Thank you, Percona, for MongoDB Operator v1.8.0! 🎉 The new release helps reduce cross-regional network traffic and latency, making your applications faster and more efficient. Each MongoDB node now has region/zone tags. You can choose the preferred primary node using the CRD based on Kubernetes region/zone labels. This is great news for multi-cloud and hybrid-cloud environment use cases. primaryPreferTagSelector: region: us-west-1 zone: us-west-1a #OpenSource #DBA #Kubernetes #HybridCluster https://lnkd.in/dKvYuTGV
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Our MongoDB Performance Tuning guide offers valuable insights, strategies, and best practices from Percona's MongoDB experts. It's a comprehensive resource to diagnose and correct any issues impacting your database's performance. #MongoDB #Percona #DatabasePerformance #DataManagement
MongoDB: High Availability Topology for a Multi-Region Setting
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Percona Backup for MongoDB provides various layers of backups such as physical, logical, incremental, PITR, etc. Here's how we can use this backup tool in #MongoDB topologies such as replica set and sharding. https://lnkd.in/gRphHzQM #Percona
Using Percona Backup for MongoDB in Replica Set and Sharding Environment: Part One
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In our latest blog post by Noah, we shared what we learned about the relationship between disk throughput and IOPS. Small operations rely on IOPS, while larger ones depend on throughput. Optimizing both is the secret to fast query responses and a robust system. Stay ahead by ensuring your MongoDB operations are optimized for peak performance! 🚀 Read the blog now and unlock the full potential of your database systems! https://lnkd.in/dJnzex7h #MongoDB #DatabasePerformance #TechOptimization Capillary Technologies Piyush Kumar Prakhar Verma Pankaj Meena Rammohan Tangirala Saurabh Verma Akhilesh Baldi
MongoDB Speed Secrets: The Critical Role of Disk IOPS and Throughput.
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Understanding the internals of the tools, software, systems that you use helps you see through the workings and make more refined decisions. Databases form a critical part of applications. Noah shares his experience of delving into uncovering the Speed Secrets of MongoDB at Capillary Technologies. Saurabh Verma Pankaj Meena Prakhar Verma Rajat Kothari Nayankumar Patel Rammohan Tangirala Saravanan Kesavan #mongodb #performance #distributedsystems #diskio
In our latest blog post by Noah, we shared what we learned about the relationship between disk throughput and IOPS. Small operations rely on IOPS, while larger ones depend on throughput. Optimizing both is the secret to fast query responses and a robust system. Stay ahead by ensuring your MongoDB operations are optimized for peak performance! 🚀 Read the blog now and unlock the full potential of your database systems! https://lnkd.in/dJnzex7h #MongoDB #DatabasePerformance #TechOptimization Capillary Technologies Piyush Kumar Prakhar Verma Pankaj Meena Rammohan Tangirala Saurabh Verma Akhilesh Baldi
MongoDB Speed Secrets: The Critical Role of Disk IOPS and Throughput.
medium.com
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In the dynamic world of database management, performance bottlenecks can arise from unexpected sources. Recently, as our application scaled, we observed a surprising increase in MongoDB response times. After thorough investigation, we pinpointed the culprit: low disk throughput. In my latest blog post, I share our real-world experience with this issue. We’ll explore how an increase in IOPS and disk latency negatively impacted our application’s performance, delve into the technical reasons behind this phenomenon, and outline the steps we took to identify low disk throughput as the root cause. By understanding the intricate relationship between disk throughput and database performance, you can better anticipate and mitigate similar challenges in your own systems. Unlock the full potential of your MongoDB operations by reading the blog now! 🚀 Delving into the internals of your tools and systems, as I did at Capillary Technologies, empowers you to make refined decisions and enhance your database performance. Saurabh Verma Pankaj Meena Prakhar Verma Rajat Kothari Nayankumar Patel Rammohan Tangirala Saravanan Kesavan Pallavi Ravindra #DatabaseManagement #MongoDB #TechInsights #PerformanceOptimization #DevOps #CloudComputing #IOPS #DiskThroughput #TechBlog #Scalability #DatabasePerformance #ITInfrastructure #TechTips #DataOps #SystemPerformance #TechCommunity #CapillaryTechnologies #TechExploration #TechLeadership
In our latest blog post by Noah, we shared what we learned about the relationship between disk throughput and IOPS. Small operations rely on IOPS, while larger ones depend on throughput. Optimizing both is the secret to fast query responses and a robust system. Stay ahead by ensuring your MongoDB operations are optimized for peak performance! 🚀 Read the blog now and unlock the full potential of your database systems! https://lnkd.in/dJnzex7h #MongoDB #DatabasePerformance #TechOptimization Capillary Technologies Piyush Kumar Prakhar Verma Pankaj Meena Rammohan Tangirala Saurabh Verma Akhilesh Baldi
MongoDB Speed Secrets: The Critical Role of Disk IOPS and Throughput.
medium.com
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In my latest blog, I explore the critical aspects of gracefully shutting down MongoDB instances, focusing on two primary methods: • Using the MongoDB Shell (db.shutdownServer()): This command initiates a shutdown from within MongoDB, offering replica set-specific behaviours and finer control over the process. • Using System Commands (systemctl stop mongod): This method utilizes systemd to manage the shutdown of the MongoDB service, ensuring proper service state tracking and integration with system-level management. Understanding the nuances between these approaches is essential for maintaining data consistency, minimizing failover events, and preserving cluster performance. For an in-depth analysis and best practices, read the full article here: https://lnkd.in/gsqdwsis Your insights and experiences are valuable—let’s discuss how you’ve managed MongoDB shutdowns in your environments. #MongoDB #DatabaseManagement #DBA #TechBlog #mydbops
MongoDB Shutdown Methods: db.shutdownServer() vs systemctl stop
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How to Optimize MongoDB Performance: Best Practices Discover effective strategies on how to optimize MongoDB performance for better application efficiency and scalability. https://lnkd.in/dhKHVXYA
How to Optimize MongoDB Performance: Best Practices
https://dailydevdiet.com
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High availability is crucial for reliable MongoDB performance. Learn the minimal topology design to achieve near five-nines uptime and how to deploy a multi-region MongoDB replica set. Read more: https://lnkd.in/gmPVc22V #MongoDB #Percona
MongoDB: High Availability Topology for a Multi-Region Setting
percona.com
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High availability is crucial for reliable MongoDB performance. Learn the minimal topology design to achieve near five-nines uptime and how to deploy a multi-region MongoDB replica set. https://lnkd.in/eGyjxRwA #mongodb #percona
MongoDB: High Availability Topology for a Multi-Region Setting
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Using Percona Backup for MongoDB in Replica Set and Sharding Environment: Part One https://lnkd.in/eZ2tP7DY #mongodb
Using Percona Backup for MongoDB in Replica Set and Sharding Environment: Part One
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