
Modernizing HackerRank’s Build Release Pipeline and Optimizing AWS Infrastructure
DoiT helps HackerRank optimize their AWS infrastructure and streamline their Build Release cycle while reducing costs via DoiT Flexsave and Spot Scaling
Automatically manage cloud compute for optimized costs and agility
Make sense of spend and chargeback to align with your business
Optimize BigQuery costs with actionable recommendations and usage insights
Maximize AWS Spot savings and minimize disruptions for optimized scaling
Autonomously identify cost spikes early, with zero configuration
Learn how we’re redefining support with our customer reliability engineering
View our live support and customer satisfaction statistics in real-time
Proven solutions to cloud complexity
Ensure your cloud architecture is future-ready and built for success
Identify opportunities to optimize costs and target spend for added value
Harness the potential of big data and analytics to gain a competitive edge
Accelerate your AWS workloads & release pipelines while also increasing automation, monitoring & reliability
Manage the complexity of Kubernetes to enable innovation and scalability
Transform geolocational data into real-world, real-time intelligence
Level-up key data with ML capabilities that accelerate innovation
Realize greater efficiency and innovation with successful cloud migration
Create meaningful business value with a robust multicloud strategy
Center security in your cloud strategy to ensure ongoing efficacy and growth
Build skills and capability across teams with certified, expert-led training
Proud to be an award‒winning multicloud partner to top‒tier cloud providers
Accelerate new customer growth and Marketplace integration on AWS and GCP
Read the latest insights, tips and perspectives from our team of cloud experts
See how we’ve helped thousands of public cloud customers achieve their goals
Discover foundational expertise and future-ready recommendations for the cloud
Tech talks and interactive expert sessions delivered both virtually and in person
See what's new from DoiT in our latest news and announcements
Watch product demos, interviews and more from our cloud experts
Browse our open positions and learn more about what it takes to be a Do’er
Meet the team leading DoiT and our customers on a journey of hypergrowth
Explore our partnerships with leading public cloud providers AWS and Google Cloud
Consumers expect more and more businesses to have video in their products, and streaming platforms like Netflix and TikTok have set the expectation that those video experiences will be seamless and reliable. But video is complex to build, and even harder to scale and maintain.
Mux is video infrastructure that makes it easy for development teams to build video into their products, and do so quickly, reliably, and at global scale. This lets teams focus on what’s most important: building the things that make their business special, while Mux handles the complexity and tedium of video and analytics infrastructure. With Mux, developers can build the video experiences their audiences want, across every type of video: live, on-demand, and real-time.
A great deal of Mux’s infrastructure decisions are driven by the cost effectiveness of various services, regions, and workloads within their multicloud (AWS+GCP) environment. Those decisions are largely controlled by their internal platform team, which provides a Kubernetes interface to the rest of their product engineering team, and manages how that Kubernetes layer is positioned on their different cloud providers.
Naturally, budgetary determinations play a large role in how those various teams are able to spin up and manage their workloads. Mux houses a business operations team that centralizes and analyzes their cloud cost data across the multicloud environment, which means that they need a single source of truth to ensure that they have the full view of their overall cloud spend.
However, when it came to optimizing that spend, Mux Co-Founder and Head of Technology Adam Brown needed additional assistance. The team was purchasing Committed Use Discounts for their GCP workloads and Reserved Instances on AWS, but struggling to manage their usage over terms of the commitments. There were occasions when the team decided to change machine types and had to go through the painful process of converting or selling the outdated reservations, or optimizing backend software and subsequently lowering their compute consumption, thus negating the need for the full capacity that they had purchased.
The time and expertise that would have been required for a fully optimized commitment strategy was too much for the growing company to manage on their own. This led to ad-hoc commitment purchases that failed to provide significant savings, while still draining the team of valuable time that could otherwise be spent improving their technology.
By enabling Flexsave on both their Google Cloud and AWS environments, Mux is now able to enjoy the full benefit of 1-year CUD and Savings Plan discounts, leading to significant cost savings since Q1 2022. The product works alongside the small amount of 3-year commitments that the company still has (thus maximizing their savings) and has eliminated the need for any new commitment purchases.
“We don’t have to worry about perfectly optimizing long-term commitments or ensuring that we fully utilize those commitments.”
This has not only freed up a significant amount of time on the Mux infrastructure team since they no longer have to forecast, track, and manage multiple commitments, but also allows them to effectively optimize their environment without worrying about being overprovisioned afterwards. “We’ve probably reduced our GCP compute utilization by 40 or 50 percent, and had we bought 3-year commits or even 1-year commits, we probably would not be using them effectively. We don’t have to worry about perfectly optimizing long-term commitments or ensuring that we fully utilize those commitments.”
In addition to Flexsave, the aggregate view and analytics provided by the DoiT console is the primary source of information for Mux’s technology and business operations teams. “The data from DoiT is really our key entry point into cloud spend,” says Brown. “We’re using the DoiT API to ingest all of our data from both cloud providers in order to fully understand the spend across cloud providers, as well as how Flexsave is applying it.”
DoiT helps HackerRank optimize their AWS infrastructure and streamline their Build Release cycle while reducing costs via DoiT Flexsave and Spot Scaling
Leveraging DoiT to mature the DevOps practice, improve governance, observability, and security controls for AWS infrastructure
DoiT helps F45 Training streamline their AWS infrastructure with containerization, Infrastructure as Code (IaC) and deployment via an efficient CI/CD pipeline.
From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy — without the costs.
Ready to get started?