SlideShare a Scribd company logo
LinuxCon 2016
An introduction to datacenter
telemetry using open source tools
Matt Brender (@mjbrender)
Briefly, About Me
Am:
@mjbrender (everywhere)
Developer Advocate,
Orchestration Engineering
Pretty good at Open Source
practices
Was:
Storage array performance
VMware
NoSQL
Loose Agenda
1. Wishful thinking of the lab config
2. What is telemetry
3. One opinion on the state of open source tooling
Let’s Test the Network
4
linuxcon.snap-telemetry.io
then
git clone
I encourage you to keep downloading stuff until you’re ready to go.
Lab Hopes
5
High Level View
6
Grafana
+
InfluxDB
Snap Snap
“Admin” ”Production”
Less High Level View
7
Your Laptop
Ubuntu 16.04
Vagrant
Ubuntu 16.04Ubuntu 16.04
Less High Level View
8
Your Laptop
Ubuntu 16.04
Vagrant
Ansible
Ubuntu 16.04Ubuntu 16.04
SnapDocker Snap
Less High Level View
9
Your Laptop
Ubuntu 16.04
Vagrant
Ansible
Ubuntu 16.04Ubuntu 16.04
SnapDocker Snap
Compose
InfluxDB Grafana
Why???
10
11
Telemetry
12
Snap
collectd
StatsD
telegraf
beats
Logstash
diamond
InfluxDB
OpenTSDB
KairosDB
Graphite
Prometheus
ElasticSearch
Bosun
Grafana
Sensu
Ganglia
RRDtool
Nagios
Facette
Vector (Netflix)
13
what my friends think telemetry is what my parents think telemetry is
what society thinks telemetry is
what my boss thinks telemetry is what I think telemetry is what telemetry actually is
What Is Telemetry?
Telemetry is the stuff you can measure and the process of capturing it: from the heat
generated on a CPU core to the throughput of Nginx* running in a Docker* container on a
Kubernetes cluster. It’s all measurable and it’s all summarized in that one word.
• Telemetry - the process of using equipment to take measurements of something and
send them to another place
• Metrics - measurements of facts throughout the data center
• Analytics - the method of logical analysis that determines the consequences of
information
What Is Telemetry?
What How
Application Availability ping
Operating System
Performance
psutil
Hardware Utilization
Intel Performance
Counter Metrics (PCM)
What Is Telemetry?
What How Why
Application Availability ping SLA compliance
Operating System
Performance
psutil System performance
Hardware Utilization
Intel Performance
Counter Metrics (PCM)
Scaling capacity
What snap is and what it isn’t
17
Telemetry Analytics
What snap is and what it isn’t
18
Telemetry Analytics
snap
snap is a framework
for metrics.
snap is NOT an
analytics alternative.
What snap is and what it isn’t
19
Telemetry Analytics
Automation
Scheduling
IRO
collect process publish
The Watcher Workflow
20
21
Collectors in snap
Processors in snap
22
Publishers in snap
23
24
Collectors in snap
Collect telemetry data once via plugins for:
§ Bare metal, including Intel specific platform metrics
(CPU, NIC, BMC, SMARTS)
§ Operating Environments and existing telemetry
(Docker, libvirt, psutil)
§ Application services and adjacencies
(Ceph, HAProxy, Etcd, Facter, MySQL, Apache)
Populate a dynamically generated single-namespace
telemetry catalog
25
Filter, alter or append metadata via plugins for:
§ Filtering (Moving Averages)
§ Normalization
§ Encryption for all or part of the data set
§ Injection of metadata
§ Tokens
§ Tenant IDs
Forking to one or more endpoints
Processors in snap
26
Publish data via plugins for:
§ Dashboard Tools
(Graphite, Grafana, Riemann)
§ Queues and Logs
(RabbitMQ, Kafka, File)
§ Databases
(PostgreSQL, InfluxDB, OpenTSDB, SAP HANA)
To one or more endpoints
Publishers in snap
Visibility at all layers
27
App
OS
HW
?
?
?
?
Analytics Pipeline
Dashboards
Visibility at all layers
28
?
App
OS
HW
Analytics Pipeline
Dashboards
Visibility at all layers
29
Snap
App
OS
HW
Analytics Pipeline
Dashboards
Visibility at all layers
30
OS
HW
Analytics Pipeline
