This document discusses database monitoring and how Docker containers can be used. It covers requirements for DB monitoring like scheduling, script libraries, deployment, alerts, stability, and security. It then discusses specific aspects of scheduling, deployment to target servers, alerts and actions. Finally, it summarizes what Trans App Data Technologies offers for DB monitoring including using Docker containers to provide features like high availability, auto-restart of containers, small footprints and centralized script management.
In order to optimize server performance for whatsoever reason, you need to start by monitoring the server. In most cases, before server monitoring commences, it is common practice to establish baseline performance metrics for the specific server. Baseline performance metrics are established by measuring the performance of a particular server under various conditions, at different times of the day, week, and month, and when the hardware and software configuration changes. Based on the baseline metrics which you define for the server, you would need to optimize the server when performance of the server by far exceeds your baseline metrics.
In order to optimize server performance for whatsoever reason, you need to start by monitoring the server. In most cases, before server monitoring commences, it is common practice to establish baseline performance metrics for the specific server.
Web-Server Load Balancing, a process that distributes the load of various incoming requests to several servers (e.g. using a gateway that functions as a dispatcher), in an effort to balance the load among these servers in an optimal way. This thesis inspects the various methods and strategies of server load balancing, clearly identifying the advantages and disadvantages of each strategy. We present a working, high performance implementation of the content-aware traffic redirection strategy, using the most well known scheduling algorithms. We also present the results of testing the effectiveness of the implementation and the scheduling algorithms in several scenarios. Finally, based on our work, we concluded that what seem to be the best scheduling algorithms in the case of identical requests are the least CPU usage and the weighted random scheduling algorithms which have the best response time and the best throughput. While in the case of non-identical requests the weighted round robin and the least CPU usage have the least response time and the greatest throughput.
By: Abdul-Lateef Haji-Ali, Yael Jari,
Bashar Shehadeh, Mhd. Mamdouh Tarabishi
Wael Tayara
Supervised by: Dr. Ghassan Saba
Training Webinar: Enterprise application performance with distributed cachingOutSystems
2nd Session - Distributed Caching:
- What is Distributed Caching
- Performance hurdles solved by Distributed Caching
- When to use Distributed Caching
- Patterns to Populate a Distributed Cache
- How to use Distributed Caching in OutSystems
Free Online training: https://www.outsystems.com/learn/courses/
Follow us on Twitter http://www.twitter.com/OutSystemsDev
Like us on Facebook http://www.Facebook.com/OutSystemsDev
OSMC 2014: Interesting use cases of Zabbix improvements in latest versions | ...NETWAYS
Zabbix is used all over the world - in standard IT infrastructure monitoring and also in some not so common environments.
In this talk we will look at some common uses of Zabbix, as well as at some slightly strange environments. A brief update on the latest improvements for Zabbix will be provided as well.
This presentation is about ,
Load Balance JMS Messages,
Load Balance JDBC Data Sources,
How WebLogic Server Detects Failures,
Manage HTTP Session States,
Understanding WLS Clustering
The Architecture of Cluster and Cluster configuration and planning,
WLS Communications in a Cluster,
Cluster configuration,
for more details visit -
http://vibranttechnologies.co.in/weblogic-classes-in-mumbai.html
Trabalhar com milhares de requisições e mensagens por dia já é um desafio para arquitetura, imagina parte do software ter requisitos de alta disponibilidade e alta velocidade. Nesta palestra irei falar em padrões de projeto para confiabilidade e escalabilidade que irão garantir que o seu software escale e garanta a consistência ao seu usuário. Entre esses padrões, há arquitetura de caches, uso de APIs e integrações e padrões de como encapsular a sua plataforma para que se proteja de falhas e sobrecargas.
Expect the unexpected: Prepare for failures in microservicesBhakti Mehta
My talk at Confoo 2016 Montreal
It is well said that "The more you sweat on the field, the less you bleed in war". Failures are an inevitable part of complex systems. Accepting that failures happen, will help you design the system's reactions to specific failures.
This talks on best practices for building resilient, stable and predictable services:
preventing Cascading failures, Timeouts pattern, Retry pattern,Circuit breakers
and many more techniques in microservices
Talk is hosted via https://www.jonthebeach.com/schedule/1683849600#85
How to efficiently build and manage hundreds of Kubernetes Clusters that serve modern online analytics databases, for different customers? To add to the challenge, what if customers need to run their own clusters inside their own private clouds? We are sharing our system design that solves it.
