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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 247
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Important Health Checks for your MySQL Master-Slave Servers

Scalegrid

In a MySQL master-slave high availability (HA) setup, it is important to continuously monitor the health of the master and slave servers so you can detect potential issues and take corrective actions. In this blog post, we explain some basic health checks you can do on your MySQL master and slave nodes to ensure your setup is healthy.

Servers 273
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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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Exploring MySQL Binlog Server – Ripple

Scalegrid

MySQL does not limit the number of slaves that you can connect to the master server in a replication topology. A classic solution for this problem is to deploy a binlog server – an intermediate proxy server that sits between the master and its slaves. Ripple is an open source binlog server developed by Pavel Ivanov.

Servers 262
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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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OpenTelemetry histograms reveal patterns, outliers, and trends

Dynatrace

In this blog, we will focus on histograms and why to use them. Breaking down the benefits of OpenTelemetry histograms OpenTelemetry instrumentation automatically generates histograms for HTTP client and server request durations. But for now, percentile calculation and buckets are available only for explicit bucket histograms.

Metrics 240
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Dare to debug production with Dynatrace Live Debugger

Dynatrace

It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This typically requires production server access, which, in most organizations, is difficult to arrange. Dynatrace servers never access, process, or store customer source code.