Dashboards
App
OS
Virtualization
HW
App
Snap
Visibility at all layers
31
OS
HW
Analytics Pipeline
Dashboards
App
OS
Virtualization
HW
App
Snap
Visibility at all layers
32
OS
HW
Analytics Pipeline
Dashboards
App
OS
HW
App
Snap
Kubernetes
Visibility at all layers
OS
HW
App
Snap
Kubernetes
OS
HW
App
OS
HW
App
OS
HW
App
OS
HW
App
OS
HW
App
OS
HW
App
34
REST & CLI
Flexible
Scheduling
Caching Security
Plugin Lifecycle
Management
Worker Queues Metric Catalog Tribe
Thought Leadership Ahead
35
Warning:
Monitoring is
36
Monitoring
37
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
38
Monitoring is
Telemetry
39
Monitoring is
Telemetry
Collect
Process
Publish
Schedule
Automate
40
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
41
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
Snap
42
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
Grafana
Better Thought Leadership
43
by @obscurify by @caskey
https://github.com/mjbrender/what-we-talk-about-when-we-talk-about-telemetry
Q&A
44
FAQ
45
Do I need telemetry?
FAQ
46
I don’t need telemetry, I have
____________.
FAQ
47
I don’t need telemetry, I have
____________.Graphite
48
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
Graphite
FAQ
49
Do I need monitoring?
FAQ
50
We run ________ for monitoring.Nagios
51
Monitoring
Telemetry
Alerts
Persistence
Learning
Visualization
Logging
Notifications
Monitoring is
Nagios
What Is Telemetry? (revisited)
What How
Application Availability ping
Operating System
Performance
psutil
Hardware Utilization
Intel Performance
Counter Metrics (PCM)
What Is Telemetry? (revisited)
What Query Collect Process Publish Visualize
Application Availability ping ? ? ? ?
Operating System
Performance
psutil ? ? ? ?
Hardware Utilization PCM ? ? ? ?
How Expanded
What Is Telemetry? (revisited)
What Query Collect Process Publish Visualize
Application Availability ping ? ? ? ?
Operating System
Performance
psutil ? ? ? ?
Hardware Utilization PCM ? ? ? ?
How Expanded
Snap Grafana
55
Next Up
56
Start using Snap!
• snap-telemetry.io
• github.com/intelsdi-x
Find me:
• on The Geek Whisperers
• and @mjbrender
additional information
57
Everything is Challenging At Scale
58
Add new task
59
Add new task
60
define as a tribe
Scaling with Tribe
61
Scaling with Tribe
Add new task
62
snap | What’s next?
Physical/Virtual Host
Scheduler
Processing
Publishing
Collection
63
snap | What’s next?
64
Physical/VM Host
Physical/VM Host
Physical/VM Host
Physical/VM Host
Physical/VM Host Physical/VM Host
Collection
Collection
Collection
Scheduler
Processing Publishing
§ Plugin load
§ Dynamic, does not require restart
§ Automatically is informed by plugin on the features, metrics, and configuration detail.
§ Dynamically extends the metric catalog when loaded.
§ Plugin unload
§ Removes metrics from catalog automatically
§ Loading a new plugin automatically upgrades running workflows in tasks
§ Optionally the collection can be pinned to a version
(ex: get /intel/server/cpu/load/v1)
§ Each scheduled workflow automatically uses the most mature plugin for that step
§ Coupled with dynamic plugin loading results in instantaneous updates to existing workflows
§ Helpful for bug fixes, security patching, improving accuracy
snap | Plugin Lifecycle
65
Customizable definition of task and related workflow:
Collect
Publish
Publish
Collect Publish ProcessCollect Publish
Collect
Process Publish
Process Publish
snap | Overview – Example Workflows
66
The Catalog
67
Intel
PCM
psutil HAProxy
/intel/psutil/load/load1
/intel/psutil/load/load5
/intel/psutil/vm/available
/intel/pcm/EXEC
/intel/pcm/FREQ
/intel/linux/docker/cpu_stats/throttling_data/periods
snapctl metric list
/intel/server/health/score
Docker
Intel
Health
/intel/haproxy/info/MaxConnRate
snap
Ad

