The understanding of .NET Memory Management goes from the basics of how Windows memory works to the physical memory layout and allocation. This presentations covers both using Visual Studio IDE as main workplace.
In this session we will look over the various ways .NET is collecting memory, tips how to help GC perform better and tools that will save your day.
This is a must attend session for those who still do not know how to troubleshoot memory issues. For the rest it is a nice refresh and new look of features in .NET 4.5. As usual there will be lots of demos.
Kraken is a P2P docker image distribution system. It’s loosely based on BitTorrent protocol, fully compatible with docker registry API, and supports pluggable storage backends like S3, HDFS, etc. It successfully solved scaling problems we saw under different scenarios, also greatly sped up container deployment.
This document summarizes the updates in Ceph Pacific and previews the updates coming in Quincy. Some of the key updates in Pacific include improved usability through more hands-off defaults, distributed tracing in OSDs, and canceling ongoing scrubs. Performance improvements include more efficient PG deletion and msgr2 wire format. Telemetry features were added to collect anonymized crash reports and device health data. For Quincy, some highlights mentioned are using the mclock scheduler by default, new PG autoscaling profiles, and further BlueStore optimizations.
An introduction and evaluations of a wide area distributed storage systemHiroki Kashiwazaki
A presentation on Storage Developer Conference (SDC) 2014 in Santa Clara, California. General overview of distcloud until now and the future.
米カリフォルニア州サンタクララで開催された Storage Developer Conference 2014 での発表資料です。distcloud のこれまでとこれからの総括。
The document summarizes the efforts of three individuals to break the RPiDocker challenge of running the most Docker containers on a Raspberry Pi 2. They took a methodical approach, measuring performance and automating setup. Key steps included systemd and Docker tuning, using a highly optimized web server, and addressing the RPi2's network namespace limit. Collaboration and sharing ideas helped optimize the process and ultimately run 2499 containers, hitting a Go runtime thread limit. Working around the limit confirmed the ability to run nearly 2740 containers before hitting memory limits.
CRIU: Time and Space Travel for Linux ContainersKirill Kolyshkin
This talk describes CRIU (checkpoint/restore in userspace) software, used to checkpoint, restore, and live migrate Linux containers and processes. It describes the live migration, compares it to that of VM, and shows other uses for checkpoint/restore.
Performance optimization for all flash based on aarch64 v2.0Ceph Community
This document discusses performance optimization techniques for All Flash storage systems based on ARM architecture processors. It provides details on:
- The processor used, which is the Kunpeng920 ARM-based CPU with 32-64 cores at 2.6-3.0GHz, along with its memory and I/O controllers.
- Optimizing performance through both software and hardware techniques, including improving CPU usage, I/O performance, and network performance.
- Specific optimization techniques like data placement to reduce cross-NUMA access, multi-port NIC deployment, using multiple DDR channels, adjusting messaging throttling, and optimizing queue wait times in the object storage daemon (OSD).
- Other
Spying on the Linux kernel for fun and profitAndrea Righi
Do you ever wonder what the kernel is doing while your code is running? This talk will explore some methodologies and techniques (eBPF, ftrace, etc.) to look under the hood of the Linux kernel and understand what it’s actually doing behind the scenes.
In this session we will look over the various ways .NET is collecting memory, tips how to help GC perform better and tools that will save your day.
This is a must attend session for those who still do not know how to troubleshoot memory issues. For the rest it is a nice refresh and new look of features in .NET 4.5. As usual there will be lots of demos.
Kraken is a P2P docker image distribution system. It’s loosely based on BitTorrent protocol, fully compatible with docker registry API, and supports pluggable storage backends like S3, HDFS, etc. It successfully solved scaling problems we saw under different scenarios, also greatly sped up container deployment.
This document summarizes the updates in Ceph Pacific and previews the updates coming in Quincy. Some of the key updates in Pacific include improved usability through more hands-off defaults, distributed tracing in OSDs, and canceling ongoing scrubs. Performance improvements include more efficient PG deletion and msgr2 wire format. Telemetry features were added to collect anonymized crash reports and device health data. For Quincy, some highlights mentioned are using the mclock scheduler by default, new PG autoscaling profiles, and further BlueStore optimizations.
An introduction and evaluations of a wide area distributed storage systemHiroki Kashiwazaki
A presentation on Storage Developer Conference (SDC) 2014 in Santa Clara, California. General overview of distcloud until now and the future.
