case study of aws

Real Stories of Cost Optimization on AWS

In this post, we will unveil real-life customer sagas where businesses harnessed the power of aws to supercharge their savings.

I am a Senior AWS Technical Account Manager, and in my role I provide consultative architectural and operational guidance delivered in the context of customers' applications and use-cases to help them achieve the greatest value from AWS. My role is not just about providing technical support but also helping our valued customers optimize their cloud resources to achieve cost-efficiency without sacrificing performance. In this blog post, we'll explore various strategies, tactics, and real-world examples of how I've assisted our large enterprise customers in their cost optimization endeavors. I'll share real-life use cases, metrics, and strategies that have proven effective. Stay tuned for a Bonus strategy at the end.

The Cost Optimization Framework

In the ever-evolving landscape of cloud computing, Enterprises are continually seeking ways to maximize the benefits of AWS while keeping costs in check. Before diving into specific customer cases, let's outline the fundamental framework for AWS cost optimization. It involves several key pillars:

Implementing Cloud Financial Management

Implementing Cloud Financial Management starts with the customer identifying key stakeholders from Finance and Technology, thus forming a cost optimization function that's responsible to establish and maintain cost awareness internally. A suite of AWS Services can help the customer achieve this, such as AWS Budgets and AWS Cost Anomaly Detection to accurately forecast AWS spend. Tools like AWS Cost Explorer and AWS Billing Console can be leveraged to derive real-time insights into AWS spend , while AWS Cost and Usage reports serve an excellent source to obtain fine-grain usage metrics. Additionally, customers can subscribe to AWS Blogposts to stay relevant to Roadmap items of interest.

Expenditure and Usage Awareness

Expenditure and Usage awareness among internal teams, can be enabled via a unified Account structure with AWS Organizations, allowing customers to seamlessly allocate costs and usage to the various Business Units within the company. Customers can setup and enable Cost Allocation tags as part of their charge-back strategy to hold internal product teams accountable for their AWS Costs and Usage.

Cost Effective Resources

Using purpose-built resource types for specific workloads is going to be key to cost savings. Other opportunities includes, Instance resizing for both Cost and Performance or leveraging managed services such as Amazon Aurora , Amazon ElastiCache and Amazon DynamoDB to minimize the overhead of managing and maintaining the servers. Customers can also take advantage of AWS' cost-effective pricing options such as Savings Plans , Reserved Instances or Spot for their workloads, saving significant amount of costs as compared to OnDemand.

Manage Demand and Supply

It is paramount for customers to keep their operating costs low. To facilitate that, customers can consider adopting auto-scaling across key AWS services such as Amazon EC2, Amazon DynamoDB and Amazon ElastiCache. This ensures that the customer only pays for the computing resources they need, and not have to overpay.

Optimizing over Time

In AWS, you optimize over time by reviewing new services and implementing them in your workload. As AWS releases new services and features, it is a best practice to review your existing architectural decisions to ensure that they remain cost effective. As your requirements change, be aggressive in decommissioning resources, components, and workloads that you no longer require.

Real-world Cost Optimization Stories

Case study 1: leveraging various aws pricing options.

A Digital AdExchange realized over 60% in cost savings by adopting AWS EC2 Spot for their real-time bidding application, while maintaining the same throughput. The customer updated their application to use disparate Instance Types (~20) and over 50% of those Instance types were used in the spot fleets that replaced the original auto-scaling groups, thus providing a significant amount of resistance to fluctuations in the spot market. The customer also implemented a log recovery pipeline to combat the problem of losing log data on terminated spot instances. The customer had unpredictable traffic patterns but needed cost predictability. So, in addition to Spot, we helped them implement a mixed Reservations strategy, combining EC2 Savings Plans for steady-state workloads and Compute Savings Plans for flexibility. While the EC2 Instance Savings Plans provided the customer with over 65% price benefits, the Compute Savings Plans unlocked over 60% in potential cost savings. This led to annual cost savings of over $1 million. Furthermore, Advertising technology (ad tech) companies use Amazon DynamoDB to store various kinds of marketing data, such as user profiles, user events, clicks, and visited links. Some of the use cases include real-time bidding (RTB), ad targeting, and attribution. These use cases require a high request rate (millions of requests per second), low and predictable latency, and reliability. As a fully managed service, DynamoDB allows ad tech companies to meet all of these requirements without having to invest resources in database operations. With accelerated DynamoDB costs Month-over-month, the customer quickly adopted DynamoDB Reserved Capacity to receive a significant discount over Provisioned Capacity (Read and Write) and this helped the customer save an estimated $1M annually. Lastly, the customer was also able to save ~$300k with ElastiCache RIs and $150k with OpenSearch RIs.

