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Latest Videos

Cloud Native Telco Evolution: From Virtualized to Containerized Network Functions

From purpose-built hardware to virtual machines and now containers, service providers and telcos are re-thinking how they deploy and deliver cloud and network services. These service providers are on a journey to break down their monolithic stacks into small, reusable components that are consistent with a micro-services architecture.

Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.

Getting Started with Free Elasticsearch Security Features

Elasticsearch Security: learn how to easily add new users, create roles, and set privileges using the Elastic Stack (6.8/7.1+). You'll create a 2 node Elasticsearch cluster, configure TLS communication between the nodes, and have a Kibana instance talking to the cluster to analyze the data.

Observability Through The Development Lifecycle

In this interview with Honeycomb Software Engineer, Ben Hartshorne, we get a to see and hear valuable insights on why observability, distributed tracing and Honeycomb help engineers gain great understanding on how software behaves in all stages of development. Ben will tell you how he builds software, instruments his code and uses Honeycomb to constantly update the “mental model” of how software really works.

Extend Your Operational Analytics Beyond IT and Improve Your Business Outcomes

Operational analytics is of vital importance to IT organizations today. With complex hybrid infrastructures and dynamic workloads commonplace in many businesses, the ability to monitor important metrics like application performance requires a level of automation and analysis that can quickly turn data into useful information for your IT team.