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Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

Azure 324
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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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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. Effective management of failover and switchover operations is crucial for high availability.

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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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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Batch Processing for Data Integration

DZone

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.