Case Study 2: Utilizing native AWS tools to optimize costs

One of our largest social media customers experienced a sudden but sustained spike in their AWS costs for a specific Business Unit. We implemented a comprehensive tagging strategy, enabling them to allocate costs with precision. This led to better cost accountability and improved budget management. We also set up AWS Cost and Usage reports to provide granular insights into Cost and Usage, and we were able to identify the key driver behind the cost increase. This proactive approach allowed the company to identify and address cost anomalies in real-time, saving them thousands of dollars. Additionally, it helped the customer gain visibility into escalating Compute and Database costs. AWS Trusted Advisor is a service that inspects your AWS environment and provides recommendations for optimizing your resources. For one of our largest social media customers, we utilized AWS Trusted Advisor, which identified Underutilized and Idle resources that could potentially be terminated savings the customer $200k monthly across Amazon EC2, EBS, RDS and Load Balancers. Furthermore, the tool also provided recommendations around. Lastly with AWS Compute Optimizer, the customer was able to uncover $60k in monthly savings achieved through EC2 Rightsizing recommendations.

As promised, here's the Bonus

AWS Graviton is a game-changer for cost optimization and performance in Cloud Computing. Graviton instances, powered by Arm-based processors, offer a compelling value proposition. Graviton instances typically come at a lower price point compared to their x86 counterparts, making them a cost-effective choice. They also consume less power and have a smaller carbon footprint, reducing operational costs and contributing to an organization's sustainability goals. For businesses with demanding workloads, this can translate into significant savings over time. Along with the cost benefits, the Graviton instances are also designed for performance and efficiency making it a lucrative choice for many types of workloads, especially those that are highly parallelizable, like web servers and microservices. A major streaming company whose key workloads are hosted on AWS were able to assess $1M in monthly net savings (20%) by adopting Graviton across Amazon EC2, RDS, ElastiCache and OpenSearch. This allowed the customer actively re-invest the realized savings into other growth areas such as Generative AI that helped accelerate their business outcomes.

As a AWS Technical Account Manager, I'm committed to staying at the forefront of these developments, ensuring that our customers have access to the latest cost optimization strategies and technologies. Cost optimization on AWS isn't a one-time task but a continuous journey. By leveraging rightsizing, reserved instances, spot instances, lifecycle policies, and effective cost allocation, we've helped numerous enterprise customers unlock substantial savings while maintaining or even improving their cloud workloads. The key takeaway is that cost optimization on AWS is achievable with the right strategies, tools, and a commitment to ongoing monitoring and improvement. As your partner in the cloud, I'm here to guide you on this journey, ensuring that your AWS infrastructure remains cost-efficient, agile, and aligned with your business objectives. In the world of AWS, the path to cost optimization is paved with data-driven insights, smart resource management, and a collaborative partnership between AWS and our valued customers. Together, we'll continue to optimize and thrive in the cloud.

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

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AWS Case Studies: Services and Benefits in 2024

Home Blog Cloud Computing AWS Case Studies: Services and Benefits in 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. AWS's computing power, storage, database management, and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. These include improved security, agility, worldwide reach, and lower infrastructure costs. With Amazon AWS educate program it helps businesses in various industries to increase growth, enhance workflow, and maintain their competitiveness in today's ever-changing digital landscape. So, let's discuss the AWS cloud migration case study   and its importance in getting a better understanding of the topic in detail.

