Remove tag errors
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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

For the example query listed above, the data expressions are name,errors,:eq,:sum and name,rps,:eq,:sum. The internals here are outside the scope of this blog post. The fundamental idea behind Telltale is to detect anomalies on SLI metrics (for example, latency, error rates, etc).

Storage 288
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Privacy spotlight: Control compliance in Dynatrace with multiple layers of sensitive data masking

Dynatrace

This includes digging through each monitored data source and adding tags to the sensitive data points; this process is usually expensive, exhausting, error-prone, and unscalable. Stay tuned to this Privacy Spotlight blog series to learn more about these continuous improvements.

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Dynatrace Managed release notes version 1.200

Dynatrace

Error code for browser monitors failing basic authentication. Resolved issue in Session Replay when the button in the event list to replay a JS error was always disabled. Tags with colons can now be applied as filters on Deployment Status – OneAgents page (APM-253257). CentOS 8.2. Suse Enterprise Linux 15.2. APM-246322).

Azure 239
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. For example, say you find multiple error events in different log files. But given the hundreds of pods and processes in modern systems, these errors might not be logically connected. Should I use Fluentd or OneAgent for Kubernetes?

Metrics 170
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A practical guide to monitoring Python Applications with Dynatrace

Dynatrace

The idea, and most of the content for this blog, comes from one of our Partners; Stephan Dannewitz , DevOps & Site Reliability Engineer at avodaq AG. If you’re developing, testing, operating, or if you’re a business owner of a Python-based application then I encourage you to read the rest of the blog. Yes – that’s it.

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

For example, you can apply filters on different tag values by using a combination of AWS tags to identity Graviton2 versus x86 Lambda functions as shown below. Root cause determined from an increase in HTTP 500 client-side error rate. Dynatrace Data explorer. End-to-end visibility. Dynatrace Problem Card.

Lambda 202
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. For the purposes of this blog, when we refer to JSON support in PostgreSQL, we will refer to JSONB going forward.

Storage 321