The GridGain Systems In-Memory Computing Blog
As technology rapidly progresses, we need increased computational speed and efficiency to drive digital transformation. Achieving this while working with big data requires a powerful and trustworthy solution.
Apache Ignite is a popular distributed database that supports growing speed and scalability demands while maintaining the distributed architecture. It achieves fast processing speeds…
A year in the cloud
For cloud enablement of GridGain and Apache Ignite tools and services, 2021 has been a busy year. Mid-year we launched a SaaS version of GridGain Control Center—for customers who need easy access to troubleshooting and monitoring tools for their Ignite and GridGain clusters. Building on our initial SaaS offering, we have now added a self-service version of GridGain Nebula.…
Apache Ignite's default storage engine is sophisticated enough to enable us to use the database for various use cases, ranging from transactional workloads to real-time analytics. The multi-tiered storage architecture allows you to configure Ignite as a distributed, in-memory cache without persistence or to have Ignite function as a hybrid transactional/analytical database that scales beyond…
(Be sure to sign up for the product update webinar on June 16, 2021, at 10:00 a.m. PDT. The webinar features technical demos on the features discussed in this article).
GridGain Control Center is a comprehensive troubleshooting, management, and monitoring solution for Apache Ignite and the GridGain platform. While Ignite and the GridGain platform enable the building of high-performance, scalable…
It has been a busy first quarter of 2021 with monthly GridGain Control Center releases. We continue to add new capabilities to help accelerate the creation and configuration of dashboards and alerts, new features for team collaboration, and new options for SQL query development.
Teams
Control Center introduced a new top level feature for collaboration: Teams. In previous releases, Control…
Metrics in Distributed Systems Monitoring
Metrics change over time and, at any particular time, indicate the current state of a system. For example, you can determine whether everything is good with your computer by checking the processor load level, the amount of memory, and the used disk space. Also, for example, a graph that identifies numbers of business operations describes the system from…
Overview
The task of monitoring complex distributed systems can be a headache, from the configuration and updating point of view and from the performance point of view. The easiest way to avoid problems is to prevent them at the design stage. In this post, we describe how to implement monitoring of a complex distributed system by using Zabbix as the monitoring tool and Apache Ignite as the…
Overview
Prometheus is a popular monitoring tool that is supported by the Cloud Native Computing Foundation, the group who support Kubernetes. We often see Apache Ignite and GridGain users trying to integrate Prometheus with their clusters. This post provides hints about how to integrate Prometheus with Apache Ignite and GridGain.
Prometheus Configuration
This post isn’t about how best to…
It’s been a while since we published a major release of GridGain In-Memory Computing Platform. There is a reason for that. We’ve been advancing our multi-tier database engine, powered by Apache Ignite. And, with GridGain 8.8, we are rolling out the first set of advancements (yep, more to come) that enable you to leverage the disk tier of the database to query larger datasets, reduce the total…
In this article, we look at how transactions work in Apache Ignite. We begin with an overview of Ignite’s transaction architecture and then illustrate how tracing can be used to inspect transaction logic. Finally, we review a few simple examples that show how transactions work (and why they might not work).
Note that we assume you are familiar with the concept of key-value storage. If not,…