This document introduces Kubernetes monitoring. It discusses monitoring tools like Datadog and Prometheus, how they work, and how to set them up. It provides an overview of monitoring concepts like observability and the monitoring landscape. Example metrics are shown for Datadog and Prometheus, and demos of Prometheus and Grafana are presented.
WSO2 Screencast - How to Easily Build a Git-Based CI/CD Pipeline for your API...Wasura Wattearachchi
This is the slides deck for the screencast "How to Easily Build a Git-Based CI/CD Pipeline for your APIs with Jenkins?". The link of the screencast is below.
https://www.youtube.com/watch?v=yFI4VNqPNBg
Modern DevOps with Spinnaker/Concourse and MicrometerJesse Tate Pulfer
Learn how you can leverage the recent addition of Micrometer to the Spring ecosystem and Cloud Foundry to the Spinnaker ecosystem to help you deliver code quickly and safely. Some highlights include:
Micrometer’s real-time application monitoring capabilities
Spinnaker’s visibility into what is going on in the system
Spinnaker’s safety of deployments and rollbacks
Spinnaker’s deployment scalability
Observability & Continuous Deployment, The Big Picture with Adib Saikali
10:15-11:00am Micrometer: Four Key Performance Indicators for Every Java Service with Jon Schneider
11:00-11:15am Micrometer & PCF with Victor Szoltysek
11:15-11:25am Break
11:25-12:15pm Spinnaker 101 with Olga Kundzich
12:15-12:45pm Lunch
12:45-1:30pm Concourse 101: Container Based CI with Concourse with Jamil Shamy
1:30-1:40pm Break
1:40-2:40pm Putting all the tools together Continuous Deployment with Concourse / Spinnaker / Micrometer & PCF with Jon Schneider
2:40-2:50pm Break
2:50-3:30pm Panel with Concourse / Spinnaker & Micrometer Team
3:30pm Wrap Up
WSO2 Screencast - How to Easily Build a Git-Based CI/CD Pipeline for your API...Wasura Wattearachchi
This is the slides deck for the screencast "How to Easily Build a Git-Based CI/CD Pipeline for your APIs with Jenkins?". The link of the screencast is below.
https://www.youtube.com/watch?v=yFI4VNqPNBg
Modern DevOps with Spinnaker/Concourse and MicrometerJesse Tate Pulfer
Learn how you can leverage the recent addition of Micrometer to the Spring ecosystem and Cloud Foundry to the Spinnaker ecosystem to help you deliver code quickly and safely. Some highlights include:
Micrometer’s real-time application monitoring capabilities
Spinnaker’s visibility into what is going on in the system
Spinnaker’s safety of deployments and rollbacks
Spinnaker’s deployment scalability
Observability & Continuous Deployment, The Big Picture with Adib Saikali
10:15-11:00am Micrometer: Four Key Performance Indicators for Every Java Service with Jon Schneider
11:00-11:15am Micrometer & PCF with Victor Szoltysek
11:15-11:25am Break
11:25-12:15pm Spinnaker 101 with Olga Kundzich
12:15-12:45pm Lunch
12:45-1:30pm Concourse 101: Container Based CI with Concourse with Jamil Shamy
1:30-1:40pm Break
1:40-2:40pm Putting all the tools together Continuous Deployment with Concourse / Spinnaker / Micrometer & PCF with Jon Schneider
2:40-2:50pm Break
2:50-3:30pm Panel with Concourse / Spinnaker & Micrometer Team
3:30pm Wrap Up
Monitoring Your AWS EKS Environment with DatadogDevOps.com
Join Datadog for a webinar on monitoring Kubernetes with a focus on Amazon EKS. You'll learn how to get the most out of Datadog's intuitive platform and EKS's unique capabilities, including:
How to monitor metrics, logs and traces from your EKS environment
How to test the usability of your environment with features such as adaptive Browser Tests and globally available Real User Monitoring
How to find and fix user-facing issues with synthetic monitoring features like adaptive Browser Tests and globally available Real User Monitoring
n this presentation you will learn why enterprises are so excited about OpenShift, the Container Platform by Red Hat. This platform leverages open source technologies like Docker and Kubernetes, to deliver a platform ready for agile application development, while providing ops the stability they need for production deployments. In this presentation we will cover how OpenShift meets these challenges, and give you some insight in how OpenShift is working.