How to provide fully managed online analytics databases like Pinot to hundreds of customers, while those Pinot clusters are running in each customer’s own private virtual cloud? The answer is by combining the power of Kubernetes with our automated scalable architecture that can fully manage a fleet of Kubernetes clusters.
When companies consider using SaaS (Software as a Service) products, they are often held back by challenges like security considerations and storage compliance regulations. Those concerns often require that the data stays within the same virtual cloud owned by the company. And it makes managed solutions very hard for companies to implement.
In StarTree we have built a modern data infrastructure based on Kubernetes so companies can keep their data inside their own infrastructure, and at the same time get the benefits of using a fully managed Apache Pinot cluster deployed in the customer’s cloud environment.
We have designed a scalable system based on Kubernetes that enables remote creation, maintenance, and monitoring of hundreds of Kubernetes clusters from different companies. This enabled us to scale quickly from a handful of deployments to over 100+ Pinot clusters in a short time span with just 10+ engineers.
In order to optimize server performance for whatsoever reason, you need to start by monitoring the server. In most cases, before server monitoring commences, it is common practice to establish baseline performance metrics for the specific server. Baseline performance metrics are established by measuring the performance of a particular server under various conditions, at different times of the day, week, and month, and when the hardware and software configuration changes. Based on the baseline metrics which you define for the server, you would need to optimize the server when performance of the server by far exceeds your baseline metrics.
In order to optimize server performance for whatsoever reason, you need to start by monitoring the server. In most cases, before server monitoring commences, it is common practice to establish baseline performance metrics for the specific server.
Web-Server Load Balancing, a process that distributes the load of various incoming requests to several servers (e.g. using a gateway that functions as a dispatcher), in an effort to balance the load among these servers in an optimal way. This thesis inspects the various methods and strategies of server load balancing, clearly identifying the advantages and disadvantages of each strategy. We present a working, high performance implementation of the content-aware traffic redirection strategy, using the most well known scheduling algorithms. We also present the results of testing the effectiveness of the implementation and the scheduling algorithms in several scenarios. Finally, based on our work, we concluded that what seem to be the best scheduling algorithms in the case of identical requests are the least CPU usage and the weighted random scheduling algorithms which have the best response time and the best throughput. While in the case of non-identical requests the weighted round robin and the least CPU usage have the least response time and the greatest throughput.
By: Abdul-Lateef Haji-Ali, Yael Jari,
Bashar Shehadeh, Mhd. Mamdouh Tarabishi
Wael Tayara
Supervised by: Dr. Ghassan Saba
Training Webinar: Enterprise application performance with distributed cachingOutSystems
2nd Session - Distributed Caching:
- What is Distributed Caching
- Performance hurdles solved by Distributed Caching
- When to use Distributed Caching
- Patterns to Populate a Distributed Cache
- How to use Distributed Caching in OutSystems
Free Online training: https://www.outsystems.com/learn/courses/
Follow us on Twitter http://www.twitter.com/OutSystemsDev
Like us on Facebook http://www.Facebook.com/OutSystemsDev
OSMC 2014: Interesting use cases of Zabbix improvements in latest versions | ...NETWAYS
Zabbix is used all over the world - in standard IT infrastructure monitoring and also in some not so common environments.
In this talk we will look at some common uses of Zabbix, as well as at some slightly strange environments. A brief update on the latest improvements for Zabbix will be provided as well.
This presentation is about ,
Load Balance JMS Messages,
Load Balance JDBC Data Sources,
How WebLogic Server Detects Failures,
Manage HTTP Session States,
Understanding WLS Clustering
The Architecture of Cluster and Cluster configuration and planning,
WLS Communications in a Cluster,
Cluster configuration,
for more details visit -
http://vibranttechnologies.co.in/weblogic-classes-in-mumbai.html
Trabalhar com milhares de requisições e mensagens por dia já é um desafio para arquitetura, imagina parte do software ter requisitos de alta disponibilidade e alta velocidade. Nesta palestra irei falar em padrões de projeto para confiabilidade e escalabilidade que irão garantir que o seu software escale e garanta a consistência ao seu usuário. Entre esses padrões, há arquitetura de caches, uso de APIs e integrações e padrões de como encapsular a sua plataforma para que se proteja de falhas e sobrecargas.
