I’d like for you to think of your favorite app that you use almost every day. What do you use it for and why? Next, I’d like for you to think of the last time the app had a major design change that made you think, “What was the company thinking? Why would they change something that worked perfectly fine and make it so unusable? Did they not consult actual users before making this change?”
Hey there. Welcome to the fifth and final installment in our series on successfully deploying an app to AWS with the least effort. This week, we'll discuss things you need to worry about now that you've released, plus optimizing your app. Ok, so you've released your app. Congrats! However, we both know your work doesn't end here. You should continue improving your app, both on the end-user side and the back end.
Today we launched the Rancher Academy, our new free training portal. The first course is Certified Rancher Operator: Level 1, and in it you’ll learn exactly how to deploy Rancher and use it to deploy and manage Kubernetes clusters. This professional certification program is designed to help Kubernetes practitioners demonstrate their knowledge and competence with Kubernetes and Rancher – and to advance in their careers.
Elasticsearch and MongoDb are the two most popular distributed datastores used to manage NoSQL data. Both of these technologies are highly scalable and have document-oriented design at the core. There are differences between the two technologies, however, and it’s important to understand these differences in order to choose the right one for your use case. This blog post will examine the differences between these two technologies in a number of critical areas.
Alerts are an essential part of performance monitoring. Alerts and notifications need to be sent out as soon as an issue is identified, allowing you to know about any problems before your customers do. In this week’s Tip Tuesday, we look at building an effective alert strategy and how to utilize Catchpoint Alerts so that you can quickly and effectively leverage the information provided to take carefully targeted action and improve your MTTR. Building an effective alert strategy is important.
When we started the development of Icinga 2 we had a clear picture. We wanted a great monitoring solution for small and large environments. Back then, we imagined Icinga 2 to be a scalable monitoring tool with a dynamic configuration, enriched with a slight and fast web interface. In fact, there were some more details to that. But let’s keep it short. We worked hard to achieve our goals.
With over 75 million daily active users, it’s safe to say Microsoft Teams is essential to many global businesses. On top of that, Microsoft CEO Satya Nadella recently shared that Microsoft saw 200 million meeting participants in a single day this month. While Microsoft Teams’ explosive growth can be tied to recent spikes in remote work, many enterprises have relied on Teams to connect people across the globe for quite some time.
Last year we announced an expanded partnership with Google to bring Elasticsearch Service to even more Google Cloud users. We were also named one of Google Cloud's partners of the year! We've since deepened our partnership, and today we are proud to announce new ways to purchase and discover Elasticsearch Service in the Google Cloud Marketplace. You can now purchase monthly Gold and Platinum subscriptions as well as Standard, Gold, and Platinum annual subscriptions through the marketplace.
Jaeger is a popular distributed tracing project hosted by the Cloud Native Computing Foundation (CNCF). In the Elastic APM 7.6.0 release we added support for ingesting Jaeger traces directly into the Elastic Stack. Elasticsearch has long been a primary storage backend for Jaeger. Due to its fast search capabilities and horizontal scalability, Elasticsearch makes an excellent choice for storing and searching trace data, along with other observability data such as logs, metrics, and uptime data.