More Related Content

What's hot (20)

Netflix SRE perf meetup_slides
Netflix SRE perf meetup_slidesNetflix SRE perf meetup_slides
Netflix SRE perf meetup_slides
Ed Hunter
 
Prometheus with Grafana - AddWeb Solution
Prometheus with Grafana - AddWeb SolutionPrometheus with Grafana - AddWeb Solution
Prometheus with Grafana - AddWeb Solution
AddWeb Solution Pvt. Ltd.
 
Monitoring Kubernetes with Prometheus
Monitoring Kubernetes with PrometheusMonitoring Kubernetes with Prometheus
Monitoring Kubernetes with Prometheus
Grafana Labs
 
RxNetty vs Tomcat Performance Results
RxNetty vs Tomcat Performance ResultsRxNetty vs Tomcat Performance Results
RxNetty vs Tomcat Performance Results
Brendan Gregg
 
Linux 4.x Tracing Tools: Using BPF Superpowers
Linux 4.x Tracing Tools: Using BPF SuperpowersLinux 4.x Tracing Tools: Using BPF Superpowers
Linux 4.x Tracing Tools: Using BPF Superpowers
Brendan Gregg
 
LISA17 Container Performance Analysis
LISA17 Container Performance AnalysisLISA17 Container Performance Analysis
LISA17 Container Performance Analysis
Brendan Gregg
 
Get Lower Latency and Higher Throughput for Java Applications
Get Lower Latency and Higher Throughput for Java ApplicationsGet Lower Latency and Higher Throughput for Java Applications
Get Lower Latency and Higher Throughput for Java Applications
ScyllaDB
 
Designing Tracing Tools
Designing Tracing ToolsDesigning Tracing Tools
Designing Tracing Tools
Brendan Gregg
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...
SignalFx
 
Kernel Recipes 2017: Using Linux perf at Netflix
Kernel Recipes 2017: Using Linux perf at NetflixKernel Recipes 2017: Using Linux perf at Netflix
Kernel Recipes 2017: Using Linux perf at Netflix
Brendan Gregg
 
Velocity 2015 linux perf tools
Velocity 2015 linux perf toolsVelocity 2015 linux perf tools
Velocity 2015 linux perf tools
Brendan Gregg
 
Linux Performance Analysis: New Tools and Old Secrets
Linux Performance Analysis: New Tools and Old SecretsLinux Performance Analysis: New Tools and Old Secrets
Linux Performance Analysis: New Tools and Old Secrets
Brendan Gregg
 
Debugging node in prod
Debugging node in prodDebugging node in prod
Debugging node in prod
Yunong Xiao
 
Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016
Brendan Gregg
 
Performance optimization 101 - Erlang Factory SF 2014
Performance optimization 101 - Erlang Factory SF 2014Performance optimization 101 - Erlang Factory SF 2014
Performance optimization 101 - Erlang Factory SF 2014
lpgauth
 
LISA2010 visualizations
LISA2010 visualizationsLISA2010 visualizations
LISA2010 visualizations
Brendan Gregg
 
An Introduction to Prometheus (GrafanaCon 2016)
An Introduction to Prometheus (GrafanaCon 2016)An Introduction to Prometheus (GrafanaCon 2016)
An Introduction to Prometheus (GrafanaCon 2016)
Brian Brazil
 
Netflix: From Clouds to Roots
Netflix: From Clouds to RootsNetflix: From Clouds to Roots
Netflix: From Clouds to Roots
Brendan Gregg
 
Prometheus Training
Prometheus TrainingPrometheus Training
Prometheus Training
Tim Tyler
 
Linux Profiling at Netflix
Linux Profiling at NetflixLinux Profiling at Netflix
Linux Profiling at Netflix
Brendan Gregg
 
Netflix SRE perf meetup_slides
Netflix SRE perf meetup_slidesNetflix SRE perf meetup_slides
Netflix SRE perf meetup_slides
Ed Hunter
 
Monitoring Kubernetes with Prometheus
Monitoring Kubernetes with PrometheusMonitoring Kubernetes with Prometheus
Monitoring Kubernetes with Prometheus
Grafana Labs
 
RxNetty vs Tomcat Performance Results
RxNetty vs Tomcat Performance ResultsRxNetty vs Tomcat Performance Results
RxNetty vs Tomcat Performance Results
Brendan Gregg
 
Linux 4.x Tracing Tools: Using BPF Superpowers
Linux 4.x Tracing Tools: Using BPF SuperpowersLinux 4.x Tracing Tools: Using BPF Superpowers
Linux 4.x Tracing Tools: Using BPF Superpowers
Brendan Gregg
 
