Gain tighter alignment with business objectives. Crystallize your SRE team’s focus on the efforts that matter most to the organization.
To be effective, SRE teams must establish benchmarks by which application reliability is defined. Review this blog post to get best practices for establishing effective service-level objectives (SLOs) and service-level indicators (SLIs) that foster ongoing operational and performance improvements.
SRE models have a legacy of being developed and employed by so-called digital natives like Google or Facebook. As a result, these models tend to assume that large teams of technology experts are available to apply engineering approaches to IT operations and application development. However, that’s not the reality for most of the mainstream enterprises that are now seeking to institute SRE models.
As teams pursue SRE initiatives, the tools in place can offer significant support—or pose a massive detriment. The reality is that many organizations looking to adopt SRE models are either employing loosely connected toolchains or open-source tools developed in house. Some of the largest technology companies have the internal resources to make do-it-yourself or point-tool approaches work. That doesn’t mean it’s the optimal approach for most enterprises. On the contrary, these approaches can represent significant efforts that derail SRE adoption, leaving teams spending too much time, and realizing too little value for their efforts.
IT leaders are wrestling with ways to maximize agility, and the SRE model is emerging as a key enabler.
To deliver quality software quickly, CEOs and IT leaders need to be aligned on goals, metrics, and strategies.
To capitalize on BizOps, your teams need a new AI-driven approach that augments and even automates decision making.
