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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…
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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…
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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…
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Telcos can become a highly data-driven enterprise by leveraging the Digital Integration Hub (DIH) Architecture built on GridGain’s in-memory computing platform. In this blog post, I will discuss how the DIH architecture can help telcos develop better customer insights, generate new revenue streams and be ready to ride the 5G wave. This easy-to-adopt, no rip-replace architecture can meet the needs…
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This tutorial walks you through the process of creating a Spring Cloud-based RESTful web service that uses Apache Ignite as a high-performance, in-memory database. The service is a containerized application that uses HashiCorp Consul for service discovery and interacts with an Apache Ignite cluster via Spring Data repository abstraction. For containerization, we use 🐋 Docker. Apache® Ignite™ is…
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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…
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Apache Ignite Deployment Patterns The Apache Ignite® in-memory computing platform comprises high-performance distributed, multi-tiered storage and computing facilities, plus a comprehensive set of APIs, libraries, and frameworks for consumption and solution delivery (all with a “memory first” paradigm). This rich set of capabilities enables one to configure and deploy Ignite in many diverse…
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In-memory computing can provide tremendous benefits for the 5G ecosystem. We’ve seen the marketing for the new fifth-generation mobile networks. The benefits of 5G for end-users are easy to understand. Speeds faster than your home broadband and latencies only a little slower promise to be game-changers for consumers, enhancing existing applications and opening open entirely new categories that we…
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Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data…
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Apache Ignite AWS basics

Introduction Cloud computing is on the rise for a couple of reasons: it is flexible, relatively cheap compared to supporting in-house infrastructure, and it allows excellent automation of resource allocation, thus cutting costs even more. Cloud computing also allows horizontal scalability, which is crucial for many businesses in today’s digital age. When the amount of data to be processed grows…
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Ease-of-use is one of the core requirements at GridGain® which influences the way we see and build our products. While in-memory computing is a complex topic, the application development experience should not be equally complex. In the coming months you will see changes to GridGain and Apache® Ignite™ that will simplify Core APIs and the way that you debug running applications. In keeping with…
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GridGain has once again been named to the Inc. 5000 – the highly regarded ranking of the nation’s fastest-growing private companies. This is the third year in a row GridGain has been named to the list. GridGain, which experienced 797 percent growth over the last three years and doubled sales during the first half of 2019 compared to the same period in 2018, is ranked 558 on the 2019 Inc. 5000 …
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In case you missed it: Catch GridGain's Rob Meyer and Glenn Wiebe as they introduce the various options available and when your organization needs to add speed and scale to MySQL deployments (and when each option makes sense). This free on-demand webinar is available now. Register here. Registering will give you free access to the video and the presentation slides.  Rob and Glenn explain how to…
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Join GridGain's Stan Lukyanov for a free one-hour live webinar on Sept. 18 starting at 10 a.m. Pacific and learn some of the best practices and the different options for maximizing availability and preventing data loss. His lecture will feature Apache® Ignite™ (register here). Stan will explain various challenges -- including cluster and data center failures -- and the best practices for…
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We had a great event in Menlo Park earlier this evening at the Bay Area In-Memory Computing Meetup. Catch the two excellent talks by watching the recording below on GridGain's YouTube page.  The speakers were Nikita Ivanov, Founder & CTO, GridGain Systems and Andy Rivenes [@TheInMemoryGuy], product manager at Oracle for Database In-Memory. Nikita was up first. His talk was titled: "Ignite…
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