米カリフォルニア州サンタクララで開催された Storage Developer Conference 2014 での発表資料です。distcloud のこれまでとこれからの総括。
The document summarizes the efforts of three individuals to break the RPiDocker challenge of running the most Docker containers on a Raspberry Pi 2. They took a methodical approach, measuring performance and automating setup. Key steps included systemd and Docker tuning, using a highly optimized web server, and addressing the RPi2's network namespace limit. Collaboration and sharing ideas helped optimize the process and ultimately run 2499 containers, hitting a Go runtime thread limit. Working around the limit confirmed the ability to run nearly 2740 containers before hitting memory limits.
CRIU: Time and Space Travel for Linux ContainersKirill Kolyshkin
This talk describes CRIU (checkpoint/restore in userspace) software, used to checkpoint, restore, and live migrate Linux containers and processes. It describes the live migration, compares it to that of VM, and shows other uses for checkpoint/restore.
Performance optimization for all flash based on aarch64 v2.0Ceph Community
This document discusses performance optimization techniques for All Flash storage systems based on ARM architecture processors. It provides details on:
- The processor used, which is the Kunpeng920 ARM-based CPU with 32-64 cores at 2.6-3.0GHz, along with its memory and I/O controllers.
- Optimizing performance through both software and hardware techniques, including improving CPU usage, I/O performance, and network performance.
- Specific optimization techniques like data placement to reduce cross-NUMA access, multi-port NIC deployment, using multiple DDR channels, adjusting messaging throttling, and optimizing queue wait times in the object storage daemon (OSD).
- Other
Spying on the Linux kernel for fun and profitAndrea Righi
Do you ever wonder what the kernel is doing while your code is running? This talk will explore some methodologies and techniques (eBPF, ftrace, etc.) to look under the hood of the Linux kernel and understand what it’s actually doing behind the scenes.
The document discusses dense linear algebra solvers and algorithms. It provides an overview of existing software for dense linear algebra including LINPACK, EISPACK, LAPACK, ScaLAPACK, PLASMA, and MAGMA. It then discusses challenges with dense linear algebra on modern hardware including distributed memory, heterogeneity, and the high cost of communication. It introduces tile algorithms as an approach to address these challenges compared to traditional LAPACK algorithms.
The document proposes a solution to replace inode-based storage with a key-value store mapping objects directly to positions in large "volumes" or files to address scalability issues. It benchmarks significantly better performance for puts, gets, and concurrent operations compared to an XFS filesystem, using less RAM and avoiding compaction costs. Open tasks include replication, erasure coding, and testing on object servers.
FOSDEM2015: Live migration for containers is around the cornerAndrey Vagin
CRIU is a tool for checkpoint and restore of processes in Linux. It began as a project in OpenVZ in 2011 to allow migration of virtual machines without downtime. CRIU works by dumping the memory and process state of running processes, transferring that data to another machine, and restoring the processes from that saved state. Recent improvements include iterative dumping to reduce freeze times during migration and integration with tools like P.Haul for live migration of containers between hosts. CRIU is widely used and has an active development community contributing to new kernel features and enhancements to CRIU's capabilities.
The document summarizes new features and updates in Ceph's RBD block storage component. Key points include: improved live migration support using external data sources; built-in LUKS encryption; up to 3x better small I/O performance; a new persistent write-back cache; snapshot quiesce hooks; kernel messenger v2 and replica read support; and initial RBD support on Windows. Future work planned for Quincy includes encryption-formatted clones, cache improvements, usability enhancements, and expanded ecosystem integration.
We all know how CPU hungry Ceph is. What if we could change our architecture using NVMeoF?
This talk explores a theoretical setup and was given originally at Ceph Day London 2019.
Embedded Recipes 2017 - Reliable monitoring with systemd - Jérémy RosenAnne Nicolas
Embedded systems are autonomous. This simple fact is a driving force in the design of embedded systems which cannot afford the luxury of an operator to press a reset button or even a remote sysadmin to check what happened. Monitoring an application in an embedded system is a complex problem that must deal with the various ways an application can fail, detect them and restart the application if need be.
Systemd provides a comprehensive toolbox for the embedded developer to diagnose, monitor and restart the main application of an embedded system. Especially if the embedded application is a black-box software. This talk will review the tools provided by systemd for process monitoring and discuss how to easily deploy them in an embedded system.
Jérémy Rosen – Smile-Embedded and connected systems
Is It Faster to Go with Redpanda Transactions than Without Them?!ScyllaDB
P99 CONF
We all know that distributed transactions are expensive, have higher latency and lower throughput compared to a non-transactional workload. It's just common sense that when we ask a system to maintain transactional guarantees it should spend more time on coordination and thus have poorer performance, right?
Well, it's true that we can't get rid of this overhead. But at the same time each transaction defines a unit of work, so the system stops dealing with individual requests and becomes more aware about the whole workload. Basically it gets more information and may use it for new kinds of optimizations which compensate for the overhead.
