Technological advancements in telecommunications are keeping everyone on their toes, as communication service providers (CSPs) obsess over the next big thing to roll out and change the way the world communicates, stays informed, manages its daily lives, and more.
Do you want to build software faster and release it more often without the risks of negatively impacting your user experience? Imagine a world where there is not only less fear around testing and releasing in production, but one where it becomes routine. That is the world of feature flags. A feature flag lets you deliver different functionality to different users without maintaining feature branches and running different binary artifacts.
Today we’re announcing the general availability of Icinga DB Web v1.1.0. You can find all issues related to this release on our Roadmap. Please make sure to also check the respective upgrading section in the documentation.
The challenge for every organization is gathering actionable observability information from all your systems, in a timely manner, without creating a substantial operational burden for the teams managing the collection tooling. While each observability solution has its unique benefits and challenges, the one common burden expressed by teams is the management of the metadata of the metrics, traces, and logs.
Elastic® SQL inputs (metricbeat module and input package) allows the user to execute SQL queries against many supported databases in a flexible way and ingest the resulting metrics to Elasticsearch®. This blog dives into the functionality of generic SQL and provides various use cases for advanced users to ingest custom metrics to Elastic®, for database observability. The blog also introduces the fetch from all database new capability, released in 8.10.
InfluxDB and Kafka aren’t competitors – they’re complimentary. Streaming data, and more specifically time series data, travels in high volumes and velocities. Adding InfluxDB to your Kafka cluster provides specialized handling for your time series data. This specialized handling includes real-time queries and analytics, and integration with cutting edge machine learning and artificial intelligence technologies. Companies like as Hulu paired their InfluxDB instances with Kafka.
This month, we were thrilled to welcome SquaredUp customers from all over the world to our in-person workshop in sunny Marlow, UK. It was a wonderful day of learning and sharing ideas, and a unique opportunity for SquaredUp users to meet the people behind the product (us!), network with like-minded customers, and get an exclusive look at the latest product updates. We were excited to showcase our Dashboard Server product roadmap and share our vision for the future of SquaredUp.