Behind the Code 'September 2022 // by ExnessMaxim Gaponov
Here you can find slides from the Behind The Code information security meet-up hosted by Exness on September 30 2022.
Next events are to come, stay tuned!
Idea to Production - with Gitlab and KubernetesSimon Dittlmann
Setting up a continuous delivery pipeline form scratch with gitlab.com and Kubernetes (Google Container Service GKE) on Google Cloud Platform.
The entire source code is available at https://github.com/Pindar/gcloud-k8s-express-app
Blog post https://www.itnotes.de/gitlab/kubernetes/k8s/gke/gcloud/2017/03/05/idea-to-production-with-gitlab-and-kubernetes/
This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
Bring-your-ML-Project-into-Production-v2.pdfLiang Yan
Machine Learning (ML) is quite popular today in the academic/research world. However, it is quite difficult to put into a product, especially a product with a huge customer base. This session will give Kubeflow, the open source ML toolkit on top of Kubernetes, a deep look from the MLOps perspective. Furthermore, we will have a brief look at Distributed MLSys and how Kubeflow copes with scalability. Last, a demo of the Kubeflow stack setup and ML project pipeline deployment will be demonstrated in the cloud.
Kubernetes fingerprinting with Prometheus.pdfKawimbaLofgrens
How Attackers Use Exposed
Prometheus Server to Exploit
Kubernetes Clusters.
The first step in any pentesting, ethical hacking or cybercriminal groups, is to
gather as much information as you can about the target you want to breach.
Why? Simple, to know what technique to use or the appropriate tools to achieve
intrusion and evasion of defense systems.
Information on versions inside the cluster can map to CVE and vulnerabilities that
can be exploited.
Information on applications, tools and architectures can be used for competitors.
Prometheus in the wild
Title
Prometheus collects and stores its metrics as time series data, i.e. metrics information is
stored with the timestamp at which it was recorded, alongside optional key-value pairs
called labels.
Prometheus allows (and recommends) using basic authentication, but not enabled by
default: https://prometheus.io/docs/operating/security/
Exposing open Prometheus endpoints to the Internet is a bad idea... and as every bad
idea, it's highly adopted:
What will we us to fingerprint Kubernetes?
Title
Two of the most widely used exporters offer most of the
information that we need:
Node ExporterKube State Metrics
●
●●
●
●
●
●
●
Physical infrastructure
Network interfaces
Host OS & kernel
Kubernetes components
Hostnames and network topology
Logical hierarchy
Secrets location
Applications (and versions) deployed
Fingerprinting Physical Infrastructure
Title
Node Exporter:
node_dmi_info
bios_vendor:
● SeaBIOS
● Amazon EC2
bios_version:
● seabios-1.9.1-qemu-project.org
● 8f19b21
● 1.0
bios_release:
● 1.0
bios_date:
● 10/16/2017
● 04/01/2014
chassis_asset_tag:
● Amazon EC2
chassis_vendor:
● Amazon EC2
● Alibaba Cloud
system_vendor:
● Tencent Cloud
● Amazon EC2
● Alibaba Cloud
product_name:
● m5.xlarge
● Alibaba Cloud ECS
product_version:
● pc-i440fx-2.1
board_vendor:
● Amazon EC2
board_asset_tag:
● i-00280f617XXXXX
board_vendor:
● Smdbmds
● Amazon EC2
Fingerprinting network interfaces
Title
Node Exporter:
node_network_info{device=~'eth.+'}
{
address="06:d5:XX:XX:XX:XX",
broadcast="ff:ff:ff:ff:ff:ff",
device="eth0",
instance="172.31.XX.XX:9100",
instance_az="us-west-2a",
instance_id="i-XXXXX",
instance_name="XXX-XXX",
instance_type="c5.xlarge",
instance_vpc="vpc-XXXXXXX",
job="ec2_instances",
operstate="up"
}
Fingerprinting network topology
Title
KSM:
kube_node_info
kube_service_info * on (service) group_left group by
(service,type)(kube_service_spec_type{type="LoadBalancer"})
kube_ingress_info
Node hostname
Services in the cluster (specially load-balancers)
● namespace
● cluster IP
● node
● (application behind the service can be guessed
by name of service/namespace)
Ingresses in the cluster
Jenkins2 - Coding Continuous Delivery PipelinesBrent Laster
Introduction to Jenkins 2 for creating pipelines - presented by Brent Laster, author of Jenkins 2, Up and Running, at Open Source 101 in Raleigh, February 2018
(From 2018) Kubernetes and Istio provide a great foundation for orchestrating, monitoring, and scaling your apps. They're open source and work great in your data center or in any major cloud. Meanwhile, the serverless development model has empowered devs to build software faster than ever by eliminating concerns like scaling, networking, load balancing, OS patching, etc.
