Efficiency and Cost Optimization: Rightsizing Cloud Resources with Datadog

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Learn how to use Cloudability’s new integration with Datadog APM to balance performance and cost optimization.

Daten & Analysen

Presentation Sub-title
Presenter Name
07.10.2018
Presentation TitleEﬃciency & Cost Optimization
Rightsizing Cloud Resources with Datadog
Matthew Finlayson - VP of Engineering @ Cloudability
February 6, 2019

Who is Cloudability?
Largest
independent
provider
Nearly 8 years of
best practices
and cohort data
Best-of-breed
platform serving
over $9B in cloud
spend
Manage the top
1% of largest
global cloud
spenders

How Cloudability Works

Inform
Visibility &
Allocation
Optimize
Utilization
Operate
Continuous improvement
& operations
Culture
Cloudability is THE platform for FinOps
Transparency 
Anomaly Detection
Charge/Showback 
Budget & forecast 
Container Allocations
Reserved Instances
Rightsizing
Automation
Workload Placement
Governance
Unit Economics
Speed of delivery
Value to the business

DevOps + Cloud
Procurement has outsourced their job to engineers. Engineers now spend company money at will and make financial commitments
to cloud providers.
has broken traditional procurement

Have you ever taken a test guess at sizing requirements?

Opportunity cost: Death by 1,000 paper cuts
1000 - $7.00
Opportunities
7 - $1,000.00
Opportunities

Understand the historic pattern of the workload

Leverage Datadog metrics for Rightsizing Recommendations

You could use CloudWatch, but…
- Measurements natively come from the hypervisor not the guest
- Need a terrible agent or custom memory metrics
- Granularity of collection can vary
- Unable to backfill utilization metrics unlike Datadog
- Doesn’t work across cloud vendors

Rightsizing done right

How do I Rightsize?
- Based on 10 or 30 Days
- Historical model of instance types
- Balance Risk vs. Savings
- Filter by your requirements
- Based on use, not averages
- Export of all recommendation data
- Full API support

And there is also clipping…

How do I Rightsize?
- Based on 10 or 30 Days
- Historical model of instance types
- Balance Risk vs. Savings
- Filter by your requirements
- Based on use, not averages
- Export of all recommendation data
- Full API support

Next steps

Thank you!

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As AWS usage grows across your company, accurate cost allocation becomes more critical … and more challenging. AWS provides two powerful tools for segmenting and allocating your AWS costs: tags, and linked accounts. But getting the most out of them requires planning, consistency and buy-in from your team. In this webinar, we’ll show you the strategies and tools used by some of the largest AWS users in the world to segment, report and control their AWS costs across multiple applications, departments, environments and teams. Topics include: - Getting the most out of AWS tags and linked accounts - Identifying and eliminating untagged resources - Customizing and automating cost allocation reports

AWS Cost Allocation Using Tags And Linked Accounts

AWS Cost Allocation Using Tags And Linked Accounts

AWS Cost Allocation Using Tags And Linked Accounts

The new AWS Reserved Instance types have fundamentally changed the way companies are managing their RI portfolios. New payment options and increased levels of commitment require a more iterative cycle of RI purchases and modifications to ensure that you're spending the right amount now and saving the right amount throughout the life of your RIs. Join our VP of Product Development, Toban Zolman, as he walks through the tools and strategies you'll need to maximize you RI savings and measure the impact these new RI types have on your company's bottom line. Topics will include: - The new mechanics of RIs, including the new Upfront, Partial Upfront, and No Upfront types - Finding the balance between savings and cashflow - Reducing needless on-demand spending using Reserved Instances

The *New* Science Of Choosing AWS Reserved Instances

The *New* Science Of Choosing AWS Reserved Instances

The *New* Science Of Choosing AWS Reserved Instances

Finding and eliminating unnecessary EC2 usage can drastically reduce your AWS costs. But it's not always clear where to start looking. Join us for this free webinar and learn how to identify opportunities for cutting costs and how to unlock those savings in a step-by-step process. Topics will include: - Where to look for likely waste in your infrastructure - Identifying and downsizing underutilized instances - Reducing needless on-demand spending using Reserved Instances

Finding hidden waste in your AWS infrastructure - 2/11/16

Finding hidden waste in your AWS infrastructure - 2/11/16

Finding hidden waste in your AWS infrastructure - 2/11/16

As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility. In this webinar we explored how you can use the new Cloudability enterprise toolset for controlling and optimizing AWS spending across multiple teams. Topics include: - An introduction to the new Cloudability enterprise toolset, including report scheduling, custom dashboarding, and more - Maintaining cost oversight while giving autonomy to individual teams - Allocating costs across dozens or hundreds of accounts or applications - Creating accountability around spending

Creating a culture of cost management

Creating a culture of cost management

Creating a culture of cost management

Buying AWS Reserved Instances is just the beginning. You need a strategy that will help adjust your reservation portfolio to keep in-line with changes in your AWS usage. In this session, we'll show you an iterative approach to buying and modifying Reserved Instances that stay aligned with your evolving infrastructure needs over time. Topics include: Speeding up your reservation buying process Leveraging small, frequent purchases and modifications Building a Reserved-Instance-friendly architecture