In this talk I'll describe how Redpanda optimized the Kafka API and pushed throughput of distributed transactions up to eight times beyond an equivalent non-transactional workload while preserving sane latency.
Scylla Summit 2022: The Future of Consensus in ScyllaDB 5.0 and BeyondScyllaDB
Beyond the immediate schema changes supported in Scylla Open Source 5.0, learn how the Raft consensus infrastructure will enable radical new capabilities. Discover how it will enable more dynamic topology changes, tablets, immediate consistency, better and faster elasticity, and simplification to repair operations.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Pierre Mavro from Criteo discussed Couchbase usage at their company. Criteo has over 100 Couchbase clusters storing over 90TB of data serving up to 25 million queries per second. They benchmarked Couchbase and found network bandwidth and replicas increased latency. To improve, Criteo monitored latency, split workloads across clusters, automated operations, and tuned Couchbase and systems. Their changes helped Couchbase scale for Criteo's large workload.
This document evaluates options for replicating Ceph RBD volumes between clusters at CERN for disaster recovery of OpenStack volumes. It finds that snapshot mirroring provides the best performance with minimal client impact, but lacks support in OpenStack. Journal mirroring works out of the box but can lag behind and impact client performance for large writes. The evaluation aims to make snapshot mirroring work for CERN's needs by continuing testing, reporting bugs, and contributing code changes to improve RBD replication support and stability.
Fedora Virtualization Day: Linux Containers & CRIUAndrey Vagin
This document discusses Linux containers and checkpoint/restore (C/R) functionality. It provides an overview of different types of virtualization including containers and virtual machines. It then focuses on C/R, describing how it allows saving and restoring process states. It outlines the history and key components of C/R, including how it works, interfaces it uses, and features supported in the Linux kernel to enable C/R. It also discusses testing and future plans for C/R.
QNIBTerminal: Understand your datacenter by overlaying multiple information l...QNIB Solutions
Today's data center managers are burdened by a lack of aligned information of multiple layers. Work-flow events like 'job starts' aligned with performance metrics and events extracted from log facilities are low-hanging fruit that is on the edge to become use-able due to open-source software like Graphite, StatsD, logstash and alike.
This talk aims to show off the benefits of merging multiple layers of information within an InfiniBand cluster by using use-cases for level 1/2/3 personnel.
In file systems, large sequential writes are more beneficial than small random writes, and hence many storage systems implement a log structured file system. In the same way, the cloud favors large objects more than small objects. Cloud providers place throttling limits on PUTs and GETs, and so it takes significantly longer time to upload a bunch of small objects than a large object of the aggregate size. Moreover, there are per-PUT calls associated with uploading smaller objects.
In Netflix, a lot of media assets and their relevant metadata is generated and pushed to cloud.
We would like to propose a strategy to compact these small objects into larger blobs before uploading them to Cloud. We will discuss how to select relevant smaller objects, and manage the indexing of these objects within the blob along with modification in reads, overwrites and deletes.
Finally, we would showcase the potential impact of such a strategy on Netflix assets in terms of cost and performance.
This document summarizes the author's experience optimizing Gnocchi, an open source time-series database, to store metrics for hundreds of thousands of resources over many months. The author describes improving performance by adding Ceph storage nodes, tuning Ceph configurations, minimizing I/O operations, and improving the storage format. Benchmark results show the new version achieves 50% higher write throughput, 40-60% faster computation times, 30-60% better overall performance, and 30-40% fewer operations. Usage hints are also provided to help optimize for different use cases.
The document discusses recommendations for improving DB2 system availability and performance. It recommends automating the monitoring of critical DB2 messages, applying preventative service regularly, designing applications for high availability and parallelism, managing virtual storage above 16MB efficiently, and performing high performance object recovery through techniques like using DASD and parallel jobs.
This paper proposes and evaluates performance of an on-demand packet capture process in multi-core architectures. The multi-core on-demand process presented in this paper can handle higher packet throughput and is sufficiently flexible to support even complex per-packet processing logic.
This document provides information about memory hierarchy and cache design. It discusses the different types of memory technologies like SRAM and DRAM that are used at different levels of the memory hierarchy. It describes the basic operations of DRAM and SRAM. It also covers cache organization concepts like direct-mapped caches, cache hits, misses, and handling reads and writes. The goal of the memory hierarchy is to provide fast access to frequently used data while also providing large storage capacity.