Come learn how you can combine the power of Kubernetes with the ease of use of serverless to create new, powerful and flexible development experiences.
See me give this talk in 2018 at https://www.youtube.com/watch?v=bYxOx9tcYDE&ab_channel=Devoxx
----
About Bret McGowen
Bret is a Developer Advocate for Serverless on the Google Cloud Platform team at Google, focusing on serverless products like Google Cloud Functions, App Engine, Firebase, machine learning APIs, and more. He's currently an aspiring Node.js developer. Prior to Google, Bret worked as a software engineer in the cloud industry at Rackspace. Before that, he led engineering teams at e-commerce and non-profits and tried his hand at creating two startups. He's often on the running trail, volleyball court or kickball field.
Bret earned a bachelor’s degree in computer science from Texas A&M University.
Reach Bret on Twitter at @bretmcg
Spring Boot - Microservice Metrics MonitoringDonghuKIM2
마이크로서비스 아키텍쳐에서의 분산된 서비스간의 모니터링 방법을 소개합니다.
- Microservice Monitoring with Service Discovery (Eureka) Spring Boot Admin
- Microservice Monitoring with Service Discovery (Consul), Prometheus, Grafana
This talk will focus on a brief overview of Kubernetes, with a brief demo, and then more of an in-depth focus on issues we've faced moving PHP projects into Docker and Kubernetes like signal propagation, init systems, and logging.
Talk from Cape Town PHP meetup on Feb. 7, 2016:
https://www.meetup.com/Cape-Town-PHP-Group/events/237226310/
Code: https://github.com/zoidbergwill/kubernetes-php-examples
Slides as markdown: http://www.zoidbergwill.com/presentations/2017/kubernetes-php/index.md
✭✭ NOTE: a revised version of this lab is available at https://www.slideshare.net/williamyeh/rd-kubernetes-gdg-cloud-kh-201908-version ✭✭
90-Minute Workshop held at Taiwan Cloud Edge Summit 2019 (台灣雲端大會).
* 課程簡介
Kubernetes 是目前雲端環境的顯學。可是,傳統的程式,並不是原封不動搬上去,就能夠自動享受 Kubernetes 所宣稱的種種好處。 新的環境,不僅需要新的 Ops 思維,也需要新的 Dev 思維。我們將以一個半小時的時間,從軟體研發者的角度,探討軟體的設計該做哪些最起碼的改變,從實作中體驗 Kubernetes 引進的新觀念及新效益。
* 課程目標
從實例中體驗,傳統 web 應用程式在搬上 Kubernetes 時,可能會經歷哪些架構面的調整,才能享受新架構的效益:
- 容器化
- 微服務
- 組態管理
- 多重環境管理:本機端與雲端(以 GKE 為例)
Monitoring Your AWS EKS Environment with DatadogDevOps.com
Join Datadog for a webinar on monitoring Kubernetes with a focus on Amazon EKS. You'll learn how to get the most out of Datadog's intuitive platform and EKS's unique capabilities, including:
How to monitor metrics, logs and traces from your EKS environment
How to test the usability of your environment with features such as adaptive Browser Tests and globally available Real User Monitoring
How to find and fix user-facing issues with synthetic monitoring features like adaptive Browser Tests and globally available Real User Monitoring
n this presentation you will learn why enterprises are so excited about OpenShift, the Container Platform by Red Hat. This platform leverages open source technologies like Docker and Kubernetes, to deliver a platform ready for agile application development, while providing ops the stability they need for production deployments. In this presentation we will cover how OpenShift meets these challenges, and give you some insight in how OpenShift is working.
