Two years ago, I wrote a long retrospective of observability for its third anniversary. It includes a history of instrumentation and telemetry, a detailed explanation of the technical spec, and why the whole “three pillars” thing is nonsense. At the time, it’s what was needed to steer conversations away from silly rabbit holes about data types and back to what matters: how we understand our systems.
Within the French Ministry of Agriculture and Food (the Ministry), our team of architects in the Methods, Support and Quality office (BMSQ) evaluate and supply software solutions to resolve issues encountered by project teams that affect various disciplines. As data specialists, one area we’ve been involved in includes reconfiguring the traceability of activities for the commercial fishing industry.
We are proud to announce the preview release of the Elastic APM iOS agent! This release is intended to elicit feedback from the community, while providing some initial functionality within the Elastic Observability stack and is not intended for production use. Now is your chance to influence the direction of this new iOS agent and let us know what you think on our discussion forum. If you find an issue, or would like to contribute yourself, visit the GitHub repository.
For modern businesses faced with increasing volumes and complexity of data, it’s no longer efficient or feasible to rely on analyzing data in BI dashboards. Traditional dashboards are great at providing business leaders with insights into what’s happened in the past, but what if they need actionable information in real time? What if they want to use their data to estimate what may happen in the future? Companies are taking notice.
The shift to SaaS and next-gen container and microservices-based IT environments has made it clear that SRE, DevOps and IT operations teams need new solutions to do root cause, automation and observability. This blog summarizes the need for AIOps, how it works, its benefits and how to choose an AIOps tool.
Moogsoft’s expert team has convened a DevOps post-mortem on behalf of Ingen, Inc and Jurassic Park. Sure, the park ran on “a UNIX system,” but where was their observability system? Did they really “spare no expense”? Read on for Jurassic Park's top 7 DevOps missteps.
The shift to SaaS and next-gen container and microservices-based IT environments has made it clear that SRE, DevOps and IT operations teams need new solutions to do root cause, automation and observability. This blog summarizes the need for AIOps, how it works, its benefits and how to choose an AIOps tool.
To realize the full potential of APM, many customers are migrating from their existing APM 10.7 clusters to DX APM. In addition, they continue to onboard new applications for monitoring. These efforts require a series of steps, including the configuration of experience views, universes, and DX Operational Intelligence services.
If you have any experience with comparing open source data visualisation tools then it is very likely you will have encountered both Kibana and Grafana during your research and discovery phase. As two of the most popular solutions for logs and metrics analysis, it can be difficult to distinguish between the two and make the choice to use either Grafana or Kibana depending on the analysis task at hand.
