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Latest Videos

Datadog on Security and Compliance

At Datadog, customer trust and data security are of the utmost importance. As a high growth company, navigating the tradeoffs of security and development agility are especially critical. Our customers expect us to continually improve our platform, while providing a compliant, secure environment for their most critical data. Balance is key to rolling out features rapidly and keeping systems secure.

Civo official launch!

Countdown to our official production launch! We'll be giving you a behind the scenes look at how we build and provision a new CivoStack region - our custom Kubernetes platform based on K3s. Including a specially recorded time-lapse build of our latest location. Featuring an introduction from our CEO Mark Boost, and Director of Innovation Dinesh Majrekar who will run you through our zero-touch region configuration.

Secure container orchestration at the edge

The cloud-native way of building software allows for consistency across developer environments and massive scalability of application deployments. Both these attributes are useful for edge, but create new challenges related to security and resilience. Watch this demo to see how Canonical’s modular technology stack addresses these challenges by using well-known cloud primitives.

AWS Fargate runtime security - Implementing File Integrity Monitoring with Sysdig

Thanks to serverless you can focus on your apps, instead of your infrastructure. Take AWS Fargate as an example. A service where you can deploy containers as Tasks, without worrying what physical machine they run on. However, without access to the host How can you detect suspicious activity? Like, file changes on your Fargate tasks? Sysdig provides runtime detection and response to secure Fargate serverless containers.

Datadog Live Containers - Kubernetes Resources

Datadog Live Containers provides multidimensional, real-time visibility into Kubernetes workloads, from Deployments and ReplicaSets down to individual Containers. Using Datadog's curated metrics, teams can track the health and performance of their Kubernetes resources in the appropriate context and surface critical information about every layer of their Cluster.

Dynamic Service Graph | Tigera - Long

Downtime is expensive and applications are a challenge to troubleshoot across a dynamic, distributed environment consisting of Kubernetes clusters. While development teams and service owners typically understand the microservices they are deploying, it’s often difficult to get a complete, shared view of dependencies and how all the services are communicating with each other across a cluster. Limited observability makes it extremely difficult to troubleshoot end-to-end connectivity issues which can impact application deployment.