Boston and Tel Aviv, December 1, 2020– Logz.io, a leading cloud-native observability platform for modern DevOps teams, today announced the early availability of Prometheus-as-a-Service to complement its Infrastructure Monitoring solution. This new offering brings together the leading open source, cloud-native monitoring solutions to provide engineers with a seamless metrics monitoring experience. This makes Logz.io the only place where engineers can gain end-to-end observability into their environment with the best open source monitoring tools available on a single, scalable platform. Now, engineers can monitor and correlate all of their observability data to make monitoring easier and troubleshooting faster.
As one of the CNCF’s leading projects, Prometheus is the most popular open source metrics collection tool, commonly used as a back-end to Grafana. Prometheus is easy to integrate into cloud-native environments and is built to keep up with the evolving changes presented by modern technologies. However, setting up and maintaining a Prometheus architecture that can store metrics for a long period of time – a common use case for metrics monitoring – can be time-consuming.
Logz.io’s Prometheus-as-a-service, which debuted today at AWS re:Invent 2020, will centralize metrics and provide 18 months of retention out-of-the-box. This means engineers can continue to benefit from Prometheus’s cloud-native integration capabilities without the overhead of managing complex architectures. Other benefits of Logz.io Prometheus-as-a-service include:
- Easy migration from Prometheus to Logz.io
- The ability to use the best-of-breed open source tools for logs, metrics, and traces – side-by-side on a fully managed platform
- 18 months metrics retention
- Easy correlation between metrics and logs for fast root cause analysis
- A single place for all metrics in the company as well as sub accounts to provide the Role-Based Access Control needed to standardize and enforce data governance across organizations
“From the beginning of Logz.io, our goal has always been to empower engineers to use the open source tools they prefer without the challenges that come with scaling and maintenance. This vision has remained constant throughout every product launch and every new feature we create, including Infrastructure Monitoring, which we officially released in April 2020,” said Asaf Yigal, VP Product and Co-Founder at Logz.io. “While Infrastructure Monitoring has seen fast adoption, we found that adding Prometheus as a backend was a critical piece of the puzzle to help our customers more easily use and benefit from the product while further powering, building, and improving the open source ecosystem and community.”
As Gold sponsors of AWS re:Invent, Amazon Web Service’s biggest learning conference for its global cloud community, Logz.io is proud to unveil Prometheus-as-a-Service to attendees in addition to other exciting announcements and happenings at the event. The launch of Prometheus comes on the heels of the recent unveiling of Jaeger-based Distributed Tracing and other platform enhancements at the Logz.io user conference, ScaleUP 2020. In addition, at re:Invent, the company’s CTO, Jonah Kowall, will be holding a jam session for attendees as well as a presentation about trends in observability according to Logz.io’s DevOps Pulse 2020 findings.
Logz.io is a leading cloud-native observability platform that enables engineers to use the best open source tools in the market without the complexity of operating, managing, and scaling them. Logz.io offers four products: Log Management built on ELK, Infrastructure Monitoring based on Prometheus, Distributed Tracing based on Jaeger, and an ELK-based Cloud SIEM. These are offered as fully managed, integrated cloud services designed to help engineers monitor, troubleshoot and secure their distributed cloud workloads more effectively. Engineering driven companies like Siemens, Turner Broadcasting, Unity and ZipRecruiter use Logz.io to simplify monitoring and security workflows, increasing developer productivity, reducing time to resolve issues, and increasing the performance and security of their mission-critical applications.