LISA17 Container Performance Analysis
LISA17 Container Performance AnalysisLISA17 Container Performance Analysis
LISA17 Container Performance Analysis
Brendan Gregg
 
Get Lower Latency and Higher Throughput for Java Applications
Get Lower Latency and Higher Throughput for Java ApplicationsGet Lower Latency and Higher Throughput for Java Applications
Get Lower Latency and Higher Throughput for Java Applications
ScyllaDB
 
Designing Tracing Tools
Designing Tracing ToolsDesigning Tracing Tools
Designing Tracing Tools
Brendan Gregg
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...
SignalFx
 
Kernel Recipes 2017: Using Linux perf at Netflix
Kernel Recipes 2017: Using Linux perf at NetflixKernel Recipes 2017: Using Linux perf at Netflix
Kernel Recipes 2017: Using Linux perf at Netflix
Brendan Gregg
 
Velocity 2015 linux perf tools
Velocity 2015 linux perf toolsVelocity 2015 linux perf tools
Velocity 2015 linux perf tools
Brendan Gregg
 
Linux Performance Analysis: New Tools and Old Secrets
Linux Performance Analysis: New Tools and Old SecretsLinux Performance Analysis: New Tools and Old Secrets
Linux Performance Analysis: New Tools and Old Secrets
Brendan Gregg
 
Debugging node in prod
Debugging node in prodDebugging node in prod
Debugging node in prod
Yunong Xiao
 
Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016
Brendan Gregg
 
Performance optimization 101 - Erlang Factory SF 2014
Performance optimization 101 - Erlang Factory SF 2014Performance optimization 101 - Erlang Factory SF 2014
Performance optimization 101 - Erlang Factory SF 2014
lpgauth
 
LISA2010 visualizations
LISA2010 visualizationsLISA2010 visualizations
LISA2010 visualizations
Brendan Gregg
 
An Introduction to Prometheus (GrafanaCon 2016)
An Introduction to Prometheus (GrafanaCon 2016)An Introduction to Prometheus (GrafanaCon 2016)
An Introduction to Prometheus (GrafanaCon 2016)
Brian Brazil
 
Netflix: From Clouds to Roots
Netflix: From Clouds to RootsNetflix: From Clouds to Roots
Netflix: From Clouds to Roots
Brendan Gregg
 
Prometheus Training
Prometheus TrainingPrometheus Training
Prometheus Training
Tim Tyler
 
Linux Profiling at Netflix
Linux Profiling at NetflixLinux Profiling at Netflix
Linux Profiling at Netflix
Brendan Gregg
 

Viewers also liked (20)

Data Logging and Telemetry
Data Logging and TelemetryData Logging and Telemetry
Data Logging and Telemetry
Francesco Meschia
 
Commitmas 2016
Commitmas 2016Commitmas 2016
Commitmas 2016
Matthew Broberg
 
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago
 
Cashing in on logging and exception data
Cashing in on logging and exception dataCashing in on logging and exception data
Cashing in on logging and exception data
Stackify
 
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der ArendDatacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
HPDutchWorld
 
Data Center PUE Reconsidered
Data Center PUE Reconsidered Data Center PUE Reconsidered
Data Center PUE Reconsidered
Raritan
 
Building Successful Apps Using Application Telemetry and Data Driven Decision...
Building Successful Apps Using Application Telemetry and Data Driven Decision...Building Successful Apps Using Application Telemetry and Data Driven Decision...
Building Successful Apps Using Application Telemetry and Data Driven Decision...
DevOpsDays Tel Aviv
 
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel FinalTrends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Ramkumar Nagappan
 
Be The API - VMware UserCon 2016
Be The API - VMware UserCon 2016Be The API - VMware UserCon 2016
Be The API - VMware UserCon 2016
Matthew Broberg
 
Bosun Monitoring Talk at LISA14
Bosun Monitoring Talk at LISA14Bosun Monitoring Talk at LISA14
Bosun Monitoring Talk at LISA14
Kyle Brandt
 
The Real Cost of Slow Time vs Downtime
The Real Cost of Slow Time vs DowntimeThe Real Cost of Slow Time vs Downtime
The Real Cost of Slow Time vs Downtime
Radware
 
Dockerizing OpenStack for High Availability
Dockerizing OpenStack for High AvailabilityDockerizing OpenStack for High Availability
Dockerizing OpenStack for High Availability
Daniel Krook
 