What are AWS Case Studies, and Why are They Important?

The   AWS case   studies comprehensively explain how companies or organizations have used Amazon Web Services (AWS) to solve problems, boost productivity, and accomplish objectives. These studies provide real-life scenarios of Amazon Web Services (AWS) in operation, showcasing the wide range of sectors and use cases in which AWS can be successfully implemented. They offer vital lessons and inspiration for anyone considering or already using AWS by providing insights into the tactics, solutions, and best practices businesses use the AWS Cloud Engineer program . The Amazon ec2 case study   is crucial since it provides S's capabilities, assisting prospective clients in comprehending the valuable advantages and showcasing AWS's dependability, scalability, and affordability in fostering corporate innovation and expansion.

What are the Services Provided by AWS, and What are its Use Cases?

The   case study on AWS in Cloud Computing provided and its use cases mentioned:

Elastic Compute Cloud (EC2) Use Cases

Amazon Elastic Compute Cloud (EC2) enables you to quickly spin up virtual computers with no initial expenditure and no need for a significant hardware investment. Use the AWS admin console or automation scripts to provision new servers for testing and production environments promptly and shut them down when not in use.

AWS EC2 use cases consist of:

• With options for load balancing and auto-scaling, create a fault-tolerant architecture.
• Select EC2 accelerated computing instances if you require a lot of processing power and GPU capability for deep learning and machine learning.

Relational Database Service (RDS) Use Cases

Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities.

AWS RDS uses common cases, including:

• Without additional overhead or staff expenditures, a new database server can be deployed in minutes and significantly elevate dependability and uptime. It is the perfect fit for complex daily database requirements that are OLTP/transactional.
• RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS Workspaces

AWS offers Amazon Workspaces, a fully managed, persistent desktop virtualization service, to help remote workers and give businesses access to virtual desktops within the cloud. With it, users can access the data, apps, and resources they require from any supported device, anywhere, at any time.

AWS workspaces use cases

• IT can set up and manage access fast. With the web filter, you can allow outgoing traffic from a Workspace to reach your chosen internal sites.
• Some companies can work without physical offices and rely solely on SaaS apps. Thus, there is no on-premises infrastructure. They use cloud-based desktops via AWS Workspaces and other services in these situations.

AWS Case Studies

Now, we'll be discussing different case studies of AWS, which are mentioned below: -

Case Study - 1: Modern Web Application Platform with AWS

American Public Media, the programming section of Minnesota Public Radio, is one of the world's biggest producers and distributors of public television. To host their podcast, streaming music, and news websites on AWS, they worked to develop a proof of concept.

After reviewing an outdated active-passive disaster recovery plan, MPR decided to upgrade to a cloud infrastructure to modernize its apps and methodology. This infrastructure would need to be adaptable to changes within the technology powering their apps, scalable to accommodate their audience growth, and resilient to support their disaster recovery strategy.

MPR and AWS determined that MPR News and the public podcast websites should be hosted on the new infrastructure to show off AWS as a feasible choice. Furthermore, AWS must host multiple administrative apps to demonstrate its private cloud capabilities. These applications would be an image manager, a schedule editor, and a configuration manager.

To do this, AWS helped MPR set up an EKS Kubernetes cluster . The apps would be able to grow automatically according to workload and traffic due to the cluster. AWS and MPR developed Elasticsearch at Elastic.co and a MySQL instance in RDS to hold application data.

Business Benefits

Considerable cost savings were made possible by the upgraded infrastructure. Fewer servers would need to be acquired for these vital applications due to the decrease in hardware requirements. Additionally, switching to AWS made switching from Akamai CDN to CloudFront simple. This action reduced MPR's yearly expenses by thousands.

