Key Aspects of Our Observability Solutions

These are the essential components that power our observability offering:

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    Data Collection at Scale: Capture telemetry data from cloud environments, infrastructure components, and user requests across multiple environments.

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    Understand Root Causes Fast: Analyze data to detect patterns, correlate system events, and uncover the real reasons behind performance issues.

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    Support Complex, Cloud-Native Systems: Enable visibility across distributed systems and cloud computing architectures.

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    Empower Teams with Shared Context: Align IT, development, and operations teams around key performance indicators and a unified view.

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    Adapt with AI and Integration Flexibility: Use continuous integration workflows, Abstracta Copilot, and open or custom connectors to fit your stack.

How We Support You

With over 17 years of experience in quality solutions , we understand how and where observability makes a difference. We help teams link signals across backend, infrastructure, and user experience to bring clarity where it matters.

Our team blends technical depth with practical judgment to adapt tools to your reality. We stay involved, supporting your teams to move with speed and focus.

Key Strengths We Bring

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    Datadog integration, as part of a unified platform, with real use cases.

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    Infrastructure monitoring and system health visibility.

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    Abstracta Copilot to understand your system and surface meaningful signals.

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    User interface refinement, by spotting friction in key flows.

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    Faster decisions and fewer blockers across teams.

We Make It Work Across Areas

  • Functional Visibility

    Not everything gets caught in testing

    We connect functional tests with real-world behavior to highlight the gaps: flows that matter but aren’t covered, bugs that only appear under certain conditions, issues that grow quietly. Observability tools provide us with context that traditional testing alone can’t capture.

  • Performance Insights

    A product can pass load tests and still feel slow

    We show you how it performs for real users, in real conditions. That includes layout shifts, delays in key elements, and interactions that create friction even when technically correct. By focusing on application performance, you will detect invisible bottlenecks that impact real experiences.

  • UX Signals

    Not all blockers are bugs

    We help UX teams surface friction points like hesitation, confusing copy, or abandoned flows. Analyzing observability data helps refine these insights beyond what user testing can reveal, so every interaction can feel smoother and more intentional.

  • End-to-End Clarity

    Different teams see different pieces. Observability brings them together

    We help QA, dev, product, and design share the same view of what’s happening, so they can make better decisions, faster, and with fewer handoffs. Unified observability aligns these perspectives with shared metrics and context.

  • Continuous Feedback

    Fixing issues in production is costly

    We integrate observability into your CI/CD pipeline so you detect regressions and inconsistencies before they reach users. Our approach combines shift-left & shift-right testing, incorporating observability into the entire software delivery lifecycle.

  • AI-Driven Insights

    Too many alerts slow you down, whereas insight moves you forward

    With Abstracta Copilot, we use AI to spot patterns in logs, traces, and tests. It flags what’s relevant, so your team can dig into what actually needs attention. We take advantage of predictive analytics to detect anomalies across log data and traces.

  • Observability in AI Systems

    LLMs often behave unpredictably.

    In AI products, especially with black box models, observability enables uncovering unexpected outputs and user behavior. With custom tools and AI Agents, we bring visibility and accountability into machine learning pipelines.

Real-Time Observability with Datadog + Abstracta

Together with Datadog, we help you monitor, secure, and optimize every layer of your cloud infrastructure, without slowing down delivery.

From custom dashboards to team-specific alerting, we tailor Datadog to your reality. So you don’t just see more, but what matters.

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FAQs about Observability Solutions

Observability refers to understanding system behavior through external outputs like logs, metrics, and traces. An observability solution helps IT teams monitor distributed systems using observability data. It enables data collection, log analysis, and data visualization to improve application performance monitoring and system reliability.

The pillars are metrics, logs, traces, and external outputs. Together, they support complete observability by tracking system events, key performance indicators, and infrastructure components across multiple environments and cloud native applications.

The three types are infrastructure, application, and network observability. Each one helps analyze metrics, identify patterns, and monitor system performance during digital transformation, cloud migration, and complex system operations.

The best observability tools work with cloud computing environments, support collecting telemetry data, and offer strong analysis capabilities. They integrate with continuous integration workflows and enable observability across the software development lifecycle. Take a closer look at Datadog.

Observability platforms improve application performance monitoring by helping development teams analyze log data, monitor user behavior, and visualize data. This boosts system reliability and effective resource allocation across cloud native applications.

Observability tools focus on analyzing system events and maintaining visibility, unlike traditional monitoring tools. They use observability software for real-time data ingestion and analysis tools to achieve observability in distributed systems.

To enable observability, use open source solutions or commercial observability platforms that support data collected from infrastructure components, user request flows, and cloud environments. This supports agile development and boosts system reliability.

Observability tools support digital transformation by improving analysis tools, log analysis, and data visualization. They help operations teams maintain visibility and analyze data across cloud environments and cloud native environments.

Application performance monitoring provides actionable insights into user behavior, key performance indicators, and infrastructure components. It helps IT teams analyze metrics and detect security risks within observability platforms.

Observability tools work by collecting telemetry data and analyzing data from multiple environments. They help development teams detect anomalies and achieve observability across complex system architectures during the software development lifecycle.

Quality Trusted By

Why Choose Abstracta
for Observability Services?

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    Quality Evangelists

    With over 17 years of experience and a global presence, Abstracta is a leading quality solutions company with offices in the United States, Chile, Colombia, and Uruguay. We specialize in software development, AI-driven innovations & copilots, and end-to-end software testing services.

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    Tailored Software Testing Solutions

    When existing technologies don’t fit the bill, we build tailored test automation frameworks based on cutting-edge open-source tools. Not only does this approach boost our testing efficiency, but it also focuses on the development and maintenance of robust in-house solutions.

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    Strategic Partnerships

    We've forged robust partnerships with industry leaders like Microsoft, Datadog, Tricentis, Perforce BlazeMeter, and Saucelabs. This empowers us with confidence to seamlessly incorporate cutting-edge technologies into our testing processes and solidifies our position at the forefront of the field.

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    Innovative IA-Driven Solutionsn

    We provide state-of-the-art solutions that cover every angle of software development and testing throughout the development lifecycle. Our portfolio includes GXtest, Apptim, privateGPT, JMeter DSL, Browser Copilot, Abstracta Copilot, and DocuAI —and growing.

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    Knowledge Sharing and Networking

    We host events like Quality Sense Conf, WOPR Latam, and Abstracta Amplify. We also share insights through our platform Abstracta Academy, the Quality Sense and The Everything Else podcasts, articles, books, and social programs like ReconverTIte.

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    Real Impact on Cost and Performance

    We apply data observability, automation, and AI to reduce testing time, increase cost efficiency, and drive measurable cost savings, helping teams focus where it matters the most. We support key clients with testing solutions that deliver a clear competitive advantage.

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    Sustainable Development Goals (SDGs) and Responsible AI

    As members of the UN Global Compact, we focus on the SDGs 'Good Health and Well-being,' 'Gender Equality,' and 'Decent Work and Economic Growth.' We also prioritize ethical principles and environmental responsibility in our AI software development.

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Our Toolbelt

Let’s Make It Visible

If you’re running blind in key moments, you’re not alone. We’ve helped teams like yours turn confusion into clarity, with tools, practices, and a real partner to guide the way.

Tell us what you’re trying to understand better. We’ll help you find the signals that matter.