This document discusses the top 5 considerations for operating a Kubernetes environment at scale. It begins with introductions from Marko Bocevski of Keitaro and Patrick Lin of SignalFx. The agenda then covers challenges in cloud-native environments, Keitaro's experience managing Kubernetes at scale, and a demonstration of SignalFx's Kubernetes monitoring capabilities. Key benefits of SignalFx for Keitaro are discussed, along with next steps around integrating SignalFx and improving alerting. The presentation concludes with a Q&A.
Journey Through Four Stages of Kubernetes Deployment MaturityAltoros
In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:
Where to start, how to advance, and how to reach the level of maximum automation.
How to orchestrate CI/CD processes along with routing and business continuity.
When the automation level is sufficient.
GitOps principles and their benefits.
What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc
Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open source community. During this online meetup we discussed the growing use of Kubernetes for data science and machine learning workloads. We examined how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We demoed a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform
Advanced dev ops governance with terraformJames Counts
DevOps project sprawl is real! Large organizations with many teams need to support a variety of configurations from infrastructure governance to domain-specific app deployments, all while enforcing good security practices like least privilege for each team. Maintaining these controls by hand leads to complexity, stagnation, and insecure shortcuts. In this session, you'll learn how Terraform can automate this configuration--using Terraform--and make doing the right thing easy!
Journey Through Four Stages of Kubernetes Deployment MaturityAltoros
In this webinar we will discuss a crawl, walk, run approach to continuous delivery (CD) for applications, point by point:
Where to start, how to advance, and how to reach the level of maximum automation.
How to orchestrate CI/CD processes along with routing and business continuity.
When the automation level is sufficient.
GitOps principles and their benefits.
What tools should be used to automate CI, CD, GitOps, Container Registry, Secrets management, etc
Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open source community. During this online meetup we discussed the growing use of Kubernetes for data science and machine learning workloads. We examined how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We demoed a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform
Advanced dev ops governance with terraformJames Counts
DevOps project sprawl is real! Large organizations with many teams need to support a variety of configurations from infrastructure governance to domain-specific app deployments, all while enforcing good security practices like least privilege for each team. Maintaining these controls by hand leads to complexity, stagnation, and insecure shortcuts. In this session, you'll learn how Terraform can automate this configuration--using Terraform--and make doing the right thing easy!
Keeping your Kubernetes Cluster SecureGene Gotimer
From NOVA Cloud and Software Engineering Group meetup, Feb. 17, 2021 https://youtu.be/a5uPm1mPLKQ.
Hardening a Kubernetes cluster happens at different levels. We have to examine the nodes where Kubernetes is running. We want to secure the Kubernetes objects and workloads and review the files we used to create them. And we need to look for vulnerabilities in the containers we are using. Gene will show you some open-source tools that can find issues and vulnerabilities at each layer. All of them can be used in a pipeline to build your Kubernetes cluster safely and keep it secure.
Gene Gotimer is the meetup organizer and a DevSecOps Senior Engineer at Steampunk, focusing on agile processes, secure development practices, and automation. Gene feels strongly that repeatability, quality, and security are all strongly intertwined; each depends on the other two, making agile and DevSecOps that much more crucial to software development.
From a skunk-works project to running the entire enterprise
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into an existing enterprise infrastructure.
In this meetup, Chris, CTO at Tigera, and Oleg, CTO at Kublr, discussed the evolution of your Kubernetes cluster - from a skunk-works project to running the entire enterprise.
Join us on Wednesday, January 9 as Mesosphere will demo how to install and run Kubernetes in under 10 minutes on DC/OS. We will walk you step-by-step through installing and running Kubernetes on Mesosphere DC/OS 1.10, discuss the benefits of container orchestrators, and answer frequently asked questions. Topics include:
Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
How to run multiple Kubernetes clusters (of different versions) alongside each other
How to run both stateless and stateful workloads on the same infrastructure
Live Q&A
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...GetInData
Did you like it? Check out our E-book: Apache NiFi - A Complete Guide
https://ebook.getindata.com/apache-nifi-complete-guide
Apache NiFi is one of the most popular services for running ETL pipelines otherwise it’s not the youngest technology. During the talk, there are described all details about migrating pipelines from the old Hadoop platform to the Kubernetes, managing everything as the code, monitoring all corner cases of NiFi and making it a robust solution that is user-friendly even for non-programmers.
Author: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
GitOps & the deployment branching models
DevOps D-day Marseille 2021:
GitOps is starting to be a well-known approach to delivering your software, but it does not provide a framework for representing different target environments or a solution for propagating changes from stage to stage. So what are the solutions to describe the Dev, QA or Production environment and especially how to propagate changes from one environment to another in an efficient, automated and secure way in a GitOps framework?
A Microservices approach with Cassandra and Quarkus | DevNation Tech TalkRed Hat Developers
We will dissect the world famous todo app that provides a REST API (which is the foundation of microservices) with data backed by Apache Cassandra. We will leverage the TODO MVC and the TODO backend projects with the back end that we will build with Quarkus and Cassandra. Attendees will get an overview of Cassandra, including the driver for Quarkus. Through live coding (that attendees can try out later) in a cloud-based environment, primarily in Quarkus and Cassandra, attendees will understand how to implement and connect the APIs to the backend and leverage the generic client(s)provided. After attending this session attendees will walk away with a good understanding of implementing microservices using Cassandra and Quarkus. They will also get a working knowledge of how Astra (Cassandra as a service) can be leveraged in other solutions.
