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The End of Manual Debugging
Summary
Sherwood Callaway, founder of Sazabi, discusses his return to Y Combinator with a focus on developing an AI-native observability platform. Sazabi aims to simplify the process of identifying production issues for engineering teams by relying solely on logs, challenging traditional observability methods that include metrics and traces. Callaway's experience at Brex, where he helped establish an observability team, informs his approach to building Sazabi.
Callaway reflects on his journey with his previous startup, OpKit, which focused on healthcare AI. He acknowledges that while the experience was valuable, it did not align with his strengths or interests. This realization led him to pivot towards Sazabi, where he aims to create a product that resonates with his personal experiences and expertise in software development.
The vision for Sazabi includes developing self-healing software that enhances operational efficiency in the AI landscape. Callaway emphasizes the importance of building a fun and engaging work environment, aligning the company's mission with his personal values and interests. He believes that leveraging personal strengths will lead to a more successful venture.
Callaway's decision to return to Y Combinator stems from a desire to accelerate Sazabi's growth and establish a strong company culture. He aims to create a product that not only meets market needs but also fosters authentic connections with customers. His focus on personal alignment and enjoyment in the workplace is seen as a key factor in driving the company's success.
Perspectives
short
Proponents of Sazabi's approach
- Advocates for using logs as the sole telemetry for observability
- Highlights the simplicity and accessibility of logs compared to metrics and traces
- Emphasizes the potential of AI to enhance log analysis and issue resolution
Critics of Sazabi's approach
- Questions the sufficiency of logs alone for comprehensive observability
- Points out the complexities of modern systems that require multiple data types
Neutral / Shared
- Acknowledges the evolution of observability tools over the years
- Recognizes the importance of aligning business ventures with personal strengths
- Notes the challenges faced in previous startup experiences
Metrics
other
logs are all you need
core principle of Sazabi
This principle challenges conventional observability practices.
one of the things that we say at Susabi is logs are all you need.
other
built in 2026
year Sazabi was developed
Indicates the platform's modern approach to observability.
instead of being built in 2010 or 2012, it's built in 2026.
other
50 different microservices units
number of microservices running in production
This indicates the scale and complexity of the production environment.
we had like 50 different microservices running in Kubernetes
other
about two and a half years
duration of Sherwood's tenure at Brex
This reflects his extensive experience in the startup environment.
I worked at Brex for about two and a half years.
other
about a year years
time spent building the observability team
This highlights the focused effort on improving production monitoring.
I worked on observability at Brex for about a year.
other
Summer 21 year
year OpKit went through Y Combinator
This situates the startup within a specific context of the pandemic.
We went through YC Summer 21
experience
four years of hard earned experience years
time spent gaining experience in healthcare
Experience in the field is essential for understanding industry challenges.
we have now four years of hard earned experience in that space.
revenue
about a year worth of runway left USD
financial status during the pivot
Indicates the urgency for strategic decisions to secure funding.
we had about a year worth of runway left to build and commercialize that solution
Key entities
Timeline highlights
00:00–05:00
Sherwood Callaway is rejoining Y Combinator with Sazabi, an AI-based observability platform aimed at simplifying production issue identification for engineering teams. The platform challenges traditional observability methods by asserting that logs alone are sufficient for effective monitoring.
- Sherwood Callaway is rejoining Y Combinator with Sazabi after successfully exiting his first startup, aiming to reach a wider audience this time
- Sazabi is an AI-based observability platform that simplifies identifying production issues for engineering teams by allowing them to ask direct questions about their systems
- The platforms core belief is that logs alone are sufficient for effective observability, challenging the need for multiple data types that can complicate engineering tasks
- Callaway emphasizes that relying solely on logs makes observability more straightforward for developers, easing the implementation of telemetry and streamlining debugging
- Advancements in AI have elevated logs from being less valuable to a key resource for insights, enabling teams to analyze unstructured log data for quicker issue resolution
- Callaways experiences at Brex informed his understanding of infrastructure and observability, focusing on improving production reliability and developer efficiency
05:00–10:00
Brex established an observability team to manage complexities arising from multiple microservices, enhancing developers' ability to query production systems. Sherwood Callaway's experience at Brex and his personal connection to healthcare inspired him to pursue startup ambitions, leading to the creation of OpKit, a voice AI for healthcare.