Fluent-bit
Fluent-bitFluent-bit
Fluent-bit
eventdotsjp
 
DataEngConf SF16 - Collecting and Moving Data at Scale
DataEngConf SF16 - Collecting and Moving Data at Scale DataEngConf SF16 - Collecting and Moving Data at Scale
DataEngConf SF16 - Collecting and Moving Data at Scale
Hakka Labs
 
CloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago - Big Data & Cloud May 2015 - All SlidesCloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago
 
How to Make Norikra Perfect
How to Make Norikra PerfectHow to Make Norikra Perfect
How to Make Norikra Perfect
SATOSHI TAGOMORI
 
Native container monitoring
Native container monitoringNative container monitoring
Native container monitoring
Rohit Jnagal
 
Fluentd Overview, Now and Then
Fluentd Overview, Now and ThenFluentd Overview, Now and Then
Fluentd Overview, Now and Then
SATOSHI TAGOMORI
 
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Adrian Cockcroft
 
Skynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Skynet project: Monitor, analyze, scale, and maintain a system in the CloudSkynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Skynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Sylvain Kalache
 
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago lightning talk "Connecting Vehicles on Google Cloud Platfor...
CloudCamp Chicago
 
Cashing in on logging and exception data
Cashing in on logging and exception dataCashing in on logging and exception data
Cashing in on logging and exception data
Stackify
 
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der ArendDatacenter Transformation - Energy And Availability - Dio Van Der Arend
Datacenter Transformation - Energy And Availability - Dio Van Der Arend
HPDutchWorld
 
Data Center PUE Reconsidered
Data Center PUE Reconsidered Data Center PUE Reconsidered
Data Center PUE Reconsidered
Raritan
 
Building Successful Apps Using Application Telemetry and Data Driven Decision...
Building Successful Apps Using Application Telemetry and Data Driven Decision...Building Successful Apps Using Application Telemetry and Data Driven Decision...
Building Successful Apps Using Application Telemetry and Data Driven Decision...
DevOpsDays Tel Aviv
 
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel FinalTrends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Trends in HPC Power Metrics and where to from here Ramkumar Nagappan Intel Final
Ramkumar Nagappan
 
Be The API - VMware UserCon 2016
Be The API - VMware UserCon 2016Be The API - VMware UserCon 2016
Be The API - VMware UserCon 2016
Matthew Broberg
 
Bosun Monitoring Talk at LISA14
Bosun Monitoring Talk at LISA14Bosun Monitoring Talk at LISA14
Bosun Monitoring Talk at LISA14
Kyle Brandt
 
The Real Cost of Slow Time vs Downtime
The Real Cost of Slow Time vs DowntimeThe Real Cost of Slow Time vs Downtime
The Real Cost of Slow Time vs Downtime
Radware
 
Dockerizing OpenStack for High Availability
Dockerizing OpenStack for High AvailabilityDockerizing OpenStack for High Availability
Dockerizing OpenStack for High Availability
Daniel Krook
 
DataEngConf SF16 - Collecting and Moving Data at Scale
DataEngConf SF16 - Collecting and Moving Data at Scale DataEngConf SF16 - Collecting and Moving Data at Scale
DataEngConf SF16 - Collecting and Moving Data at Scale
Hakka Labs
 
CloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago - Big Data & Cloud May 2015 - All SlidesCloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago - Big Data & Cloud May 2015 - All Slides
CloudCamp Chicago
 
How to Make Norikra Perfect
How to Make Norikra PerfectHow to Make Norikra Perfect
How to Make Norikra Perfect
SATOSHI TAGOMORI
 
Native container monitoring
Native container monitoringNative container monitoring
Native container monitoring
Rohit Jnagal
 
Fluentd Overview, Now and Then
Fluentd Overview, Now and ThenFluentd Overview, Now and Then
Fluentd Overview, Now and Then
SATOSHI TAGOMORI
 
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring T...
Adrian Cockcroft
 
Skynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Skynet project: Monitor, analyze, scale, and maintain a system in the CloudSkynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Skynet project: Monitor, analyze, scale, and maintain a system in the Cloud
Sylvain Kalache
 
Ad

Similar to Intro to open source telemetry linux con 2016 (20)

Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Codemotion
 
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Demi Ben-Ari
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Demi Ben-Ari
 
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Dina Goldshtein
 
Labview1_ Computer Applications in Control_ACRRL
Labview1_ Computer Applications in Control_ACRRLLabview1_ Computer Applications in Control_ACRRL
Labview1_ Computer Applications in Control_ACRRL
Mohammad Sabouri
 
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Codemotion
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Demi Ben-Ari
 
eBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux KerneleBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux Kernel
Thomas Graf
 
Practical virtual network functions with Snabb (SDN Barcelona VI)
Practical virtual network functions with Snabb (SDN Barcelona VI)Practical virtual network functions with Snabb (SDN Barcelona VI)
Practical virtual network functions with Snabb (SDN Barcelona VI)
Igalia
 
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Zabbix
 
The power of linux advanced tracer [POUG18]
The power of linux advanced tracer [POUG18]The power of linux advanced tracer [POUG18]
The power of linux advanced tracer [POUG18]
Mahmoud Hatem
 
Spectre meltdown performance_tests - v0.3
Spectre meltdown performance_tests - v0.3Spectre meltdown performance_tests - v0.3
Spectre meltdown performance_tests - v0.3
David Pasek
 
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Puppet
 
Kubecon seattle 2018 workshop slides
Kubecon seattle 2018 workshop slidesKubecon seattle 2018 workshop slides
Kubecon seattle 2018 workshop slides
Weaveworks
 
Apache Flink(tm) - A Next-Generation Stream Processor
Apache Flink(tm) - A Next-Generation Stream ProcessorApache Flink(tm) - A Next-Generation Stream Processor
Apache Flink(tm) - A Next-Generation Stream Processor
Aljoscha Krettek
 
PGI Compilers & Tools Update- March 2018
PGI Compilers & Tools Update- March 2018PGI Compilers & Tools Update- March 2018
PGI Compilers & Tools Update- March 2018
NVIDIA
 
Python Data Science and Machine Learning at Scale with Intel and Anaconda
Python Data Science and Machine Learning at Scale with Intel and AnacondaPython Data Science and Machine Learning at Scale with Intel and Anaconda
Python Data Science and Machine Learning at Scale with Intel and Anaconda
Intel® Software
 
20141111_SOS3_Gallo
20141111_SOS3_Gallo20141111_SOS3_Gallo
20141111_SOS3_Gallo
Andrea Gallo
 
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ..."The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
Edge AI and Vision Alliance
 
No[1][1]
No[1][1]No[1][1]
No[1][1]
51 lecture
 
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Codemotion
 
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Demi Ben-Ari
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Demi Ben-Ari
 
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Self-Aware Applications: Automatic Production Monitoring (NDC Sydney 2017)
Dina Goldshtein
 
Labview1_ Computer Applications in Control_ACRRL
Labview1_ Computer Applications in Control_ACRRLLabview1_ Computer Applications in Control_ACRRL
Labview1_ Computer Applications in Control_ACRRL
Mohammad Sabouri
 
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Codemotion
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Demi Ben-Ari
 
eBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux KerneleBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux Kernel
Thomas Graf
 
Practical virtual network functions with Snabb (SDN Barcelona VI)
Practical virtual network functions with Snabb (SDN Barcelona VI)Practical virtual network functions with Snabb (SDN Barcelona VI)
Practical virtual network functions with Snabb (SDN Barcelona VI)
Igalia
 
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Mikhail Serkov - Zabbix for HPC Cluster Support | ZabConf2016
Zabbix
 
The power of linux advanced tracer [POUG18]
The power of linux advanced tracer [POUG18]The power of linux advanced tracer [POUG18]
The power of linux advanced tracer [POUG18]
Mahmoud Hatem
 
Spectre meltdown performance_tests - v0.3
Spectre meltdown performance_tests - v0.3Spectre meltdown performance_tests - v0.3
Spectre meltdown performance_tests - v0.3
David Pasek
 
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Puppet
 
Kubecon seattle 2018 workshop slides
Kubecon seattle 2018 workshop slidesKubecon seattle 2018 workshop slides
Kubecon seattle 2018 workshop slides
Weaveworks
 
Apache Flink(tm) - A Next-Generation Stream Processor
Apache Flink(tm) - A Next-Generation Stream ProcessorApache Flink(tm) - A Next-Generation Stream Processor
Apache Flink(tm) - A Next-Generation Stream Processor
Aljoscha Krettek
 