Case Study - 2: Platform Modernisation to Deploy to AWS

Foodsby was able to proceed with its expansion goals after receiving a $6 million investment in 2017, but it still needed to modernize its mobile and web applications. For a faster time to launch to AWS, they improved and enhanced their web, iOS, and Android applications.

Sunsetting technology put this project on a surged timeline. Selecting the mobile application platform required serious analysis and expert advice to establish consensus across internal stakeholders.

Improving the creation of front-end and back-end web apps that separated them into microservices to enable AWS hosting, maximizing scalability. Strengthening recommended full Native for iOS and Android and quickly creating and implementing that solution.

Case Study - 3: Cloud Platform with Kubernetes

SPS Commerce hired AWS to assist them with developing a more secure cloud platform, expanding their cloud deployment choices through Kubernetes, and educating their engineers on these advanced technologies.

SPS serves over 90,000 retail, distribution, grocery, and e-commerce businesses. However, to maintain its growth, SPS needs to remove obstacles to deploying new applications on AWS and other cloud providers in the future. They wanted a partner to teach their internal development team DevOps principles and reveal them to Kubernetes best practices, even though they knew Kubernetes would help them achieve this.

To speed up new project cycle times, decrease ramp-up times, and improve the team's Kubernetes proficiency, it assisted with developing a multi-team, Kubernetes-based platform with a uniform development method. The standards for development and deployment and assisted them in establishing the deployment pipeline.

Most teams can plug, play, and get code up and running quickly due to the streamlined deployment interface. SPS Commerce benefits from Kubernetes' flexibility and can avoid vendor lock-in, which they require to switch cloud providers.

Case Study - 4: Using Unified Payment Solutions to Simplify Government Services

The customer, who had a portfolio of firms within its authority, needed to improve experience to overcome the difficulty of combining many payment methods into a single, unified solution.

Due to the customers' varied acquisitions, the payment system landscape became fragmented, making it more difficult for clients to make payments throughout a range of platforms as well as technologies. Providing a streamlined payment experience could have been improved by this lack of coherence and standardization.

It started developing a single, cloud-based payment system that complies with the customers' microservices-based reference design. CRUD services were created after the user interface for client administration was set at the beginning of the project.

With this, the customer can streamline operations and increase efficiency by providing a smooth payment experience.

The new system demonstrated a tremendous improvement over the old capability, demonstrating the ability to handle thousands of transactions per second.

Maintaining system consistency and facilitating scalability and maintenance were made more accessible by aligning with the reference architecture.

Case Study - 5: Accelerated Data Migration to AWS

They selected improvements to create   an   AWS cloud migration case study cloud platform to safely transfer their data from a managed service provider to AWS during the early phases of a worldwide pandemic.

Early in 2020, COVID-19 was discovered, and telemedicine services were used to lessen the strain on hospital infrastructure. The number of telehealth web queries increased dramatically overnight, from 5,000 to 40,000 per minute. Through improvement, Zipnosis was able to change direction and reduce the duration of its AWS migration plan from six to three months. The AWS architecture case study includes HIPAA, SOC2, and HITRUST certification requirements. They also wanted to move their historic database smoothly across several web-facing applications while adhering to service level agreements (SLAs), which limited downtime.

Using Terraform and Elastic Kubernetes Service, the AWS platform creates a modern, infrastructure-as-code, HIPAA-compliant, and HITRUST-certified environment. With the help of serverless components, tools were developed to roll out an Application Envelope, enabling the creation of a HIPAA-compliant environment that could be activated quickly.

Currently, Zipnosis has internal platform management. Now that there is more flexibility, scaling up and down is more affordable and accessible. Their services are more marketable to potential clients because of their scalable, secure, and efficient infrastructure. Their use of modern technologies, such as Kubernetes on Amazon EKS, simplifies hiring top people. Zipnosis is in an excellent position to move forward.

