Kayla Esteves’ Post

Why software defined storage? The upside is clear. To learn more about StratiSTOR and its SD architecture click the link below. 👇 https://lnkd.in/eiT8zhWy #sd #clustering #datastorage #sdstorage #clustertechnology

NetApp has finally learned from VAST's DASE architecture and launched its own disaggregated architecture based on ONTAP, officially entering the parallel file system arena. Just as I predicted, the greatest trend driven by GenAI in storage is indeed parallel file systems. I hope to see the details of EMC's Isilon parallel file system soon to determine whether it also references VAST's disaggregated architecture.

Backup and Recovery Architecture: Figure 1 shows common backup and recovery architecture spanning across multiple sites and different type of storage systems with #Lenovo DE/DM/DG series storage systems and #Veeam platform. The general recommended practice is to have more than one copy of backup to recovery from normal failover and disaster recovery scenarios. The backup storage architecture comprises of different media types all flash, hard drives and tape systems to provide flexible options and operationally cost efficient without impacting recovery point (RPO)and recovery time (RTO) objectives. The backup architecture can leverage either storage array-based replication or host based replication or combination of both for different applications backup performance requirements.

NetApp teased a new disaggregated architecture at Insight 2024. But what could it mean for the future of ONTAP? What has NetApp learned from the Spinnaker integration and the acquisition (and deprecation) of the SolidFire platform? Lots of questions to answer in this latest research note (subscribed clients only). https://ait.fyi/post-effa

Hi everyone, The document below contains lectures notes on computer architecture, focusing the micro-architecture design of an 8 bit processor implementing the AVR instruction set. The key topics covered : Micro-architecture Design : ALU, instruction and data Memory, Branching. Pipelining, and pipeline hazards (control and data hazards). Caching.

Segmentation concept in x86 architecture: It (Segmentation implemented by the OS) partitions the addressable memory space into smaller protected address spaces called segments. A segment can hold code, it can hold data, it can hold a stack and also there are some system data structures like TSS and LDT, GDT, etc. Every segment in the memory will have its privilege level, it provides isolation between different programs running also provides isolation between the segments (code, data, etc.) of the same program. A lot more happens to achieve the segmentation. Modern operating systems use a combination of segmentation and paging, though the more focus is on paging for memory management and protection.

🌐 Understanding PACELC in Distributed Systems 🌐 In the world of distributed systems, there's a crucial principle that drives design decisions: PACELC. 💡 When a network partition (P) occurs, the system faces a trade-off between Availability (A) and Consistency (C). However, even in normal operation (E) without partitions, there's another choice to be made: the balance between Latency (L) and Consistency (C). The key takeaway? 🔑 There’s no one-size-fits-all solution. Every system architecture must align with the specific use case and requirements at hand. Understanding this concept is essential for making informed decisions when building scalable, reliable systems. 🚀 #DistributedSystems #PACELC #Architecture #TechInsights #Consistency #Availability #Latency #Scalability

Enabling Scalability and Speed in Your Data Center....Read on...

What's a "routing service"? No, it's not a hardware network device or a woodworking tool. The RTI Routing Service is a very powerful system-building component for software architectures. It has sooo many uses! Curios? Check out David Seltz's blog on all the things it can do: https://lnkd.in/gTrB5zM3 #thisisDDS #softwarearchitecture

Release v1.3 takes the performance of #Microbus and your #microservices up a notch! https://lnkd.in/gpserejd 16% faster sequential request processing (now 10460 RPS) 26% faster concurrent request processing (now 77315 RPS) For #Gophers who are curious how this was achieved, check out the commit with detailed explanations: https://lnkd.in/gScQ3Jwe #Microservices #Software #Engineering and #Architecture