Strategies For Lasting Savings With AWS Reserved Instances

Strategies For Lasting Savings With AWS Reserved Instances

Strategies For Lasting Savings With AWS Reserved Instances

Choosing the right Reserved Instances isn’t an art, it’s a science. Perfecting that science could save you up to 65% on your AWS bill. In this presentation, you’ll learn the math and science used by thousands of AWS users to optimize their Reserved Instance portfolios. Topics include: - Identifying the right Reserved Instances for your company's usage - Avoiding common Reserved Instance pitfalls - Maintaining long-term savings as your usage changes

Science Of Saving With AWS Reserved Instances - 9/11/14

Science Of Saving With AWS Reserved Instances - 9/11/14

Science Of Saving With AWS Reserved Instances - 9/11/14

AWS Reserved Instances: Turn your recommendations into purchases

AWS Reserved Instances: Turn your recommendations into purchases

AWS Reserved Instances: Turn your recommendations into purchases

AWS Reserved Instance modifications allow you to change the type, size and availability zone of your existing reservations to keep up with changes in your infrastructure. Join us as we walk through the kinds of modifications available and how they work. Then see how Cloudability's Reserved Instance Planner can quickly show you which of your reservations aren't being used and how you should redistribute them.

Modifying Your AWS Reserved Instances

Modifying Your AWS Reserved Instances

Modifying Your AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

Startup Weekend: Making It Real

Startup Weekend: Making It Real

Startup Weekend: Making It Real

At the TAO Tech Leadership Forum on 8/4/13, Cloudability CEO and founder Mat Ellis explained why moving to the cloud makes cost management so much harder, forcing a completely new approach to managing your technology supply chain. In this presentation, you'll learn the three factors driving this volatility, as well as specific processes and controls that can turn it into a business advantage. You can learn more about cloud cost management at https://cloudability.com/

Grabbing The Cloud Cost Tiger By The Tail

Grabbing The Cloud Cost Tiger By The Tail

Grabbing The Cloud Cost Tiger By The Tail

These days, too many Ops/IT/Dev managers are dealing with frustration and organizational discord around their cloud spending. In my Cloud Connect talk titled "How to become a Cloud Hero in 5 easy steps", I walked through some of the reasons that cloud budgets and spending management have been so tough for tech managers to tackle and how they can use tools like Cloudability to get it under control. Want to try Cloudability free? Head over to https://cloudability.com and sign up for a 30-day trial.

Optimizing your cloud spend the right way

Optimizing your cloud spend the right way

Optimizing your cloud spend the right way

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AWS Cost Allocation best practices: How high-growth businesses succeed

AWS Cost Allocation best practices: How high-growth businesses succeed

AWS Cost Allocation best practices: How high-growth businesses succeed

Optimizing AWS S3 storage costs and usage

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Optimizing EC2 usage on AWS

Optimizing EC2 usage on AWS

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The Science of Saving with AWS Reserved Instances

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Mastering the fundamentals of AWS billing 8-20-15

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Creating A Culture Of Cost Management 11-10-15

Creating A Culture Of Cost Management 11-10-15

Creating A Culture Of Cost Management 11-10-15

AWS Cost Allocation Using Tags And Linked Accounts

AWS Cost Allocation Using Tags And Linked Accounts

AWS Cost Allocation Using Tags And Linked Accounts

The *New* Science Of Choosing AWS Reserved Instances

The *New* Science Of Choosing AWS Reserved Instances

The *New* Science Of Choosing AWS Reserved Instances

Finding hidden waste in your AWS infrastructure - 2/11/16

Finding hidden waste in your AWS infrastructure - 2/11/16

Finding hidden waste in your AWS infrastructure - 2/11/16

Creating a culture of cost management

Creating a culture of cost management

Creating a culture of cost management

Strategies For Lasting Savings With AWS Reserved Instances

Strategies For Lasting Savings With AWS Reserved Instances

Strategies For Lasting Savings With AWS Reserved Instances

Science Of Saving With AWS Reserved Instances - 9/11/14

Science Of Saving With AWS Reserved Instances - 9/11/14

Science Of Saving With AWS Reserved Instances - 9/11/14

AWS Reserved Instances: Turn your recommendations into purchases

AWS Reserved Instances: Turn your recommendations into purchases

AWS Reserved Instances: Turn your recommendations into purchases

Modifying Your AWS Reserved Instances

Modifying Your AWS Reserved Instances

Modifying Your AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

The Science Behind Choosing AWS Reserved Instances

Startup Weekend: Making It Real

Startup Weekend: Making It Real

Startup Weekend: Making It Real

Grabbing The Cloud Cost Tiger By The Tail

Grabbing The Cloud Cost Tiger By The Tail

Grabbing The Cloud Cost Tiger By The Tail

Optimizing your cloud spend the right way

Optimizing your cloud spend the right way

Optimizing your cloud spend the right way

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Ranking and Scoring Exercises for Research

