Coralogix is a modern observability platform that gives teams real-time insights across systems, security, and AI workloads. By processing data in-stream and storing it directly in the customer’s cloud, Coralogix delivers full data fidelity without indexing or sampling. This architecture reduces costs while allowing teams to monitor, troubleshoot, and make decisions using 100% of their telemetry data.
Coralogix is also the creator of Olly, an agentic AI observability assistant that allows anyone to ask plain-language questions and instantly understand what’s happening in production. Olly makes complex telemetry fully accessible without writing queries or building dashboards.
Trusted by over 4,000 customers worldwide, Coralogix is built for teams that need observability to drive clarity, action, and scale.
Rating Reviews
Rating is calculated based on
20
reviews and is evolving.
Pros: The team I worked with was fantastic – really collaborative and supportive. I learned a lot about distributed systems and cloud observability tools. The company culture encourages innovation, and the hybrid work model in London offers good flexibility for engineers.
Cons: There were times when project priorities shifted rapidly, making it a bit challenging to maintain a consistent work-life balance. Communication across different teams could sometimes be a bit disjointed, especially during rapid growth phases of the SaaS product.
Advice to Management: Continue to refine cross-team communication channels and project planning to better manage rapid growth and maintain work-life balance for the engineering team.
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Pros: Working at Coralogix as a Senior Software Engineer has been a great experience. The company is at the forefront of AI-powered observability, which is super exciting. I've learned a ton about distributed systems and machine learning applications in logging. The remote-first setup in Berlin is fantastic for work-life balance, and my colleagues are bright and collaborative. Leadership is generally open to new ideas, making it a dynamic environment.
Cons: While leadership is approachable, sometimes strategic decisions or project roadmaps could be communicated with more clarity and lead time to avoid last-minute shifts. It can also feel like things are moving very quickly, which is a pro, but also means processes sometimes lag behind the pace of innovation. More structured career pathing would be beneficial for long-term development.
Advice to Management: Continue fostering innovation, but focus on clearer, more consistent communication regarding strategic direction and project timelines. Consider formalizing career development paths for engineering teams.
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Pros: The team environment is fantastic, very supportive and collaborative. Management is generally approachable and provides good direction. The tech stack is modern and exciting, offering plenty of opportunities to learn and expand your skillset in the cloud-native space. Remote flexibility is excellent, making it easy to manage personal life. The industry itself is dynamic and Coralogix is a key player.
Cons: While benefits are decent, the compensation could be slightly more competitive compared to other tech roles in London. Sometimes project priorities can shift quite rapidly, which can be a bit disruptive to deep work. More structured career pathing would be beneficial as you grow within the engineering team.
Advice to Management: Consider reviewing compensation benchmarks for London tech roles to ensure competitiveness. Further formalizing career progression frameworks would also be greatly appreciated by the team.
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As a CEO in the observability and AIOps space, how does Coralogix's strategic focus on cost optimization and efficient data handling align with current industry demands for SaaS companies?
Coralogix's emphasis on cost efficiency resonates strongly with my own strategic priorities as a CEO; it's crucial for scaling SaaS businesses effectively in today's competitive observability market.
What's it like managing product categories at Coralogix, especially for AI/ML roles?
At Coralogix, managing product categories for our AI/ML solutions involves deep collaboration with engineering teams to ensure our offerings meet the evolving needs of tech companies globally. It's a dynamic environment focused on driving performance and user satisfaction.
What are the typical skill requirements for a Cloud Engineer role at Coralogix, a growing tech company?
Coralogix looks for strong cloud platform experience, particularly with AWS, and proficiency in observability tools like their own platform is a plus for cloud engineering roles in their mid-sized company.
What are Coralogix's strategic priorities for scaling their observability platform in the competitive tech industry?
As a tech leader, I see Coralogix focusing on expanding their AI-powered insights and enhancing their data pipelines to support enterprise-level observability needs globally, which is key for companies of all sizes.
What's it like working in Category Management at Coralogix as a mid-sized tech company?
My experience in Category Management at Coralogix, a growing observability platform, has been dynamic, focusing on strategic sourcing and vendor negotiations within the tech industry.
What's the dress code like at Coralogix for a software engineer in Tel Aviv?
The dress code at Coralogix is very casual, similar to most tech companies. As a software engineer in Tel Aviv, you'll find that jeans and t-shirts are perfectly acceptable, fostering a comfortable environment for our growing team.
What's the dress code like at Coralogix for a software engineer in London?
At Coralogix's London office, it's pretty relaxed, usually business casual. As a software engineer, I mostly wear jeans and a t-shirt or a casual shirt, fitting for a growing tech company.
What's the company culture like at Coralogix for remote engineers?
Coralogix fosters a really collaborative remote culture, even for a growing tech company. They prioritize open communication and offer opportunities for engineers to connect across different teams and time zones, making it feel like a tight-knit unit despite being distributed.
GR