Memory Hierarchy PPT of Computer Organization2022002857mbit
The document discusses memory hierarchy and cache design. It begins by listing sources used to create slides on this topic. It then provides definitions of key terms like cache hit, miss, hit time, and miss penalty. The document explains the principles of memory hierarchy, including exploiting locality of reference and implementing multiple memory levels with decreasing size but increasing speed. It discusses technologies like SRAM and DRAM that are commonly used for caches and main memory. The document also addresses four important questions in cache design: block placement, block identification, block replacement, and write strategy.
Unity - Internals: memory and performanceCodemotion
by Marco Trivellato - In this presentation we will provide in-depth knowledge about the Unity runtime. The first part will focus on memory and how to deal with fragmentation and garbage collection. The second part will cover implementation details and their memory vs cycles tradeoffs in both Unity4 and the upcoming Unity5.
The document discusses dense linear algebra solvers and algorithms. It provides an overview of existing software for dense linear algebra including LINPACK, EISPACK, LAPACK, ScaLAPACK, PLASMA, and MAGMA. It then discusses challenges with dense linear algebra on modern hardware including distributed memory, heterogeneity, and the high cost of communication. It introduces tile algorithms as an approach to address these challenges compared to traditional LAPACK algorithms.
The document proposes a solution to replace inode-based storage with a key-value store mapping objects directly to positions in large "volumes" or files to address scalability issues. It benchmarks significantly better performance for puts, gets, and concurrent operations compared to an XFS filesystem, using less RAM and avoiding compaction costs. Open tasks include replication, erasure coding, and testing on object servers.
FOSDEM2015: Live migration for containers is around the cornerAndrey Vagin
CRIU is a tool for checkpoint and restore of processes in Linux. It began as a project in OpenVZ in 2011 to allow migration of virtual machines without downtime. CRIU works by dumping the memory and process state of running processes, transferring that data to another machine, and restoring the processes from that saved state. Recent improvements include iterative dumping to reduce freeze times during migration and integration with tools like P.Haul for live migration of containers between hosts. CRIU is widely used and has an active development community contributing to new kernel features and enhancements to CRIU's capabilities.
The document summarizes new features and updates in Ceph's RBD block storage component. Key points include: improved live migration support using external data sources; built-in LUKS encryption; up to 3x better small I/O performance; a new persistent write-back cache; snapshot quiesce hooks; kernel messenger v2 and replica read support; and initial RBD support on Windows. Future work planned for Quincy includes encryption-formatted clones, cache improvements, usability enhancements, and expanded ecosystem integration.
We all know how CPU hungry Ceph is. What if we could change our architecture using NVMeoF?
This talk explores a theoretical setup and was given originally at Ceph Day London 2019.
Embedded Recipes 2017 - Reliable monitoring with systemd - Jérémy RosenAnne Nicolas
Embedded systems are autonomous. This simple fact is a driving force in the design of embedded systems which cannot afford the luxury of an operator to press a reset button or even a remote sysadmin to check what happened. Monitoring an application in an embedded system is a complex problem that must deal with the various ways an application can fail, detect them and restart the application if need be.
Systemd provides a comprehensive toolbox for the embedded developer to diagnose, monitor and restart the main application of an embedded system. Especially if the embedded application is a black-box software. This talk will review the tools provided by systemd for process monitoring and discuss how to easily deploy them in an embedded system.
Jérémy Rosen – Smile-Embedded and connected systems
Is It Faster to Go with Redpanda Transactions than Without Them?!ScyllaDB
P99 CONF
We all know that distributed transactions are expensive, have higher latency and lower throughput compared to a non-transactional workload. It's just common sense that when we ask a system to maintain transactional guarantees it should spend more time on coordination and thus have poorer performance, right?
Well, it's true that we can't get rid of this overhead. But at the same time each transaction defines a unit of work, so the system stops dealing with individual requests and becomes more aware about the whole workload. Basically it gets more information and may use it for new kinds of optimizations which compensate for the overhead.
In this talk I'll describe how Redpanda optimized the Kafka API and pushed throughput of distributed transactions up to eight times beyond an equivalent non-transactional workload while preserving sane latency.
Scylla Summit 2022: The Future of Consensus in ScyllaDB 5.0 and BeyondScyllaDB
Beyond the immediate schema changes supported in Scylla Open Source 5.0, learn how the Raft consensus infrastructure will enable radical new capabilities. Discover how it will enable more dynamic topology changes, tablets, immediate consistency, better and faster elasticity, and simplification to repair operations.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Pierre Mavro from Criteo discussed Couchbase usage at their company. Criteo has over 100 Couchbase clusters storing over 90TB of data serving up to 25 million queries per second. They benchmarked Couchbase and found network bandwidth and replicas increased latency. To improve, Criteo monitored latency, split workloads across clusters, automated operations, and tuned Couchbase and systems. Their changes helped Couchbase scale for Criteo's large workload.
