This document discusses deploying, scaling, and managing multiple instances of SugarCRM in the cloud. It introduces Makara, a cloud application platform that provides integrated management capabilities. Makara enables developers, operators, and partners to offer SugarCRM in a cloud that they manage and control. It addresses challenges like provisioning, deployment, configuration, and monitoring of applications running in the cloud at scale.
Sweet! Running SugarCRM on the Amazon Cloud | SugarCon 2011SugarCRM
Everybody is talking about the Cloud, how it offers infinite scalability and storage and makes it trivial to run hundreds of load balanced servers.
Those of us who are not Zynga or Netflix are generally concerned with more down-to-earth issues such as how to maintain up to date backups, keep an eye on monitoring and minimizing the costs of running our applications in the cloud. This presentation will walk attendees through the tools and services available from the Amazon Cloud and how they can be leveraged to host and manage SugarCRM in the Cloud. It will draw from our experience packaging BitNami stacks, which have been deployed millions of times and power the leading commercial open source companies, including SugarCRM.
Presented by Daniel Lopez, Founder and CTO, BitRock, at SugarCon 2011.
Case study of amazon EC2 by Akash BadoneAkash Badone
Introduction to Amazon EC2, Historical Trends, Elastic Map Reduce (EMR), Dynamo DB, RDS, S3, EBS, Iaas, Getting started with EC2 from scratch. Creating key pairs, Launching an instance and types of the instance.AWS services, virtualization and XEN hypervisor with cost (according to on-demand services).
AWS Summit 2014 Melbourne - Breakout 5
Organisations today are increasingly looking for faster and cost effective ways to develop and test products before deployment. Those managing this process must determine when a product is ready to be deployed to production. But before this decision is made, the entire testing and development process should be carefully planned, managed, and reviewed. Amazon Web Services' utility computing model provides a great backbone to achieve this goal. With AWS you can spin up infrastructure on an as-needed basis for development and testing. Run workloads for a certain amount of time, and then stop running them – and stop paying for them – when you don't.
Presenter: John Hildebrandt, Solutions Architect, Amazon Web Services
Microsoft Azure Service Management Vs Microsoft Azure Resource ManagerIdo Katz
One of the biggest pain points today when using Azure is deciding on what kind of deployments method we are going to use. In this talk you will learn about the transition from Azure Service Management (also known as "Classic" and V1) to Azure Resource Manager (also known as ARM). We will discuss both IaaS deployment methods and will give you a better understanding about the differences, pros and cons. We are also going to cover the migration options that Azure offers today and what will be the right way to migrate.
Sweet! Running SugarCRM on the Amazon Cloud | SugarCon 2011SugarCRM
Everybody is talking about the Cloud, how it offers infinite scalability and storage and makes it trivial to run hundreds of load balanced servers.
Those of us who are not Zynga or Netflix are generally concerned with more down-to-earth issues such as how to maintain up to date backups, keep an eye on monitoring and minimizing the costs of running our applications in the cloud. This presentation will walk attendees through the tools and services available from the Amazon Cloud and how they can be leveraged to host and manage SugarCRM in the Cloud. It will draw from our experience packaging BitNami stacks, which have been deployed millions of times and power the leading commercial open source companies, including SugarCRM.
Presented by Daniel Lopez, Founder and CTO, BitRock, at SugarCon 2011.
Case study of amazon EC2 by Akash BadoneAkash Badone
Introduction to Amazon EC2, Historical Trends, Elastic Map Reduce (EMR), Dynamo DB, RDS, S3, EBS, Iaas, Getting started with EC2 from scratch. Creating key pairs, Launching an instance and types of the instance.AWS services, virtualization and XEN hypervisor with cost (according to on-demand services).
AWS Summit 2014 Melbourne - Breakout 5
Organisations today are increasingly looking for faster and cost effective ways to develop and test products before deployment. Those managing this process must determine when a product is ready to be deployed to production. But before this decision is made, the entire testing and development process should be carefully planned, managed, and reviewed. Amazon Web Services' utility computing model provides a great backbone to achieve this goal. With AWS you can spin up infrastructure on an as-needed basis for development and testing. Run workloads for a certain amount of time, and then stop running them – and stop paying for them – when you don't.
Presenter: John Hildebrandt, Solutions Architect, Amazon Web Services
Microsoft Azure Service Management Vs Microsoft Azure Resource ManagerIdo Katz
One of the biggest pain points today when using Azure is deciding on what kind of deployments method we are going to use. In this talk you will learn about the transition from Azure Service Management (also known as "Classic" and V1) to Azure Resource Manager (also known as ARM). We will discuss both IaaS deployment methods and will give you a better understanding about the differences, pros and cons. We are also going to cover the migration options that Azure offers today and what will be the right way to migrate.
