Operations | Monitoring | ITSM | DevOps | Cloud

Chaos Engineering was conceived as a direct response to the complexity and nondeterministic nature of cloud-based applications. Thoughtful fault injection closes the gap between traditional testing methodologies and modern approaches to software engineering like microservices, continuous delivery, and DevOps.

Today, the AWS Lambda platform has added a new arrow to its quiver – the ability to integrate with Amazon Elastic File System (EFS) natively. Until now, a Lambda function was limited to 512MB of /tmp directory storage. While this is sufficient for most use cases, it’s often prohibitive for use cases such as Machine Learning, as Tensorflow models are often GBs in size and cannot fit into the limited /tmp storage.

The blessing and curse of cloud computing is flexibility. Now more than ever, companies leveraging the cloud are being revered for their ability to scale up usage of critical applications remotely for employees working from home, while in the same breath lambasted as IT costs sky-rocket. And in the midst of soaring usage, capacity, and cost come budget-cuts to fend off any other necessary evils during this challenging time.

There are many challenges that engineering teams face when attempting to incorporate a multi-cloud approach into their infrastructure goals. Kubernetes does a good job of addressing some of these issues, but managing the communication of clusters that span multiple cloud providers in multiple regions can become a daunting task for teams. Often this requires complex VPNs and special firewall rules to multi-cloud cluster communication.

Most of the IT industry is floating on the cloud these days. From hosting websites to storing data, organizations have started to use the cloud for various purposes, so why not for log monitoring? In this blog, I’ll explain how cloud-based log monitoring is beneficial for you and how you can use SolarWinds® Papertrail™ for it.

Serverless computing has taken off in recent years with more efficient cloud services. AWS Lambda is a great example of this, where provisioning and management of resources happens from the service’s end. You only have to deal with the code. This article will give a brief overview of AWS Lambda in contrast to EC2 instances, then walk through shipping AWS Lambda metrics to Logz.io.

Earlier this year, we added a Dashboard API to Cloud Monitoring, allowing you to manage custom dashboards and charts programmatically, in addition to managing them with the Google Cloud Console. Since then, you’ve asked us to provide more sample dashboard templates that target specific Google Cloud services. Many of you have also asked us to provide a Terraform module to help you set up an automated deployment process.

In this write-up of our special webinar, we'll give you an insider’s look into how we took control of our Azure costs, and how you can do the same. We’ll take you through how we identified the problems and implemented lasting solutions to keep things under control. You’ll get to hear from our key stakeholders involved - Finance, Management, IT, Engineering.