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chg: updates Library and fixed Jekyll version problems in MacOs M1
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jorge-cardoso committed Oct 28, 2024
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9 changes: 8 additions & 1 deletion Gemfile
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# Skinny Bones Gemfile
source "https://rubygems.org"

gem "jekyll", '= 4.0.1'
gem "jekyll", '= 4.3.4'
gem "jekyll-sitemap"

gem 'logger'
gem 'csv'
gem 'ostruct'
gem 'base64'
gem 'bigdecimal'

gem "sass"
gem "bourbon"
gem "neat"
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -15,7 +15,7 @@ Steps to Run ``bundle exec jekyll serve``

ruby -v

If Ruby is not installed, you can install it using a package manager:
If Ruby 3.2.3 is not installed, you can install it using a package manager:

- **MacOS**: Using Homebrew::

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34 changes: 17 additions & 17 deletions library/index.md
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toc: true
---

**Under constructions**
This library showcases R&D systems, including both proof-of-concept and production systems, that we have developed and that we made available to the general public.

**UI Design**
- [XXX](/library/2023-04-12-Security_Operations_Lecture.pdf) (SecOps) integrates monitoring, tools, processes, and technology to keep IT secure while reducing risk.

**Cloud Computing, intelligent management**
- [Security Operations](/library/2023-04-12-Security_Operations_Lecture.pdf) (lecture at TUB) SecOps integrates monitoring, tools, processes, and technology to keep IT secure while reducing risk.
- [Intelligent Log Analysis](/library/2020-02-22-Intelligent_Log_Analysis_lecture.pdf) (lecture at TUB): Explore the use of structured logging to facilitate the application of AI/ML methods for Root-cause analysis
**Cloud and intelligent management** (1)

- [Security Operations](/library/2023-04-12-Security_Operations_Lecture.pdf): SecOps integrates monitoring, tools, processes, and technology to keep IT secure while reducing risk.
- [Intelligent Log Analysis](/library/2020-02-22-Intelligent_Log_Analysis_lecture.pdf): Explore the use of structured logging to facilitate the application of AI/ML methods for Root-cause analysis
- [Cloud Computing](/library/cloud_computing): Overview, concept, web APIs, platforms, applications, and BPM
- [Hypervisor Reliability](/library/2023-12-20_Hypervisor_Anomaly_Detection_Lecture.pdf): Identifying health issues of hypervisors correlated with latent failures.


**Openstack, distributed tracing**
- Lectures at TUM and TUB
- [Introduction](/library/openstack/Part_1_Introduction.pdf) Hyperscalers, cloud monitoring, AI and O&M, monitoring formats, ML for O&M.
- [OpenStack Cloud OS](/library/openstack/Part_2_OpenStack_Cloud.pdf) Virtualization, public clouds, openstack system design, openstack services (IMS, compute, nova, scheduler, network, storage).
- [OpenStack Hands-on](/library/openstack/Part_3_Openstack_Hands-on.pdf) Setup infrastructure, install Openstack, CLI, launch instances, attach volumes, create networks, distributed tracing.
- [Distributed Tracing Technologies](/library/openstack/Part_4_Distributed_Tracing_Technologies.pdf) Workflow for VM creation, tracing concetps, tracing systems, Zipkin, Jaeger, OpenTracing, OSProfiler.
- [Distributed Trace Analysis](/library/openstack/Part_5_Distributed_Trace_Analysis.pdf) Monitoring data sources, troubleshooting with tracing, feature selection, trace abstraction, time series analysis, sequence analysis. LSTM.
- [Distributed Trace Analysis (Hands-on)](/library/openstack/Part_6_Distributed_Trace_Analysis_Hands_on.ipynb) Jupyter notebook with running code for dsitributed trace analysis for Openstack.
- [Cloud Benchmarking](/library/openstack/Part_8_Cloud_Benchmarking.pdf) Benchmarking public cloud platforms, ECS and RDS benchmarking.
<div style="margin-bottom: 15px;"></div>
**Openstack and distributed tracing** (1,2)

**Service management, frameworks**
- [ITIL](/library/2023-04-12-Security_Operations_Lecture.pdf) (SecOps) integrates monitoring, tools, processes, and technology to keep IT secure while reducing risk.
- [Introduction](/library/openstack/Part_1_Introduction.pdf): Hyperscalers, cloud monitoring, AI and O&M, monitoring formats, ML for O&M.
- [OpenStack Cloud OS](/library/openstack/Part_2_OpenStack_Cloud.pdf): Virtualization, public clouds, openstack system design, openstack services (IMS, compute, nova, scheduler, network, storage).
- [OpenStack Hands-on](/library/openstack/Part_3_Openstack_Hands-on.pdf): Setup infrastructure, install Openstack, CLI, launch instances, attach volumes, create networks, distributed tracing.
- [Distributed Tracing Technologies](/library/openstack/Part_4_Distributed_Tracing_Technologies.pdf): Workflow for VM creation, tracing concetps, tracing systems, Zipkin, Jaeger, OpenTracing, OSProfiler.
- [Distributed Trace Analysis](/library/openstack/Part_5_Distributed_Trace_Analysis.pdf): Monitoring data sources, troubleshooting with tracing, feature selection, trace abstraction, time series analysis, sequence analysis. LSTM.
- [Distributed Trace Analysis (Hands-on)](/library/openstack/Part_6_Distributed_Trace_Analysis_Hands_on.ipynb): Jupyter notebook with running code for dsitributed trace analysis for Openstack.
- [Cloud Benchmarking](/library/openstack/Part_8_Cloud_Benchmarking.pdf): Benchmarking public cloud platforms, ECS and RDS benchmarking.


<div style="margin-bottom: 15px;"></div>
<p style="font-size: 0.75em;"> (1) Technical University of Berlin (TUB), (2) Technical University of Munich (TUM) </p>

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