The Elephant in the Cloud: Bring True Cloud Economics to Hadoop/BigInsightsNati Shalom
The Elephant in the Cloud: Bring True Cloud Economics to Hadoop/BigInsights
The massive computing and storage resources that are needed to support big data deployments in general and Hadoop in particular make cloud environments, public and private, an ideal fit.
Managing your big data app, however, is no walk in the park - especially if your considering the fact that these systems and application stacks often include other services beyond Hadoop such as: relational databases, other NoSQL databases and more, where each framework comes with its own management, installation, configuration, and scaling solutions. This is where Cloudify fits in. Cloudify provides consistent management that makes the provisioning, deployment, scaling of your Hadoop system simple and consistent with the rest of your stack and cloud portability between bare-metal and public cloud offering for Hadoop/BigInsights making it possible to run Hadoop on the right cloud for the Job: public/virtualized environment for on-demand workloads and bare-metal for I/O intensive operations.
1. Introduction
2. What is Serverless Architecture
3. Implementation Models of Serverless Architecture
4. Serverless Architecture Enabling Technologies
4.1. Containers
4.2. Container orchestration Platforms
5. Benefits of Serverless Architecture
6. Drawbacks of Serverless Architecture
7. Amazon Lambda
7.1. Asynchronous Model Example with AWS
7.2. Synchronous Model Example with AWS
8. Conclusion
https://notebookbft.wordpress.com/
The Microsoft Azure Traffic Manager provides global DNS load balancing methods of distributing internet traffic among two or more endpoints (for example: Virtual Machines or WebApps ) on a different cloud services that could be located on a different regions, all accessible with the same URL, in one or more Microsoft Azure datacenters around the world.
In this session I will explain about the different methods, I will show you how to configure the Traffic Manager and I will present a little demo.
At the end of this session you'll be able to provide better Performance, Redundancy and HA to your servers and/or web applications by using the Microsoft Azure Traffic Manager.
Should you keep your On-Premises NAS: Upgrade, Pay Maintenance or Public Cloud?Buurst
The maintenance bill is due for your on-premises SAN/NAS--or it just increased. It’s hundreds of thousands or millions of dollars just to keep your existing storage gear under maintenance. And you know you will need to purchase more storage capacity for this aged hardware. Do you renew and commit another 3-5 years by paying the storage bill and further commit to a data center architecture? Do you make a forklift upgrade and buy new SAN/NAS gear or move to hyperconverged infrastructure? Do you move to the AWS cloud for greater flexibility and agility? Will you give up security and data protection?
In this webinar and demo, we covered:
1. Pros/Cons: on-premises SAN/NAS vs. hyperconverged infrastructure vs. AWS cloud storage
2. Demo: “Lift and shift” on-premises storage to AWS without re-architecting applications
3. How to fund a move to public cloud storage with existing budget
4. TCO analysis
5. Other public cloud use cases
AWS "Game On" Event - How to ower the back-end in all platforms - 19 June13Amazon Web Services
This presentation details our experience of Gaming and AWS. It also looks at building a back-end for all platforms including the core, scaling it out, autoscaling, caching, analytics and massive scale.
Philip Fitzsimons, Solutions Architect - Gaming
Presentation on how developer roles change when meeting cloud infrastructure, and how a a "role driven"/template based VM deployment model helps this separation
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
SugarCRM is true cloud computing. As a SugarCRM customers you get to choose where you want to run Sugar. In Sugar On-Demand, in the public cloud, the cloud of one of our partners or in your own cloud, behind your firewall. With Sugar 6.3; we have added the IBM SmartCloud as one of four public cloud options.
These are the slides from my webinar on Oct 13, 2011.
From Mad Men to Moneyball: Research and Hands on Tools to Guide Your Marketin...SugarCRM
In this enablement session we review 2014 CMO research highlights and introduce a marketing maturity model that diagnoses where you are at, where you want to be, and how to get there.
The Elephant in the Cloud: Bring True Cloud Economics to Hadoop/BigInsightsNati Shalom
The Elephant in the Cloud: Bring True Cloud Economics to Hadoop/BigInsights
The massive computing and storage resources that are needed to support big data deployments in general and Hadoop in particular make cloud environments, public and private, an ideal fit.
Managing your big data app, however, is no walk in the park - especially if your considering the fact that these systems and application stacks often include other services beyond Hadoop such as: relational databases, other NoSQL databases and more, where each framework comes with its own management, installation, configuration, and scaling solutions. This is where Cloudify fits in. Cloudify provides consistent management that makes the provisioning, deployment, scaling of your Hadoop system simple and consistent with the rest of your stack and cloud portability between bare-metal and public cloud offering for Hadoop/BigInsights making it possible to run Hadoop on the right cloud for the Job: public/virtualized environment for on-demand workloads and bare-metal for I/O intensive operations.
