Graviton Migration on AWS

•

0 likes•94 views

Cost efficiency with AWS Graviton migration made seamless and quick. Here’s an interesting EKS -Graviton migration use case from one of our customers, that we empowered with BuildPiper to achieve ~50% cost savings!

Technology

Graviton Migration
on
Achieve Cost
Efficiency
With
| IMPACT

Client Scenario
2 ENV's running EKS workload
In Staging Env, 13 microservices running
with spot instances as worker nodes
1313
In Prod Env, 13 microservices running with
On-demand instances as worker nodes
"Need of Further Cost Efficiency"
| IMPACT

Proposed Further Efficiency
Moving from AMD/Intel
processors to
AWS Graviton, based
Instances
| IMPACT

But !
But, how to create that many
arch images
instantly
For getting into Graviton They
Needed
ARM 64 arch base image
| IMPACT

Solved It Instantly Through
BuildPiper
| IMPACT

With BuildPiper !
BP CI supported building multi-arch images instantly
Built ARM64 base images for All 13 microservices
for Staging En
Implemented Graviton worker nodes for both
Staging and Prod Env
WorWorker Nodes for staging Env
ker Nodes for staging Env
"Buildpiper CI Mutli-arch support for building
container Images and AWS EC2 Graviton
instances are yet another cost reduction lever"
| IMPACT

So, How Much Cost Was Saved ?
Before Graviton
After Graviton empowered by
BuildPiper
On-Demand instances (Intel Processors) Cost $2400/month.
(Approx 10 EC2)
or Staging En
On-Demand Graviton Cost $1200/monthly
A 50% Cost Reduction
| IMPACT

Explore BuildPiper
K8s Deployment Use Cases Simplified!
Cost Saving, Compliance & Much More
BuildPiper

Similar to Graviton Migration on AWS

IVY: an overview

RobertoMontes31

Continuous Everything in a Multi-cloud and Multi-platform Environment

VMware Tanzu

Running serverless at scale

Yan Cui

Lessons learned migrating 100+ services to Kubernetes

Jose Galarza

In six months, Verizon has built a best-in-class Augmented Reality and Virtual Reality (AR/VR) platform that streams HD video and game experiences using Amazon EC2 GPU Accelerated instances and CloudFront. Verizon will share their reference architecture and configuration best practices that enabled them to develop a massively scalable VR architecture that scales to support for 100K simultaneous HD video streams to customers around the globe.

AWS re:Invent 2016: Powering the Next Generation of Virtual Reality with Veri...

Amazon Web Services

Pivotal Container Service Overview

VMware Tanzu

Your Node.js applications will probably be part of a bigger solution, having a database, a reverse proxy, some queuing technology, etc. You need a way to deploy and maintain your entire solution in a flexible and robust way. This session will be all about how you can leverage Microsoft Azure Container Service to provision a production ready Kubernetes cluster and how you can leverage Visual Studio Code to deploy and manage your applications on it.

Node.js kubernetes-cloud all the buzzwords coming together with microsoft azure

Patriek van Dorp

Artem Nikulchenko "Solving scalability problem by converting monolith applica...

Fwdays

How we built Packet's bare metal cloud platform

Packet

Ruby Deployment

Ezra Zygmuntowicz

In this talk, we will leverage all cloud native stacks and tools to build Camel Quarkus routes natively using GraalVM native-image on Tekton pipeline and deploy these routes to Kubernetes cluster with Knative installed. We will dive into the following topics in the talk: - Introduction to Camel - Introduction to Camel Quarkus - Introduction to GraalVM Native Image - Introduction to Tekon - Introduction to Knative - Demo shows how to deploy end to end a Camel Quarkus route which include the following steps: - Look at whole deployment pipeline for Cloud Native Camel Quarkus routes - Build Camel Quarkus routes with GraalVM native-image on Tekton pipeline. - Deploy Camel Quarkus routes to Kubernetes cluster with Knative Targeted Audience: Users with basic Camel knowledge

Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative

Omar Al-Safi

This presentation will introduce Knative, an open source project that adds serverless capabilities on top of Kubernetes, and present Camel K, a lightweight platform that brings Apache Camel integrations in the serverless world. Camel K allows running Camel routes on top of any Kubernetes cluster, leveraging Knative serverless capabilities such as “scaling to zero”. We will demo how Camel K can connect cloud services or enterprise applications using its 250+ components and how it can intelligently route events within the Knative environment via enterprise integration patterns (EIP). Target Group: Developers, architects and other technical people - a basic understanding of Kubernetes is an advantage

