Pepperdata

How does Pepperdata accelerate decision making for our customers? 🏎️ 🏎️ 🏎️

By providing a rich performance dataset, Pepperdata makes it easy to understand specific cluster, application, and user-level resources.

Getting a handle on application performance is simple and intuitive, instead of manual, time-consuming, and difficult 😊😊😊

Download your FREE observability datasheet to learn more about how Pepperdata can help you 👉 https://www.pepperdata.com/resource/pepperdata-observability-for-large-scale-data-analytics

A group's collective judgment can be surprisingly accurate—that's the so-called wisdom of the crowds.

For our pepper guess contest at the recent AWS Summit in New York City, the median of all guesses (400) fell within just ➡️2.5%⬅️ of the correct number (390)! 🤯

Check out how "the wisdom of the peppers" can save you 30% or more! 👉 https://www.pepperdata.com/cloud-cost-optimization-real-time 🌶️🌶️🌶️

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Are your engineers tired of continually tuning apps? Would you like to save them time to focus on more critical growth-focused projects?

Find out how Pepperdata eliminates the hassle of manual application tuning and automatically eliminates waste from overprovisioned apps in real time 🤯💰🎯👉 https://www.pepperdata.com/capacity-optimizer-resource-optimization

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How did a giant multinational bank 🏦 save $20 million 💰 and maximize their data center capacity with Pepperdata?

By automatically identifying underutilized servers and redirecting resources to those workloads in real time, Pepperdata Capacity Optimizer reduced the bank's upward spend on server infrastructure by approximately 30%! 🤯🤯🤯

We can help you do the same. Learn how ➡️ https://www.pepperdata.com/resource/finserv-company-saves-20-million

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Are your developers tired of tweaking their apps for improved efficiency? Why not free them from the drudgery of:

🌶️ Configuration tuning
🌶️ Manual recommendations
🌶️ Application code changes

Pepperdata Capacity Optimizer saves you time by autonomously optimizing your clusters so your developers don't have to 🤯🤯🤯 https://www.pepperdata.com/capacity-optimizer-resource-optimization

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The wisdom of the crowd holds that a group's collective judgment can be amazingly accurate.

Pepperdata demonstrated this with our pepper guess contest at the recent AWS Summit in New York City.

The median of all guesses (400) fell within just ➡️2.5%⬅️ of the correct number (390)! 🤯

What number did you guess? 🌶️🌶️🌶️

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🧑‍🍳 As with any great recipe, Pepperdata's secret sauce has a few key ingredients:

🌶️ Continuous, Intelligent Tuning
🌶️ Optimizes Your Clusters in Two Ways
🌶️ Frees Resources for Innovation

Apply the sauce and reduce the cost! 👉 https://www.pepperdata.com/secret-sauce-new/

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You know them as a huge consumer brand. We know them as a company that saved $100K per month on their cloud bill 💰💰💰

Learn how this household name reduced the cost of Apache Spark on Amazon EKS by a full third! ♻️♻️♻️ 👉 https://www.pepperdata.com/resource/internet-company-saves-33-percent-spark-eks

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"Karpenter is a great tool… but modern applications are a different beast now."—Shashi Raina, Partner Solutions Architect, Amazon Web Services (AWS)

🤔 Instance rightsizing solutions like Karpenter—though powerful and effective—will still not completely optimize your data-intensive applications with price and performance in mind.

Read the blog and watch the video to learn how you can get the most from your instance rightsizing efforts 👉 https://www.pepperdata.com/blog/myth-3-of-apache-spark-optimization-rightsizing/

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Myth #3 of Apache Spark Optimization: Instance Rightsizing Apache Spark users may believe Instance Rightsizing eliminates cluster waste—but it does not address the waste inherent within Apache Spark and other data-intensive apps.

While Autoscaling provides you with the ability to dynamically get more resources when you ask for them, it doesn't know if you're using those resources efficiently. Only Pepperdata can prevent Apache Spark from wasting resources deployed by the Autoscaler 😎

Watch the second part of this series, "The 5 Myths of Apache Spark Optimization," between Pepperdata's Kirk Lewis and Shashi Raina from Amazon Web Services (AWS) as they discuss popular assumptions behind Cluster Autoscaling 📺
https://www.pepperdata.com/blog/myth-2-of-apache-spark-optimization-autoscaling/

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Myth #2 of Apache Spark Optimization: Cluster Autoscaling Cluster Autoscaling is helpful for improving cloud resource optimization, but it doesn’t eliminate application waste.

⚙️ Apache Spark users may believe observability & monitoring solutions help them eliminate waste—but these solutions don’t actionably optimize Spark apps.

Read our new blog to learn the finer details regarding the the first myth of Apache Spark optimization 🤔 https://www.pepperdata.com/blog/myth-1-of-apache-spark-optimization-observability-monitoring/

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Myth #1 of Apache Spark Optimization: Observability & Monitoring Apache Spark users may believe Observability & Monitoring solutions help them eliminate waste—but these solutions don’t actionably optimize Spark apps.

