Docker Archives - The Distributed SQL Blog

Databases Distributed SQL Docker Google Cloud Platform Kubernetes

January 18, 2022

Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable,

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Containers Databases Distributed SQL Docker

January 7, 2022

by Shawn Sherwood

Tutorial: Getting Started with YugabyteDB and Docker

When developing modern applications, it is important to maintain dev/prod parity (that is, keep development, staging, and production as similar as possible). This should also extend to the local development environment. However, containerization makes it easy to achieve consistency across all environments, even with more complicated components such as databases.

YugabyteDB is a cloud-native, distributed SQL database that is also PostgreSQL compatible.

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Databases Distributed SQL Docker How To

June 11, 2021

by Eric Pratt

Migrating MySQL to YugabyteDB Using pgloader

We understand that database migrations can be painful. We have helped users successfully migrate from MySQL to YugabyteDB, a PostgreSQL-compatible distributed SQL database. A very popular tool to accomplish this task is pgloader. In this post, we will cover how to migrate both your MySQL schema as well as data to YugabyteDB.

Prerequisites

Before starting the migration there are a few prerequisites you’ll need to address.

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Databases Distributed SQL Docker Ecosystem Integrations How To Kubernetes PostgreSQL

August 26, 2020

by Sid Choudhury

Using Envoy Proxy’s PostgreSQL & TCP Filters to Collect Yugabyte SQL Statistics

Layer 7 proxies like NGINX and HAProxy have been popular since the mid-2000s. The term “proxy” refers to their role as an intermediary for the traffic between an application client and an application server. The “layer 7” classification comes from the fact that these proxies take routing decisions based on URLs, IPs, TCP/UDP ports, cookies, or any information present in messages sent over a layer 7 (aka application layer) networking protocol like HTTP and gRPC.

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Docker How To Kubernetes

February 12, 2019

by Sid Choudhury

How to Monitor YugabyteDB with Prometheus on Docker?

Observability is absolutely vital to operating business-critical data infrastructure at scale. This is why observability is not an afterthought in the YugabyteDB architecture. Every layer of YugabyteDB exposes metrics in the Prometheus format at the /prometheus-metrics endpoint. Given that Prometheus is essentially the de-facto standard for build-your-own infrastructure monitoring and alerting, you can get started with monitoring YugabyteDB in almost no time.

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ACID Transactions Amazon Aurora CockroachDB Distributed SQL Docker Google Spanner Kubernetes PostgreSQL

January 16, 2019

by Sid Choudhury

Rise of Globally Distributed SQL Databases – Redefining Transactional Stores for Cloud Native Era

At last month’s KubeCon + CloudNativeCon in Seattle, the single biggest change from previous container-related conferences was the excitement among the end user companies around their adoption of Kubernetes and the associated cloud native infrastructure ecosystem. The CNCF End User Community page today lists 50+ enterprises and 21+ case studies including those from industry bellwethers such as Capital One,

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CockroachDB Containers Distributed SQL Docker Kubernetes

June 11, 2018

by Sid Choudhury

Docker, Kubernetes and the Rise of Cloud Native Databases

Containerized Stateful Services Are Here

Results from the 2018 Kubernetes Application Usage Survey should put to rest concerns enterprise users have had around the viability of Docker containers and Kubernetes orchestration for running stateful services such as databases and message queues. Its exciting to see that nearly 40% of respondents are running databases (SQL and/or NoSQL) using Kubernetes.

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