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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Docker container monitoring with Netdata

Properly monitoring the health and performance of Docker containers is an essential skill for solo developers and large teams alike. As your infrastructure grows in complexity, it’s important to streamline every facet of the performance of your apps/services. Plus, it’s essential that the tools you use to make those performance decisions work across teams, and allow for complex scaling architectures.

Introduction to the Integration Module for Freshservice

The Kelverion Integration Module for Freshservice provides a powerful integration capability for writing Azure Automation runbooks as well as being usable in PowerShell scripts. The Integration Module supports Freshservice SaaS instances with the REST API. Using Kelverion smart discovery the Integration Module interrogates Freshservice and discovers how it has been configured providing a forms based view of the tables, fields, properties and allowed inputs for mandatory and optional fields.

Introduction to the Integration Module for Cherwell

The Kelverion Integration Module for Cherwell provides a powerful integration capability for writing Azure Automation runbooks as well as being usable in PowerShell scripts. The Integration Module supports Cherwell Service Management 9.6.3 or 9.7 Using Kelverion smart discovery the Integration Module interrogates Cherwell and discovers how it has been configured providing a forms based view of the tables, fields, properties and allowed inputs for mandatory and optional fields.

Key metrics for monitoring AWS Lambda

AWS Lambda is a compute service that enables you to build serverless applications without the need to provision or maintain infrastructure resources (e.g., server capacity, network, security patches). AWS Lambda is event driven, meaning it triggers in response to events from other services, such as API calls from Amazon API Gateway or changes to a DynamoDB table.

Tools for collecting AWS Lambda data

In Part 1 of this series, we discussed AWS Lambda functions and some key metrics for monitoring them. In this post, we’ll look at using Amazon’s native tooling to query those metrics. We’ll also show you how to collect logs and traces that provide further visibility into your Lambda functions. Amazon provides built-in monitoring functionality through CloudWatch and X-Ray.

Monitoring AWS Lambda with Datadog

In Part 2 of this series, we looked at how Amazon’s built-in monitoring services can help you get insights into all of your AWS Lambda functions. In this post, we’ll show you how to use Datadog to monitor all of the metrics emitted by Lambda, as well as function logs and performance data, to get a complete picture of your serverless applications. In this post, we will: Datadog integrates with AWS Lambda and other services such as Amazon API Gateway, S3, and DynamoDB.