As you move beyond dev/test to roll out Kubernetes across your organization in production, you’ll find that while Kubernetes provides agility for development teams, it also introduces operational complexity and monitoring challenges. In this session, experts from Splunk and Amazon Web Services (AWS) will present how to efficiently scale Kubernetes applications with Amazon Elastic Kubernetes Service (EKS). You’ll also learn how to gain observability into your entire Kubernetes environment with Splunk, no matter where you choose to deploy Kubernetes clusters – cloud-native on AWS, hybrid cloud or on-premises.

Join this webinar to learn about:

Challenges in operating distributed cloud-native environments such as Kubernetes
Key considerations when choosing a 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

Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people.

In this latest Data Science Central webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business.

Watch this recorded webcast to learn:
What are the foundational roles within a modern dataops team and how to align skill sets to these roles
Where does technology fit – how do the different roles interact with the various components of a modern analytics platform
How to establish processes that optimize for speed and scale while also ensuring proper security and governance

Featured Speakers:
Michele Goetz, Principal Analyst – Forrester
WIll Davis, Director of Product Marketing – Trifacta

Hosted by:
Bill Vorhies, Editorial Director – Data Science Central

We’ve crunched the numbers and ready to share some really cool insights on what drives and predicts high performance across teams. We reviewed both maturity (qualitative) and performance (quantitative) data across 4616 Agile Teams to learn “what drives higher performance?“. We’ll explore the power of using the new Scaled Agile Metrics guidance to measure Competence, Flow, Outcomes and get a holistic view of how your teams and organization is doing. If you’ve been adopting Agile practices for several years or if you’re completely new, this session will give you real world tips to accelerate the maturity of your teams using actionable insights on what you should focus on.

Website: https://agilityhealthradar.com/

Agility is a buzz word that can be interpreted to mean different things to different people. In this session, Ravi Verma, Nagesh Sharma and Steve Tallent explore some of these questions together:
-How might we create alignment and clarity around what agility means to our business?
-How might we start quantifying and measuring it?
What approach might guide our enablement?
-Where do we get started?
-How do we measure, learn and course correct as we go along?