Case Study - 6: Transforming Healthcare Staffing

The customer's outdated application presented difficulties. It was based on the outdated DBROCKET platform and needed an intuitive user interface, testing tools, and extensibility. Modernizing the application was improving the job and giving the customer an improved, scalable, and maintainable solution.

Although the customer's old application was crucial for predicting hospital staffing needs, maintenance, and improvements were challenging due to its reliance on the obscure DBROCKET platform. Hospitals lost money on inefficient staff scheduling due to the application's lack of responsiveness and a mobile-friendly interface.

Choosing Spring Boot and Groovy for back-end development to offer better maintainability and extensibility throughout the improved migration of the application from DBROCKET to a new technology stack. Unit tests were used to increase the reliability and standard of the code.

Efficiency at Catalis increased dramatically when the advanced document redaction technology was put in place. They were able to process papers at a significantly higher rate because the automated procedure cut down the time and effort needed for manual redaction.

Catalis cut infrastructure costs by utilizing serverless architecture and cloud-based services. They saved a significant amount of money because they were no longer required to upgrade and maintain on-premises servers.

The top-notch Knowledgehut best Cloud Computing courses that meet different demands and skill levels are available at KnowledgeHut. Through comprehensive curriculum, hands-on exercises, and expert-led instruction, attendees may learn about and gain practical experience with cloud platforms, including AWS, Azure, Google Cloud, and more. Professionals who complete these courses will be efficient to succeed in the quickly developing sector of cloud computing.

Finally,   a   case study of   AWS retail case studies offers a range of features and advantages. These studies show how firms in various industries use AWS for innovation and growth, from scalability to cost efficiency. AWS offers a robust infrastructure and a range of technologies to satisfy changing business needs, whether related to improving customer experiences with cloud-based solutions or streamlining processes using AI and machine learning. These case studies provide substantial proof of AWS's influence on digital transformation and the success of organizations.

Frequently Asked Questions (FAQs)

From the case study of Amazon web services, companies can learn how other businesses use AWS services to solve real-world problems, increase productivity, cut expenses, and innovate. For those looking to optimize their cloud strategy and operations, these case studies provide insightful information, optimal methodologies, and purpose. 

You can obtain case studies on AWS through the AWS website, which has a special section with a large selection of case studies from different industries. In addition, AWS releases updated case studies regularly via various marketing platforms and on its blog.

The case study of Amazon web services, which offers specific instances of how AWS services have been successfully applied in various settings, can significantly assist in the decision-making process for IT initiatives. Project planning and strategy can be informed by the insights, best practices, and possible solutions these case studies provide.

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Kingson Jebaraj is a highly respected technology professional, recognized as both a Microsoft Most Valuable Professional (MVP) and an Alibaba Most Valuable Professional. With a wealth of experience in cloud computing, Kingson has collaborated with renowned companies like Microsoft, Reliance Telco, Novartis, Pacific Controls UAE, Alibaba Cloud, and G42 UAE. He specializes in architecting innovative solutions using emerging technologies, including cloud and edge computing, digital transformation, IoT, and programming languages like C, C++, Python, and NLP. 

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Cite this post.

AMS Citation

Cois, C., 2015: DevOps Case Study: Amazon AWS. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed May 16, 2024, https://insights.sei.cmu.edu/blog/devops-case-study-amazon-aws/.

APA Citation

Cois, C. (2015, February 5). DevOps Case Study: Amazon AWS. Retrieved May 16, 2024, from https://insights.sei.cmu.edu/blog/devops-case-study-amazon-aws/.

Chicago Citation

Cois, C. Aaron. "DevOps Case Study: Amazon AWS." Carnegie Mellon University, Software Engineering Institute's Insights (blog) . Carnegie Mellon's Software Engineering Institute, February 5, 2015. https://insights.sei.cmu.edu/blog/devops-case-study-amazon-aws/.

