Timescale announces general availability of OpenTelemetry tracing support in Promscale, its unified observability backend for metrics and traces powered by SQL.
Timescale furthers its mission to enable developers worldwide to analyze their time-series data effectively; enabling them to know what is happening, why it is happening, and how to fix it.
Timescale - the creators of TimescaleDB, the relational database for time-series built in PostgreSQL - announced the full availability of OpenTelemetry support in Promscale. Promscale is the unified observability backend for Prometheus metrics and OpenTelemetry traces powered by SQL built on TimescaleDB and PostgreSQL. It provides users of cloud-native applications the power and flexibility to interrogate their observability data using a query language they already know and gain unprecedented insight about their distributed systems to troubleshoot problems faster and build better software. With traces now generally available, Promscale provides a single database and unified query language for metrics, traces, and business data.
In 2021, Timescale announced the beta release for OpenTelemetry traces in Promscale. With this announcement, support for OpenTelemetry traces is now fully available, making tracing data more accessible and valuable to developers so they can better monitor, maintain, and troubleshoot their distributed systems.
OpenTelemetry is an open source observability framework for cloud-native service and infrastructure instrumentation hosted by the Cloud Native Computing Foundation (CNCF). Second only to Kubernetes as the project with the most activity and contributors, It focuses on solving the challenges of operating distributed systems by making telemetry data very easy to collect and universally available.
With tracing support, Promscale equips every developer with observability powered by SQL. Observability is a data analytics problem, and SQL is a powerful language for data analytics: by using SQL to analyze tracing data, developers can get unprecedented insights about their distributed systems, identifying production problems faster and reducing mean time to recovery.
OpenTelemetry tracing support in Promscale includes the following features:
- A fully customizable out-of-the-box experience within Grafana to help users understand the performance of their distributed systems, enabling a deep dive into the behavior of microservices.
- A native ingest endpoint for OpenTelemetry traces that understands the OpenTelemetry Protocol (OTLP) to easily ingest OpenTelemetry data.
- Trace data compression and configurable retention to manage disk usage.
- Seamless integrations to visualize distributed traces stored in Promscale using Jaeger and Grafana so users don’t have to learn new tools or change existing workflows.
- Support for ingesting traces in Jaeger and Zipkin formats via the OpenTelemetry Collector so users can also benefit from the new capabilities.
“Observability is an analytics problem; SQL is the lingua franca of observability. By combining SQL with OpenTelemetry traces, you can get new insights not possible with existing observability query languages. Promscale is the only observability solution that makes this possible, thanks to its full SQL support and its support for OpenTelemetry traces'' said Ramon Guiu, VP, Observability at Timescale. “With this feature launch, users have access to out-of-the-box dashboards that will help them understand the behavior of their applications, so they can start troubleshooting immediately.”
With the release of full OpenTelemetry support, Promscale is now even more robust and suited for simple and enterprise-grade deployments; offering unified storage for Prometheus Metrics and OpenTelemetry traces, full SQL and PromQL support, providing users the ability to create unique dashboards, and ask questions aimed at better understanding the systems being monitored. This is an important step towards the goal of enabling every engineer to store all observability data (metrics, logs, traces, metadata, and other future data types) in a single mature and scalable store, and analyze it through a unified and complete SQL interface.
The Latest
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