Tired of skyrocketing cloud bills? It boils down to Cost = Usage x Rate.📈 Solve the puzzle of optimizing usage with Pepperdata's Capacity Optimizer. Enjoy real-time tuning, continuous monitoring & augmented autoscaling.

🚀 Free Cost Savings Assessment: https://bit.ly/3MwoTk6

If you missed out on, "Maximize Your Savings: How Autodesk Optimized its Amazon EMR with Pepperdata," don't worry—you can still watch it!Just go to the link below to learn how Autodesk saved 50% 👇 https://bit.ly/3MoiPKo

Join the "Maximize Your Savings" webinar on May 18th, 1:00 pm, as experts share insights on optimizing and achieving impressive cost savings using advanced solutions 🌐 💼Register now: https://bit.ly/3JtgHym

Amazon EMR can provide a significant price/performance boost over your existing on-premises or cloud environment. But how do you optimize that performance to maximum efficiency.
See how Pepperdata for Amazon EMR can eliminate waste and reduce your cloud costs by 50% 👋 https://bit.ly/3JMDhDH

A Pepperdata client found their cloud costs were out of control and needed an optimization tool to slash their costs in half. Download our case study to see how Pepperdata Capacity Optimizer increased capacity and rightsed compute for the company's Apache Spark on Amazon EMR applications. 👇 https://bit.ly/3VXtqjO

Join the "Maximize Your Savings" webinar on May 18th, 1:00 pm, as experts share insights on optimizing and achieving impressive cost savings using advanced solutions 🌐 💼Register now: https://bit.ly/3JtgHym

Our is the best solution for identifying where more work can be done efficiently 🦾 It automatically adds tasks to available resources, leading to optimized CPU, memory, and I/O utilization. This results in the successful launch of more applications, working seamlessly with both Kubernetes and traditional big data environments.

Say goodbye to resource management headaches! Find out how Pepperdata can help you 👩🏽‍💻 https://bit.ly/41iWzqG

Discover how to move your setup to the cloud with a comprehensive overview of . This powerful big data platform offers performance optimization, cost savings, scalability, and reliability 🦾

Our webinar will introduce you to best practices and ways to avoid common pitfalls in making the transition. Plus, learn about autonomous cost tools to maximize your savings.

Perfect for beginners and experienced users alike, this insightful session offers valuable tips and tricks to reduce costs and streamline operations 🙋🏻‍♀️

https://www.pepperdata.com/technical-webinars/

Enterprises may think they're getting the most out of their stack, but manual efforts just don't cut it anymore 🔧

It's time to update your tactics - automation has become a must-have for businesses leveraging on premise and cloud solutions alike.

Don't miss out – here are 6 reasons why automating infrastructure is key in maximizing performance from large volumes of stored data ☝️

Why Manual Infrastructure Optimization Doesn’t Work | Pepperdata Automation is no longer a nice-to-have; it’s a modern necessity. Here are the six ways manual infrastructure optimization holds enterprises back.

Pepperdata is the only solution that autonomously optimizes your and infrastructure with no manual intervention or code changes.
Try it for yourself and get started in less than 15 minutes with our free, self-guided demo 👋 https://bit.ly/369Exki

This Fortune 100 financial services giant gained 30% in server utilization and capacity, equivalent to 100s of nodes 📈

Find out in our case study: https://bit.ly/3BxvnuU 👇

Reduce your Kubernetes spend autonomously, without endless tuning and tweaking, all while having peace of mind as you stay within budget 👌

Visit https://bit.ly/3XnL27L to learn more about our Autonomous Platform for .

Self service analytics are becoming increasingly popular and essential in this data-driven world. They enable non-technical users to:

🔺 Securely perform their own queries
🔺 Create reports and run queries
🔺 Generate visualizations with little IT assistance

Read our blog now to learn why enterprises need : https://bit.ly/3KvKeHf

had already been using Pepperdata for granular visibility into their on-premises , but they needed a solution for helping transition their workloads to the cloud ☁️

Read our blog for an overview of how Pepperdata kept costs under control for Magnite as the company shifted to the 👌

https://bit.ly/38mdsvp

Today's the day for 2023 👋👋👋

Hear real-world perspectives from long-time enterprise data visionaries, data engineers, data and cloud architects, and DataOps and DevOps practitioners.

You can still sign up for virtual tickets now: https://bit.ly/3H9Eser

2 days to go before 2023 👋
Join us for talks around things like:Building blocks of the modern data platformDeploying the modern data platform using K8sModern best practices for enterprise operations and more!

Sign up for virtual tickets now: https://bit.ly/3H9Eser

You might have implemented a approach to your organization’s cloud infrastructure, but how is it being benchmarked?

Learn more in our blog to see how you can keep your costs optimized 👇👇👇 https://www.pepperdata.com/blog/cloud-finops