This document evaluates options for replicating Ceph RBD volumes between clusters at CERN for disaster recovery of OpenStack volumes. It finds that snapshot mirroring provides the best performance with minimal client impact, but lacks support in OpenStack. Journal mirroring works out of the box but can lag behind and impact client performance for large writes. The evaluation aims to make snapshot mirroring work for CERN's needs by continuing testing, reporting bugs, and contributing code changes to improve RBD replication support and stability.
Fedora Virtualization Day: Linux Containers & CRIUAndrey Vagin
This document discusses Linux containers and checkpoint/restore (C/R) functionality. It provides an overview of different types of virtualization including containers and virtual machines. It then focuses on C/R, describing how it allows saving and restoring process states. It outlines the history and key components of C/R, including how it works, interfaces it uses, and features supported in the Linux kernel to enable C/R. It also discusses testing and future plans for C/R.
QNIBTerminal: Understand your datacenter by overlaying multiple information l...QNIB Solutions
Today's data center managers are burdened by a lack of aligned information of multiple layers. Work-flow events like 'job starts' aligned with performance metrics and events extracted from log facilities are low-hanging fruit that is on the edge to become use-able due to open-source software like Graphite, StatsD, logstash and alike.
This talk aims to show off the benefits of merging multiple layers of information within an InfiniBand cluster by using use-cases for level 1/2/3 personnel.
In file systems, large sequential writes are more beneficial than small random writes, and hence many storage systems implement a log structured file system. In the same way, the cloud favors large objects more than small objects. Cloud providers place throttling limits on PUTs and GETs, and so it takes significantly longer time to upload a bunch of small objects than a large object of the aggregate size. Moreover, there are per-PUT calls associated with uploading smaller objects.
In Netflix, a lot of media assets and their relevant metadata is generated and pushed to cloud.
We would like to propose a strategy to compact these small objects into larger blobs before uploading them to Cloud. We will discuss how to select relevant smaller objects, and manage the indexing of these objects within the blob along with modification in reads, overwrites and deletes.
Finally, we would showcase the potential impact of such a strategy on Netflix assets in terms of cost and performance.
This document summarizes the author's experience optimizing Gnocchi, an open source time-series database, to store metrics for hundreds of thousands of resources over many months. The author describes improving performance by adding Ceph storage nodes, tuning Ceph configurations, minimizing I/O operations, and improving the storage format. Benchmark results show the new version achieves 50% higher write throughput, 40-60% faster computation times, 30-60% better overall performance, and 30-40% fewer operations. Usage hints are also provided to help optimize for different use cases.
The document discusses recommendations for improving DB2 system availability and performance. It recommends automating the monitoring of critical DB2 messages, applying preventative service regularly, designing applications for high availability and parallelism, managing virtual storage above 16MB efficiently, and performing high performance object recovery through techniques like using DASD and parallel jobs.
This paper proposes and evaluates performance of an on-demand packet capture process in multi-core architectures. The multi-core on-demand process presented in this paper can handle higher packet throughput and is sufficiently flexible to support even complex per-packet processing logic.
This document provides information about memory hierarchy and cache design. It discusses the different types of memory technologies like SRAM and DRAM that are used at different levels of the memory hierarchy. It describes the basic operations of DRAM and SRAM. It also covers cache organization concepts like direct-mapped caches, cache hits, misses, and handling reads and writes. The goal of the memory hierarchy is to provide fast access to frequently used data while also providing large storage capacity.
Memory Hierarchy PPT of Computer Organization2022002857mbit
The document discusses memory hierarchy and cache design. It begins by listing sources used to create slides on this topic. It then provides definitions of key terms like cache hit, miss, hit time, and miss penalty. The document explains the principles of memory hierarchy, including exploiting locality of reference and implementing multiple memory levels with decreasing size but increasing speed. It discusses technologies like SRAM and DRAM that are commonly used for caches and main memory. The document also addresses four important questions in cache design: block placement, block identification, block replacement, and write strategy.
Unity - Internals: memory and performanceCodemotion
by Marco Trivellato - In this presentation we will provide in-depth knowledge about the Unity runtime. The first part will focus on memory and how to deal with fragmentation and garbage collection. The second part will cover implementation details and their memory vs cycles tradeoffs in both Unity4 and the upcoming Unity5.
