August 2025 Summaries

Coralogix has enhanced its Unified Threat Intelligence (UTI) capabilities by expanding its Indicators of Compromise (IOC) matching beyond just IP addresses to include new fields like JA3, JA4, domain, URL, and file hash. This expansion is designed to address the evolving nature of cyber threats, where attackers often use encrypted traffic, disposable domains, and polymorphic files to evade detection. The updated UTI features are integrated into the Snowbit Utilities Extension, providing faster detection and richer context, and are available for immediate use by customers. The enhancements enable more comprehensive threat detection across multiple attack surfaces by supporting new dedicated alerts for malicious URLs, domains, JA3/JA4 fingerprints, and file hashes, which work alongside existing IP-based detection for full-spectrum IOC monitoring.

Coralogix offers a wide range of integrations and quick-start extensions designed to streamline the process of setting up and managing data logs, metrics, and alerts across various platforms and services. These integrations support numerous technologies and platforms, including popular cloud providers such as AWS, Azure, and Google Cloud, as well as various logging and monitoring tools like Fluentd, OpenTelemetry, and Prometheus. The platform's customizable parsing rules, dashboards, and alerts enable users to quickly deploy and optimize their data observability solutions, thereby enhancing their ability to monitor and analyze system performance effectively. Users can leverage these capabilities to gain insights into their infrastructure, improve incident response times, and ensure compliance with security and performance standards.

In the fast-paced digital landscape, Coralogix addresses the increasing need for advanced observability and security with its comprehensive suite of extensions designed for scale. The platform offers over 3,800 deployable assets, including dashboards, alerts, and parsing rules, which provide instant visibility and actionable insights for SREs and engineering leaders. Coralogix emphasizes depth, usability, and time to value, ensuring quick and efficient deployment across various cloud services and infrastructure components. Its security approach is proactive, offering more than 2,400 specialized alerts to detect threats early. By taking a content-first approach, Coralogix enables teams to optimize operations rather than spend time on configuration. The platform's unified view of logs, metrics, and traces enhances reliability and risk management, supporting modern compliance needs and optimizing SLOs while reducing mean time to resolution.

Coralogix offers a comprehensive observability solution that stands out for its extensive library of deployable extensions and its streamlined approach to transforming data into actionable insights. With over 395 extensions and thousands of alerts and dashboards, Coralogix supports diverse environments like AWS, GCP, Kubernetes, and on-prem systems, catering to various use cases from security to server management. The platform emphasizes ease of use, offering instant deployment of customizable packages that allow users to quickly gain visibility and insights without needing deep technical knowledge. Coralogix’s approach contrasts with other vendors by focusing on a data-first pricing model, eliminating user-based fees and hidden costs, and providing rapid customer support. This enables teams to achieve significant observability outcomes in minimal time, enhancing their operational efficiency and decision-making capabilities.

Mobile applications are increasingly vital in various industries, making their performance and user experience crucial. Observability for these apps is necessary due to the limitations of simulators and QA environments in capturing real-world issues like network latency and unpredictable user behavior. Coralogix offers a solution with its Android SDK, which allows developers to unify observability data for a comprehensive view of app performance. This SDK supports Android 7.0+ and provides features like error tracking, network performance monitoring, and user interaction analysis. It also includes capabilities for distributed tracing, geo distribution analysis, and crash and ANR detection. By integrating the SDK, developers can effectively monitor and address performance issues, enhancing the user experience and maintaining high app ratings.

Service Level Objectives (SLOs) are essential in modern software engineering for setting realistic uptime goals and fostering experimentation without compromising user experience. SLOs consist of components such as time windows, error budgets, and Service Level Indicators (SLIs), which help teams track their compliance with these objectives over specific periods. Alerts based on SLOs are vital because they proactively inform teams when they're at risk of breaching their SLOs, allowing them to focus on urgent issues. Coralogix enhances SLO alerting by offering specialized alerts for both error budgets and burn rates, enabling teams to detect issues early and prioritize responses effectively. Burn rate alerts are particularly useful for catching rapid changes in error budget consumption, while error budget alerts focus on cumulative risk. To mitigate the potential noise from proactive alerts, Coralogix employs dual-window alerting, which uses shorter and longer time frames to ensure alerts reflect ongoing issues accurately. This approach helps operators match the alert lifecycle with the problem's lifecycle, thus supporting high-quality, autonomous decision-making and maintaining superior service quality without stifling innovation.