Expect the unexpected: Prepare for failures in microservicesBhakti Mehta
My talk at Confoo 2016 Montreal
It is well said that "The more you sweat on the field, the less you bleed in war". Failures are an inevitable part of complex systems. Accepting that failures happen, will help you design the system's reactions to specific failures.
This talks on best practices for building resilient, stable and predictable services:
preventing Cascading failures, Timeouts pattern, Retry pattern,Circuit breakers
and many more techniques in microservices
Talk is hosted via https://www.jonthebeach.com/schedule/1683849600#85
How to efficiently build and manage hundreds of Kubernetes Clusters that serve modern online analytics databases, for different customers? To add to the challenge, what if customers need to run their own clusters inside their own private clouds? We are sharing our system design that solves it.
How to provide fully managed online analytics databases like Pinot to hundreds of customers, while those Pinot clusters are running in each customer’s own private virtual cloud? The answer is by combining the power of Kubernetes with our automated scalable architecture that can fully manage a fleet of Kubernetes clusters.
When companies consider using SaaS (Software as a Service) products, they are often held back by challenges like security considerations and storage compliance regulations. Those concerns often require that the data stays within the same virtual cloud owned by the company. And it makes managed solutions very hard for companies to implement.
In StarTree we have built a modern data infrastructure based on Kubernetes so companies can keep their data inside their own infrastructure, and at the same time get the benefits of using a fully managed Apache Pinot cluster deployed in the customer’s cloud environment.
We have designed a scalable system based on Kubernetes that enables remote creation, maintenance, and monitoring of hundreds of Kubernetes clusters from different companies. This enabled us to scale quickly from a handful of deployments to over 100+ Pinot clusters in a short time span with just 10+ engineers.
DockerCon SF 2015: Beyond CI to Production Scale PaaS with DockerDocker, Inc.
Talk Description:
What a difference a year makes. Last year Paypal presented on scaling a CI infrastructure with Docker, Mesos and Jenkins. Over the past year we worked on integrating Docker to the core of our PaaS ecosystem. We are Dockerizing the entire PayPal application ecosystem consisting of polyglot Java, Node.js, Scala, C++ and Python frameworks. In this journey we have introduced HA Docker Registry with ElasticSearch search plugin using both OpenStack Swift and Cinder storage, cross-data center ATS server smart image caching along with a developer-friendly boot2docker fig/compose workflow for Kraken (open source nodeJS) stack. This we believe has the potential to become one of the largest financial services production deployment of Docker.
[WSO2Con USA 2018] Architecting for Container-native EnvironmentsWSO2
This slide deck explores architectural choices for making applications and integration services first class citizens in a container native environment.
Watch video: https://wso2.com/library/conference/2018/07/wso2con-usa-2018-architecting-for-container-native-environments/
Windows Server 2016 on pilve-valmis operatsioonisüsteem, mis toetab ettevõtte praegusi töövooge, samal ajal tutvustades uusi tehnoloogiaid, mis teevad pilve ülemineku sujuvaks, kui aeg õige. Millised on põhilised uuendused ja kuidas need ettevõtteid aitavad - nendele küsimustele leiate vastused esitlusest.
Dev ops for big data cluster management toolsRan Silberman
What are the tools that we can find to day to manage Hadoop cluster and its ecosystem?
There are two tools ready today:
Cloudera Manager and Ambari from Hortonworks.
In this presentation I explain what they do and why to use them, as well as Pros. and Cons.
A brief intro to microservice patters and strategies.
This is a presentation from the series "by Developer for Developers" powered by eSolutions Grup.
You can find the practical example at https://github.com/eSolutionsGrup/microshop
Monitoring in Motion: Monitoring Containers and Amazon ECSAmazon Web Services
Containers and other forms of dynamic infrastructure can prove challenging to monitor. How do you define normal, when your infrastructure is intentionally in motion and change from minute to minute? Join us as we discuss proven strategies for monitoring your containerized infrastructure on AWS and ECS.
Everything as Code principles and processes we used at Hepsiburada from Workstation Provisioning to Infrastructure. Learnings from our production experience
Agenda:
- Infrastructure As Code
- Workstation Provisioning
- Pipelines as Code
- Observability As Code
- ADRs
- Test Driven Everything
Upgrade Without the Headache: Best Practices for Upgrading Hadoop in ProductionCloudera, Inc.
