Operations | Monitoring | ITSM | DevOps | Cloud

A customer of ours reported a limit on number of packets in Amazon’s EC2 instances. According to the report, it didn’t happen on all instance types, and didn’t happen all the time. Also, it was unrelated entirely to bandwidth or MTU. According to the report, packet transmission rates were limited the same as CPU on t2/t3 instances — each instance earns credits which, when exhausted, cause throttling.

Cloud is a big part of Atlassian’s future, and we’re more focused than ever on delivering a great Server to Cloud migration experience. When developing software, there is no better way to test than doing it yourself. So that’s what we did. In an effort to learn more, understand pain points, and make a better experience for our customers, we migrated our whole company’s Jira and Confluence instances to the Atlassian Cloud.

It’s 2021 and 94% of all enterprise IT workloads are running in the public or private cloud. This is the prediction made by Cisco. So, your organisation has a choice – public or private cloud? Or perhaps both? We’ll walk through the pros and cons of each option. But first, a few definitions.

Are you planning a hybrid cloud monitoring strategy? Our checklist walks through six essential steps to success.

Traditionally in white-box monitoring, error reporting has been achieved with third party libraries, that catch and communicate failures to external services and notify developers whenever a problem occurrs. I’m here to argue that for managed services this can be achieved with less effort, no agents and without performance overhead.

When traffic increases, we need to have a way to scale our application to keep up with user demand. With Kubernetes multi-cluster management through Rancher, scaling has never been easier and more efficient. Read here about scaling Kubernetes and the challenges you might be facing when managing a hybrid cloud environment.

Reserved instances are one of those things that, when you first hear about them, you say, “Wow! I could save a lot of money!” And then you start to try and figure out how many you need? What sizes? Which operating systems? In which regions? Should they be convertible? Should I choose a 1-year or 3-year term? All up-front, partial up-front, or no up-front? How much compute am I actually going to need over that term?