Cloud computing adoption has been linked to “digital transformation,” a term encompassing the shift from traditional modes of consuming and administrating IT services to the new on-demand model, punctuated by the hiring and reshaping of IT staff around working cloud services, shifting to DevOps methods, or otherwise changing their business operations model in order to maintain or improve a competitive position in the market.
One major piece of digital transformation and cloud adoption is the use of multiple cloud service providers depending on the workload at hand. This mode of cloud computing is now one of the leading deployment types — and could be considered a sibling, or even the same thing, as hybrid cloud.
A recent survey from VMware and the MIT Technology Review classifies three stages on the way to a successful multicloud deployment. Where is your organization on this path towards hybrid cloud enlightenment?
Moving to the cloud, changing service providers, upgrading your host hardware, consolidating data centers, or switching to new software — they all might necessitate a database migration.
Moving a database is not a task to be taken lightly, but it can lead to more centralized and efficient management, lower storage costs, and/or reduced license requirements. To minimize your risk and downtime, follow these database migration tips.
When your monitoring systems start sending a deluge of alerts or your servers suddenly stop responding, it’s easy to go into crisis mode. That’s why Step One of this guide to troubleshooting is to remain calm. Let common sense prevail, be sure to maintain your documentation, and get down to the art of troubleshooting your IT systems. Just follow these eight general guidelines to pinpoint the issue and take steps towards remediation.
The holidays are looming, meaning many DevOps teams are about to have their apps take a beating as hundreds of holiday orders and new device users slam them all at the same time. Whether or not your systems are consumer-focused, there will eventually come a time when the overall load on your servers is pushed to the limit.
Load testing applications in the cloud allows development and testing staff to perform scale testing to see at what point virtual machines need to scale, when to add additional resources like storage or bandwidth, and when a failover solution might be necessary.
By thoroughly performing load tests throughout the DevOps process, your organization eventually lowers costs and your team doesn’t have to scramble during a major event. Here are some best practices when performing cloud-based load testing.
As you may have heard, Green House Data has completed our second acquisition of 2017 with the purchase of Ajubeo, a Denver-based cloud hosting provider. While more cloud resources are always beneficial to a nationwide cloud platform, some people might be left scratching their heads — after all, we have our headquarters just 100 miles north of Denver in Cheyenne, Wyoming. So what advantages are to be had from adding a Denver cloud node?