Operations | Monitoring | ITSM | DevOps | Cloud

This article will cover how the health of your serverless application can be measured and improved. Technology and its implementation methodology evolve with time very rapidly. Cost efficiency and productivity are the key drivers of technological evolution these days. With the advent of the cloud, infrastructure costs have been brought down significantly. Serverless technology adds icing to the cake!

The question that people who don’t know us constantly ask, “What does Upsun do, exactly?” Our new overview video aims to answer just that. We took a five-step approach to ensure our message was both clear and succinct: We hope that this video addresses the question about what Upsun does and inspires you to use the same five-step framework when you’re tasked with explaining a difficult concept.

Over the past decade, businesses have flocked to the public cloud, with the promise of faster innovation, improved scalability — and of course, cost savings. Yet for many companies, the reality of cloud migration has been a different story. CFOs are blindsided by high costs and uncontrolled spending. Meanwhile, engineering teams struggle to justify and explain their spend — often frustrated that finance doesn’t understand, even when spend is growing healthily along with the business.

I’m sure most of us have heard this saying before, and if you are in the DevOps space, I’m sure this is a scenario that you deal with daily. Most of us started even before we even had all these nice terms, such as DevOps, SREs, DevSecOps, and so many others, when we were all Sys Admins.

Stanza is a robust log agent. GCP users can use Stanza for ingesting large volumes of log data. Before we dive into the configuration steps, here’s a matrix detailing the functional differences between all the common log agents used by GCP users. Stanza was built as a modernized version of FluentD, Fluentbit, and Logstash. GCP users now have the ability to install Stanza to their VMs/ GKE clusters to ingest logs and route them to GCP log explorer.

In the real world, when we implement systems, there are often many kinds of users, such as super business users and some level 1 support technicians who understand the application domain and can support a lot of your applications. Still, due to limited skills and experience with Azure, they are constrained to how much of the application they can help. A great example of this is when you have a solution that uses Azure Service Bus.

Observability is a measure of how well the internal state of a system can be inferred from its external outputs. It helps us understand what is happening in our application and troubleshoot problems when they arise. It’s an essential part of running production workloads and providing a reliable service that attracts and retains satisfied customers.

Amazon Elastic Kubernetes Service, or EKS, is a managed Kubernetes service. That means that Amazon Web Services (AWS) handles some of the deployment and management tasks for users. But the fact that EKS is a managed service doesn’t mean that AWS manages all administrative tasks. One key management task that isn’t fully covered as part of EKS is monitoring.

A plethora of surveys has shown that there is significant growth in the digital data that enterprises generate every day and it is becoming difficult for traditional on-premise systems to cope up with the enormous amounts of data. Also, the old methods require huge capital and resources. Therefore, Cloud-based Data Warehouses are taking the place of traditional ones to collect, store and analyze data coming from multiple sources.