1. Introduction
2. What is Serverless Architecture
3. Implementation Models of Serverless Architecture
4. Serverless Architecture Enabling Technologies
4.1. Containers
4.2. Container orchestration Platforms
5. Benefits of Serverless Architecture
6. Drawbacks of Serverless Architecture
7. Amazon Lambda
7.1. Asynchronous Model Example with AWS
7.2. Synchronous Model Example with AWS
8. Conclusion
https://notebookbft.wordpress.com/
The Microsoft Azure Traffic Manager provides global DNS load balancing methods of distributing internet traffic among two or more endpoints (for example: Virtual Machines or WebApps ) on a different cloud services that could be located on a different regions, all accessible with the same URL, in one or more Microsoft Azure datacenters around the world.
In this session I will explain about the different methods, I will show you how to configure the Traffic Manager and I will present a little demo.
At the end of this session you'll be able to provide better Performance, Redundancy and HA to your servers and/or web applications by using the Microsoft Azure Traffic Manager.
Should you keep your On-Premises NAS: Upgrade, Pay Maintenance or Public Cloud?Buurst
The maintenance bill is due for your on-premises SAN/NAS--or it just increased. It’s hundreds of thousands or millions of dollars just to keep your existing storage gear under maintenance. And you know you will need to purchase more storage capacity for this aged hardware. Do you renew and commit another 3-5 years by paying the storage bill and further commit to a data center architecture? Do you make a forklift upgrade and buy new SAN/NAS gear or move to hyperconverged infrastructure? Do you move to the AWS cloud for greater flexibility and agility? Will you give up security and data protection?
In this webinar and demo, we covered:
1. Pros/Cons: on-premises SAN/NAS vs. hyperconverged infrastructure vs. AWS cloud storage
2. Demo: “Lift and shift” on-premises storage to AWS without re-architecting applications
3. How to fund a move to public cloud storage with existing budget
4. TCO analysis
5. Other public cloud use cases
AWS "Game On" Event - How to ower the back-end in all platforms - 19 June13Amazon Web Services
This presentation details our experience of Gaming and AWS. It also looks at building a back-end for all platforms including the core, scaling it out, autoscaling, caching, analytics and massive scale.
Philip Fitzsimons, Solutions Architect - Gaming
Presentation on how developer roles change when meeting cloud infrastructure, and how a a "role driven"/template based VM deployment model helps this separation
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
SugarCRM is true cloud computing. As a SugarCRM customers you get to choose where you want to run Sugar. In Sugar On-Demand, in the public cloud, the cloud of one of our partners or in your own cloud, behind your firewall. With Sugar 6.3; we have added the IBM SmartCloud as one of four public cloud options.
These are the slides from my webinar on Oct 13, 2011.
From Mad Men to Moneyball: Research and Hands on Tools to Guide Your Marketin...SugarCRM
In this enablement session we review 2014 CMO research highlights and introduce a marketing maturity model that diagnoses where you are at, where you want to be, and how to get there.
Social media has become essential to today’s business - organizations of all sizes are engaging at higher rates. How do you monitor, manage, and report on these conversations? What can you do with all the data collected? And more importantly, how can you leverage social intelligence to influence and cross-inform multiple levels across the entire enterprise? Social media is no longer simply a marketing channel. Social is now a resource that intelligent organizations are leveraging to make strategic business decisions, inform product direction, build sales leads, enhance customer support, monitor brand health, and talent prospecting.
From Mad Men to Moneyball: How Leading Chief Marketing Officers are Different...SugarCRM
Data and technology have radically reshaped the marketing discipline from eyeballs to experiences. This shift has changed everything from how we engage customers across multiple channels, provide unique customer experiences in context, and even measure success. Join us as we examine 3 fundamental marketing shifts that have occurred in the last 24 months, learn how companies are leveraging these today as a competitive advantage, and ensure you and your clients are not marketing in 2014 like it is 2004.
Lessons Learned: Building IBM's Next Generation CRM ArchitectureSugarCRM
This session is a more in-depth look at the architecture that drives the IBM Social CRM solution and integrates SugarCRM with enterprise Master Data Management, Line of Business applications, legacy data sources, analytics and collaboration solutions to drive seller productivity. Focusing on seller experience and seamlessly integrating over a dozen applications, we were able to deliver a single instance global server to over 50,000 users . We will be discussing the technologies and patterns implemented to ensure business agility while meeting our enterprise architecture blueprint.
