Google agenda
Learning and teaching have an immense impact on how teams evolve. Promote informal sharing opportunities such as lessons learned, TGIFs, Brown bag sessions, and shadowing opportunities. in the LookML to ensure there is a single terminology across the board. Among other agenda items, you could define/refine a common set of standards, for example centrally defined labels, group_labels, descriptions, etc. Set up regular forums where commonly discussed agenda items include major changes, expected downtime and postmortems around the core metrics. For example, System Activity Dashboards could be made available to all the relevant stakeholders and supplemented with notes tailored to your organization. Regular bidirectional communication modes - have shared Google Chat spaces/ slack channels.įocus on artifacts such as jointly owned documentations pages, shared roadmap items, reusable tooling, etc. These signals allow teams to set their error budgets and SLIs.Īgree on communication and collaboration methods that work across teams. These could mean data freshness, data accuracy, latency on centralized dashboards etc.
#Google agenda how to#
This enables an understanding how each team plays their role and how to work with them better.Īgree on the Golden Signals (aka core metrics). Visualize how the data flows across the organization. This helps establish a culture of psychological safety and transparency across teams. There should be some goals which are a shared responsibility across two or more teams. Let’s focus on the best practices which could help us with our Looker ecosystem. The core of DevOps and SRE practices are mature communication and collaboration practices. In case you are not familiar with Google SRE practices, here is a starting point. This is where we look up to the guiding principles of DevOps and SRE practices. With increasing organizational complexities, it is incredibly challenging to achieve such a state because there will be overhead and misaligned priorities. fail, learn, iterate and repeat all the time). In the most ideal state, all these teams will be in harmony as a single-threaded organization with all the internal processes so smooth that everyone is empowered to experiment (i.e. What role can DevOps and SRE practices play? Looker Marketplace can also play an important role in your ecosystem. It also hides how a data source may have dependencies on other sources. *The picture hides the complexity of team(s) accountable for each data source. To support such a diverse set of data sources and the teams supporting them, Looker supports over 60 dialects (input from a data source) and over 35 destinations (output to a new data source).īelow is a simplified* picture of how the Looker ecosystem is central to a data-rich organization.
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Hence, despite silos and different subgoals, destiny for all these teams is intertwined for the organization to thrive. In other words, the organization might be divided internally, however, they all have the mission to leverage the data to make better business decisions. Nevertheless, a common goal across all these teams is keeping services running and downstream customers happy.
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Due to a wide variety of responsibilities, the skill sets also vary to a large extent. ‘Working around data’ could mean any of the following: generating, facilitating, consuming, processing, visualizing or feeding back into the system. Today large organizations are often segmented into hundreds of small teams which are often working around data in the magnitude of several petabytes and in a wide variety of raw forms.
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If you are a leader, manager, or executive focused on how your team can leverage Google's SRE practices or wider DevOps practices, definitely you are in the right place! What do today’s enterprises or mature start-ups look like? This is especially true for enterprises with a variety of systems and tools in use across different teams. Many organizations struggle to create data-driven cultures where each employee is empowered to make decisions based on data.