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Elastic Security empowers analysts to collect data from multiple data source integrations, perform traditional SIEM functions, and take advantage of machine learning-based malware protection on the endpoint. Analysts can filter, group, and visualize data in real-time while performing automated threat detection across various security events and information. In this video, you’ll learn about the components that make up Elastic Security and what those components do to help you protect your data.

Pavel Kruhlei, Quality Engineer lead of New10 talks about how Datadog allowed them to resolve performance issues in their serverless applications, as well as increase visibility into their hybrid environment with Datadog.

-One of the key characteristics of serverless components is the pay-per-use pricing model. For example, with AWS Lambda, you don’t pay for the uptime of the underlying infrastructure but just the number of invocations and how long your code actually runs. This removes the need for many micro-optimizations. As a result, many applications would run at a fraction of the cost if they were moved to serverless.

The latest cloud security news from top security professionals.

Learn how you can better manager your vendor risk with ServiceNow Vendor Risk Management and BitSight Security Ratings.

In this video we demonstrate how to setup MicroK8s within Gitlab to build and deploy container applications.

How to utilize observability to optimize your Lambdas for scale and maintain their performance over time - from development to production to scabability. How do you spot potentially slow-running Lambda functions and how do to power-tune them in development? Load testing and how you need a good observability tool for when you do load testing? How to do load testing? How to use observability and make crucial data available in production and at scale? Observability best practices and common mistakes.