MCP (Model Context Protocol) is an open standard developed by Anthropic to enhance AI assistants by allowing direct connections to tools and data sources, enabling real-time reasoning over live production context rather than relying on static documentation. This advancement is exemplified by the Coralogix MCP Server, which allows AI systems like Claude and ChatGPT to securely query observability data such as logs, traces, and metrics in real-time, enhancing accuracy and context in responses. By integrating MCP into development workflows, developers can streamline processes like debugging and incident response by consolidating multiple tools into a single conversational interface within their IDE, reducing context switching and improving efficiency. The Coralogix MCP Server facilitates this by providing native support for various data types and enabling natural language querying, marking a shift towards more conversational and context-aware development practices.

The article emphasizes the challenges of ensuring AI systems not only operate but operate correctly, highlighting the limitations of traditional observability in identifying issues like prompt injection, hallucinations, and context drift. Coralogix AI Center, a pioneering observability solution tailored for AI production systems, addresses these challenges by integrating real-time evaluation, security, and cost intelligence into a singular platform. It introduces a new AI Overview Dashboard that goes beyond infrastructure health to evaluate AI model outputs, user interactions, and return on investment, utilizing domain-specific evaluators to detect issues with high accuracy. The platform supports developer integration through the Model Context Protocol (MCP) Server, enabling real-time access to production data within development environments, thus enhancing debugging efficiency. This shift towards AI-aware observability aims to provide comprehensive insights into AI systems, allowing teams to detect failures, block exploits, and correlate AI performance with business metrics, ultimately improving trust and operational effectiveness in AI deployments.

Coralogix has introduced a Transactions processor to its platform, leveraging OpenTelemetry to allow users to analyze the performance of related spans across numerous traces over time without the need for custom libraries or invasive instrumentation. This feature is designed to address the challenges of tracking and analyzing complex API interactions by segmenting related spans into transactions, which can then be examined to identify performance issues, dependencies, and errors. The integration with OpenTelemetry means Coralogix users can enable this functionality through configuration alone, enhancing their ability to monitor database and API dependencies, conduct transaction analysis, and explore root causes of performance issues. By utilizing this processor, users can transform vast datasets into actionable insights, improving the efficiency of their engineering decisions and preemptively identifying potential problems before they impact customers.

Coralogix RUM Measurements reimagines performance monitoring by focusing on real user data rather than simulated tests, allowing teams to address application issues more effectively. This approach provides a comprehensive view of both standard web vitals and custom business-specific metrics, such as checkout conversion delays, to assess the performance experience from the user's perspective. With a simple implementation that requires minimal code changes, teams can instantly access over 40 predefined measurements and add custom metrics to reflect critical business insights. By examining real-time data, including browser, device, and location specifics, teams can quickly identify patterns and isolate problems, making it possible to pivot from quantitative data analysis to qualitative user experience understanding. This process not only enhances the detection and diagnosis of issues but also supports long-term trend analysis, enabling smarter decision-making by revealing causal relationships between technical and business outcomes.

Coralogix has achieved the ISO/IEC 42001:2023 certification, marking it as the first observability vendor to receive this international recognition for responsible AI management. This certification, issued by the Standards Institution of Israel, validates the company's commitment to transparency, ethical use, accountability, and regulatory compliance in AI systems, including its AI observability assistant, Olly, and the Coralogix AI Center. With the support of the BDO Israel Cyber Center, Coralogix has ensured its AI governance aligns with global standards, addressing concerns about safety, bias, and governance in AI observability. This milestone reflects Coralogix's dedication to providing responsible AI solutions and positions the company ahead of potential future regulatory requirements, offering assurance to customers using its AI-driven features for system monitoring and security.

Coralogix has launched the SLO Center, a service management product designed to help teams define and manage service level objectives (SLOs) across multiple services or metric streams, utilizing the Coralogix Streama© engine for high cardinality limits. SLOs, originating from Google's site reliability engineering practices, help teams balance service availability with innovation by defining performance goals, such as ensuring a percentage of requests are fulfilled within a specific timeframe. The SLO Center provides a dashboard under the APM tab for tracking SLO trends, breaches, and alarms, and allows users to define SLOs using PromQL queries. The platform offers detailed breakdowns of SLO health, error budgets, and introduces new alarm types, such as error budget and burn rate alarms, to proactively manage potential breaches. When an alarm is triggered, the system provides insights and links to explore the root causes, enabling teams to address issues efficiently. To get started, users with existing Coralogix metrics can configure SLOs, with further support available through the documentation or sales team for demonstrations.