SF Big Analytics & SF Machine Learning Meetup: Machine Learning at the Limit ...Chester Chen
Machine Learning at the Limit
John Canny, UC Berkeley
How fast can machine learning and graph algorithms be? In "roofline" design, every kernel is driven toward the limits imposed by CPU, memory, network etc. This can lead to dramatic improvements: BIDMach is a toolkit for machine learning that uses rooflined design and GPUs to achieve two- to three-orders of magnitude improvements over other toolkits on single machines. These speedups are larger than have been reported for *cluster* systems (e.g. Spark/MLLib, Powergraph) running on hundreds of nodes, and BIDMach with a GPU outperforms these systems for most common machine learning tasks. For algorithms (e.g. graph algorithms) which do require cluster computing, we have developed a rooflined network primitive called "Kylix". We can show that Kylix approaches the rooline limits for sparse Allreduce, and empirically holds the record for distributed Pagerank. Beyond rooflining, we believe there are great opportunities from deep algorithm/hardware codesign. Gibbs Sampling (GS) is a very general tool for inference, but is typically much slower than alternatives. SAME (State Augmentation for Marginal Estimation) is a variation of GS which was developed for marginal parameter estimation. We show that it has high parallelism, and a fast GPU implementation. Using SAME, we developed a GS implementation of Latent Dirichlet Allocation whose running time is 100x faster than other samplers, and within 3x of the fastest symbolic methods. We are extending this approach to general graphical models, an area where there is currently a void of (practically) fast tools. It seems at least plausible that a general-purpose solution based on these techniques can closely approach the performance of custom algorithms.
Bio
John Canny is a professor in computer science at UC Berkeley. He is an ACM dissertation award winner and a Packard Fellow. He is currently a Data Science Senior Fellow in Berkeley's new Institute for Data Science and holds a INRIA (France) International Chair. Since 2002, he has been developing and deploying large-scale behavioral modeling systems. He designed and protyped production systems for Overstock.com, Yahoo, Ebay, Quantcast and Microsoft. He currently works on several applications of data mining for human learning (MOOCs and early language learning), health and well-being, and applications in the sciences.
Accelerating HBase with NVMe and Bucket CacheNicolas Poggi
on-Volatile-Memory express (NVMe) standard promises and order of magnitude faster storage than regular SSDs, while at the same time being more economical than regular RAM on TB/$. This talk evaluates the use cases and benefits of NVMe drives for its use in Big Data clusters with HBase and Hadoop HDFS.
First, we benchmark the different drives using system level tools (FIO) to get maximum expected values for each different device type and set expectations. Second, we explore the different options and use cases of HBase storage and benchmark the different setups. And finally, we evaluate the speedups obtained by the NVMe technology for the different Big Data use cases from the YCSB benchmark.
In summary, while the NVMe drives show up to 8x speedup in best case scenarios, testing the cost-efficiency of new device technologies is not straightforward in Big Data, where we need to overcome system level caching to measure the maximum benefits.
The document discusses various aspects of computer memory systems including main memory, cache memory, and memory mapping techniques. It provides details on:
1) Main memory stores program and data during execution and consists of addressable memory cells. Memory access time is the time for a memory operation while cycle time is the minimum delay between operations.
2) Memory units include RAM, ROM, PROM, EPROM, EEPROM and flash memory which have different characteristics like volatility and ability to be written.
3) Cache memory uses fast SRAM to improve performance by taking advantage of locality of reference where nearby memory accesses are common. Mapping techniques like direct, associative and set-associative mapping determine how
Diagnosing Problems in Production - CassandraJon Haddad
1) The document discusses various tools for diagnosing problems in Cassandra production environments, including OpsCenter for monitoring, application metrics collection with Statsd/Graphite, and log aggregation with Splunk or Logstash.
2) Some common issues covered are incorrect server times causing data inconsistencies, tombstone overhead slowing queries, not using the proper snitch, and disk space not being reclaimed on new nodes.
3) Diagnostic tools described are htop, iostat, vmstat, dstat, strace, tcpdump, and nodetool for investigating process activity, disk usage, memory, networking, and Cassandra-specific statistics. GC profiling and query tracing are also recommended.
An Introduction to JVM Internals and Garbage Collection in JavaAbhishek Asthana
This document provides an overview of Java memory structures and garbage collection. It discusses the key areas of memory used by the JVM - heap, method area, native area, and threads. It then covers garbage collection concepts like roots, algorithms like mark-sweep-compact, and different GC strategies like serial, parallel, concurrent mark-sweep, and Garbage First collector. Performance metrics for evaluating GC and how objects transition between generations in generational collection are also summarized.
At Criteo we are using both .NET CLR runtime and JVM one. At first look it seems there are very similar: a bytecode, a JIT, a GC, … but in fact there is some differences in the implementation and in the vision of the targeted applications and their requirements
Let’s dig into those differences with the pros & cons
The document discusses best practices for deploying MongoDB including sizing hardware with sufficient memory, CPU and I/O; using an appropriate operating system and filesystem; installing and upgrading MongoDB; ensuring durability with replication and backups; implementing security, monitoring performance with tools, and considerations for deploying on Amazon EC2.
