Operations | Monitoring | ITSM | DevOps | Cloud

If you are deploying Kubernetes on-premises in your datacenter, you won't want to miss this talk and demo. The first thing you're thinking about might not be networking, but without some knowledge of the networking decisions you'll need to make, and what the right option is given your environment, you're likely to get stuck or make the wrong assumptions that may limit your ability to scale or integrate with the rest of the datacenter network.

Early on in building out a CaaS/Kubernetes platform, most users encounter the need for troubleshooting and observability as more tenants and applications are migrated to the platform. While development teams and service owners often understand the microservices which they are deploying to Kubernetes, it's often difficult to get a complete view of dependencies and how all the services are communicating with each other across a cluster. Kube-native and network-first approach to observability result in a faster time to resolution for troubleshooting and analysis.

By default, pods are not isolated. This means that malicious actors once inside may wander freely throughout your kubernetes cluster. During this session we'll discuss the different attack vectors and how to mitigate.

This webinar provides a strong foundation for getting started with Elastic Cloud (Elasticsearch managed service) on Microsoft Azure. Learn how to deploy and manage Elasticsearch clusters, migrate an on-prem cluster to Azure, and use your deployment to monitor Azure services with out-of-the-box integrations.

Unsupervised machine learning (ML) is a core capability for most security operations teams looking to implement an advanced threat detection or insider threat program. However, the deployment of ML can present adoption challenges for security teams. Unless they have in-house data scientists to develop and tune threat models and skilled threat hunters to investigate alerts and manually follow up on interpreting anomalous behaviors, teams may find themselves struggling to gain useful insights and operational value out of ML tools.

As your organization moves to the cloud, it's important to understand the impact of data management and retention on your bottom line. But optimizing your cloud deployment isn't just about reducing costs - it can also have a positive impact on function. Whether you're using Elastic Cloud for the first time or scaling a current deployment, learn tactics that you and your team can employ to optimize the flow and retention of data within your Elastic Cloud deployment, and which features in Elastic Cloud can provide additional benefits.

Spend an hour with us to learn about the new and cool features of the JFrog platform. End to End platform Distribution Pipelines

Spend an hour with us to learn about the new and cool features of the JFrog platform. Artifactory Xray

Digital transformation for telecoms includes moving to 5G, edge services and applications as well as being challenged more than ever with delivering reliable services to customers in areas outside of the traditional business centers and corporate locations. Operational excellence that is data driven is an engine for digital transformation. Telecoms are transforming to meet changing needs of their customers including how they provide services across disparate platforms. Telecoms must deploy a scalable data analytics architecture across their operations to realize this digital transformation.