Top Ai Observability Tools For Coralogix In 2025 Slashdot

<img decoding="async" src="/wp-content/uploads/2025/06/Group-2147255857.svg" alt="" /> The new standard of observability is here. Discover Olly, the industry’s first Autonomous Observability Agent. → KubeCon + CloudNativeCon North America 2025 In 2025, AI isn’t just an add-on—it’s the engine powering everything from personalized customer experiences to mission-critical enterprise operations. Modern systems generate 5–10 terabytes of telemetry data daily as they juggle intricate cloud-native architectures, microservices, and cutting-edge generative AI workloads.

This sheer volume and complexity have pushed traditional monitoring to its limits, leaving a critical gap in proactive management. Imagine having a panoramic view over your entire AI ecosystem—a real-time, unified dashboard that not only aggregates logs, metrics, and traces but also detects subtle anomalies before they evolve into costly disruptions. AI observability is the process of monitoring and understanding AI systems in production to ensure they operate effectively, securely, and cost-efficiently. The best tools in 2025 focus on real-time monitoring, security, and cost management for cloud-native AI deployments. Here's a quick overview of the top five tools: Each tool addresses unique needs, from managing costs to ensuring security and compliance.

Below is a comparison to help you choose the right one for your organization. Coralogix brings a sharp focus to the performance, security, and cost clarity of scalable, cloud-native AI systems. With Coralogix AI Observability, you get real-time insights into how AI systems are performing, uncover security threats, and manage operational costs effectively. The platform excels at providing detailed tracing and analytics for AI applications, tracking key metrics like errors, token usage, costs, and response times - all without disrupting user experiences in generative AI environments. Coralogix offers instant visibility into AI operations through specialized dashboards. These dashboards highlight critical metrics like latency, error rates, and token consumption across different models and applications.

This allows teams to spot performance trends and address bottlenecks before they impact users. On top of that, the platform’s risk assessment and metadata tracking tools pinpoint abusive behaviors and potential data leaks, giving security teams actionable insights. One standout feature is its ability to scan GitHub repositories to identify where generative AI is being used within an organization. This helps security teams maintain control and minimize risks tied to AI deployments. The platform’s real-time visibility works seamlessly across various deployment environments, ensuring comprehensive oversight. Coralogix is expanding its observability platform by adding tools that will help organizations and MSSPs manage what the company’s top executive calls the “gray area” of AI that can hinder the effective use of...

The Boston-based vendor this week rolled out its AI Center, which includes customizable evaluators that can detect when an organization’s AI solutions seem to be working correctly but actually are having issues related to... “AI introduces risks traditional observability tools can’t track,” Coralogix co-founder and CEO Ariel Assaraf told MSSP Alert. “Unlike standard observability, which follows clear right-wrong signals, AI operates in a shifting gray area.” The AI Evaluation Engine in the AI Center closes the gap by continuously monitoring models, assessing performance, and identifying prompt and response issues, Assaraf said, adding that “this engine goes beyond infrastructure monitoring. It has AI evaluators that, when activated, detect and flag hallucinations, data leaks, and all security vulnerabilities in real-time.” Enterprise adoption continues to accelerate, with global consultancy McKinsey and Co.

noting that last year, 78% of survey respondents said their organizations use AI in at least one business function, up from 72% in early 2024 and 55% percent in 2023. Enterprise software provider Coralogix recently pulled in $115 million in a Series E funding round that brings its valuation to over $1 billion. The company will use the capital to accelerate the rollout of Olly, its new AI agent designed for observability. Olly works to make deep observability data accessible across an organization, including both technical and non-technical teams. The tool can determine the root cause of a technical failure within minutes, and it provides insights in plain language to help teams make the next move. The agent’s release marks Coralogix’s official expansion into the AI space, and it follows several other moves the company announced in 2025.

Coralogix recently acquired Aporia, a solution for AI observability and guardrails, and it launched the Coralogix AI Center to offer real-time observability for AI applications on a unified platform. Related ResourcesTech & Startup Jobs in Boston June 17, 2025: Coralogix Secures $115M to Launch AI Tool Olly - Coralogix raised $115 million in a Series E funding round, led by NewView Capital, to advance its AI-powered observability platform and introduce... This round boosted Coralogix's valuation beyond $1 billion. Olly aims to simplify observability by guiding users with insights and suggestions to solve IT issues, supporting both nontechnical and technical users.The tool enhances decision-making and productivity. Recent innovations, such as the Coralogix AI Center and Continuous Profiling, emphasize the company's commitment to pioneering observability solutions.

Cut through the AI noise - Get only the top stories and insights curated by experts. One concise email per week. Unsubscribe anytime. Trusted by engineering leaders from Microsoft, Amazon, Google, Databricks, and more. Smarter, faster, safer AI begins with full visibility. Coralogix’s AI Center provides the most advanced AI observability tools and dashboards, so you are fully in the know.

Catch hallucinations, incorrect responses and system errors before they break the user experience and cause mistrust. Monitor how each agent behaves across prompts, responses, workloads and model types to spot errors or sudden degradation. Surface inefficient prompts, token overuse, unexpected usage spikes, or cost harvesting attempts in real-time. Our one-of-a-kind Evaluation Engine gives you complete control: assign out-of-the-box or custom evaluators, such as for hallucinations, PII leaks, relevance, toxicity, and more, to every AI agent. Each message is scored in real time, so you can spot where the AI or user might be out of line. Coralogix Ltd.

says it’s going to automate and extend the value of its observability tools to every business worker after closing on a $115 million late-stage funding today. The Series E round coincides with the launch of its first artificial intelligence agent, called “olly,” which enables nontechnical users to explore the full power of its platform. Today’s round was led by NewView Capital and saw participation from the Canada Pension Plan Investment Board and NextEquity, a venture firm founded by former Apple Inc. executives Avie Tevanian and Fred Anderson. Numerous existing investors also participated, including Advent International, Brighton Park Capital, Revaia, Greenfield Partners, Red Dot Capital Partners, O.G. Tech, StageOne Ventures, Joule Capital Partners and Maor Investments.

With today’s round, Coralogix is now valued at more than $1 billion. The company is the creator of a “full-stack observability” platform that’s used by organizations to find and fix technical issues with their information technology infrastructure. It works by scanning the telemetry data created by IT and cloud systems, analyzing it for any signs of problems. It primarily aims to catch potential issues before they cause applications and software to stop working properly. Until now, Coralogix’s platform has generally been used by DevOps teams and IT infrastructure engineers. With the launch of olly, it wants to change that and enable anyone, including business leaders, product managers and other staff, to participate in observability.

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