Tag: use case

Feed: Puppet.com Blog RSS Feed. Author: ; Managing complex IT systems is always a delicate balancing act for sysadmins — between getting the latest updates to take advantage of new features and bug fixes, as well as security updates, and keeping a stable system running without making any unnecessary changes. Add to this the often complex and time consuming change control procedures in place at many enterprises, and what develops is a situation where as long as there are no pressing problems, it is easier to leave production systems running the same versions of critical software until an upgrade is ... Read More

Feed: Planet MySQL; Author: MySQL High Availability; In part 1, we took a brief, high-level look at the various protocols and mechanisms used to keep the Data Dictionary (DD) of MySQL servers connected to a MySQL Cluster in synchronization with each other and with the NDB Dictionary. More specifically, we explored the problems with the implementation of user-triggered synchronization in the NDB Cluster 7.x versions. These concerns are addressed in NDB Cluster 8.0 through a new feature: Automatic Schema Synchronization (or auto schema sync for short). A new component called Metadata Change Monitor has been introduced to detect any NDB ... Read More

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Blue Medora. Author: Nate Coppinger. This is part one of a three-part blog series on Log Management for Google Stackdriver with BindPlane Proper Log Management Whether you’re a multi-billion-dollar tech firm or a small startup, sorting your data in a usable and logical manner can prove to be a major challenge. No matter the size of your company, you are going to have individuals within your organization that only need access to specific data and information. Providing them with anything extra ends up slowing down workflows and creates digital clutter. When you first begin ingesting data with Google Stackdriver ... Read More

Feed: Recent Announcements. By moving from contract-based to usage-based billing, we are aligning with the AWS consumption model that provides customers with greater flexibility. Customers can now easily use our solution by paying a per server hourly rate instead of committing to a long-term contract or set number of servers. CloudEndure Disaster Recovery allows you to meet stringent recovery objectives for all major disaster recovery use cases: on-premises to cloud, cross-Region, cross-Availability Zone, and cross-cloud. Whatever the use case, you can follow the same simple process to set up, maintain, monitor, and test your disaster recovery plan. Thousands of AWS ... Read More

Feed: Planet MySQL; Author: Severalnines; With MySQL 8.0 Oracle adopted a new approach to development. Instead of pushing features with major versions, almost every minor MySQL 8.0 version comes with new features or improvements. One of these new features is what we would like to focus on in this blog post.  Historically MySQL did not come with good tools for provisioning. Sure, you had mysqldump, but it is just a logical backup tool, not really suitable for larger environments. MySQL enterprise users could benefit from MySQL Enterprise Backup while community users could use xtrabackup. Neither of those came with a ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Matt Yellen, Principal Engineer at CloudZeroAnalyzing large datasets can be challenging, especially if you aren’t thinking about certain characteristics of the data and what you’re ultimately looking to achieve. There are a number of factors organizations need to consider in order to build systems that are flexible, affordable, and fast, while at the same time meeting the needs of their end users. For example, you need to understand where your data is coming from, how often it changes, and how the data will be queried. In some cases, a fixed ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; That much data is more useful to machines than people however, so let’s use this low-level tool to answer some specific questions. It would be possible in the future to build a higher-level, more problem-focused user interface to Lumogon data, but for the moment we’ll show examples using the excellent JQ.Looking at a containers labelsLet’s look at a simple example to begin with. Let’s view the labels for a specific container:docker run --rm -v /var/run/docker.sock:/var/run/docker.sock puppet/lumogon scan fixtures_ubuntu-xenial_1 | jq ".containers[].capabilities.label.payload" "payload": { "com.docker.compose.config-hash": "600c3e117e3a2dfeadac8bec2680b40f71dcc2fe8dae8d402432131df2d59646", "com.docker.compose.container-number": "1", "com.docker.compose.oneoff": "False", "com.docker.compose.project": "fixtures", "com.docker.compose.service": "ubuntu-xenial", ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. “Even something as simple as mapping your IT network, which really makes sense when you look at it as a graph, takes the concept of graph and makes it a little bit more tangible,” said Jennifer Reif, Developer Relations Engineer at Neo4j.A graph database like Neo4j is different from what most developers have worked with before. It requires a new perspective and thinking outside the box, but builds on what they already know.In this week’s five-minute interview (conducted at GraphTour DC 2019), Jennifer Reif shares her excitement about spurring aha moments and ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Charlie Klein, Product Marketing Manager at Logz.ioOften times, metrics and logs that are clearly indicative of oncoming production crises are lost in a sea of telemetry data generated by modern, distributed Amazon Web Services (AWS) environments. This is especially true in environments powered by technologies like Kubernetes. Each layer in a microservices architecture—such as databases, cloud infrastructures, backend services, and client-side applications—produces different kinds of telemetry data that must be monitored for performance and reliability. The result is a barrage of logs and metrics that increase in scale and variety ... Read More