Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

NiCE is introducing a new line of monitoring solutions for Microsoft Azure. The kick-off for the new Azure monitoring solutions will be the NiCE Active 365 Monitor for Azure, a brilliant monitoring set for Microsoft Teams, SharePoint, OneDrive and Office Platform hosted on Microsoft Azure Monitor. Get a sneak preview on how the new NiCE Active 365 Monitor will boost your efficiency in Azure performance and availability monitoring.

About 90% of all Lambda functions monitored by Dashbird on AWS Lambda are running Nodejs and Python runtimes. Is this purely a reflection of the general popularity of these programming languages?

Microsoft Azure has been growing rapidly from the past couple of years and many new advancements have been done to increase the productivity of the users. Microsoft has also been constantly working on different monitoring capabilities to keep the users well informed about the status and availability of their resources. One such resource is the Azure service health which notifies the user about the availability and health status of each resource in different Azure regions.

Lumigo’s System Map is a real-time visualization of your entire application. A bird’s eye view of the whole stack with filters that allow you to drill down into a subset of your infrastructure. Our systems have grown exponentially both in scale and complexity. AWS takes care of scaling automatically, ensuring your application will scale gracefully regardless of the programming language, load, or location.

Since launching in 2014, AWS Lambda has dramatically grown in popularity. Lambda allows you to run code 7without having to manage the underlying compute resources. From a monitoring standpoint, you no longer have the need or ability to observe traditional performance metrics like CPU and memory. That doesn't mean you don't need to keep an eye on other things, though. So what metrics should you monitor for your Lambda functions?

Lumigo’s Transaction Timeline lets you see in a glance the flow of a transaction across its components and the latency caused by each, allowing you to easily identify bottlenecks and issues. Distributed tracing is a popular method for monitoring and profiling transactions in a microservices architecture. It’s what developers use to pinpoint failures, performance drops and other problems.