about-scaling-with-apache-storm/ This is a technical architect's case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. Given by Jim Nisbet and Philip O'Toole, this presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-based routing, multi-region VPCs, Elastic Load Balancing, Amazon Relational Database Service, and a number of pro-active and re-active approaches to scaling computational and indexing capacity. The talk includes lessons learned in our first generation release, validated by thousands of customers; speed bumps and the mistakes we made along the way; various data models and architectures previously considered; and success at scale: speeds, feeds, and an unmeltable log processing engine. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aws-reinvent-loggly-session-finalslideshare-131121154337-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> April 2014 update to this presentation: Loggly removed Storm from its architecture. Details here: https://www.loggly.com/blog/what-we-learned-about-scaling-with-apache-storm/ This is a technical architect&#39;s case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. Given by Jim Nisbet and Philip O&#39;Toole, this presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-based routing, multi-region VPCs, Elastic Load Balancing, Amazon Relational Database Service, and a number of pro-active and re-active approaches to scaling computational and indexing capacity. The talk includes lessons learned in our first generation release, validated by thousands of customers; speed bumps and the mistakes we made along the way; various data models and architectures previously considered; and success at scale: speeds, feeds, and an unmeltable log processing engine.
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly from SolarWinds Loggly
]]> 1881 3 https://cdn.slidesharecdn.com/ss_thumbnails/aws-reinvent-loggly-session-finalslideshare-131121154337-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 1 https://cdn.slidesharecdn.com/profile-photo-loggly-48x48.jpg?cb=1544724667 Loggly is the world's most popular cloud-based log management solution, used by more than 10,000 happy customers to solve operational problems, quickly. www.loggly.com https://cdn.slidesharecdn.com/ss_thumbnails/loggly-toolsandtechniquesforloggingmicroservices-170728220452-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/loggly-tools-and-techniques-for-logging-microservices/78356184 Loggly - Tools and Tec... https://cdn.slidesharecdn.com/ss_thumbnails/loggly-5popular-170725174640-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/loggly-5-popular-net-logging-libraries/78243348 Loggly - 5 Popular .NE... https://cdn.slidesharecdn.com/ss_thumbnails/loggly-itopsinaserverlessworld-170706020337-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/loggly-it-operations-in-a-serverless-world-infographic/77558050 Loggly - IT Operations...