Search GridGain Blog

162 results found. Displaying 1 - 15
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…
Read More
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…
Read More
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…
Read More
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…
Read More
What Is Ignite 3? Apache Ignite has existed for more than six years. During those years, Ignite evolved incredibly and, with thousands of deployments worldwide, became a top-5 project of the Apache Software foundation. The SQL engine became more comprehensive, page-memory architecture and the persistence layer were introduced, and many features were added. These advancements make Ignite an…
Read More
Since our initial launch in mid-2020, GridGain Control Center has strived to bring transparency and flexibility to the monitoring and development of Apache Ignite and GridGain applications. With each monthly update, we introduce new features to make it easier for admins and developers to understand what exactly is happening within their clusters. In our latest update (2020.11.00), we add new…
Read More
Imagine that we need to build a monitoring infrastructure for a distributed database, such as Apache Ignite. Let’s put metrics into Prometheus. And, let’s draw charts in Grafana. Let’s not forget about the notification system—we’ll set up Zabbix for that. Let’s use Jaeger for traces analysis. For state management, the CLI will do. As for SQL queries, let’s use a free JDBC client, such as DBeaver…
Read More
Where do you store your passwords? Whether you’re integrating Apache Ignite with a relational database, a message queue, or something else, you probably need to manage secrets such as usernames, passwords, and security tokens. In this post, we consider a couple of options to avoid having secrets in your configuration file: using property files and integrating with HashiCorp Vault.…
Read More
Now, in-memory cache technology is becoming popular, motivating companies to experiment with distributed systems. The technology is advertised to be fast, and data-load speed is often critical for building a successful solution prototype. This blog post provides a technical tutorial on how to populate a distributed Apache Ignite cluster with values that originate from large relational tables. All…
Read More
Using the initial-query, listener, and remote-filter features of Ignite continuous queries to detect, filter, process, and dispatch real-time events (Note that this is Part 3 of a three-part series on Event Stream Processing. Here are the links for Part 1 and Part 2.) Real-time handling of streams of business events is a critical part of modern information-management systems, including online…
Read More
Characteristics, Types & Components of an Event Stream Processing System (Note that this is Part 1 of a three-part series on Event Stream Processing. Here are the links for Part 2 and Part 3.) Like many technology-related concepts, Streams or “Event Streaming” is understood in many different contexts and in many different ways such that expectations for Event Stream Processing (ESP) vary…
Read More
With this first part of “Getting Started with Ignite Data Loading” series we will review facilities available to developers, analysts and administrators for data loading with Apache Ignite. The subsequent two parts will walk through the two core Apache Ignite data loading techniques, the CacheStore and the Ignite Data Streamer. We are going to review these facilities in relation to specific…
Read More
Hadoop Data Lakes are an excellent choice for analytics and reporting at scale. Hadoop scales horizontally and cost-effectively and performs long-running operations spanning big data sets. GridGain, in its turn, enables real-time analytics across operational and historical data silos by offloading Hadoop for those operations that need to be completed in a matter of seconds or milliseconds. In…
Read More
Apache Ignite can scale horizontally to accommodate the data that your applications and services generate. If your in-memory cluster is about to run out of memory space, you can take advantage of horizontal scaling, which is one of Ignite’s foundational architectural capabilities. The “throw more resources into the cluster” approach is an often-heard piece of advice. However, in practice, most of…
Read More
Glenn Wiebe, Solutions Architect at GridGain, has created a helpful video series that introduces developers to Apache Ignite as an in-memory database (IMDB) and features a demo that will set up a working IMDB in ten minutes. The demo walks through the process of configuration creation, data loading and cluster querying via SQL tools. 1. Introduction Learn the difference between Apache Ignite as…
Read More