Top reasons customers choose SugarCRM over salesforceJan Sysmans
SugarCRM is one of the top alternatives to salesforce.com. This presentation goes over the 13 reasons why customers choose SugarCRM over salesforce.com. For more information on how SugarCRM is the best CRM solution for your business go to http://www.sugarcrm.com/crm/about/contact-us.html
Tools and Recipes to Replatform Monolithic Apps to Modern Cloud EnvironmentsVMware Tanzu
Digital transformation includes replatforming applications to streamline release cycles, improve availability, and manage apps and services at scale. But many enterprises are afraid to take the first step because they don’t know where to start. In this webinar, Rohit will provide a step-by-step guide that covers:
● How to find high-value modernization projects within your application portfolio
● Easy tools and techniques to minimally change applications in preparation for replatforming
● How to choose the platform with the right level of abstraction for your app
● Examples that show how Java EE Websphere applications can be deployed to Pivotal Cloud Foundry
Speaker: Rohit Kelapure, Pivotal Consulting Practice Lead
What's new in App Engine and intro to App Engine for BusinessChris Schalk
This is a presentation given by Devfest Madrid 2010 by Google Developer Advocate Chris Schalk on "What's new in Google App Engine and Intro to App Engine for Business"
Azure Cloud Application Development Workshop - UGIdotNETLorenzo Barbieri
Based on Global Black Belt Azure CAD Workshop, this material was used during ugidotnet.org CAD Lab in June 2017.
Azure VMs, AppService, Functions, Logic Apps and Service Fabric were demoed during the day.
Scaling Databricks to Run Data and ML Workloads on Millions of VMsMatei Zaharia
Keynote at Scale By The Bay 2020.
Cloud service developers need to handle massive scale workloads from thousands of customers with no downtime or regressions. In this talk, I’ll present our experience building a very large-scale cloud service at Databricks, which provides a data and ML platform service used by many of the largest enterprises in the world. Databricks manages millions of cloud VMs that process exabytes of data per day for interactive, streaming and batch production applications. This means that our control plane has to handle a wide range of workload patterns and cloud issues such as outages. We will describe how we built our control plane for Databricks using Scala services and open source infrastructure such as Kubernetes, Envoy, and Prometheus, and various design patterns and engineering processes that we learned along the way. In addition, I’ll describe how we have adapted data analytics systems themselves to improve reliability and manageability in the cloud, such as creating an ACID storage system that is as reliable as the underlying cloud object store (Delta Lake) and adding autoscaling and auto-shutdown features for Apache Spark.
Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011.
http://CloudComputing.IndicThreads.com
Abstract: Cloud computing is no longer a buzz term but a reality. With a great opportunity for huge financial savings and demand for Software-as-a-Service products, developing products for the cloud is something that cannot be ignored. In this talk, I would like to touch upon 3 key aspects of cloud engineering – scalability, security and flexibility and its impact on application architecture, data processing needs and deployment.
* By Manjusha Madabushi, Co-Founder and CTO of Talentica Software Pvt. Ltd.
Speaker: Manjusha is a Co-Founder and CTO of Talentica Software Pvt. Ltd. She has a Bachelor’s degree from IIT Mumbai and a Master’s degree from Northwestern University, Chicago. She has over 23 years experience working in the IT industry. She started her career working for Amoco Research Centre, USA till 1989 before returning to India and joining TCS. During her 9 year career at TCS, Manjusha worked in different technology areas such as Artificial Intelligence, Application Modeling, Compilers etc. She was also the Engineering head of the TCS’ product – E.X. NGN. Post TCS, she founded Nitman Software, which was acquired by a US based CRM company, eGain Communications in the year 2000. She co-founded Talentica Software, a company that helps technology companies transform their ideas into successful products in 2003. Talentica specializes in building highly scalable products using cutting edge technologies in the areas of Social Analytics, CRM, Natural Language processing and Advertising.
Docker & aPaaS: Enterprise Innovation and Trends for 2015WaveMaker, Inc.
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
Similar to Deploying, Scaling, and Managing Many Instances of SugarCRM in the Cloud (20)
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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/
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
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
3. Promise
Are you a Concerned about
▶ Developer ▶ The Cloud
▶ Operator ▶ Salesforce.com
▶ Partner ▶ Operational barriers
▶ VAR ▶ Dwindling margins
Makara enables you to offer the power and
flexibility of SugarCRM in a cloud that you
manage and control
3
14. How It Works: On-Boarding
Application Code Load Balancer Configuration
Application Code Application Server Web Server Dependencies
Application Server
Application Capsule
Makara Platform
Built-in Deployment, Performance, Log and Change Management
OS
Metal Compute Cloud
Compute Cloud
Traditional Agent-Based Makara’s Agent-less
Application Management Application Management
14