Presentation about the Spil Storage Platform (SSP) written in Erlang. This talk was first given at the Erlang User Group Netherlands in July 2012 hosted at Spilgames in Hilversum.
Flink Forward Berlin 2017: Robert Metzger - Keep it going - How to reliably a...Flink Forward
Let’s be honest: Running a distributed stateful stream processor that is able to handle terabytes of state and tens of gigabytes of data per second while being highly available and correct (in an exactly-once sense) does not work without any planning, configuration and monitoring. While the Flink developer community tries to make everything as simple as possible, it is still important to be aware of all the requirements and implications In this talk, we will provide some insights into the greatest operations mysteries of Flink from a high-level perspective: - Capacity and resource planning: Understand the theoretical limits. - Memory and CPU configuration: Distribute resources according to your needs. - Setting up High Availability: Planning for failures. - Checkpointing and State Backends: Ensure correctness and fast recovery For each of the listed topics, we will introduce the concepts of Flink and provide some best practices we have learned over the past years supporting Flink users in production.
Shak larry-jeder-perf-and-tuning-summit14-part2-finalTommy Lee
This document provides an overview of performance analysis and tuning techniques in Red Hat Enterprise Linux (RHEL). It discusses the tuned profile packages and how they optimize systems for different workloads. Specific topics covered include disk I/O tuning, memory tuning, network performance tuning, and power management techniques. A variety of Linux performance analysis tools are also introduced, including tuned, turbostat, netsniff-ng, and Performance Co-Pilot.
High performace network of Cloud Native Taiwan User GroupHungWei Chiu
The document discusses high performance networking and summarizes a presentation about improving network performance. It describes drawbacks of the current Linux network stack, including kernel overhead and data copying. It then discusses approaches like DPDK and RDMA that can help improve performance by reducing overhead and enabling zero-copy data transfers. A case study is presented on using RDMA to improve TensorFlow performance by eliminating unnecessary data copies between devices.
.NET Core, ASP.NET Core Course, Session 4aminmesbahi
Session 4,
What is Garbage Collector?
Fundamentals of memory
Conditions for a garbage collection
Generations
Configuring garbage collection
Workstation
Server
This document discusses memory subsystems and hierarchy. It begins by describing the memory hierarchy which includes registers, main memory (RAM), and external memory. It then discusses different types of memory in terms of read/write capability, volatility, and erasure mechanisms. The document outlines cache organization and mapping techniques including direct mapping, set associative, and fully associative mapping. It provides examples of address mapping for each technique. The document also discusses RAM and ROM types as well as memory subsystem organization.
MemGuard: Memory Bandwidth Reservation System for Efficient Performance Isola...Heechul Yun
This document describes MemGuard, an operating system mechanism for providing efficient per-core memory performance isolation on commercial off-the-shelf hardware. MemGuard uses memory bandwidth reservation to guarantee each core's minimum memory bandwidth. It then performs predictive bandwidth donation and on-demand reclaiming to redistribute excess bandwidth, improving overall utilization. Evaluation shows MemGuard isolates performance and eliminates over 50% slowdown of a foreground real-time task due to interference, while maximizing throughput via bandwidth sharing.
Quick, what do memcache, MogileFS, and Gearman have in common? They are scalable, distributed technologies, and they can also interface with PHP, your ubiquitous web development language. Digg uses all 3 (and a few more) in its quest for social news domination, and this presentation shares what we’ve learned about them and how they are best utilized with PHP.
CoreCLR is the OSS release of CLR as we know it. Today we are able to build CLR in Debug configuration, set breakpoints and gather additional logging info available so far only to Microsoft .NET team.
This document provides information about Team Foundation Server and Team Foundation Service, which are tools for software configuration management, version control, agile planning, issue tracking, continuous integration builds, and reporting. It also discusses the free plan for up to 5 users and paid plans with additional features. The document then provides information about Windows Azure and its capabilities for building applications in the cloud, including virtual machines, web sites, mobile services, cloud services, SQL database, cache, service bus, and the Windows Azure store. Links are provided for additional information.
Demystifying Visual Studio 2012 Performance ToolsMartin Kulov
This document discusses various performance analysis tools for Visual Studio including trace analysis, event tracing for Windows (ETW), performance counters, and profiling. It provides information on how these tools can be used to measure code and system performance, gather debugging information like call stacks and symbols, and identify bottlenecks and resource contention. Examples are given of the types of data and events that can be captured from the operating system, .NET framework, and applications to help optimize performance.