Behind the Code 'September 2022 // by ExnessMaxim Gaponov
Here you can find slides from the Behind The Code information security meet-up hosted by Exness on September 30 2022.
Next events are to come, stay tuned!
Idea to Production - with Gitlab and KubernetesSimon Dittlmann
Setting up a continuous delivery pipeline form scratch with gitlab.com and Kubernetes (Google Container Service GKE) on Google Cloud Platform.
The entire source code is available at https://github.com/Pindar/gcloud-k8s-express-app
Blog post https://www.itnotes.de/gitlab/kubernetes/k8s/gke/gcloud/2017/03/05/idea-to-production-with-gitlab-and-kubernetes/
This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
Bring-your-ML-Project-into-Production-v2.pdfLiang Yan
Machine Learning (ML) is quite popular today in the academic/research world. However, it is quite difficult to put into a product, especially a product with a huge customer base. This session will give Kubeflow, the open source ML toolkit on top of Kubernetes, a deep look from the MLOps perspective. Furthermore, we will have a brief look at Distributed MLSys and how Kubeflow copes with scalability. Last, a demo of the Kubeflow stack setup and ML project pipeline deployment will be demonstrated in the cloud.
Kubernetes fingerprinting with Prometheus.pdfKawimbaLofgrens
How Attackers Use Exposed
Prometheus Server to Exploit
Kubernetes Clusters.
The first step in any pentesting, ethical hacking or cybercriminal groups, is to
gather as much information as you can about the target you want to breach.
Why? Simple, to know what technique to use or the appropriate tools to achieve
intrusion and evasion of defense systems.
Information on versions inside the cluster can map to CVE and vulnerabilities that
can be exploited.
Information on applications, tools and architectures can be used for competitors.
Prometheus in the wild
Title
Prometheus collects and stores its metrics as time series data, i.e. metrics information is
stored with the timestamp at which it was recorded, alongside optional key-value pairs
called labels.
Prometheus allows (and recommends) using basic authentication, but not enabled by
default: https://prometheus.io/docs/operating/security/
Exposing open Prometheus endpoints to the Internet is a bad idea... and as every bad
idea, it's highly adopted:
What will we us to fingerprint Kubernetes?
Title
Two of the most widely used exporters offer most of the
information that we need:
Node ExporterKube State Metrics
●
●●
●
●
●
●
●
Physical infrastructure
Network interfaces
Host OS & kernel
Kubernetes components
Hostnames and network topology
Logical hierarchy
Secrets location
Applications (and versions) deployed
Fingerprinting Physical Infrastructure
Title
Node Exporter:
node_dmi_info
bios_vendor:
● SeaBIOS
● Amazon EC2
bios_version:
● seabios-1.9.1-qemu-project.org
● 8f19b21
● 1.0
bios_release:
● 1.0
bios_date:
● 10/16/2017
● 04/01/2014
chassis_asset_tag:
● Amazon EC2
chassis_vendor:
● Amazon EC2
● Alibaba Cloud
system_vendor:
● Tencent Cloud
● Amazon EC2
● Alibaba Cloud
product_name:
● m5.xlarge
● Alibaba Cloud ECS
product_version:
● pc-i440fx-2.1
board_vendor:
● Amazon EC2
board_asset_tag:
● i-00280f617XXXXX
board_vendor:
● Smdbmds
● Amazon EC2
Fingerprinting network interfaces
Title
Node Exporter:
node_network_info{device=~'eth.+'}
{
address="06:d5:XX:XX:XX:XX",
broadcast="ff:ff:ff:ff:ff:ff",
device="eth0",
instance="172.31.XX.XX:9100",
instance_az="us-west-2a",
instance_id="i-XXXXX",
instance_name="XXX-XXX",
instance_type="c5.xlarge",
instance_vpc="vpc-XXXXXXX",
job="ec2_instances",
operstate="up"
}
Fingerprinting network topology
Title
KSM:
kube_node_info
kube_service_info * on (service) group_left group by
(service,type)(kube_service_spec_type{type="LoadBalancer"})
kube_ingress_info
Node hostname
Services in the cluster (specially load-balancers)
● namespace
● cluster IP
● node
● (application behind the service can be guessed
by name of service/namespace)
Ingresses in the cluster
Jenkins2 - Coding Continuous Delivery PipelinesBrent Laster
Introduction to Jenkins 2 for creating pipelines - presented by Brent Laster, author of Jenkins 2, Up and Running, at Open Source 101 in Raleigh, February 2018
(From 2018) Kubernetes and Istio provide a great foundation for orchestrating, monitoring, and scaling your apps. They're open source and work great in your data center or in any major cloud. Meanwhile, the serverless development model has empowered devs to build software faster than ever by eliminating concerns like scaling, networking, load balancing, OS patching, etc.