Serverless integration with Knative and Apache Camel on Kubernetes

Claus Ibsen

Presented at QCon NYC 2016. The Netflix API is the front-door for almost all device/UI requests from 1000+ device types to the Netflix backends. It serves everything from movie and show recommendations, profile, sign-up, and A/B test related functionality, to bookmarks and licenses for playback. Because all devices use this API, and because Netflix runs on devices of widely varying sizes and interaction models, it has served us well to enable a platform against which device teams write server-side scripts. Using Netflix as an example, the goal of this talk is to explore situations in which server-side scripting is a good solution for applications. I will describe our first approach, which uses Groovy scripts. I will detail how the scripts are uploaded and can make use of shared modules. This approach allows for high flexibility and performance as well as high developer velocity, at the expense of added risk of injecting scripts into running servers. I will then dive into a new approach that will isolate the scripts into their own containers without compromising the original goals and will allow teams to write scripts in node.js, a language that is more natural for them.

The Netflix API Platform for Server-Side Scripting

Katharina Probst

Aws user group #01 lets talk serverless

PolarSeven Pty Ltd

Webinar: https://www.brighttalk.com/webcast/17792/588393?utm_source=ArmLtd&utm_medium=brighttalk&utm_campaign=588393 Multi-architecture infrastructures enable workloads to run on the best hardware for the task (Arm or x86) and optimize price/performance ratios while boosting design flexibility. However, migrating from a single- to a multi-arch framework can be tricky. Join me to learn about: - What is multi-architecture infrastructure? - The trend for moving cloud workloads to multi-arch - How early adopters handled the challenges - The growing software ecosystem of Arm - Comparing the price-performance of common workloads on x86 vs Arm - Resources to get you started This talk prepares developers for the road ahead with the ability to run workloads on the best hardware without needing to be concerned with the underlying architecture.

Multi-Arch Infra From the Ground Up.pptx

Cheryl Hung

OSS Japan 2019 service mesh bridging Kubernetes and legacy

Steve Wong

The Network Revolution, changing how network enabled services are consumed. John Zannos, Vice President - Cloud Platform / Alliances, Canonical The telecom industry has been undergoing a revolution. NFV, Cloud and IoT has rapid changed what it means to be carrier. They are expected to supply services at internet speeds with carrier reliability. Moving to a software based model for network services is the only way to accelerate time to market for new services. Presented at TADSummit 2016, 15-16 Nov, Lisbon in the Sponsors' Plenary

The Network Revolution, John Zannos, Canonical

Alan Quayle

Your developers are asking for it. The boss is wondering how much longer it's going to take. You need to get Kubernetes up and running. This session will explore core Kubernetes concepts as it relates to our knowledge as a vSphere administrator. We will explore the differences between open source and commercialized versions of Kubernetes and take a quick look at different application deployment mechanisms. You’re going to leave with a better understanding of Kubernetes architecture and how to take the next step towards containerization.

Kubernetes for the VI Admin

Kendrick Coleman

Many people are building different workloads using serverless technologies these days, but how would a non-trivial system such as a social network look like on serverless? In this talk Yan will discuss his journey of migrating a social network startup to serverless, and how his team was able to improve performance, scalability and feature delivery using serverless technologies. Yan will discuss how serverless technologies such as Lambda are used to implement each part of their system, including search, push notifications, timeline, user recommendations, and business intelligence. If you're wondering how serverless can be used to solve a wide variety of challenges in your business, this is the talk for you.

How to build a social network on Serverless (AWS Community Summit)

Yan Cui

How to build a social network on serverless | Yan Cui

AWSCOMSUM

Similar to Graviton Migration on AWS (20)

IVY: an overview

Continuous Everything in a Multi-cloud and Multi-platform Environment

Running serverless at scale

Lessons learned migrating 100+ services to Kubernetes

AWS re:Invent 2016: Powering the Next Generation of Virtual Reality with Veri...

Pivotal Container Service Overview

Node.js kubernetes-cloud all the buzzwords coming together with microsoft azure

Artem Nikulchenko "Solving scalability problem by converting monolith applica...

