Datadog vs Grafana stack vs OpenTelemetry + open source
If you have run more than one, compare them on cost at your scale, time to value and on-call experience.
In short
Observability is the ability to understand what a system is doing from the data it emits, mainly metrics, logs and traces, so teams can find the cause of problems nobody predicted. This topic also covers monitoring and APM. Buyers increasingly care about data volume and cost, support for OpenTelemetry and how easily they could take their telemetry to another tool.
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The newest Observability and monitoring stories from the last 90 days. Each one opens with our summary and a link to the original source.
LogicMonitor and Work4Flow extend Edwin AI into ServiceNow with A2A, bringing alert context, metrics, root cause analysis, and diagnostic guidance into the incident workflow.
Amazon GuardDuty now supports optional detection rules for Runtime Monitoring. You can enable more than 50 Runtime Monitoring rules that help detect process, file, and network activity that might be routine in one environment but a sign of compromise in another, such as modifying sudoers files or disabling audit logging. The new rules provide detections for Amazon EC2 instances, Amazon EKS, and…
We are announcing a new logging feature that is now available in Python User-Defined Function (UDF) in BigQuery. Developers can now use Python’s standard logging library directly inside BigQuery UDFs to emit structured logs seamlessly into Cloud Logging, with zero external plugins or custom connectors required. While UDF logging enables a wide range of operational monitoring and debugging…
Query Insights for ClickHouse Managed Postgres now shows what active sessions are waiting on, with wait event breakdowns, blocked-session and lock-wait charts, and the same metrics in Prometheus.
We put the same OpenTelemetry data into four backends, Coralogix, ClickHouse, OpenSearch and a Loki, Tempo and Prometheus stack, then set an agent twelve questions against each one, from counting spans to working out what is wrong in a system it has never seen. Then we forced the agents to continue investigating until they got […] The post Comparing Coralogix with open source observability…
If you're a platform engineer, you've likely lived this: your team has assembled a toolchain for CI/CD, monitoring, security scanning, GitOps, and networking. Each tool does its specific job well, but over time, you realize you’re spending more hours maintaining the integrations between those tools than helping developers ship code. That's the real cost of tool sprawl. Yes, it’s increased…
A recap of every session at O11yDay London 2026, from Sam Newman's cobots and dark factories to Corey Quinn on AI cost observability, plus how Honeycomb debugs its own agents with Canvas, Agent Timeline, and AI Ecosystem.
Amazon Braket is now in scope for FedRAMP Class C in AWS US Regions where Braket is available. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring of cloud products and services. With FedRAMP Class C authorization, government customers and the…
Showing the newest 60 of 203. The feed archive lists every story by month.
Stories say what companies announced. These threads are where people who work with Observability and monitoring compare notes.
If you have run more than one, compare them on cost at your scale, time to value and on-call experience.
Sampling, tiered retention, OpenTelemetry pipelines, switching vendors? What cut the bill the most?
More PRs, bigger PRs, new review checklists? Share what changed in your process and quality metrics.
Inventories, risk tiers, approval workflows, monitoring. What framework did you adopt and what does day-to-day governance look like?
Fleet management, updates, security patching and observability at the edge: what tools and practices have held up?
DORA metrics, developer surveys, time-to-first-deploy, cost per service? What convinced leadership the platform team is worth it?
The active companies with the most Observability and monitoring stories in the last 90 days. It counts news coverage, not quality, market share or fit for your needs.
Where Observability and monitoring sits among the categories Techarda covers. Each hub shows who is active, and each guide sets out how to evaluate vendors.
Plain definitions of terms that come up in Observability and monitoring stories, from the Techarda glossary.
Monitoring checks known conditions, such as whether a server is up or a threshold is crossed. Observability means being able to ask new questions of your data when something unexpected happens. In practice, tools do both.
Costs usually follow data volume, and volume grows with every new service, container and log line. Sampling traces, dropping unused metrics, setting retention by data type and filtering data before it is stored all help.
For most teams, yes. It is an open standard for collecting metrics, logs and traces, so you can send data to more than one backend and change vendors without re-instrumenting your code.
Service level objectives are reliability targets set from the user’s point of view, such as the share of requests that succeed quickly. They help teams decide when to slow releases and work on stability.
Stories are filed under topics automatically from their headline and summary, so the odd one may sit in the wrong place. Spotted one, or a topic we should add? Email engage@techarda.com. All topics.