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Context 1. Housing Agent collected resale prices on HDB apartments in Singapore. Objective 2. To predict resale prices in to advise his potential clients. Strategies 3. Explore & Clean data for analysis. 4. Perform K-Means Clustering, in Orange, to find possible segments in the customer data. 5. Tune the model to improve its performance. 6. Visualise the findings, share conclusions, and give insight-driven recommendations. Author: Anthony mok Date: 18 Nov 2023 Email: xxiaohao@yahoo.com

Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange

Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange

Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange

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怎样办理圣地亚哥州立大学毕业证（SDSU毕业证书）成绩单学校原版复制

怎样办理圣地亚哥州立大学毕业证（SDSU毕业证书）成绩单学校原版复制

怎样办理圣地亚哥州立大学毕业证（SDSU毕业证书）成绩单学校原版复制

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Building Real-Time Pipelines With FLaNK Timothy Spann, Principal Developer Advocate, Streaming - Cloudera Future of Data meetup, startup grind, AI Camp The combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines is extremely powerful, as demonstrated by this case study using the FLaNK-MTA project. The project leverages these technologies to process and analyze real-time data from the New York City Metropolitan Transportation Authority (MTA). FLaNK-MTA demonstrates how to efficiently collect, transform, and analyze high-volume data streams, enabling timely insights and decision-making. Apache NiFi Apache Kafka Apache Flink Apache Iceberg LLM Generative AI Slack Postgresql

DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK

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Yilin Xia (yilinx2@illinois.edu), Shawn Bowers (bowers@gonzaga.edu), Lan Li (lanl2@illinois.edu), and Bertram Ludäscher (ludaesch@illinois.edu) Presented at IDCC-2024 in Edinburg. ABSTRACT. We propose a new approach for modeling and reconciling conflicting data cleaning actions. Such conflicts arise naturally in collaborative data curation settings where multiple experts work independently and then aim to put their efforts together to improve and accelerate data cleaning. The key idea of our approach is to model conflicting updates as a formal argumentation framework (AF). Such argumentation frameworks can be automatically analyzed and solved by translating them to a logic program PAF whose declarative semantics yield a transparent solution with many desirable properties, e.g., uncontroversial updates are accepted, unjustified ones are rejected, and the remaining ambiguities are exposed and presented to users for further analysis. After motivating the problem, we introduce our approach and illustrate it with a detailed running example introducing both well-founded and stable semantics to help understand the AF solutions. We have begun to develop open source tools and Jupyter notebooks that demonstrate the practicality of our approach. In future work we plan to develop a toolkit for conflict resolution that can be used in conjunction with OpenRefine, a popular interactive data cleaning tool.

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Reconciling Conflicting Data Curation Actions: Transparency Through Argument...

Bertram Ludäscher

Digital advertising, or paid media, encompasses the strategic deployment of online advertisements to reach target audiences efficiently and effectively. This includes any digital platform that supports advertising to deliver unique messages for any objective. Understanding the mechanics of digital advertising platforms, along with insights into audience behaviors and preferences, allows marketers to optimize their ad spend and achieve significant engagement and conversion rates. This lecture is for Advanced Digital & Social Media Strategy (MGMTX 466.05) at UCLA Extension.

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Efficiency and Cost Optimization: Rightsizing Cloud Resources with Datadog

1. Presentation Sub-title Presenter Name 07.10.2018 Presentation TitleEﬃciency & Cost Optimization Rightsizing Cloud Resources with Datadog Matthew Finlayson - VP of Engineering @ Cloudability February 6, 2019

2. Who is Cloudability? Largest independent provider Nearly 8 years of best practices and cohort data Best-of-breed platform serving over $9B in cloud spend Manage the top 1% of largest global cloud spenders

3. How Cloudability Works

4. Inform Visibility & Allocation Optimize Utilization Operate Continuous improvement & operations Culture Cloudability is THE platform for FinOps Transparency  Anomaly Detection Charge/Showback  Budget & forecast  Container Allocations Reserved Instances Rightsizing Automation Workload Placement Governance Unit Economics Speed of delivery Value to the business

5. DevOps + Cloud Procurement has outsourced their job to engineers. Engineers now spend company money at will and make financial commitments to cloud providers. has broken traditional procurement

6. Have you ever taken a test guess at sizing requirements?

7. Opportunity cost: Death by 1,000 paper cuts 1000 - $7.00 Opportunities 7 - $1,000.00 Opportunities

8. Understand the historic pattern of the workload

9. Leverage Datadog metrics for Rightsizing Recommendations

10. You could use CloudWatch, but… - Measurements natively come from the hypervisor not the guest - Need a terrible agent or custom memory metrics - Granularity of collection can vary - Unable to backfill utilization metrics unlike Datadog - Doesn’t work across cloud vendors

11. Rightsizing done right

12. How do I Rightsize? - Based on 10 or 30 Days - Historical model of instance types - Balance Risk vs. Savings - Filter by your requirements - Based on use, not averages - Export of all recommendation data - Full API support

13. And there is also clipping…

14. How do I Rightsize? - Based on 10 or 30 Days - Historical model of instance types - Balance Risk vs. Savings - Filter by your requirements - Based on use, not averages - Export of all recommendation data - Full API support