Operations | Monitoring | ITSM | DevOps | Cloud

Every decision that an engineer makes in the cloud impacts cost. Yet we know that engineers aren’t cost experts, and many worry that asking them to care about cloud cost will slow them down and distract them from delivering customer value. Top cloud-native companies dedicate entire teams of engineers to build custom tools to measure unit cost and deliver cloud cost to engineering teams. But I’m guessing you don’t have eight engineers you can spare to build internal cost tools?

Logs, metrics and traces are the three pillars of the Observability world. The distributed tracing world, in particular, has seen a lot of innovation in recent months, with OpenTelemetry standardization and with Jaeger open source project graduating from the CNCF incubation. According to the recent DevOps Pulse report, Jaeger is used by over 30% of those practicing distributed tracing.

San Jose, Calif., Oct. 8, 2020 — Perfect Image’s IT infrastructure has seen a 10:1 return on investment by implementing a multi-cloud rightsizing and optimization tool. The UK-based managed service provider’s improvements in results were gained through its partnership with Virtana, a leader in enterprise hybrid cloud migration and optimization.

We are excited to announce a new integration to help developers add partner solutions to their serverless applications. AWS recently released Lambda Extensions to allow Lambda to augment the Function invocation lifecycle. Extensions from AWS, AWS Lambda Ready partners, and open source projects are useful for a wide range of use cases. For example, Extensions simplify a development workflow by automatically instrumenting Lambda functions or deploying operational tools without needing code changes.

If you use Kubernetes in production, you should already know that monitoring and logging solutions are essentials if you want to make sure that your cluster is healthy at all times. Lack of computing resources and capacity misconfigurations are one of the most common causes of failed deployments. Especially if you are an operator, you always need to know the load of your cluster in order to perform capacity planning and setup autoscaling.

There are many articles and videos about practicing Continuous Delivery (CD) with applications, but not nearly as many for infrastructure. The same can be said for GitOps applied to infrastructure. That is a bit strange given that applications and infrastructure are almost the same today. Both are defined as code, and everyone stores code in Git repositories. Hence, GitOps is just as good of a fit for infrastructure as for anything else.