Inefficient Kubernetes and application configurations result in millions of dollars in wasted cloud resources, business-impacting performance and availability issues, and thousands of hours of lost productivity every year.

StormForge combines enterprise-grade performance testing with patent-pending machine learning to automatically find the optimal configurations for your applications, saving time and money while ensuring application performance and resiliency, allowing your organization to accelerate past your competition.

StormForge is the only optimization solution purpose-built for Kubernetes that proactively ensures efficiency at scale by making intelligent business trade-offs between cost and performance without time-consuming, ineffective trial-and-error, and without needing to be a Kubernetes expert.


Cloud infrastructure costs are continuing to rise, reaching unsustainable levels for many organizations. At the same time, teams are being asked to do more with less, making cloud cost optimization a high priority for many organizations in 2023.

For teams running cloud native applications on Kubernetes however, ensuring efficient use of resources is extremely difficult. Teams have to guess at the best resource settings, and then struggle to effectively manage resources at scale.

In this webinar, we’ll demonstrate how to leverage intelligent tools like StormForge and Karpenter to quickly and easily optimize both applications and the infrastructure, providing a double-whammy that can reduce Kubernetes costs by up to 70% while also minimizing the operational overhead for your technical teams.

Tune in to learn about:
- The Kubernetes cost optimization conundrum, and why it’s so hard to solve.
- How horizontal pod autoscaling, vertical pod autoscaling, and cluster autoscaling all must work together to achieve real cloud cost savings.
- Avoiding the pitfalls of simplistic, unintelligent autoscaling approaches to achieve an automatic and continuous approach to optimization.

Kubernetes Cost Optimization with StormForge and Karpenter

Containers have become a popular choice for application deployment, with many companies utilizing Kubernetes, but scaling is not always simple. Right-sizing Kubernetes applications presents significant challenges for IT teams due to several key factors. The complexity of Kubernetes resource management at scale can leave companies vulnerable to error. When combined with inefficient autoscaling, this results in costly over-provisioning, risk of application performance issues, and time wasted on manual tuning.

Increasingly, DevOps teams are leveraging observability solutions, coupled with machine learning-powered analytics, to drive insights and actionable recommendations. This makes it possible to automatically right-size applications while scaling to meet user demand. Rather than taking an inefficient manual approach, the right combination of tools can drive automated and optimized results.

Join us for an engaging, interactive panel discussion on right-sizing Kubernetes applications. Moderated by analyst firm ESG, this webinar features three companies leading the way in addressing the optimization challenge: AWS, Datadog, and StormForge. 

In this session you’ll learn:
— Why is right-sizing especially difficult for applications running on Kubernetes?
— What is the impact of failing to right-size?
— How to go beyond observability to actionability to dynamically right-size applications.

Mastering Scale: Right-Size Kubernetes Apps with Observability & Actionability

The adoption of Kubernetes has fundamentally changed – and accelerated – how developers build and deploy cloud-native apps. The portability and flexibility of containers has led to an explosion of containerized apps, which reflects the industry’s need for agility and faster time-to-market. But these apps are also complex and tricky to optimize. When pods aren’t properly configured, there’s a potential for considerable waste. In fact, recent studies estimate that nearly 50% of allocated Kubernetes resources go unused.

This inefficiency represents not just an economic tragedy, but an operational one. On top of the huge financial impact, firms are likely to experience major performance and scalability issues, reduced productivity, and product delays – all due to suboptimal Kubernetes resource management. How can we eliminate this baggage and unlock the true potential of Kubernetes? When resources are optimized, organizations will finally be able to eliminate waste and achieve the required  application performance at any scale.

Join us for a webinar moderated by analyst firm ESG and featuring AWS, the leading cloud vendor for Kubernetes, and StormForge, the leading ML-driven optimization platform for Kubernetes. In this lively, interactive discussion, we’ll explore market conditions, Kubernetes technology challenges and the work Amazon EKS and StormForge are doing to address them.

Tune in to learn how organizations can: 
— Reduce waste associated with overprovisioned Kubernetes resources. 
— Improve application performance at any scale 
— Free up engineers and developers to focus on innovation, not app tuning 

Speakers:
Nate Taber, Senior Manager, Product and Advocacy at AWS Kubernetes
Erwin Daria, Director of Technical Alliances at StormForge
Scott Sinclair, Analyst at ESG

Maximizing ROI for Kubernetes Apps with Intelligent Auto-Scaling

Exceed Business Outcomes for Cloud Native Apps while Managing Runaway Cloud Costs

With the explosion of growth in cloud-native and microservices applications, the need to rapidly and efficiently scale and grow business applications becomes incredibly important. The days of standing up a Kubernetes cluster and claiming success are gone.  The ability to make intelligent business decisions and proactively optimize resources using a machine learning powered platform purpose-built for Kubernetes will help accelerate your competitive advantage. 

In fact, 91% of IT professionals believe that their (IT) organization has to move faster than it did three years ago according to Enterprise Strategy Group (ESG), a division of TechTarget, 2021 Data Infrastructure Trends survey. In a different ESG study, a customer states, “Faster development—that’s why Kubernetes is here. StormForge definitely aligns with that overarching philosophy—and complements it.” --  We could not agree more! 

This webinar will provide you with the knowledge to accelerate your business goals by:
  - Eliminating time-consuming manual tuning with machine learning-powered rapid experimentation
  - Delivering developer-ready infrastructure for Kubernetes to ensure dev teams can focus on innovation
  - Overcoming Kubernetes resource and skills gap

All backed by leading industry research provided by ESG. We look forward to sharing this information and providing your business with the data it needs to grow and expand with cloud-native deployment. Sign up today!

Presenters:
Scott Sinclair – Senior Analyst, Infrastructure Modernization, Storage: Storage Systems and Software, ESG
Patrick Tavares – Senior Kubernetes Certified Solutions Architect, StormForge
Erwin Daria – Senior Kubernetes Solution Architect, StormForge

Optimizing Kubernetes Application and Resource Efficiency with Machine Learning

On a dartboard, the triple 20 is the square that gives the most points for a single dart throw, which is why most players always try to hit the triple 20. Of course, developers and engineers also try to get the most out of their applications and infrastructure with the least amount of effort. As with darts, precision and efficiency are key. 

In our webinar ”Triple 20 IT - How to reduce costs on target while increasing speed and quality” you can learn how to efficiently reduce cloud costs with the help of some counterintuitive approaches and the latest advances in machine-learning. 

By attending this webinar, you’ll learn how to:
- Reduce costs and also deliver all features in the backlog on time,
- Stay agile despite cost-cutting pressure,
- Follow counterintuitive approaches instead of wasting time on unhelpful “reduce infrastructure and licensing costs” tips, 
- Automate Kubernetes resource efficiency as you scale to day 2 operations, reducing cloud costs and improving application performance without the trade-offs.

Triple 20 IT: How to reduce costs on target while increasing speed and quality.

Kubernetes

Cloud Computing

Reliability

Performance Testing

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Triple 20 IT: How to reduce costs on target while increasing speed and quality.

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