How we built Packet's bare metal cloud platform

Ruby Deployment

Build and Deploy Cloud Native Camel Quarkus routes with Tekton and Knative

Serverless integration with Knative and Apache Camel on Kubernetes

The Netflix API Platform for Server-Side Scripting

Aws user group #01 lets talk serverless

Multi-Arch Infra From the Ground Up.pptx

OSS Japan 2019 service mesh bridging Kubernetes and legacy

The Network Revolution, John Zannos, Canonical

Kubernetes for the VI Admin

How to build a social network on Serverless (AWS Community Summit)

How to build a social network on serverless | Yan Cui

Recently uploaded

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Stronger Together: Developing an Organizational Strategy for Accessible Desig...

caitlingebhard1

Whatsapp Number Escorts Call girls 8617370543 Available 24x7 Mcleodganj Call Girls Service Offer Genuine VIP Model Escorts Call Girls in Your Budget. Mcleodganj Call Girls Service Provide Real Call Girls Number. Make Your Sexual Pleasure Memorable with Our Mcleodganj Call Girls at Affordable Price. Top VIP Escorts Call Girls, High Profile Independent Escorts Call Girls, Housewife Women Escorts Call Girl, College Girls Escorts Call Girls, Russian Escorts Call girls Service in Your Budget.

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Deepika Singh

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Zilliz

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

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

Safe Software

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Elevate Developer Efficiency & build GenAI Application with Amazon Q

Bhuvaneswari Subramani

TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....

rightmanforbloodline

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

DianaGray10

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...

WSO2

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Vector Search -An Introduction in Oracle Database 23ai.pptx

Remote DBA Services

DBX First Quarter 2024 Investor Presentation

Dropbox

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Exploring Multimodal Embeddings with Milvus

Zilliz

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

Recently uploaded (20)

How to Troubleshoot Apps for the Modern Connected Worker

Stronger Together: Developing an Organizational Strategy for Accessible Desig...

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Introduction to Multilingual Retrieval Augmented Generation (RAG)

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

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

Strategies for Landing an Oracle DBA Job as a Fresher

Elevate Developer Efficiency & build GenAI Application with Amazon Q

TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Corporate and higher education May webinar.pptx

WSO2 Micro Integrator for Enterprise Integration in a Decentralized, Microser...

AWS Community Day CPH - Three problems of Terraform

Vector Search -An Introduction in Oracle Database 23ai.pptx

DBX First Quarter 2024 Investor Presentation

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Artificial Intelligence Chap.5 : Uncertainty

Exploring Multimodal Embeddings with Milvus

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Graviton Migration on AWS

1. Graviton Migration on Achieve Cost Efficiency With | IMPACT

2. Client Scenario 2 ENV's running EKS workload In Staging Env, 13 microservices running with spot instances as worker nodes 1313 In Prod Env, 13 microservices running with On-demand instances as worker nodes "Need of Further Cost Efficiency" | IMPACT

3. Proposed Further Efficiency Moving from AMD/Intel processors to AWS Graviton, based Instances | IMPACT

4. But ! But, how to create that many arch images instantly For getting into Graviton They Needed ARM 64 arch base image | IMPACT

5. Solved It Instantly Through BuildPiper | IMPACT

6. With BuildPiper ! BP CI supported building multi-arch images instantly Built ARM64 base images for All 13 microservices for Staging En Implemented Graviton worker nodes for both Staging and Prod Env WorWorker Nodes for staging Env ker Nodes for staging Env "Buildpiper CI Mutli-arch support for building container Images and AWS EC2 Graviton instances are yet another cost reduction lever" | IMPACT

7. So, How Much Cost Was Saved ? Before Graviton After Graviton empowered by BuildPiper On-Demand instances (Intel Processors) Cost $2400/month. (Approx 10 EC2) or Staging En On-Demand Graviton Cost $1200/monthly A 50% Cost Reduction | IMPACT

8. Explore BuildPiper K8s Deployment Use Cases Simplified! Cost Saving, Compliance & Much More BuildPiper

Graviton Migration on AWS

Recommended

Recommended

More Related Content

Similar to Graviton Migration on AWS

Similar to Graviton Migration on AWS (20)

More from OpsTree solutions

More from OpsTree solutions (19)

Recently uploaded

Recently uploaded (20)

Graviton Migration on AWS