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Zombie Processes are Eating your Memory

Randon ASCII

Zombies probably won’t consume 32 GB of your memory like they did to me, but zombie processes do exist, and I can help you find them and make sure that developers fix them. He’d even written a tool that would dump a list of zombie processes – their names and counts. I ran his tool and it showed 506,000 zombie processes!

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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The Back-to-Basics Readings of 2012 - All Things Distributed

All Things Distributed

Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Goetz Graefe, ACM Queue 6(4): 40-52 (2008). Sep 7 - Adaptive load sharing in homogeneous distributed systems , D Eager, ED Lazowska and J Zahorjan - IEEE transactions on software engineering, 1986.

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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

The new column store engine and query processing technology could increase query performance up to 100X and the new In-memory OLTP engine can process 1.25million batches/sec on a single 4 socket server, which is more than 3X of SQL 2014. “ – Rohan Kumar, Director of SQL Software Engineering. Auto-soft NUMA. Follow-up.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

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File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

The storage backend is the software module directly managing the storage device attached to physical machines. In 2008, with the emergence of Btrfs, a new implementation was built taking advantage of Btrfs’ transactions, deduplication, checksums, and compression. RADOS has been through a number of iterations in the preceding decade+.

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