Operations | Monitoring | ITSM | DevOps | Cloud

Azure storage has provided companies with a way to store almost limitless amount of data. But just like kids in a candy store this can get out of hand, and expensive. Being able to store as much data as you want is great, however it is something that can grow to a point where you are spending more on storage than you actually need.

Share When it comes to serverless applications, their distributed nature of exponential scalability and use of potentially thousands of resources automatically begs the need for observability. Using the mass data output of an application to understand and optimize the internal states is a game-changing strategy, but only if used well. Dashbird Atlas takes serverless observability to a new level, reducing excessive noise through simple visualization of your application.

Developers at Airbnb, BBC, Netflix, and Nike all share something in common: They’re using serverless computing to ship new products and features faster than ever. And they represent a growing trend. As businesses compete to quickly deliver customer value, a whopping 60% of enterprises have already adopted, or are planning to use, serverless architectures.

Enterprises have relied on public cloud providers to shift and transform their legacy workloads using hyperscale infrastructure, but it is vital to ensure that business-critical services are running optimally. Cloud events help developers and operators understand how their workloads hosted on different cloud services are performing at any given time.

If you’re using AWS Kinesis in your application, you’ll want to monitor your Kinesis streams to make sure they are healthy and that your producers and consumers are interacting with them correctly. CloudWatch exposes many metrics that can help you determine the health of your Kinesis streams, but it can be a pain to set up. In this post, we’ll discuss the metrics that are most helpful, how to get CloudWatch up and monitoring your Kinesis streams, plus an easier alternative.

Companies are facing major difficulties as a result of the challenges posed by COVID-19, and many professionals cite automation as a key solution to business survival. However, when considering using automation to transform your service management, you need to consider how you leverage Cherwell Service Requests in partnership with automation to achieve the “holy grail” of service request automation.

A few weeks ago, my good friend Josh Cook wrote a blog post for Power Automate about getting the error message when implementing the try/catch pattern with a Flow. We discussed if this could be used with Logic Apps, and Josh confirmed that it could, even though the Logic App documentation doesn’t cover it very well. Josh’s original Flow post is- Grabbing an error message from a failed run.

Not that system monitoring has much to do with NY Fashion Week or the most avant-garde venues in London’s Soho, but they share the yearning for something new, something fruitful and original. And since we are also some kind of modern hipsters obsessed with everything cool and trendy, today we will try to review some of those new trends in monitoring, the most recent news that affect our field.