IEEE Citation

C. Cois, "DevOps Case Study: Amazon AWS," Carnegie Mellon University, Software Engineering Institute's Insights (blog) . Carnegie Mellon's Software Engineering Institute, 5-Feb-2015 [Online]. Available: https://insights.sei.cmu.edu/blog/devops-case-study-amazon-aws/. [Accessed: 16-May-2024].

BibTeX Code

@misc{cois_2015, author={Cois, C. Aaron}, title={DevOps Case Study: Amazon AWS}, month={Feb}, year={2015}, howpublished={Carnegie Mellon University, Software Engineering Institute's Insights (blog)}, url={https://insights.sei.cmu.edu/blog/devops-case-study-amazon-aws/}, note={Accessed: 2024-May-16} }

DevOps Case Study: Amazon AWS

C. Aaron Cois

February 5, 2015, published in.

Regular readers of this blog will recognize a recurring theme in this series: DevOps is fundamentally about reinforcing desired quality attributes through carefully constructed organizational process, communication, and workflow . When teaching software engineering to graduate students in Carnegie Mellon University's Heinz College , I often spend time discussing well known tech companies and their techniques for managing software engineering and sustainment. These discussions serve as valuable real-world examples for software engineering approaches and associated outcomes, and can serve as excellent case studies for DevOps practitioners. This posting will discuss one of my favorite real-world DevOps case studies: Amazon .

Amazon is one of the most prolific tech companies today. Amazon transformed itself in 2006 from an online retailer to a tech giant and pioneer in the cloud space with the release of Amazon Web Services (AWS) , a widely used on-demand Infrastructure as a Service (IaaS) offering. Amazon accepted a lot of risk with AWS. By developing one of the first massive public cloud services, they accepted that many of the challenges would be unknown, and many of the solutions unproven. To learn from Amazon's success we need to ask the right questions. What steps did Amazon take to minimize this inherently risky venture? How did Amazon engineers define their process to ensure quality?

Luckily, some insight into these questions was made available when Google engineer Steve Yegge (a former Amazon engineer) accidentally made public an internal memo outlining his impression of Google's failings (and Amazon's successes) at platform engineering. This memo (which Yegge has specifically allowed to remain online) outlines a specific decision that illustrates CEO Jeff Bezos's understanding of the underlying tenets of what we now call DevOps, as well as his dedication to what I will claim are the primary quality attributes of the AWS platform: interoperability, availability, reliability, and security. According to Yegge, Jeff Bezos issued a mandate during the early development of the AWS platform, that stated, in Yegge's words :

• All teams will henceforth expose their data and functionality through service interfaces.
• Teams must communicate with each other through these interfaces.
• There will be no other form of interprocess communication allowed: no direct linking, no direct reads of another team's data store, no shared-memory model, no back-doors whatsoever. The only communication allowed is via service interface calls over the network.
• It doesn't matter what technology they use. HTTP, Corba, Pubsub, custom protocols -- doesn't matter. Bezos doesn't care.
• All service interfaces, without exception, must be designed from the ground up to be externalizable. That is to say, the team must plan and design to be able to expose the interface to developers in the outside world. No exceptions.
• Anyone who doesn't do this will be fired.

Aside from the harsh presentation, take note of what is being done here. Engineering processes are being changed; that is, engineers at Amazon now must develop web service APIs to share all data internally across the entire organization. This change is specifically designed to incentivize engineers to build for the desired level of quality. Teams will be required to build usable APIs, or they will receive complaints from other teams needing to access their data. Availability and reliability will be enforced in the same fashion. As more completely unrelated teams need to share data, APIs will be secured as a means of protecting data, reducing resource usage, auditing, and restricting access from untrusted internal clients. Keep in mind that this mandate was to all teams, not just development teams. Marketing wants some data you have collected on user statistics from the web site? Then marketing has to find a developer and use your API. You can quickly see how this created a wide array of users, use cases, user types, and scenarios of use for every team exposing any data within Amazon.