PGI Compilers & Tools Update- March 2018
PGI Compilers & Tools Update- March 2018PGI Compilers & Tools Update- March 2018
PGI Compilers & Tools Update- March 2018
NVIDIA
 
Python Data Science and Machine Learning at Scale with Intel and Anaconda
Python Data Science and Machine Learning at Scale with Intel and AnacondaPython Data Science and Machine Learning at Scale with Intel and Anaconda
Python Data Science and Machine Learning at Scale with Intel and Anaconda
Intel® Software
 
20141111_SOS3_Gallo
20141111_SOS3_Gallo20141111_SOS3_Gallo
20141111_SOS3_Gallo
Andrea Gallo
 
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ..."The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
"The Caffe2 Framework for Mobile and Embedded Deep Learning," a Presentation ...
Edge AI and Vision Alliance
 
Ad

More from Matthew Broberg (7)

Where Do We Go From Here?
Where Do We Go From Here?Where Do We Go From Here?
Where Do We Go From Here?
Matthew Broberg
 
A Geek Whisperer's Guide to Career Options
A Geek Whisperer's Guide to Career OptionsA Geek Whisperer's Guide to Career Options
A Geek Whisperer's Guide to Career Options
Matthew Broberg
 
Commitmas 2015
Commitmas 2015Commitmas 2015
Commitmas 2015
Matthew Broberg
 
Social Media Communities Explained - They're Like Puppies
Social Media Communities Explained - They're Like PuppiesSocial Media Communities Explained - They're Like Puppies
Social Media Communities Explained - They're Like Puppies
Matthew Broberg
 
Social Benchmarking Training
Social Benchmarking TrainingSocial Benchmarking Training
Social Benchmarking Training
Matthew Broberg
 
How to Pitch an Idea - Lessons from EMC TV & Toastmasters
How to Pitch an Idea - Lessons from EMC TV & ToastmastersHow to Pitch an Idea - Lessons from EMC TV & Toastmasters
How to Pitch an Idea - Lessons from EMC TV & Toastmasters
Matthew Broberg
 
Social influence
Social influenceSocial influence
Social influence
Matthew Broberg
 
Where Do We Go From Here?
Where Do We Go From Here?Where Do We Go From Here?
Where Do We Go From Here?
Matthew Broberg
 
A Geek Whisperer's Guide to Career Options
A Geek Whisperer's Guide to Career OptionsA Geek Whisperer's Guide to Career Options
A Geek Whisperer's Guide to Career Options
Matthew Broberg
 
Social Media Communities Explained - They're Like Puppies
Social Media Communities Explained - They're Like PuppiesSocial Media Communities Explained - They're Like Puppies
Social Media Communities Explained - They're Like Puppies
Matthew Broberg
 
Social Benchmarking Training
Social Benchmarking TrainingSocial Benchmarking Training
Social Benchmarking Training
Matthew Broberg
 
How to Pitch an Idea - Lessons from EMC TV & Toastmasters
How to Pitch an Idea - Lessons from EMC TV & ToastmastersHow to Pitch an Idea - Lessons from EMC TV & Toastmasters
How to Pitch an Idea - Lessons from EMC TV & Toastmasters
Matthew Broberg
 

Recently uploaded (20)

Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
University of Hawai‘i at Mānoa
 
Xforce Keygen 64-bit AutoCAD 2025 Crack
Xforce Keygen 64-bit AutoCAD 2025  CrackXforce Keygen 64-bit AutoCAD 2025  Crack
Xforce Keygen 64-bit AutoCAD 2025 Crack
usmanhidray
 
Mastering OOP: Understanding the Four Core Pillars
Mastering OOP: Understanding the Four Core PillarsMastering OOP: Understanding the Four Core Pillars
Mastering OOP: Understanding the Four Core Pillars
Marcel David
 
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Dele Amefo
 
Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)
Allon Mureinik
 
Adobe Master Collection CC Crack Advance Version 2025
Adobe Master Collection CC Crack Advance Version 2025Adobe Master Collection CC Crack Advance Version 2025
Adobe Master Collection CC Crack Advance Version 2025
kashifyounis067
 
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMeet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Maxim Salnikov
 
Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025
kashifyounis067
 
PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025
mu394968
 
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilitySocietal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainability
Jordi Cabot
 
