Operations | Monitoring | ITSM | DevOps | Cloud

As a DevOps engineer or SRE, you are often faced with investigating complex problems — mysterious application performance issues that happen intermittently or to only certain portions of your application traffic — that impact your end users and potentially your company’s financial targets. Sifting through hundreds or even thousands of transactions and spans can be a lot of tedious, manual, and time consuming investigative work.

As web applications become more complex, software engineering teams must rely on many different products and services to create the best developer experience. The application development ecosystem has grown beyond version control and hosting deployment. Manually managing the deployment of new features across all services can create a serious bottleneck in the software development lifecycle. It also introduces the risk of human error.

Big data experts already agree that the amount of generated data is growing exponentially and forecast that it will reach 175 zettabytes by 2025. That projection is predicated upon current realities, which include a growing number of internet users and the billions of embedded systems and connected devices around the world. Even conceptualizing that amount of data is daunting — but then consider how best to manipulate and export it.

Cisco ACI is an enterprise-class, software-defined networking (SDN) solution that provides complete control of the data center network. Using a policy-based approach, Cisco ACI delivers security, performance, and scalability for today’s demanding applications. Cisco ACI is part of the broader Cisco SDN portfolio, which also includes Nexus switches and Application Centric Infrastructure (ACI) controllers. If you are looking for a way to improve your data center network, Cisco ACI may be the answer.

The Sentry Terraform Provider is an open-source project built and maintained by a community developer and officially sponsored by Sentry. You can find more information on the Terraform Registry and in this GitHub repository.

Building, testing, and monitoring applications in the cloud is a unique challenge. While many organizations have embraced a DevOps methodology, their DevOps machine is still not at the level of maturity they might like it to be. According to a recent survey, 53% work on a team with a 'low level' of DevOps based on maturity factors.