Site Reliability Engineering (SRE) practice was established by Google nearly 20 years ago, and was popularized with Google’s monumental SRE Book. Everyone’s been attempting to follow that iconic path ever since.
Heroku is a platform for deploying, running, and managing applications, which is written in a variety of programming languages, including Python, Java, C#, JavaScript, PHP, and others. Heroku's goal is to free you up to focus on your applications rather than infrastructure management. Logging is usually included in infrastructure management. Heroku provides a high-level log maintenance tool. In this Heroku logging article, we'll learn how to get the most out of Heroku logs.
SRE (site reliability engineering) is a discipline used by software engineering and IT teams to proactively build and maintain more reliable services. SRE is a functional way to apply software development solutions to IT operations problems. From IT monitoring to software delivery to incident response – site reliability engineers are focused on building and monitoring anything in production that improves service resiliency without harming development speed.
One more blog topic stemming from our weekly office hours that we hold with the field team here at Shipa. In our last office hours, was asked a question about “what are the difference between DevOps Engineers and SREs?”. Both professions are emerging disciplines and cultures that continue to evolve and play an importance in technology organizations. I’ve been fortunate to have written and spoken about this before; though taking a fresh look at what the two domains try to accomplish.
To supervise the behavior of distributed applications and track the origin of service failures and downtime, developers often use traditional monitoring technologies and tools. However, this approach can fall short in its ability to measure the overall health of modern cloud-native architectures, which can span multiple hosting environments and encompass hundreds of microservices.
In a perfect world, your Configuration Management Database (CMDB) acts as the single source of truth for all your IT device inventory and the relationships between those devices. However, maintaining accuracy is easier said than done. That’s because the traditional method for provisioning and maintaining a CMDB is complex, unwieldy, and outdated the second it's updated. To keep up with the needs of a modern CMDB, an automated discovery and dependency mapping (DDM) solution is a must.
