Rancher Rodeos are great events for learning Kubernetes and Rancher beginner-level concepts, with attendees gaining just the right amount of knowledge to get started with provisioning Kubernetes clusters and launching applications. I present frequently at Rodeos, and the scene typically unfolds like this: together with attendees, we are walking through Rancher features, and usually as we’re experimenting with Monitoring, Alerting, and Logging, I see the wheels start turning in their heads.
With current advertisement pricing you probably wish to be sure about its efficiency. Therefore, when running campaing the one who orders it wants to know for sure that nothing will interrupt it. But in real life, even the most reliable web sites sometimes fail. So the question is: how not to lose money when it happens? Let's check what are the pitfalls and how can we solve this problem with HostTracker website availability service. Should we trust Google? Well, we know about the problem. What's next?
Organizations depend on fully functioning IT systems and processes to attract customers, deliver services and manage internal operations. The operation of these systems and processes directly impacts the business and reputation of each organization. Ensuring that all IT systems and processes are fully functional 24×7 is a key component of any organization’s IT performance management strategy. This is where synthetic monitoring comes in.
Many clients have asked me, “When do I use DynamoDB streams vs Kinesis?” It’s a great question, since both services are very similar, especially when you process their records with Lambda functions. So let’s break it down and look at the key differences between Kinesis and DynamoDB streams. When it comes to streaming and processing real-time events on AWS, Kinesis is the de facto solution in AWS.
Going on call and being awakened at a moment’s notice to put out fires when reputation and revenue are on the line is incredibly stressful. And with DevOps teams under increasing pressure to simultaneously release new products faster while ensuring reliability and quality, burnout is a rapidly growing problem. It’s why #HugOps and empathy are becoming so central to the culture of DevOps.
