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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. From here we jump directly into Dynatrace Distributed traces view, shown below, to understand code-level contributions to total processing time. Information about each of these topics will be available in upcoming announcements.

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Davis AI now detects infrastructure availability issues as root cause

Dynatrace

Having been named as a Leader in the 2020 Gartner APM Magic Quadrant for the 10 th consecutive time proves that Dynatrace is the best-of-breed application performance monitoring tool available. But what happens if a service work perfectly but the underlying infrastructure, such as processes and hosts, experience an outage?

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Managing High Availability in PostgreSQL – Part III: Patroni

Scalegrid

In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Managing High Availability in PostgreSQL – Part II: Replication Manager.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Setting Up and Deploying PostgreSQL for High Availability

Percona

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279
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Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. This is especially true when the goal is to present information to non-technical users, but all technical teams can benefit from aligning raw metrics with higher-level KPIs and SLOs. Presentation matters.

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