Operations | Monitoring | ITSM | DevOps | Cloud

In a recent reddit thread, I got into a conversation about justifying the cost of observability. It got to a really basic question about running a tech company: how do you know that any cost is justified? While a small number of expenses have clear and direct business values, a bunch of other costs, I would even say most costs, just aren’t that clear cut.

IT operations teams are challenged to keep pace with the rapid speed of digital transformation. As companies use more cloud-based apps, increase agile deployments, and develop new microservices-based applications, they add layers and complexity to their technology stacks, making life increasingly challenging for ITOps performance.

Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.

In a recent episode of the Millennium Live Podcast, Galileo partner Charles Araujo, an industry analyst, author, and recognized authority on digital transformation, joined the host, Conor Tuohy, to delve deep into the world of smart infrastructure management. The interview provides valuable insights into the evolving landscape of IT operations, the challenges posed by digital transformation, and the role of Galileo Suite in revolutionizing infrastructure management.

On-Call Schedules are predefined rotations/shifts assigning team members to be available for incident response at specific times. They are essential for ensuring round-the-clock support, swift issue/incident resolution, and continuous service availability. For a robust On-Call system, proper schedules are essential serving as the backbone of reliable Incident Response, and ensuring your team is well-prepared to address technical challenges effectively.

Internal Developer Platform (IDP) is a game-changing innovation that has transformed the technology landscape. In the previous article, we discussed in detail the effectiveness of these developer platforms in terms of developer efficiency, faster product releases, frequent collaboration, etc. However, one aspect that is of paramount importance, especially from the business perspective, is the ROI. The first question any manager will ask is, "What will be the ROI of investing in an IDP"?

Internal Developer Platforms (IDPs) are gaining significance in contemporary software development because they can transform an organization's software delivery by facilitating automation and productivity across large teams or by permitting smaller teams without dedicated DevOps engineers the ability to deploy at scale. The migration of existing projects, protocols, and infrastructure to the new platform can make the transition to an IDP challenging for businesses.