Name: FinOps for Engineers: Ensure Performance While Managing Cloud Costs
Start: 2022-09-28T15:00:00Z
End: 2022-09-28T15:00:38.000Z
Location: BrightTALK
Rating: 0

Densify software enables organizations to automate rightsizing and autoscaling of cloud and container infrastructure. Our patented predictive analytics remove the guesswork from optimizing cloud and Kubernetes environments by precisely identifying the optimal resources for each workload.

Working with Intel we recently launched a program for larger scale cloud spenders that combines Densify analytics software and Intel expert guidance to help match customer workloads with the cloud instances that enable the best performance at the lowest possible cost. 

At Intel Vision 2022, we won “Intel Partner of the year for Software Innovation”. This award recognizes the impact of our jointly developed offering: Intel Cloud Optimizer (ICO).

Leading enterprises and service providers use Densify as a foundation to drastically lower infrastructure costs, and at the same time, reduce risk and deliver better performance for their businesses.

Watch this 20-min session to hear Densify’s experts discuss their findings from the field and walk through the 5 key requirements of ITSM integration for resource optimization:

1. Be precise (give an exact answer, not just vague guidance)
2. Show your work (app owner report)
3. Avoid ticket storms (and back off if needed)
4. Incorporate feedback (policy tuning)
5. Track actual changes (and give attribution!)

ITSM Integration in Cloud & Container Resource Optimization

Enterprises can take control of their spiraling cloud costs. In this session we explore how enterprises can identify key opportunities to improve both performance and utilization, and in turn, cost. Using real case studies and calling on experience and results from previous client projects, we cover:
1. How to achieve public cloud cost savings in the region of *30 to 60% – *numbers taken from real projects at NTT DATA/Densify clients
2. How to deliver actual change which maximizes cost savings, improves application performance and reduces risk through a combination of powerful analytics, automation, and comprehensive services
3. How to get started on true cloud optimization leveraging a proven framework and toolset

Cloud Cost Optimization with NTT DATA & Densify

Diagnose & Resolve Risks to Cost & Performance in K8s

What’s putting your K8s workloads at risk? You probably didn’t immediately think of memory and CPU resources—yet, these pose significant threats to cost and performance in your public cloud Kubernetes and OpenShift deployments.

Learn about the top 12 K8s risks and how you can visualize the spread of risk in your containers deployment. You'll also hear a methodology for drilling down to individual misconfigurations and resolving them.

The 12 Kubernetes Resource Risks

Intel Cloud Optimizer (ICO), powered by Densify, the market leading resource optimization analytics engine, will tell you if there are immediate and truly actionable opportunities to reduce costly excess resources safely to immediately cut cloud related burn.

For qualifying enterprises (based on $2M+ annual cloud spend) Intel funds the cost of advanced analytics software and expert assistance from both Densify and Intel cloud architects.

Contact us at: inteloptimizer@densify.com 
Learn more and schedule a 1:1 demo at: https://www.densify.com/product/demo

Cut your Cloud Burn with Intel and Densify

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

Watch and see how your organization can exponentially increase the results of your FinOps strategy.

FinOps Tools: Supercharge Your Investment with Optimization

Azure offers a dizzying array of instance types and features. The naming conventions do little to help understand the features inside, so how do you match your workloads to the optimal instance types. Intel and Densify demystify your choices. In this 20-min session we cover:

1. Strategies for removing the guesswork, improving performance and reducing costs
2. How to look beyond the naming conventions
3. The powerful hardware features available inside Azure Instance Types
4. Potholes you need to avoid

Optimizing Azure Instance Types with Intel and Densify

Optimize Your K8s Environment
Does your K8s deployment process include ensuring resource specifications are set for containers? Because request and limit values can be difficult to determine, organizations can sometimes leave them unspecified, which can create downstream operational issues.

Many believe that K8s will magically take care of making things work, but if it doesn’t know what a container is going to do then the scheduling can be impacted, potentially having dire consequences.

Join us on October 19th to understand the dangers of unspecified K8s resources and the optimal solution. We will cover:
1. What happens when container CPU and Memory requests are not specified
2. What happens when limits are not specified, and the risks to stability this can cause
3. How to relieve Developers from needing to think about this by integrating analytics into the DevOps processes

We also cover how Densify can help you strategically and automatically map your workloads to the latest Intel offerings to take advantage of performance and cost improvements. Qualifying organizations can even get their use of Densify completely funded by Intel.

You don't want to miss this session. Don’t delay—register now!

The Dangers of Unspecified Kubernetes Resources

Optimize Your K8s Environment
Does your K8s deployment process include ensuring resource specifications are set for containers? Because request and limit values can be difficult to determine, organizations can sometimes leave them unspecified, which can create downstream operational issues.

Many believe that K8s will magically take care of making things work, but if it doesn’t know what a container is going to do then the scheduling can be impacted, potentially having dire consequences.

We will cover the dangers of unspecified K8s resources and the optimal solution, including:
1. What happens when container CPU and Memory requests are not specified
2. What happens when limits are not specified, and the risks to stability this can cause
3. How to relieve Developers from needing to think about this by integrating analytics into the DevOps processes

We also cover how Densify can help you strategically and automatically map your workloads to the latest Intel offerings to take advantage of performance and cost improvements. Qualifying organizations can even get their use of Densify completely funded by Intel.

Engineering job #1 is maximizing availability and performance. Engineering must proactively balance workload and service delivery with finding efficiencies and ensuring optimal cloud spend.The only way for engineers to tackle FinOps is to embed more awareness of capacity and cost into their operational processes. 

Watch and learn:
1. The basics of CapOps—capacity operations—science and processes that deliver just the right infrastructure to meet application requirements, at the lowest cost
2. How you to improve DevOps practices to drive efficient use of cloud resources without disrupting development and delivery (CI/CD) lifecycles
3. Actions you can take today to enable better capacity and cost management through FinOps Foundation training and trialing the Densify optimizer

FinOps for Engineers: Ensure Performance While Managing Cloud Costs

FinOps

Cloud

Cloud Analytics

Analytics

Resource Optimization

Azure

Kubernetes

DevOps

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FinOps for Engineers: Ensure Performance While Managing Cloud Costs

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