Operations | Monitoring | ITSM | DevOps | Cloud

Earlier, before the advent of cloud computing, businesses used to have their data centers. These data centers were expensive to set up and maintain. They required a lot of expertise to manage. As a result, only large enterprises could afford them. However, with cloud computing, even small and medium businesses can now take advantage of this emerging and forward-thinking technology. Data shows that businesses that use cloud technologies tend to grow faster, be more profitable, and generate more jobs.

Amazon CloudWatch provides Log Insights, a feature that can help you: CloudWatch Log Insights uses a proprietary query language with several basic commands. It provides sample queries for common AWS service log types, as well as query auto-completion. Learn more about CloudWatch Log Insights capabilities and how to use them.

I used the first two parts of this series to lay out my case for how and why cloud-based networks can effectively “Trojan horse” costs into your networking spend and highlighted some real-world instances I’ve come across in my career. In the third and final installment of this series, I want to focus on ways you can optimize your personnel and cloud infrastructures to prevent or offset some of these novel costs.

Should you leave the cloud? Is cloud migration reversing? Is cloud repatriation a growing trend? On-premises vs. Cloud – which is best? How do you futureproof your IT and protect your business through recession or uncertainty, whether that’s in Cloud or On-prem? Today’s article is about keeping your options open within the context of recent economic and technological trends.

At Lumigo, we keep improving the coverage and quality of our distributed tracing instrumentation to give you, through Lumigo’s transactions, the most accurate and intuitive representation of how your distributed system behaves. In this blog, we cover a recent development for the Amazon SQS instrumentation in Lumigo’s OpenTelemetry distro for Python, providing a seamless experience for a scenario that otherwise would result in confusing, broken transactions and lost insights.

As you adopt modern, serverless, microservices-based architectures, it can become more challenging to monitor and understand the state of your applications at any given time. That’s where event bus capabilities from services like Amazon EventBridge can come in handy. AWS EventBridge can help you build loosely coupled, event-driven architectures and applications, and deploy new features faster.

The transition to distributed applications is in full swing, driven mainly by our need to be “always-on” as consumers and fast-paced businesses. That need is driving deployments to have more complex requirements along with the ability to be globally diverse and rapidly innovate.

Google Cloud Provider (GCP) Storage uses buckets to store data. In GCP Storage, you can manage files and folders using the same tools and APIs you use to manage files in a standard container. Using GCP buckets, you can store any type of file, photo, video, or even projects. Essentially, GCP buckets are logical containers for your data. There is no limit to the number of buckets you can create; each bucket can hold any amount of data.