Scaling Kubernetes with Splunk and AWS

According to Gartner, more than 85% of organizations will be running containerized applications in Kubernetes by 2025.

The market adoption of containers and Kubernetes has crossed the chasm of early adopters into more mainstream use cases. As you move beyond dev/test to roll out Kubernetes across your organization in production, you’ll find that while Kubernetes provides the agility for development teams, it also introduces operational complexity and monitoring challenges.

Join industry experts from Splunk and Amazon Web Services (AWS) as they discuss how to efficiently scale Kubernetes applications with Amazon Elastic Kubernetes Service (EKS) and how to gain observability into your entire Kubernetes environment with Splunk — no matter where you choose to deploy Kubernetes clusters; on the AWS Cloud or on-premises.

Watch this webinar, Scaling Kubernetes with Splunk and AWS, and learn about:

  • Challenges in operating distributed cloud-native environments such as Kubernetes
  • Key considerations in choosing Kubernetes platform – on Amazon Elastic Compute Cloud (EC2), serverless deployments using AWS Fargate or on-premises using Amazon EKS Distro (EKS-D)
  • Real-time monitoring and troubleshooting strategies for Kubernetes deployments
  • Demo covering monitoring and investigation of real-world performance issues with Splunk

Speaker bios:

Amit Sharma, Director of Product Marketing, Observability at Splunk – Amit Sharma is the Director of Product Marketing at Splunk. He has over twelve years of experience in software development, product management, and product marketing. Before joining Splunk, Amit led product marketing at SignalFx, AppDynamics, and Cisco. He did his MSCE from Arizona State University and an MBA from UC Berkeley Haas School of Business.

Igor Alekseev, Data & Analytics Partner SA at Amazon Web Services (AWS) – Igor Alekseev is a Partner Solution Architect at AWS in Data and Analytics domain. In his role Igor is working with strategic partners helping them build complex, AWS-optimized architectures. Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation. Igor’s projects were in variety of industries including communications, finance, public safety, manufacturing, and healthcare. Earlier, Igor worked as full stack engineer/tech lead.

    Please complete the form below to access this research:

    Business E-mail Address

    First Name

    Last Name

    Company

    Job Level

    Job Title

    Job Role

    Company Size

    Industry

    Address

    City

    State/Province

    Zip / Postal Code

    Country

    Business Phone Number

    Company Revenue

    I agree to receive marketing communications by email, including educational materials, product and company announcements, and community event information, from Splunk Inc. and its Subsidiaries pursuant to the terms of Splunk’s Privacy Policy. I can unsubscribe at any time.
    Yes, I agree that Splunk may contact me.

    Your privacy is a top concern for us at Knowledge Hub Media. We’ll only use your personal information to provide you with the content, products and/or services you’ve requested from us. By entering your contact information and clicking on the “submit” button below, you are confirming that you have carefully read Knowledge Hub Media’s Terms of Use agreement, and Privacy Policy, and agree to be legally bound by all such terms.

    Yes, I agree to the Terms of Use Agreement.

    Yes, I agree to the Privacy Policy.

    The third party vendor sponsoring this content may wish to contact you regarding products and/or services as they relate to this white paper/research. Please check the appropriate boxes below, indicating the ways in which you would like to receive communication from our third party affiliates:

    Yes, I would like to receive communication by email.Yes, I would like to receive communication by telephone.Yes, I would like to receive communication by postal mail.

    Knowledge Hub Media would also like to keep in touch regarding related content, white papers, business/technology research and upcoming events in your area of expertise. Please check the appropriate boxes below to opt-in:

    Yes, Knowledge Hub Media may contact me via email.Yes, Knowledge Hub Media may contact me via telephone.Yes, Knowledge Hub Media may contact me via postal mail.

    You can easily change your communication and consent preferences at any time. Opt-out of receiving communication from Knowledge Hub Media and/or our third party affiliates by easily updating your personally identifiable data and contact preferences here: Update Communication Preferences

    Leave a Comment

    This site uses Akismet to reduce spam. Learn how your comment data is processed.