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Multi-Site Orchestration, Breaking the Next Frontier of Enterprise Kubernetes Adoption

While multi-site Kubernetes orchestration has numerous benefits, all of which have the potential to translate into a significant competitive edge, it still largely remains elusive — at least in the vendor space. The reason? Well, multi-site configuration is hard and, since during the first adoption wave, the focus was mainly on one cloud (most enterprises start with simple projects), there wasn’t a real need for it.

Using the 'Run a Child Flow' Action to Call Nested Flows

Calling a flow from another flow is nothing new. Makers can wire up multiple flows using the HTTP Request Trigger and HTTP Action. While this is possible, it creates additional friction as makers have to manually construct request and response messages using JSON. Microsoft recently provided first-class support for calling a flow from another flow by introducing a new action called Run a Child Flow.

App Journey to be Cloud Native - Automated!

Yes, you read it right! The journey of existing apps on-prem to cloud-native has been automated with the use of CloudHedge.io. Allow me to share different steps taken for automation and which scenarios are a better fit. If you have 100s and 1000s of applications and are looking to assess them for cloud readiness, it can be overwhelming! The mix of applications, the infra, the network, and the geographic spread does make the effort of assessment overwhelming.

Make your monitors nearly real-time

Most of existing IPHost monitor types are passive, meaning they are being polled by IPHost – directly, or via remote network agent. There are two “active” monitors, that perform “Event” type alert, when receiving data from remote host: Syslog monitor and SNMP Generic Trap monitor. Although it’s not possible to transform all possible passive monitors to active, there are several approaches to make monitoring nearly real-time in certain situations.

How to Monitor Redshift Logs with Sumo Logic

In the second installment of our Amazon Redshift series, we covered the different ways you can monitor the performance and disk space of your Redshift servers using tools in AWS. In this final post, we will discuss how you can take your monitoring and logging efforts up a couple of notches by using Sumo Logic with Amazon Redshift.