July 2025 Summaries

Coralogix has introduced a new Versions feature within its Real User Monitoring (RUM) tool to streamline the deployment process for software teams by offering one-click deployment tracking, which eliminates the need for extensive investigation into deployment health. This feature provides version-aware visibility, allowing teams to quickly identify whether issues such as errors or latency spikes are related to the latest deployments. By offering real-time tracking of user adoption, performance metrics, and error rates by version, the tool enables engineers to assess the impact of releases without manually setting up dashboards or switching between tools. The Versions feature enhances decision-making by offering detailed insights into user experience, performance improvements, and error distributions, thus transforming reactive problem-solving into proactive assurance. This capability allows teams to confidently validate releases, reduce guesswork, avoid unnecessary rollbacks, and focus their efforts on building better software, effectively turning RUM from mere monitoring into deployment assurance.

Kubernetes has become a widely adopted container orchestration tool, but users often experience "YAML fatigue" due to the repetitive nature of writing YAML files. Coralogix addresses this issue by enhancing its onboarding flow for Kubernetes, offering a point-and-click interface that simplifies integration with the Coralogix platform without needing to manually write YAML code. This new integration process allows users to configure their Kubernetes clusters using a UI-driven workflow, generating the necessary OpenTelemetry configurations behind the scenes. The approach maintains the flexibility and transparency of open-source tools while significantly reducing the time and effort required for configuration. This innovation aims to improve Kubernetes observability by abstracting the complexity of YAML, ensuring that users can focus on effective monitoring and management of their clusters.

Coralogix has achieved significant recognition in the G2 Summer 2025 reports by securing 188 badges across various observability categories, including log analysis, cloud infrastructure monitoring, and application performance monitoring. This accomplishment reflects the trust and support of their customers and the dedication of their engineering and product teams. Coralogix was named a Momentum Leader in 11 categories, highlighting its ability to evolve and meet market demands. Additionally, the company earned the number one ranking in 33 G2 reports, underscoring its leadership in observability solutions. Coralogix's platform offers features like real-time observability, AI-powered insights, and frictionless integration, aiming to provide better ROI and a scalable observability strategy for its users.

The text discusses the inadequacy of traditional observability methods when applied to AI systems, highlighting a growing crisis in AI monitoring. Traditional monitoring tools fail to detect non-deterministic issues specific to AI, such as incorrect outputs and silent failures, which can lead to significant business disruptions and financial losses. Examples like DPD's customer service AI mishap and Air Canada's legal issues illustrate the real-world consequences of inadequate AI monitoring. To address these challenges, the text advocates for a shift towards AI-specific observability that focuses on evaluating AI interactions for correctness, understanding context, intent, and linking costs to business outcomes. The piece underscores the importance of developing comprehensive, real-time visibility into AI operations to ensure trustworthy and effective AI systems.

Coralogix has introduced the Model Context Protocol (MCP) Server, a tool designed to enhance the functionality of AI agents by providing them with real-time access to observability data from production, staging, and other environments. The MCP Server, built on an open standard developed by Anthropic, serves as a secure gateway for connecting third-party AI agents to logs, metrics, traces, SIEM data, and real user monitoring via the Coralogix platform. This integration improves the efficiency of AI agents by reducing mean time to resolution and streamlining workflows, while also offering natural language query capabilities to detect anomalies and explain metrics without manual input. The MCP Server supports various developer tools and allows for the creation of custom AI-driven observability experiences, making it a valuable resource for enhancing developer productivity and integrating observability into AI workflows.

Coralogix has been recognized as a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms, marking a significant milestone for the company. This accomplishment underscores Coralogix's commitment to developing an observability platform that is accessible beyond engineers, aiming to serve various organizational roles such as product, security, and executive teams by providing AI-powered insights and real-time data for informed decision-making. The company differentiates itself by offering in-stream, real-time insights that reduce costs and complexity, leveraging AI tools like the AI Center and their observability agent, Olly, while ensuring transparent pricing. The evolving landscape of cloud-native environments and AI integration drives Coralogix to push for a simple, unified observability solution that enables faster, smarter decisions across all company teams.

Coralogix has announced a strategic collaboration with AWS to enhance AI-driven observability and edge threat detection through the integration of Amazon Bedrock, a managed service for foundation models. This partnership aims to redefine modern observability by moving beyond static rules to automated detection and alerting, enabling faster anomaly identification and reduced false positives. Coralogix now offers native support for AWS CloudFront and WAF, allowing real-time data processing and seamless integration without indexing delays. The collaboration also offers over 300 additional integrations, providing comprehensive end-to-end visibility and enabling organizations to navigate digital transformation efficiently. Razorpay, a joint AWS and Coralogix customer, benefits from this integration by enhancing its security threat detection capabilities. The partnership underscores a commitment to providing advanced, cost-effective observability and security monitoring solutions, with 24/7 global support and rapid response times.

Coralogix has implemented a new static Elastic IP strategy for its Load Balancers and introduced a regional DNS endpoint convention, aimed at simplifying global endpoint management and reducing the need for customer updates during infrastructure changes. This update involves altering both DNS records and associated IPs, affecting customers using specific endpoints who must whitelist new IP ranges without removing existing ones. The update necessitates customers in regions like EU2 and AP3 to adjust their IP allowlists and transition to new domain formats to ensure uninterrupted service. Detailed instructions are provided to guide customers in discovering necessary configuration changes across various platforms like Kubernetes, AWS Lambda, and Amazon ECS. The changes promise operational efficiencies, including faster infrastructure automation, scalability, and a standardized endpoint structure, which reduces the operational overhead for both Coralogix and its customers.

Coralogix has expanded its platform's functionality by introducing OpenAPI endpoints, which enable seamless integration with existing systems and automation of telemetry processes for its users. This new feature complements their existing gRPC APIs, allowing users to manage account data, query telemetry, and automate alerts and dashboard creation. OpenAPI, a widely recognized standard, helps users across various programming languages interface with Coralogix endpoints, enhancing compatibility and expanding the platform’s utility. Users can leverage the APIs to optimize telemetry handling, such as by automating Total Cost of Ownership (TCO) rules based on traffic volumes or error rates, and create dynamic feedback loops that optimize system performance in real-time. An example provided illustrates how Coralogix integrates with Cloudflare and AWS Lambda to automatically adjust TCO policies in response to detected DDoS attacks, showcasing the platform's ability to dynamically manage observability and minimize costs. This integration allows Coralogix to act as a decision-making engine, providing more than just dashboards and alerts, by delivering a responsive and deeply connected observability platform.

Coralogix has launched the Coralogix Operator for Kubernetes, aiming to streamline observability strategies as organizations scale. This operator allows users to define their desired state in Kubernetes clusters through a simple installation process using Helm, facilitating a declarative interface for managing observability assets. It integrates Monitoring as Code practices, similar to Infrastructure as Code, to ensure consistency and reduce reliance on point-and-click methods. Notably, the operator is designed to work with Prometheus CRDs, enabling a seamless transition for users who already have Prometheus rules defined in their clusters, thus maintaining vendor independence. This approach embeds observability directly into the deployment workflow, promoting transparency and minimizing hidden changes. Through this operator, Coralogix enhances observability consistency, performance, and transparency across applications, enabling teams to maintain vendorless codebases while ensuring robust monitoring and alerting capabilities.