DevOps teaches us to create a process that enforces our desired quality attributes, such as requiring automated deployment of our software to succeed before the continuous integration build can be considered successful. In effect, this scenario from Amazon is an authoritarian version of DevOps thinking. By enforcing a rigorous requirement of eating (and serving!) their own dog food to all teams within Amazon, Bezos's engineering operation ensures that through constant and rigorous use, their APIs would become mature, robust, and hardened.

These API improvements happened organically at Amazon, without the need to issue micromanaging commands such as "All APIs within Amazon must introduce rate limit X and scale to Y concurrent requests," because teams were incentivized to continually improve their APIs to make their own working lives easier. When AWS was released a few years later, many of these same APIs comprised the public interface of the AWS platform, which was remarkably comprehensive and stable at release. This level of quality at release directly served business goals by contributing to the early adoption rates and steady increase in popularity of AWS, a platform that provided users with a comprehensive suite of powerful capabilities and immediate comfort and confidence in a stable, mature service.

Every two weeks, the SEI will publish a new blog post offering guidelines and practical advice to organizations seeking to adopt DevOps in practice. We welcome your feedback on this series, as well as suggestions for future content. Please leave feedback in the comments section below.

Additional Resources

To listen to the podcast, DevOps--Transform Development and Operations for Fast, Secure Deployments , featuring Gene Kim and Julia Allen, please visit https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=58525 .

Author Page

Digital library publications, send a message, more by the author, devops case study: netflix and the chaos monkey, april 30, 2015 • by c. aaron cois, continuous integration in devops, april 8, 2015 • by c. aaron cois, january 26, 2015 • by c. aaron cois, devops and your organization: where to begin, december 18, 2014 • by c. aaron cois, devops and agile, november 13, 2014 • by c. aaron cois, more in devsecops, polar: improving devsecops observability, may 6, 2024 • by morgan farrah , vaughn coates , patrick earl, example case: using devsecops to redefine minimum viable product, march 11, 2024 • by joe yankel, acquisition archetypes seen in the wild, devsecops edition: clinging to the old ways, december 18, 2023 • by william e. novak, extending agile and devsecops to improve efforts tangential to software product development, august 7, 2023 • by david sweeney , lyndsi a. hughes, 5 challenges to implementing devsecops and how to overcome them, june 12, 2023 • by joe yankel , hasan yasar, get updates on our latest work..

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• Retailers and Health Systems Can Improve Care Together  By: Robert S. Huckman, Vivian S. Lee and Bradley R Staats
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Indonesia’s top pharmaceutical company, PT. Holi Pharma—part of PYFA Group—was facing multiple roadblocks when it came to operating margins and revenue growth. Inconsistencies and lack of data across the organization led to decision-making and implementation bottlenecks. Holi Pharma looked to modernize its IT systems and processes to comply with industry standards. The pharmaceutical company also hoped to improve operating margins and grow revenue.

A robust enterprise foundation was crucial for integrating and streamlining business processes and optimizing productivity across Holi Pharma. The company needed to apply transformational technologies and services while harmonizing processes, data and reporting across all departments to stay ahead of competitors and continue its growth. That’s where IBM came in alongside Amazon Web Services (AWS), and the two technology giants began to chip away at the transformation barriers Holi Pharma was encountering. IBM Consulting® helped the company successfully deploy RISE with SAP (link resides outside of ibm.com) to move its mission-critical ERP workloads and processes to AWS cloud.

“With the ever-changing healthcare landscape, we sought expert guidance,” explains Lioe Julius, Head of IT at PYFA Group. “We saw IBM as the major consultant in Indonesia for SAP, their platinum partner. Having experience deploying SAP across various sectors, particularly healthcare, IBM was ideally suited to lead our fast-paced project.”

Julius continues: “By working together with the Indonesian team and tapping into IBM’s internal resources, we can guarantee we’re following best practices and have a wider network of expertise to address any challenges that may arise.”