Come learn how you can combine the power of Kubernetes with the ease of use of serverless to create new, powerful and flexible development experiences.
See me give this talk in 2018 at https://www.youtube.com/watch?v=bYxOx9tcYDE&ab_channel=Devoxx
----
About Bret McGowen
Bret is a Developer Advocate for Serverless on the Google Cloud Platform team at Google, focusing on serverless products like Google Cloud Functions, App Engine, Firebase, machine learning APIs, and more. He's currently an aspiring Node.js developer. Prior to Google, Bret worked as a software engineer in the cloud industry at Rackspace. Before that, he led engineering teams at e-commerce and non-profits and tried his hand at creating two startups. He's often on the running trail, volleyball court or kickball field.
Bret earned a bachelor’s degree in computer science from Texas A&M University.
Reach Bret on Twitter at @bretmcg
Spring Boot - Microservice Metrics MonitoringDonghuKIM2
마이크로서비스 아키텍쳐에서의 분산된 서비스간의 모니터링 방법을 소개합니다.
- Microservice Monitoring with Service Discovery (Eureka) Spring Boot Admin
- Microservice Monitoring with Service Discovery (Consul), Prometheus, Grafana
This talk will focus on a brief overview of Kubernetes, with a brief demo, and then more of an in-depth focus on issues we've faced moving PHP projects into Docker and Kubernetes like signal propagation, init systems, and logging.
Talk from Cape Town PHP meetup on Feb. 7, 2016:
https://www.meetup.com/Cape-Town-PHP-Group/events/237226310/
Code: https://github.com/zoidbergwill/kubernetes-php-examples
Slides as markdown: http://www.zoidbergwill.com/presentations/2017/kubernetes-php/index.md
✭✭ NOTE: a revised version of this lab is available at https://www.slideshare.net/williamyeh/rd-kubernetes-gdg-cloud-kh-201908-version ✭✭
90-Minute Workshop held at Taiwan Cloud Edge Summit 2019 (台灣雲端大會).
* 課程簡介
Kubernetes 是目前雲端環境的顯學。可是,傳統的程式,並不是原封不動搬上去,就能夠自動享受 Kubernetes 所宣稱的種種好處。 新的環境,不僅需要新的 Ops 思維,也需要新的 Dev 思維。我們將以一個半小時的時間,從軟體研發者的角度,探討軟體的設計該做哪些最起碼的改變,從實作中體驗 Kubernetes 引進的新觀念及新效益。
* 課程目標
從實例中體驗,傳統 web 應用程式在搬上 Kubernetes 時,可能會經歷哪些架構面的調整,才能享受新架構的效益:
- 容器化
- 微服務
- 組態管理
- 多重環境管理:本機端與雲端(以 GKE 為例)
Similar to Kubernetes monitoring introduction (20)
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
6. 2019/3/28 Kubernetes Monitoring Introduction
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Monitoring
Problem Detection
ダッシュボード、アラート
Problem Resolution
根本原因の特定、トラブルシュート
Continuous Improvement
キャパシティ、コスト最適化
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7. 2019/3/28 Kubernetes Monitoring Introduction
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Observability
A measure of how well internal states of a system can be
inferred from knowledge of its external outputs
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