Operations | Monitoring | ITSM | DevOps | Cloud

Although AWS sometimes feels like magic, it’s just software that controls capacity and allocation on their previously provisioned hardware. RDS is one of the services that can feel especially magic, because of the general difficulty and drudgery required to set up and manage a production database. In a matter of minutes, anyone can have a production database, complete with replication, automatic failover, backup schedules, and point-in-time recovery.

A few weeks back, eG Innovations collaborated with David Wilkinson and conducted a webinar on the topic “Is Citrix Cloud Enterprise Ready? Best Practices to get the Most Out of Citrix Cloud Deployments.” Citrix Cloud implementations are growing in the industry today, and as organizations begin evaluating their cloud options, Citrix administration teams want to understand how Citrix Cloud will sustain, scale and be supported in lieu of on-premises Citrix deployments.

My career as a software engineer started in 2007 at Purdue University. I was working in the Linux kernel and researching how data was shuffled between the kernel and the user application layers. This was happening in huge clusters of machines that all talked to each other using OpenMPI — how supercomputers, like those at Los Alamos National Labs, operate to perform their enormous calculations around meteorology, physics, chemistry, etc.

Epsagon helps troubleshoot serverless applications. Sentry helps monitor and fix crashes in real time. In this post, Raz Lotan, Software Engineer at Epsagon, uncovers how both tools blend to make the perfect workflow for debugging serverless applications.

Today at Kubecon we announced the availability of IBM Cloud Monitoring with Sysdig. Together, IBM and Sysdig have launched this new offering to provide a fully managed enterprise-grade monitoring service for cloud-native applications on IBM Cloud. If you build, ship, and run applications on IBM Cloud, you now have direct, integrated access to Sysdig Monitor.

A little over a month ago, Jeremy Daly introduced the concept of the #serverless bubble coming out of #ServerlessNYC. In his tweet he said “if you’re in it, a serverless solution seems intuitive. If you’re not, the paradigm shift can seem overwhelming (& unapproachable).”

With the recent panic over the zero-day Kubernetes vulnerability CVE-2018-1002105, Kubernetes administrators are scrambling to ensure their Kubernetes clusters are upgraded to a version that is patched for the vulnerability. As of this writing, the minimum versions that have the patch are 1.10.11, 1.11.5, 1.12.3, and 1.13.0-rc.1.

We read with interest a recent article from CloudBees published in The New Stack: How Culture Will Make or Break Cloud Native DevOps and have seen some highly differing views on where the adoption of DevOps is. The Cloudbees article starts by saying that “Software delivery cycles are becoming faster thanks to DevOps-backed continuous integration/continuous delivery (CI/CD) as production pipelines are increasingly ported to scale with microservices on cloud-native environments.”

AWS Lambda can use stream based services as invocation sources, essentially making your Lambda function a consumer of those streams. Stream sources include Kinesis Streams and DynamoDB streams. When you allow streams to invoke your Lambda function, Lambda will emit a CloudWatch metric called IteratorAge. In this post, we discuss what this metric is and how to fix it if it’s too high.