Fiberplane announced Autometrics Explorer, which gives engineers insight into their code performance at the code level.
Micha “mies” Hernandez van Leuffen, founder and CEO of Fiberplane, explains, “We aimed to craft a tool that eliminates the barrier between development and operations. With Autometrics Explorer, we offer a user-centric solution that drastically reduces the debugging loop and enriches the developer experience.”
Key Features:
- Built-in Prometheus. Explorer comes with the Autometrics CLI that can spin up a local Prometheus installation, facilitating a local-first observability workflow.
- Define Service Level Objectives in code and build up performance indicators of your service.
- Attach alerts to SLO’s to get actionable intelligence on misbehaving functions of your services and code.
- Support for the most popular programming languages, including Rust, Python, TypeScript and Golang.
Explorer's core benefits:
- O to 1 observability: A complete toolkit for full-circle debugging, including function analysis, Service Level Objectives that define performance thresholds, and actionable alerting.
- Intuitive visual debugging enabling quick resolution: The fastest way to explore Prometheus-compatible data and quickly go from alert to faulty function.
- Automated contextual insights: See the call graph for any function and drill down to misbehaving pieces of your code
Fiberplane is dedicated to enhancing the developer experience and committed to introducing a dedicated workflow rather than a one-size fits all dashboard. Autometrics Explorer democratizes observability, ensuring developers have the right insights for the job. Traditional monitoring tools often involve steep learning curves.
Fiberplane's Autometrics and Explorer offer a streamlined solution. Autometrics provides a consistent and easily digestible set of metrics without the steep learning curve, ensuring developers don't have to spend excessive time understanding complex systems. Explorer builds upon this foundation, simplifying the process of sifting through data and deriving actionable insights. Together, they form a low-cost, efficient toolchain for businesses — low-cost not only in terms of monetary expenditure (given its open-source nature) but also in terms of reduced training time and faster problem resolution.
Both Autometrics and Explorer are available free of charge. Fiberplane will introduce pricing for its managed service in the future.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
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 ...
