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@laura_garcia shared a post, 1 year, 1 month ago
Software Developer, RELIANOID

Firewall Load Balancing

🔐 Why Firewall Load Balancing (FWLB) Is a Must in Modern Data Centers In today’s IT landscape, ensuring the security of your network, servers, and applications is non-negotiable. As connectivity demands rise, having a scalable and highly available firewall infrastructure becomes critical—and this is..

Knowledge base_What is Firewall Load Balancing (FWLB)_RELIANOID
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@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9

Apache Logs Explained: A Guide for Effective Troubleshooting

Learn how to read and analyze Apache logs to troubleshoot issues effectively and keep your web server running smoothly.

Debug Logging_ A Comprehensive Guide for Developers
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@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9

A Practical Guide to Monitoring Ubuntu Servers

Learn how to set up effective monitoring for your Ubuntu servers, from basic to advanced strategies, to keep your systems running smoothly.

logging
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@mikewilsonn shared a post, 1 year, 1 month ago
Content Strategist, SunTec India

How US Businesses Are Leveraging Dedicated .NET Developers for Enterprise Success

Discover why US enterprises choose .NET development services and how hiring dedicated .NET developers delivers ROI through enhanced performance, security, and innovation capabilities.

.NET Developers
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@richkurtzman shared a post, 1 year, 1 month ago
Brand Communications, @fathymit

Lessons learned working from home at a new company

Working from home is great and all, but there are some downsides, too.

Me working fathym.jpg
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@hmquan08011996 shared a post, 1 year, 1 month ago

Kubernetes Practice — Logging with Logstash and FluentD by Sidecar Container

Create a file named filebeat.cm.yaml to store the Filebeat configuration file...

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@jaziel-lopez shared a post, 1 year, 1 month ago
Thermofisher

First post ever: the importance of adapting to change

I'd like to start thank you for reading my first post on this platform. I truly appreciate your time.Since this is the first post I did not want to go technical at all and it should not be a large post. Most likely I want to express about the important of being able to cope with changes in our ..

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@ygnys shared a post, 1 year, 1 month ago
gitlive

Top 5 Git Tips & Tricks

Becoming a Git power-user is on the bucket list of every developer. Today we prepared 5 Git tips that will help you level up your workflow and bring you one step closer to Git mastery.

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@thecloudpilot shared a post, 1 year, 1 month ago
Customer Engineer, Google Cloud Premier Partner

Istio Service Mesh 101

Learn the basics of Istio Service Mesh and gain hands-on experience.

Istio Service Mesh 101
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@checkmateq shared a link, 1 year, 1 month ago
Checkmate Global Technologies

Storage Classes and Object Life Cycle Management in Google Cloud Storage

Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.