Operations | Monitoring | ITSM | DevOps | Cloud

In the first article of our series, we explored the importance of trace headers and the complexities involved in their propagation. Now, we shift from theory to practice. This second installment will take you through a hands-on baseline scenario and our initial strategy of propagating the OpenTelemetry trace context in AWS Kinesis by using the PartitionKey parameter.

The emergence of cloud computing. Arguably the biggest change in technology in decades, cloud computing changed how technology would now develop and how businesses and organizations would operate. Indeed, the enormous popularity of cloud services is due precisely to that: you can get different models depending on your operational needs. To properly utilize these cloud service models, you should understand the differences in their functional capabilities and the ideal use cases for each model.

Java has long been a foundational pillar in application development, its versatility and robustness serving as key drivers behind its widespread adoption. Since its inception, Java has evolved to meet the ever-changing demands of scalable deployments, offering a reliable platform for creating everything from web applications to complex, server-side systems.

Datadog is like a Swiss Army knife for observability. Whether it’s cloud, applications, or infrastructure, Datadog can serve all your monitoring needs under one roof. This is with a level of integration that’s akin to having a universal remote for all your digital operations, from on-premises to cloud environments. The thing is, with great power comes a notable concern – cost.

The notion of moving assets out of the cloud may sound like a step backward in an era where digital transformation is driven primarily by migration efforts into the cloud. But it turns out deliberately shifting cyber assets away from the cloud– known as “cloud repatriation”– can be a highly strategic option for CIOs and enterprise IT teams looking to strike the optimal balance of cost, security, performance, and scalability in their IT environments.

Welcome to our series on navigating the complexities of trace header propagation with OpenTelemetry in AWS Kinesis. In this 3-part exploration, we'll dive into the critical role of trace headers in distributed systems, discuss the unique challenges presented by AWS Kinesis, and explore innovative solutions that keep your data tracking robust and consistent.

In the digital age, where data flows as freely as water, securing our digital documents and libraries has become a paramount concern. As we navigate through an ever-expanding digital universe, the line between accessibility and security is often blurred. Striking the perfect balance requires not just technical know-how but a strategic mindset. Setting appropriate permissions is not just a safeguarding tactic; it’s a critical component of modern data management.

We know monitoring your AWS environment can be difficult, which is why we’re thrilled to tell you about a new application we’ve built to make the entire process easier, more efficient, and more intuitive. We’ve offered AWS monitoring capabilities for some time, but with the AWS Observability application in Grafana Cloud, we’ve distilled our collective efforts into a more integrated and potent solution.

Kubernetes has emerged as a pivotal force in shaping modern cloud infrastructure. Originating as a brainchild of Google, Kubernetes has evolved into an open-source platform that has revolutionized how applications are deployed, scaled, and managed across a vast network of machines. Its ability to orchestrate containerized applications efficiently makes it an indispensable tool within cloud computing. However, with great power comes great responsibility, particularly in the realm of cost management.