Deep Dive Into Elasticsearch: Establish A Powerful Log Analysis System With Elastic Stack | On Premises vs SaaS Elastic Stack Comparisons.

Monitor availability and performance of applications hosted in the Amazon cloud. Monitor your Amazon EC2 and RDS instances and gain insight into the performance of your cloud computing environment, troubleshoot and resolve problems before end users are affected. Forums: https://forums.site24x7.com/ Facebook: http://www.facebook.com/Site24x7 Twitter: http://twitter.com/site24x7 Google+: https://plus.google.com/+Site24x7 LinkedIn: https://www.linkedin.com/company/site24x7 View Blogs: http://blogs.site24x7.com/

These slides give an introduction to the features App Insights provide. Also, it will present some tips and tricks you might find useful.

The document outlines a capacity management model for SharePoint implementations and customizations including planning, building, operating, and maintaining a SharePoint farm. The plan phase includes capacity planning, analyzing impacts, and governance. The build phase covers implementing a proof of concept, using adequate hardware, and proper farm installation. The operate phase focuses on user management, regular monitoring, maintenance, and patch management. Customization is also addressed including development processes, solutions planning, and best practices.

Learning Objectives: - Securing network access to Amazon EC2 Instances with Security Groups - Launch and configure a Windows virtual machine - Bootstrapping using Powershell - Creating Key Pairs for authentication

Good monitoring can be the difference between a great night's sleep or hearing your phone go off at 2:37 a.m. because of a production outage. Couchbase Server provides a large number of metrics which can be overwhelming if you do not know the critical things to focus on or how to expose that information to your monitoring system. In this talk we will look at example production incidents, going in depth around specific things to monitor, and how this information can be used to find issues, work out root cause, and discover trends.

LinkedIn serves traffic for its 467 million members from four data centers and multiple PoPs spread geographically around the world. Serving live traffic from from many places at the same time has taken us from a disaster recovery model to a disaster avoidance model where we can take an unhealthy data center or PoP out of rotation and redistribute its traffic to a healthy one within minutes, with virtually no visible impact to users. The geographical distribution of our infrastructure also allows us to optimize the end-user's experience by geo routing users to the best possible PoP and datacenter. This talk provide details on how LinkedIn shifts traffic between its PoPs and data centers to provide the best possible performance and availability for its members. We will also touch on the complexities of performance in APAC, how IPv6 is helping our members and how LinkedIn stress tests data centers verify its disaster recovery capabilities.

In this webinar you’ll learn how to enable your organization with fast, self-service access to your VMware vSphere resources as well as public clouds such as AWS, Google and Azure. We’ll cover the following topics: 1. Create a Self-Service Portal for vSphere and Public Clouds Are virtualization and cloud the same thing? How does vSphere fit with cloud self-service? 2. Create and Manage Portable Workloads Can I move from vSphere to AWS? and back? Choosing between in-place management, migration and portability. 3. Provide Visibility and Control for Self-Service Ensure workloads meet corporate standards. Manage capacity and costs.

This document discusses different approaches for building real-time web functionality and introduces SignalR as a solution. It describes how earlier approaches like periodic pooling and long polling have disadvantages. Web sockets are ideal but have limitations in support across browsers, proxies, and web servers. SignalR abstracts these transports to provide a simple and robust library for adding real-time functionality to ASP.NET applications without these constraints. The document demonstrates SignalR and provides resources to learn more.

GAB 2017 presentation for Logic Apps and Azure Function, discussing the basic concepts of each technology and presenting a hands on scenario.

In this presentation we are going to learn following Alibaba Cloud Services/tools used to monitoring the Containerized application. -CAdvisor -Heapster/InflexDB -Grafana -Prometheus

This document discusses LinkedIn's use of Couchbase as an in-memory data store. It describes how LinkedIn has grown to rely heavily on Couchbase, now running it in production, staging, and corporate environments. It also outlines some of the key use cases Couchbase supports at LinkedIn, such as serving as a read-through cache, storing counters, and acting as a source of truth datastore for some internal tools. Finally, it discusses the operational tooling and processes LinkedIn has developed to support Couchbase at scale.

Organizations are seeking to drive agility by offering developers a self-service portal to access cloud resources. In order to provide push-button access to the cloud, IT DevOps teams need to orchestrate the deployment, configuration and integration of entire technology stacks or applications.

This document summarizes a presentation about mastering Azure Monitor. It introduces Azure Monitor and its components, including metrics, logs, dashboards, alerts, and workbooks. It provides a brief history of how Azure Monitor was developed. It also explains the different data sources that can be monitored like the Azure platform, Application Insights, and Log Analytics. The presentation encourages attendees to navigate the "maze" of Azure Monitor and provides resources to help learn more, including an upcoming virtual event and blog post series on monitoring.

This talk is about our experience at LinkedIn migrating our content ingestion system from using Oracle to using our internal database system Espresso. I explain some of the reasons for doing the migration as well as how we met the challenges of swapping database technologies with no down time and in a way that was transparent to our clients. This talk was delivered at the SATURN 2018 conference in Plano, TX on May 9, 2018.

This presentation discusses how to bring stateful behaviors to serverless architecture using Redis. It introduces the problem of enabling statefulness in serverless applications and proposes using Redis as a solution. Key considerations for the Redis-based architectural approach are discussed, including topology, high availability and scalability, and Redis configuration tuning. A demo is then presented to illustrate "Redis in Serverless" in action.

My master thesis presentation: "Avoiding CRUD operations lock-in in NoSQL databases: extension of the CPIM library"

LinkedIn created an auto-remediation system named Nurse which leverages SaltStack and the CherryPy API to auto-triage and remediate issues with production systems. See how LinkedIn uses SaltStack with Nurse in its production environment and learn how to architect your own auto-triage and remediation system.

Get a glimpse of the main features supported in Nuxeo Platform LTS 2015. With this LTS version of the Nuxeo Platform, we’re changing how we assign product version names and numbers. The name for each LTS version is now based on the release year. Nuxeo Platform LTS 2015 is the result of the four Fast Track releases throughout the past year. Highlights of Nuxeo Platform LTS 2015 include: - Nuxeo Live Connect: Native Integration with Google Drive & Dropbox - Content Analytics & Data Visualisation - Elasticsearch: API Passthrough, Hints for NXQL, Security - Massive Scalability with MongoDB Integration - New Document Viewer - Automation Scripting - Nuxeo Drive 2 - Automated Media Conversions

The document discusses lessons learned from embedding Cassandra in the xPatterns big data analytics platform. It provides an agenda that includes discussing Cassandra usage in xPatterns, the necessary developments like data modeling optimizations, robust REST APIs, geo-replication, and a demo of exporting to NoSQL APIs. Key lessons learned since Cassandra versions 0.6 to 2.0.6 are also summarized, such as the need for consistent clocks, reducing column families, and monitoring.

Apache Kafka is critical to PayPal's analytics platform. It handles a stream of over 20 billion events per day across 300 partitions. To democratize access to analytics data, PayPal built a Connect platform leveraging Kafka to process and send data in real-time to tools of customers' choice. The platform scales to process over 40 billion events daily using reactive architectures with Akka and Alpakka Kafka connectors to consume and publish events within Akka streams. Some challenges include throughput limited by partitions and issues requiring tuning for optimal performance.

A talk about various Open Source tools for availability and functional monitoring, time series and metrics as well log and event management.