Caching In The Cloud

•

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5 minute talk from the St. Louis Cloud Camp about using Terracotta in the cloud for caching and more.

Caching in the Cloud
Alex Miller
Terracotta

Twitter: @puredanger
Blog: http://tech.puredanger.com

Clouds

• Blah blah blah scalability blah blah blah
elasticity blah blah blah efﬁciency blah blah
blah

Database Pain
• Scale in cloud
• Born in enterprise -> doesn’t work at web scale
• Expensive (RAC) or complicated (MySQL
sharding)
• Elasticity in cloud
• Harder to migrate disk than to migrate
processes
• Single coordination point constrains ﬂexibility

Ideal Cloud Data Layer
• Protects “in-ﬂight” data - durability
• Has low latency, high throughput
• Deploys elastically w/app tier
• Doesn’t require app changes

NoSQL

• Key-value stores
• Document databases
• And many other ﬂavors...

Terracotta

• Open-source Java clustering technology
• Clustered - dynamically add/remove nodes
• High availability - server-based w/failover
• Data is redundant, copied to disk for backup
• In-memory speed

Don’t Change Your App!

• Hibernate Second Level Cache - ORM
• Ehcache - data caching
• Quartz - scheduling and job recovery
• HTTP Sessions - session availability
• Spring - app wiring and state

Database Ofﬂoad

• Scale your app (use the cloud)
• Scale your data (use Terracotta)
• Don’t scale your db (use for historical)

Hotel company
• Business
• Room reservation + loyalty points
• Multiple mainframe apps
• Estimate: $12M, 5 years -> Oracle RAC
• Instead:
• Private cloud
• VMWare, Spring, Terracotta
• Saving $11M / year on DB and App Server licenses

Deployment Approach

Travel Reservation
System
• Problem
• Mainframe costs >$5M / year in EDS fees
• Retain high reliability in lower cost env
• Solution
• Private data cloud - Terracotta + Ehcache
• Saved $5M / year
• 99.99% reliability

Gnip
• Web feeds, message transformation, delivery
• Twitter, Delicious, Flickr, etc
• Problem: large quantities of transient data
• Solution:
• 12 nodes on EC2
• Terracotta for data storage
• 50k TPS

Scalability Continuum

• Write your app once using standard open
source technologies
• Same app works on your machine, in your
test env, in the cloud
• Change where and how you deploy, not
your app

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How the Development Bank of Singapore solves on-prem compute capacity challen...

While the cloud offers many benefits, moving TBs and PBs of data to the cloud can be challenging. Traditional software transfer technologies are slow and unreliable, and shipping physical storage disks is time consuming and exposes data to unnecessary security risks. IBM Aspera offers high-speed data transfer that uses the public internet to securely and reliably migrate large amounts of data from your existing environment to AWS. Learn how IBM Aspera on Cloud can dramatically reduce migration windows, help lower the costs of migration, and eliminate the risks associated with physical disk shipment. This presentation is brought to you by AWS partner, IBM.

IBM Aspera for high-speed data migration to your AWS Cloud - DEM02-S - New Yo...

IBM Aspera for high-speed data migration to your AWS Cloud - DEM02-S - New Yo...

IBM Aspera for high-speed data migration to your AWS Cloud - DEM02-S - New Yo...

Amazon Web Services

How to you manage Performance in the Cloud, in particular in "Platform as a Service (PaaS) environments like Window's Azure or Heroku where you don't have a "virtual machine" to manage? Even in "Infrastructure as a Service (IaaS)" environments like Amazon EC2 there are limitations on the tools you can deploy into that environment to assist in performance management, troubleshooting etc (e.g. you can't deploy promiscuous mode network sniffing tools in EC2). James Smith from Adactus will give us an overview of Cloud Services as a whole, and then drill down into some of the issues they have experienced in deployed their "Pulse" Claims Management Solution into the Azure cloud (http://www.pulseclaims.com/home). Beyond just looking at page speed performance he'll talk about the challenges involved in managing SLA's, Cloud "support" (or lack of it!), performance troubleshooting and the whole "performance lifecycle".