Julius explains that the migration process ran smoothly. IBM had established dates for downtime with the Holi Pharma team. Moving into AWS was effectively done over three Saturday nights. While there were specific windows of operating downtime—12 hours—IBM made it very clear what preparations were to be done ahead of the planned migration.

Enabled by RISE with SAP, the combined expertise from the partnership with IBM and AWS has laid a foundation for Holi Pharma to accelerate its transformation. The company has begun ramping up its SAP S/4HANA modernization journey and can share data efficiently among business units, providing decision-makers with precise operational insights. Processes like month-end closings and production planning now occur much faster—closings that once required weeks or longer now finish within 7–10 days—and employees can focus more time on high-value analysis.

By integrating RISE with SAP, Holi Pharma can create a detailed profitability analyses using modules at the segment and product levels. The adaptability within the high-performance computing and storage systems enables IBM and SAP to deploy the RISE with SAP landscape faster, resulting in a much shorter project timeline for the pharmaceutical company. The new integration can also increase Holi Pharma’s competitiveness and help with its profitability.

Julius credits the new system, saying: “Improved data traceability through our new system empowers production planning for efficient collaboration with marketing. Additionally, our AWS infrastructure positions us for strategic growth by enabling comprehensive data analysis and user-driven innovation.”

A subsidiary of PYFA Group, Holi Pharma (link resides outside of ibm.com) is a pharmaceutical company in Cimahi, West Java, Indonesia. The company produces a wide range of medicines from various therapeutic areas in the form of syrups, tablets/caplets, capsules, semi-solid and liquid external drugs. Holi Pharma has more than 150 SKUs of products, including a combination of generic and branded products that include drugs, antibiotics, vitamins and supplements.

To learn more about the IBM solutions featured in this story, please contact your IBM representative or IBM Business Partner.

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82 Success stories

Vireo Energy forecasting more efficient use of electricity to save hydrogen production costs

Vireo Energy’s electrolyser control solution helps companies reduce the cost of producing green hydrogen.

Southern Launch completes first rocket launch from Koonibba Test Range

Southern Launch has completed the first launch of German company HyImpulse’s suborbital rocket from its Koonibba Test Range.

Sacco System to develop live biotherapeutics for next-generation medicines in Australia

Italian biotechnology company Sacco System has opened a facility in Brisbane to develop live biotherapeutics for next-generation medicines.

Zoetis invests A$350m to expand manufacturing site

Animal health company Zoetis is expanding its manufacturing operations in Melbourne, Victoria.

Star Scientific heats up the hydrogen energy transition

30 April 2024

Star Scientific believes its HERO technology can unlock clean, carbon-free heat for industry and communities.

Rux Energy’s nanomaterial technology tackles hydrogen storage

29 April 2024

Rux Energy’s new technology makes it easier to store and transport hydrogen.

Toyota to deliver first locally made hydrogen generator to Thiess

16 April 2024

Toyota Australia will deliver its first hydrogen fuel cell stationary power generator assembled in Australia to mining giant Thiess.

Metis Energy to develop 111 MW solar farm in Australia

10 April 2024

Singapore’s Metis Energy will develop the 111 MW Gunsynd Solar Farm in Queensland.

European Energy signs major green PPA with Rio Tinto

9 April 2024

European Energy signs one of Australia’s largest green power purchase agreements with Rio Tinto.

Japan’s Idemitsu invests in Australian biofuels company

3 April 2024

Japanese energy conglomerate Idemitsu Kosan has invested in Australian biofuels company Jet Zero.

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Estudo de caso da HyperAccel

A HyperAccel utiliza a placa aceleradora AMD e FPGAs para o novo servidor de AI Inference

A placa aceleradora AMD Alveo™ U55C e os FPGAs AMD Virtex™ UltraScale+™ ajudam os servidores Orion da HyperAccel a acelerar modelos de linguagem grande baseados em transformadores

Entre em contato com um especialista em negócios e descubra o que a AMD pode fazer por você.

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