Observability ⚡Mikrobloggen
How lookup tables turn observability data into business insight
Source: Dynatrace Blog
Michael Krall
Link to story: https://www.dynatrace.com/news/blog/how-lookup-tables-turn-observability-data-into-business-insight/
OpenTelemetry Profiles Signal Enters Alpha: Elastic’s Continuous Commitment to Profiling
Source: Elastic Observability Labs
Link to story: https://www.elastic.co/observability-labs/blog/otel-profiling-alpha
OpenTelemetry Profiles Signal Enters Alpha: Elastic’s Continuous Commitment to Profiling — Elastic Observability Labs
OpenTelemetry Profiles has officially reached Alpha, entrenching profiling as the fourth observability signal. Elastic's core contribution of its eBPF profiling agent, continued OpenTelemetry Profiles signal work and commitment to a vendor-agnostic ecosystem are driving this industry-wide standard forward.
A new Host Map for modern infrastructure
Source: Datadog | The Monitor blog
Link to story: https://www.datadoghq.com/blog/datadog-host-map/
From raw data to flame graphs: A deep dive into how the OpenTelemetry eBPF profiler symbolizes Go
Source: Grafana Labs blog on Grafana Labs
Marc Sanmiquel
Link to story: https://grafana.com/blog/deep-dive-into-how-the-opentelemetry-ebpf-profiler-symbolizes-go/
From raw data to flame graphs: A deep dive into how the OpenTelemetry eBPF profiler symbolizes Go | Grafana Labs
When you open Pyroscope and see a flame graph for your Go application, symbolization is what makes it possible. Here’s a deep dive on how that process works with eBPF profilers.
Monitor Juniper Mist in Datadog
Source: Datadog | The Monitor blog
Link to story: https://www.datadoghq.com/blog/juniper-mist-integration/
RPA and Monitoring: Toward Self-Healing IT Systems
Source: Ekara by ip-label
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Link to story: https://ip-label.com/rpa-and-monitoring-toward-self-healing-it-systems/
RPA and Monitoring: Toward Self-Healing IT Systems - Ekara by ip-label
RPA and Monitoring: Toward Self-Healing IT Systems RPA is no longer just about task automation. It has become a strategic lever to maintain IT performance in real time, reduce incident resolution time, and ensure a seamless user experience. Robotic Process Automation (RPA) was initially adopted as an operational efficiency tool. Automating repetitive tasks, reducing human error, and accelerating business processes enabled organizations to increase productivity and lower costs. However, this traditional view of RPA is now outdated. In modern IT environments— distributed architectures, API dependencies, and always-on services—performance is no longer just about execution. It depends on the ability to maintain system reliability, anticipate failures, and act instantly. In other words: turning detection into action. The Real Challenge: Moving from Visibility to Action Monitoring and observability tools have transformed how IT systems are managed. With metrics, logs, and traces, teams now have real-time visibility into application behavior. They can quickly detect anomalies, identify root causes, and assess impact. Yet, this visibility hides a structural limitation: detection does not equal resolution. Between the moment an issue is detected and when it is resolved, there is always a delay. During this time, users continue to experience the impact. 👉 This delay is known as the “monitoring gap”: the gap between seeing and acting. Closing this gap is now a critical priority for digital organizations. Connecting Detection to Action Leading organizations are no longer satisfied with monitoring alone. They aim to automate responses to incidents. In this model, every monitoring signal becomes a potential trigger. When an anomaly is detected, it can automatically initiate corrective actions: restarting services, fixing data inconsistencies, or relaunching business workflows. RPA plays a key role here. It acts as an execution engine capable of interacting directly with systems without heavy development. This represents a fundamental shift—from passive observation to autonomous action. Active Monitoring of Digital Experience Not all monitoring data reflects the real user experience. Technical metrics alone often fail to capture what users actually encounter. A system may appear healthy from a technical standpoint while still delivering a degraded or broken user experience. Active monitoring addresses this gap by simulating real user journeys— login flows, transactions, navigation paths—providing a business-level view of performance. When a scenario fails, it directly reflects a user-facing issue. Combined with RPA, this enables immediate corrective actions, followed by automatic validation. A New Generation of RPA: Agile and Accessible Early RPA solutions were complex, requiring technical expertise and long implementation cycles. Modern low-code and no-code platforms have changed this dynamic. Business teams can now design, test, and deploy automations within days. This agility is essential in fast-changing IT environments, where systems and user behaviors evolve continuously. Automation becomes more flexible, responsive, and aligned with operational needs. Toward Self-Healing Systems The convergence of monitoring and RPA is enabling a new type of system: self-healing IT environments. In this model, incidents are detected, corrected, and validated automatically, without human intervention. IT teams shift from reactive operations to strategic oversight, while systems gain autonomy and resilience. We move from reactive IT to proactive—and ultimately autonomous—systems. The Ekara Approach Ekara embodies this transformation. By combining synthetic transaction monitoring, automation, and orchestration, Ekara enables organizations to detect issues early, act instantly, and continuously validate system performance. Automations can integrate with third-party systems, adapt to business environments, and operate 24/7. The goal is not just to monitor systems, but to ensure real performance and continuous service availability. Real-World Use Cases: RPA + Monitoring This approach is already deployed across critical environments. 💳 Banking & Finance Automated correction of failed transactions, KYC validation, and continuous compliance monitoring. 🖥️ IT Operations Automatic service restarts, API error handling, and proactive incident resolution. 📞 Customer Service Automated request processing and CRM updates. 📊 Back Office Financial process automation and continuous reporting. Business Benefits Combining monitoring and RPA delivers measurable business impact. ⏱️ Faster Incident Resolution Issues are resolved automatically without delays. 💸 Cost Reduction Less manual intervention and fewer operational disruptions. 📉 Fewer Service Interruptions Problems are fixed before impacting users. 🚀 Improved User Experience More stable and reliable digital services. FAQ: RPA and Monitoring What is RPA in IT? RPA automates actions across IT systems without modifying existing applications. Why is monitoring alone not enough? Monitoring detects issues but does not resolve them. How does RPA enhance monitoring? It transforms alerts into automated corrective actions. What is a self-healing system? A system capable of detecting, fixing, and validating issues automatically. What’s Next? The question is no longer whether you should monitor your systems, but whether you can act instantly when issues occur. Leading organizations aim to reduce incident resolution time to zero. 👉 The real challenge: moving from observed systems to autonomous systems.
Five real-world lessons for building developer workflows in the agentic era
Source: Dynatrace Blog
Klint Finley
Link to story: https://www.dynatrace.com/news/blog/five-real-world-lessons-for-building-developer-workflows-in-the-agentic-era/
Cloud Monitoring Tools: 5 Best Platforms to Evaluate in 2026
Source: Observatory | The New Relic Blog
Spence Taylor
Link to story: https://newrelic.com/blog/infrastructure-monitoring/cloud-monitoring-tools
Comparing The Best AIOps Tools for Faster, More Reliable IT Ops
Source: Observatory | The New Relic Blog
Spence Taylor
Link to story: https://newrelic.com/blog/ai/best-aiops-tools
How to Use APM Metrics to Optimize Application Performance
Source: Observatory | The New Relic Blog
Spence Taylor
Link to story: https://newrelic.com/blog/apm/how-to-use-apm-metrics-to-optimize-application-performance