Managing Performance in the Cloud

Managing Performance in the Cloud

Managing Performance in the Cloud

Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, delivering new desirable product offers to customers at the right time, and combating insider threats to your business. But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. Cloudera SDX delivers a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure. 3 things to learn: * Why multi-function applications are difficult to build and secure * How shared catalog, governance, management, and security applied consistently everywhere can deliver a “shared data experience” * How enterprise customers are building new, high-value applications with SDX

How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform

How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform

How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform

Slide presentation from Webinar on February 17, 2016. People in analytical roles are demanding more and more compute and storage to get their jobs done. Instead of building out infrastructure for a few employees or a department, systems engineers and IT managers can find value in creating a compute stack in the cloud to meet the fluctuating demand of their clients. In this 45-minute webinar, you’ll learn: - How to identify the right analytical workloads - How to create a scalable compute environment using the cloud for analysts in under 10 minutes - How to best manage costs associated with the cloud compute stack - How to create dedicated client stacks with their own scratch space as well as general access to reference data Health systems departments, research & development departments, and business analyst groups all face silos of these challenging, compute-intensive use cases. By learning how to quickly build this flexible workflow that can be scaled up and down (or off) instantly, you can support business objectives while efficiently managing costs.

Building a Just-in-Time Application Stack for Analysts

Building a Just-in-Time Application Stack for Analysts

Building a Just-in-Time Application Stack for Analysts

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AWS Summit 2013 | Auckland - Building Web Scale Applications with AWS

AWS Summit 2013 | Auckland - Building Web Scale Applications with AWS

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Scaing databases on the cloud

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Innovation in the Data Warehouse - StampedeCon 2016

Innovation in the Data Warehouse - StampedeCon 2016

Innovation in the Data Warehouse - StampedeCon 2016

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Enabling big data & AI workloads on the object store at DBS

Enabling big data & AI workloads on the object store at DBS

Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind

Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind

Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind

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How To Build A Stable And Robust Base For a “Cloud”

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Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...

Data Lake and the rise of the microservices

Data Lake and the rise of the microservices

Data Lake and the rise of the microservices

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Slides: Accelerating Queries on Cloud Data Lakes

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IBM Aspera for high-speed data migration to your AWS Cloud - DEM02-S - New Yo...

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How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

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The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

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Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Principled Technologies

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!

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Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

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Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

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Why Teams call analytics are critical to your entire business

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Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

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Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

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Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

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HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

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Data Cloud, More than a CDP by Matt Robison

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Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

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Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

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Boost PC performance: How more available memory can improve productivity

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Caching In The Cloud

1. Caching in the Cloud Alex Miller Terracotta Twitter: @puredanger Blog: http://tech.puredanger.com

2. Clouds • Blah blah blah scalability blah blah blah elasticity blah blah blah efﬁciency blah blah blah

3. Database Pain • Scale in cloud • Born in enterprise -> doesn’t work at web scale • Expensive (RAC) or complicated (MySQL sharding) • Elasticity in cloud • Harder to migrate disk than to migrate processes • Single coordination point constrains ﬂexibility

4. Ideal Cloud Data Layer • Protects “in-ﬂight” data - durability • Has low latency, high throughput • Deploys elastically w/app tier • Doesn’t require app changes

5. NoSQL • Key-value stores • Document databases • And many other ﬂavors...

6. Terracotta • Open-source Java clustering technology • Clustered - dynamically add/remove nodes • High availability - server-based w/failover • Data is redundant, copied to disk for backup • In-memory speed

7. Don’t Change Your App! • Hibernate Second Level Cache - ORM • Ehcache - data caching • Quartz - scheduling and job recovery • HTTP Sessions - session availability • Spring - app wiring and state

8. Database Ofﬂoad • Scale your app (use the cloud) • Scale your data (use Terracotta) • Don’t scale your db (use for historical)

9. Hotel company • Business • Room reservation + loyalty points • Multiple mainframe apps • Estimate: $12M, 5 years -> Oracle RAC • Instead: • Private cloud • VMWare, Spring, Terracotta • Saving $11M / year on DB and App Server licenses

10. Deployment Approach

11. Travel Reservation System • Problem • Mainframe costs >$5M / year in EDS fees • Retain high reliability in lower cost env • Solution • Private data cloud - Terracotta + Ehcache • Saved $5M / year • 99.99% reliability

12. Gnip • Web feeds, message transformation, delivery • Twitter, Delicious, Flickr, etc • Problem: large quantities of transient data • Solution: • 12 nodes on EC2 • Terracotta for data storage • 50k TPS

13. Scalability Continuum • Write your app once using standard open source technologies • Same app works on your machine, in your test env, in the cloud • Change where and how you deploy, not your app