Context initial situation
Companies have a huge amount of data that they obtain from their infrastructure and application layers, and the challenge they face is to make the most of it and make decisions based on it.
Faced with this situation, the need arises to create its own Observability Office, with the objective of centralising the results of the monitoring and observability processes in a single point, thus facilitating decision making.
Datadope is the perfect partner because, thanks to our experience in observability, data processing and optimisation, we can advise clients on the whole process of setting up an Observability Office. No matter what situation the organisation is in, we help them on their journey to setting up their own office.
What happens if companies do not move towards observability?
Companies have multiple monitoring tools and external providers. This situation results in a challenge in the management and control of all the information generated, where the prioritisation in the resolution of incidents generates an economic impact on the company’s profit and loss account.
How do we help companies?
The work begins with an analysis of the initial situation through a consultancy to find out the degree of maturity of the organisation in relation to observability (AS IS). With the results obtained from this analysis we continue with:
At Datadope we have already implemented the Observability Office in a large multinational company in the transport and mobility infrastructure sector.
Thanks to this previous analysis work, an immediate result was the integration of the Office with the technical groups, in order to follow the Observability framework. This has resulted in:
- It has improved collaboration and communication between teams (reduction of silos), by having a shared and consistent view of the performance of applications and services.
- Increased team efficiency and productivity by reducing the time and effort required to collect, analyse and act on observability data.
- The use of resources and quality of work has been optimised by eliminating duplication, inconsistencies and errors in observability data.