Walk through some of the best practices to keep in mind when it comes to upgrading your cluster, and learn how to leverage new Upgrade Wizard features in Cloudera Enterprise 5.3.
For most mission critical workloads, downtime is never an option. Any downtime can have a direct impact on revenue and lead to frantic calls in the middle of the night. For this reason, upgrading the software that powers these workloads can often be a daunting task. It can cause unpredictable issues without access to support. That’s why an enterprise-grade administration tool is crucial for running Hadoop in production. Hadoop consists of dozens of components, running across multiple machines, all with their own configurations. That can lead to a lot of complexity and uncertainty - especially when taking the upgrade plunge.
Cloudera Manager makes it easy and is the only production-ready administration tool for Hadoop. Not only does Cloudera Manager feature zero-downtime rolling upgrades, but it also has a built in Upgrade Wizard to make upgrades simple and predictable.
Docker provides PODA (Package Once Deploy Anywhere) and complements WORA (Write Once Run Anywhere) provided by Java. It also helps you reduce the impedance mismatch between dev, test, and production environment and simplifies Java application deployment.
This session will explain how to:
* Run your first Java application with Docker
* Package your Java application with Docker
* Share your Java application using Docker Hub
* Deploy your Java application using Maven
* Deploy your application using Docker for AWS
* Scale Java services with Docker Engine swarm mode
* Package your multi-container application and use service discovery
* Monitor your Docker + Java applications
* Build a deployment pipeline using common tools
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Using Dockers for DB Monitoring
1. DB Monitoring & Docker Containers
Prasad Vemuri
Trans App Data Technologies Pvt. Ltd
Hyderabad Telangana India
2. DB Monitoring: Requirements
➢ Scheduling
➢ Script Library
➢ Deployment to Target Servers & Central Monitoring Console
➢ Timely Alerts/ Notification & Corrective Actions
➢ Stability and Availability
➢ Integration with Ticketing System
➢ Security
3. DB Monitoring: Scheduling
➢ Monitoring Tools Licensed / Open Source
➢ Pros
➢ Centralized and Console based GUI Interfaces
➢ Cons
➢ Configuration and Maintenance challenges
➢ Crontab Scheduling
➢ Pros
➢ No additional Cost
➢ Cons
➢ Failures by and Large go Unnoticed
➢ Deployment of New scripts and Corrections: Cumbersome
4. DB Monitoring: Deployment to Target Servers
and Central Console
➢ Deployment to Target Server
➢ Pros
➢ Granular Control
➢ Cons
➢ Maintenance
➢ Centralized Console
➢ Pros
➢ Offers Ease in Scripts Management
➢ Shell Based Monitoring or Language Independent
➢ Version Dependencies Management
➢ Ease of Operation
5. DB Monitoring: Alerts / Notification and
Actions
➢ Alerts
➢ Threshold Based alerts
➢ Notification
➢ Java based Mailers Platform Independent
➢ Actions
➢ Automated Corrective Actions available.
6. DB Monitoring:
Stability and Availability
➢ Target Deployment
➢ Point of Failure
➢ Host Dependencies
➢ Central Console
➢ Point of Failure
➢ Agent requirement on Targets
➢ Costs Involved for Maintaining High Availability
7. DB Monitoring : What TAD Offers
➢ Scheduling
➢ Cron based Central Console Monitoring
➢ Script Library
➢ Large Scripts Library
➢ Flexibility to Integration / Adapt Home grown Scripts
➢ Extensible
➢ Deployment to Target Servers & Central Monitoring Console
➢ Docker Container based Central Console Deployment with Minimal deployment time for complete Environment/
Landscape.
➢ Granular Control
➢ Timely Alerts/ Notification & Corrective Actions
➢ Alerting / Event Based Notification and Segregation.
➢ Stability and Availability
➢ Using Docker Features of Auto restart of Containers and HA and Load balancing.
➢ Integration with Ticketing System
➢ Available.
➢ Security
➢ Wallet Based DB user Authentication with restricted privileges.
8. DB Monitoring : TAD offerings & Docker
Containers
➢ Leverages features of Dockers
➢ High Availability and Auto-Restart containers
➢ Requires Small Foot prints
➢ Oracle Insta-client
➢ Deployment of the required Image.
➢ Scripts / Updates maintained in Volumes
➢ Cron features
➢ Docker Swarm Features