This document provides instructions on how to build a content delivery network (CDN) to improve website performance. It discusses how page sizes and mobile traffic are increasing, causing slower load times. A typical website loads resources from a single web server, taking 10 seconds. Using a CDN can get content closer to users, load resources in parallel, and improve speeds. The document reviews existing CDNs and how to set up an on-premise or cloud CDN using technologies like Azure CDN, which can deliver content to users worldwide from multiple edge servers for faster load times.
This document discusses source code management systems. It covers the application lifecycle including requirements, architecture, coding, testing, tracking and release management. It then discusses source control/version control systems including repositories, revision tools and software tools for both client-server and distributed version control systems. It provides examples of common source control workflows and operations. It also discusses branching strategies and potential issues with branching and merging.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
2. "Out of CPU, memory and disk, memory is
typically the most important for overall system
performance."
Mark Russinovich
“All you worry about in a .NET application is the
memory.”
John Robbins
18. • a.k.a. Generational Garbage Collector
/GC/
• Three Generations /SOH/
– Gen0 – short lived
– Gen1 – medium lived
– Gen2 – long lived
Nondeterministic Finalization
19. • Contiguous Memory Areas
• Ephemeral Segment
– Holds Gen0, Gen1
– There Can Be Only One
• Gen2 Segments
Segments
20. Before GC #1
Gen1 Gen0
Before GC #500
Gen2
Gen2
Gen2 Gen1 Gen0
Gen0
Before GC #0
Before GC #2
Gen2 Gen1 Gen0
Before GC #100
Gen2
Gen2 Gen1 Gen0
21. Allocation - Cost
• Cheap Lock on UP; Lock Free on MP
• Moving a Pointer Forward
• Clearing the Memory for New Objects
• Register for Finalization if Applicable
• Object Proximity
22. Collection - When
• Gen0 is Full
• Induced GC /System.GC.Collect()/
• System Pressure
24. Collection - Cost
• Rule of Thumb – Ratio 1:10:100
• .NET CLR Memory% time in GC
• .NET CLR Memory# Induced GC
• .NET CLR Memory# Gen X collections
25. Large Object Heap
• > 85KB /or >1,000 doubles/
• Memory is Swept During Gen2 /Marked as
Free/
• Avoid Temporary Large Objects in LOH
• Reuse Objects in LOH If Possible
• Many LOH Segments
• Fragmentation Problems
26. Collection - How
• Suspend Managed Threads
• Collect Garbage
• Resume Managed Threads
• Two Phases of GC
– Mark
– Compact
27. GC Types
• Workstation GC – Non Concurrent
• Server GC – Non Concurrent
• Workstation GC – Concurrent
– Background GC /New in .NET 4/
• Server GC – Background /New in .NET
4.5/
Operating Systems and PAE Supporthttp://msdn.microsoft.com/en-us/windows/hardware/gg487512.aspxPhysical Address ExtensionHttp://en.wikipedia.org/wiki/Physical_Address_ExtensionMemory Limits for Windows Releaseshttp://msdn.microsoft.com/en-us/library/aa366778.aspx
Pushing the Limits of Windows: Physical Memoryhttp://blogs.technet.com/b/markrussinovich/archive/2008/07/21/3092070.aspxPushing the Limits of Windows: Virtual Memoryhttp://blogs.technet.com/b/markrussinovich/archive/2008/11/17/3155406.aspxPage Frame Number (PFN) databasehttp://social.technet.microsoft.com/wiki/contents/articles/15259.page-frame-number-pfn-database.aspx
Operating Systems and PAE Supporthttp://msdn.microsoft.com/en-us/windows/hardware/gg487512.aspxPhysical Address ExtensionHttp://en.wikipedia.org/wiki/Physical_Address_ExtensionMemory Limits for Windows Releaseshttp://msdn.microsoft.com/en-us/library/aa366778.aspx
.NET CLR Memory\% time in GC - This counter measures the amount of CPU time you spend in GC and it is calculated as (CPU time for GC/CPU time since last GC) .NET CLR Memory\# Induced GC – This is the number of garbage collections that have occurred as a result of someone calling GC.Collect(). Ideally this should be 0 since inducing full collections means that you spend more time in the GC, and also because the GC continuously adapts itself to the allocation patterns in the application, and performing manual GCs skews this optimization. .NET CLR Memory\# Gen X collections – This counter displays the amount of collections that have been performed for a given generation. Since the cost of gen 2 collections is high compared to Gen 1 and Gen 0 you want to have as few Gen 2 collections per Gen 1 and Gen 0 collections as possible. A ratio of 1:10:100 is pretty good.