- Brex established an observability team to tackle the complexities of managing multiple microservices, enabling developers to effectively query their production systems
- Sherwood highlighted the critical role of observability in software development, emphasizing the need for systems that can adapt to unexpected production issues
- At Brex, Sherwood implemented auto instrumentation for microservices, which improved monitoring efficiency and enhanced the reliability of the production environment
- After two and a half years at Brex, Sherwood was motivated to pursue his startup ambitions, inspired by pandemic experiences and discussions with a colleague
- Sherwoods first startup, OpKit, aimed to transform healthcare communication using voice AI, driven by his software engineering background and a personal connection to healthcare
- His decision to focus on healthcare stemmed from a belief in the potential of technology to make a significant impact in real-world businesses, aligning his skills with a familiar sector
10:00–15:00
The founder recognized that their initial healthcare startup did not align with their strengths, leading to a reevaluation of their approach to business decisions. Lessons learned from OpKit informed the development of Sazabi, highlighting the importance of leveraging personal expertise.
- The founder realized their initial healthcare startup did not align with their strengths, emphasizing the need to leverage personal expertise in business decisions
- Although the team initially lacked experience in healthcare, they gradually gained knowledge, demonstrating the potential for growth in unfamiliar sectors
- The founder regretted not fully assessing their commitment to a healthcare venture, serving as a warning for entrepreneurs to consider long-term industry implications
- Lessons from the first startup, OpKit, informed the development of Sazabi, showing how past challenges can guide future projects
- Founders often pursue ideas outside their expertise due to perceived limitations, but recognizing existing knowledge can lead to more successful outcomes
- The founder acknowledged their naivety in entering a complex field without adequate background, highlighting the need for a solid foundation of knowledge
15:00–20:00
The founder is developing an observability tool tailored for tech startups, drawing from personal experiences in previous ventures. This initiative aims to address the limitations of traditional healthcare software and enhance operational efficiency through AI.
- The founder aimed to develop a tool that aligns with his experiences, emphasizing observability for tech startups as a key lesson from his previous venture
- His first company revealed that healthcare operations often relied on manual processes, leading to the establishment of a call center for insurance interactions and highlighting the limitations of traditional healthcare software
- A significant pivot in his previous company involved adopting AI for quality assurance and data extraction, showcasing AIs potential to improve operational efficiency in healthcare
- After fundraising challenges, the founder opted to pursue acquisition opportunities instead of continuing with his existing venture, indicating a strategic shift towards more promising prospects
- Experience at a rapidly growing AI sales tech company highlighted ongoing issues with manual debugging in software development, inspiring innovation in the observability sector
- The founder identified that existing debugging tools were outdated, despite advancements in AI, revealing a substantial opportunity to enhance observability in software engineering
20:00–25:00
The founder of Sazabi aims to create a more engaging work environment by aligning the company with his strengths and interests. The vision includes developing self-healing software to enhance operational efficiency in the AI landscape.
- The founder aims to align Sazabi with his strengths and interests, fostering a more authentic work environment. This approach is intended to enhance job satisfaction and engagement
- A significant lesson from past ventures is the need for enjoyment in the workplace, as previous experiences lacked this element. The founder seeks to create a more engaging atmosphere in his new company
- Sazabis goal is to lead in observability within the AI landscape, focusing on self-healing software that minimizes human involvement. This vision underscores the potential for major improvements in software maintenance
- Returning to Y Combinator is motivated by the desire for accelerated growth and a structured environment. The founder believes the programs culture will help build a dynamic and efficient team
- The founder sees strategic benefits in positioning Sazabi within the Y Combinator network, where many software companies could utilize observability solutions. This connection may enhance market entry and growth opportunities
- The founders first Y Combinator experience was remote due to the pandemic, making this return a chance for deeper engagement. Direct interaction with the community is expected to yield valuable insights and connections
25:00–30:00
The founder of Sazabi is focused on aligning the company with his strengths to foster authentic customer connections. Sazabi aims to be a leading observability tool in the AI sector, emphasizing self-healing software and a visually appealing product.
- The founder prioritizes aligning Sazabi with his strengths to enhance enjoyment and foster authentic connections with customers
- Sazabi aims to become the leading observability tool in the AI sector, focusing on self-healing software that reduces the need for human intervention
- The founders return to Y Combinator is motivated by the desire for rapid growth and a structured environment to accelerate Sazabis development
- He emphasizes the long-term value of relationships formed during the startup journey, which can benefit future projects
- Sazabi seeks high-agency candidates who are adaptable and passionate about tools, essential for thriving in the fast-paced AI landscape
- The founder is committed to creating a visually appealing product that stands out in the observability market, aiming to attract top talent