Adobe Illustrator Crack | Free Download & Install Illustrator
Adobe Illustrator Crack | Free Download & Install IllustratorAdobe Illustrator Crack | Free Download & Install Illustrator
Adobe Illustrator Crack | Free Download & Install Illustrator
usmanhidray
 
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest VersionAdobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Version
kashifyounis067
 
How to Optimize Your AWS Environment for Improved Cloud Performance
How to Optimize Your AWS Environment for Improved Cloud PerformanceHow to Optimize Your AWS Environment for Improved Cloud Performance
How to Optimize Your AWS Environment for Improved Cloud Performance
ThousandEyes
 
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
Egor Kaleynik
 
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxRevolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptx
nidhisingh691197
 
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
ssuserb14185
 
Download YouTube By Click 2025 Free Full Activated
Download YouTube By Click 2025 Free Full ActivatedDownload YouTube By Click 2025 Free Full Activated
Download YouTube By Click 2025 Free Full Activated
saniamalik72555
 
The Significance of Hardware in Information Systems.pdf
The Significance of Hardware in Information Systems.pdfThe Significance of Hardware in Information Systems.pdf
The Significance of Hardware in Information Systems.pdf
drewplanas10
 
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeSolidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license code
aneelaramzan63
 
Adobe Photoshop CC 2025 Crack Full Serial Key With Latest
Adobe Photoshop CC 2025 Crack Full Serial Key  With LatestAdobe Photoshop CC 2025 Crack Full Serial Key  With Latest
Adobe Photoshop CC 2025 Crack Full Serial Key With Latest
usmanhidray
 
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
University of Hawai‘i at Mānoa
 
Xforce Keygen 64-bit AutoCAD 2025 Crack
Xforce Keygen 64-bit AutoCAD 2025  CrackXforce Keygen 64-bit AutoCAD 2025  Crack
Xforce Keygen 64-bit AutoCAD 2025 Crack
usmanhidray
 
Mastering OOP: Understanding the Four Core Pillars
Mastering OOP: Understanding the Four Core PillarsMastering OOP: Understanding the Four Core Pillars
Mastering OOP: Understanding the Four Core Pillars
Marcel David
 
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Dele Amefo
 
Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)
Allon Mureinik
 
Adobe Master Collection CC Crack Advance Version 2025
Adobe Master Collection CC Crack Advance Version 2025Adobe Master Collection CC Crack Advance Version 2025
Adobe Master Collection CC Crack Advance Version 2025
kashifyounis067
 
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMeet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Meet the Agents: How AI Is Learning to Think, Plan, and Collaborate
Maxim Salnikov
 
Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025
kashifyounis067
 
PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025
mu394968
 
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilitySocietal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainability
Jordi Cabot
 
Adobe Illustrator Crack | Free Download & Install Illustrator
Adobe Illustrator Crack | Free Download & Install IllustratorAdobe Illustrator Crack | Free Download & Install Illustrator
Adobe Illustrator Crack | Free Download & Install Illustrator
usmanhidray
 
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest VersionAdobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Version
kashifyounis067
 
How to Optimize Your AWS Environment for Improved Cloud Performance
How to Optimize Your AWS Environment for Improved Cloud PerformanceHow to Optimize Your AWS Environment for Improved Cloud Performance
How to Optimize Your AWS Environment for Improved Cloud Performance
ThousandEyes
 
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...
Egor Kaleynik
 
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxRevolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptx
nidhisingh691197
 
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
ssuserb14185
 
Download YouTube By Click 2025 Free Full Activated
Download YouTube By Click 2025 Free Full ActivatedDownload YouTube By Click 2025 Free Full Activated
Download YouTube By Click 2025 Free Full Activated
saniamalik72555
 
The Significance of Hardware in Information Systems.pdf
The Significance of Hardware in Information Systems.pdfThe Significance of Hardware in Information Systems.pdf
The Significance of Hardware in Information Systems.pdf
drewplanas10
 
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeSolidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license code
aneelaramzan63
 
Adobe Photoshop CC 2025 Crack Full Serial Key With Latest
Adobe Photoshop CC 2025 Crack Full Serial Key  With LatestAdobe Photoshop CC 2025 Crack Full Serial Key  With Latest
Adobe Photoshop CC 2025 Crack Full Serial Key With Latest
usmanhidray
 

Intro to open source telemetry linux con 2016