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Category: Distributed SQL

YugabyteDB Engineering Update – March 17, 2020

YugabyteDB Engineering Update – March 17, 2020

We are excited to announce that YugabyteDB 2.1.2 is GA! You can read the official release notes here. This release shipped with over 30 new enhancements and fixes.

Before we dive in, we wanted to let you know that the Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts. We have also transitioned to online meetings with our customers,

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Distributed SQL Tips and Tricks – March 13, 2020

Distributed SQL Tips and Tricks – March 13, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in.

How can I UPSERT multiple rows with an update?

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Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Prometheus has matured into a robust time-series metrics monitoring solution since it was first open-sourced in 2012. CNCF incubated it as its second project after Kubernetes in 2016 followed by graduation in 2018. Today it is arguably the most popular option for monitoring Kubernetes cluster metrics as well as container-based applications. Combined with Grafana for visualization, it becomes a potent combination for dashboarding performance of applications. Nodes in a YugabyteDB cluster have exposed a Prometheus endpoint for easy metrics collection right from the inception of the open source project.

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Getting Started with Falco Runtime Security and Cloud Native Distributed SQL on Google Kubernetes Engine

Getting Started with Falco Runtime Security and Cloud Native Distributed SQL on Google Kubernetes Engine

Falco is an incubating CNCF project that provides cloud native, open source runtime security for applications running in Kubernetes environments. Falco monitors process behaviors to detect anomalous activity and help administrators gain deeper insights into process execution.  Behind the scenes, Falco leverages the Linux-native extended Berkeley Packet Filter (eBPF) technology to analyze network traffic and audits a system at the most fundamental level, the Linux kernel. Falco then enriches this data with other input streams,

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Distributed SQL Tips and Tricks – March 6, 2020

Distributed SQL Tips and Tricks – March 6, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

How can I configure YugabyteDB for serialization isolation level?

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Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Polyglot persistence is the widely accepted database implementation strategy when it comes to decomposing monoliths into microservices. In practice, this requires every microservice to model its data needs independently using a database that is purpose-built for that particular model, and thereafter store the data in an independent database instance. While independent database instances as a deployment paradigm makes sense from an decoupled microservices architecture standpoint, choosing multiple different databases each with a specialized data model is usually justified in the context of performance,

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5 Query Pushdowns for Distributed SQL and How They Differ from a Traditional RDBMS

5 Query Pushdowns for Distributed SQL and How They Differ from a Traditional RDBMS

A pushdown is an optimization to improve the performance of a SQL query by moving its processing as close to the data as possible. Pushdowns can drastically reduce SQL statement processing time by filtering data before transferring it over the network, filtering data before loading it into memory, or pruning out entire files or blocks that  do not need to be read. PostgreSQL is a highly optimized single-node RDBMS when it comes to pushdowns. Because Yugabyte’s YSQL API reuses the upper half of PostgreSQL,

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INSERT INTO Yugabyte (We’re Hiring!)

INSERT INTO Yugabyte (We’re Hiring!)

If you’re looking to turn your passion for Yugabyte into your profession, then we have great news for you! Yugabyte is currently looking for talented people to join our team and help us keep the momentum going. In addition, the Yugabyte community more broadly is looking for people to help them create and operate global, internet-scale apps built with our distributed SQL database. For those of you who are already familiar with what we’re all about,

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YugabyteDB Engineering Update – Feb 28, 2020

YugabyteDB Engineering Update – Feb 28, 2020

We are excited to announce that YugabyteDB 2.1 went GA earlier this week! You can read the official release notes here. This release shipped with almost 70 new enhancements and fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible.

Highlights of this release include:

Generally Available Features

Geo-distributed,

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Getting Started with Distributed SQL on YugabyteDB Managed

Getting Started with Distributed SQL on YugabyteDB Managed

With the release of YugabyteDB 2.1 earlier this week, we introduced many exciting new features: performance optimizations, 2DC and read replica support, and more. We also announced that YugabyteDB Managed (formerly Yugabyte Cloud) is now officially in Beta! In this blog post we’ll show you how to quickly get up and running with a YugabyteDB cluster on YugabyteDB Managed, build a sample database, and connect to it with JetBrain’s DataGrip database administration tool.

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