Configuring Kubernetes for Reliability with LitmusChaos (08/2021)
Configuring Kubernetes for Reliability with LitmusChaos
WEBRip | English | MP4 | 1280 x 720 | AVC ~1649 Kbps | 30 fps
AAC | 128 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | ~4.5 hours | 2.9 GB
AAC | 128 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | ~4.5 hours | 2.9 GB
Genre: eLearning Video / Other IT & Software, Kubernetes
Build Kubernetes-native Resilient Microservices and Reliability Pipelines (LitmusChaos, Argo Workflows, Terraform, Helm)What you'll learn
Build Reliability Pipelines with CNCF LitmusChaos and Argo Workflows to continuously ensure reliability of your systems
Configure Kubernetes for Resilient Microservices with Cluster Autoscaler, Node Termination Handler, Descheduler and Overprovisioning
Deploy Amazon EKS clusters with Microservices in AWS Cloud using Terraform and Helm 3
Leverage AWS Spot instances which are times cheaper than regular EC2 ones, while achieving zero-downtime
Requirements
Basic knowledge of Kubernetes, Terraform, Helm, Docker, and AWS (scope of introductory tutorials online)
Description
This course is for DevOps engineers and SRE-s who want to configure Kubernetes for RELIABILITY. In particular, for highly Resilient Microservices and for Reliability Pipelines in their CI/CD.
The primary technologies used in the course are LitmusChaos, Argo Workflows, Terraform, Helm and Jenkins automation server.
This course consists of guided labs on Amazon EKS with explanations and corresponding quizzes:
An introductory case study demonstrating a simple resilience improvement: add more microservice replicas, verify with LitmusChaos
Numerous advanced case studies, for example about achieving zero-downtime of microservices on cost-efficient EC2 Spot Instances
Resources included
All the Reliability Pipelines and Experiments (LitmusChaos, Argo Workflows)
Full Terraform and Helm definitions of the Amazon EKS cluster with system Charts and Microservices
Universal "DevOps Tools" Docker container with Terraform, Helm, kubectl, AWS CLI, etc.
At the end of our course, students will be able to:
Build Reliability Pipelines with CNCF LitmusChaos and Argo Workflows to continuously ensure reliability of their systems
Configure Kubernetes for Resilient Microservices with Cluster Autoscaler, Node Termination Handler, Descheduler and Overprovisioning
Deploy Amazon EKS clusters with Microservices in AWS Cloud using Terraform and Helm 3
Leverage AWS Spot instances which are times cheaper than regular EC2 ones, while achieving zero-downtime
Course prerequisites
Students are expected to have some basic knowledge in Kubernetes, Terraform, Helm, Docker, and AWS before starting this course. They are welcome to complete corresponding introductory tutorials online on their own, if some of the listed technologies are completely new for them.
Who this course is for:
DevOps engineers and SRE-s who want to configure Kubernetes for RELIABILITY. In particular, for highly Resilient Microservices and for Reliability Pipelines in their CI/CD.
also You can find my other useful: IT Software-posts
General
Complete name : 003 Lab_ Cluster Autoscaler, control Worker Nodes count.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 206 MiB
Duration : 16 min 7 s
Overall bit rate : 1 786 kb/s
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Frame rate : 30.000 FPS
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Duration : 16 min 7 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
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Frame rate : 46.875 FPS (1024 SPF)
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Complete name : 003 Lab_ Cluster Autoscaler, control Worker Nodes count.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 206 MiB
Duration : 16 min 7 s
Overall bit rate : 1 786 kb/s
Writing application : Lavf58.12.100
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L3.1
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 16 min 7 s
Bit rate : 1 649 kb/s
Nominal bit rate : 3 000 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.060
Stream size : 190 MiB (92%)
Writing library : x264 core 148
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 16 min 7 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 48.0 kHz
Frame rate : 46.875 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 14.8 MiB (7%)
Default : Yes
Alternate group : 1
Screenshots
Configuring Kubernetes for Reliability with LitmusChaos (08/2021)
Configuring Kubernetes for Reliability with LitmusChaos (08/2021)
Configuring Kubernetes for Reliability with LitmusChaos (08/2021)
Configuring Kubernetes for Reliability with LitmusChaos (08/2021)
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