Exposing and Controlling Kafka Event Streaming with Kong Konnect Enterprise |...HostedbyConfluent
Event streaming allows companies to build more scalable and loosely coupled real-time applications supporting massive concurrency demands and simplifying the construction of services.
At the same time, API management provides capabilities to securely control the upstream services consumption, including the event processing infrastructure.
This session shows how Kong Konnect Enterprise can complement Kafka Event Streaming, exposing it to new and external consumers while applying specific and critical policies to control its consumption, including API key, OAuth/OIDC and others for authentication, rate limiting, caching, log processing, etc.
OPENING KEYNOTE:
The Cloud Native Computing Foundation (CNCF) is an open source software foundation dedicated to making cloud native computing universal and sustainable. With over 300 members including the world’s largest public cloud and enterprise software companies, Alexis Richardson, CEO of Weaveworks and chair of the CNCF Technical Oversight Committee will walk you through some success stories, and why cloud native is the way forward. You’ll learn why Kubernetes and other CNCF projects have some of the fastest adoption rates in the history of open source, and how this is only the beginning.
Alexis will then show how you can increase speed and reliability in your development workflows even further by using the GitOps model, which has been developed at Weaveworks. You’ll learn about the core concepts of GitOps, including customer success stories, and how you can benefit from using this model.
Jacob Bogie, Advisory Platform Architect explains how Pivotal's PKS abstracts the complexity of tackling Data Gravity, Kubernetes, and how it relates to the presentations of our partners Yugabyte, Portworx, SnappyData, Crunchy Data, and Confluent.
https://youtu.be/4jAf6cbxsgo
As operators, it’s our job to monitor infrastructure, systems and applications and only wake up humans for tasks machines can’t fix on their own. Automated remediation pairs monitoring and runbook automation, giving you a monitoring system that can trigger operational actions with runbook automation to shorten incident response times and avoid alert fatigue.
Rundeck Director of Product Management Forrest Evans and Sensu Developer Advocate Todd Campbell discuss the key role automated remediation plays in the monitoring journey, with live demos of both the Rundeck and Sensu integrations. You’ll learn all about monitoring as code workflows with the Sensu Observability Pipeline and how to deliver runbook automation with Rundeck — and see how the two together can help you achieve automated remediation.
The Road Most Traveled: A Kafka Story | Heikki Nousiainen, AivenHostedbyConfluent
When moving to a cloud native architecture Moogsoft knew they needed more scale than Rabbit could provide. Moogsoft moved into Kafka which is known for quick writing and driving heavy event driven workloads on top of niceties such as replayability. Choosing the tool was easy, finding a vendor that ticked all their boxes was not. They needed to ensure scalability, upgradability, builds via existing IAC pipelines, and observability via existing tools. When Moogsoft found Aiven, they were impressed with their offering and ability to scale on demand. During this presentation we will explore how Moogsoft used Aiven for Kafka to manage and scale their data in the cloud.
Top 5 Considerations for Operating a Kubernetes Environment at Scale DevOps.com
Organizations are leveraging new cloud technologies and building innovation-centric delivery models to enable the speed required by today’s new digital initiatives and customer demands. While many are embracing leading edge technologies, few are ready to successfully manage the complexities and fundamentally different operational challenges in this new digital era.
Join Keitaro and SignalFx for a deep dive on operating Kubernetes at scale. Hear about Keitaro’s experience in leveraging Kubernetes to increase scalabilities and accelerate deployment cycles and gaining comprehensive visibility in these environments with SignalFx.
Top 5 Considerations for Operating a Kubernetes Environment at ScaleDeborah Schalm
Organizations are leveraging new cloud technologies and building innovation-centric delivery models to enable the speed required by today’s new digital initiatives and customer demands. While many are embracing leading edge technologies, few are ready to successfully manage the complexities and fundamentally different operational challenges in this new digital era.
Join Keitaro and SignalFx for a deep dive on operating Kubernetes at scale. Hear about Keitaro’s experience in leveraging Kubernetes to increase scalabilities and accelerate deployment cycles and gaining comprehensive visibility in these environments with SignalFx.
Keeping your Kubernetes Cluster SecureGene Gotimer
From NOVA Cloud and Software Engineering Group meetup, Feb. 17, 2021 https://youtu.be/a5uPm1mPLKQ.
Hardening a Kubernetes cluster happens at different levels. We have to examine the nodes where Kubernetes is running. We want to secure the Kubernetes objects and workloads and review the files we used to create them. And we need to look for vulnerabilities in the containers we are using. Gene will show you some open-source tools that can find issues and vulnerabilities at each layer. All of them can be used in a pipeline to build your Kubernetes cluster safely and keep it secure.
Gene Gotimer is the meetup organizer and a DevSecOps Senior Engineer at Steampunk, focusing on agile processes, secure development practices, and automation. Gene feels strongly that repeatability, quality, and security are all strongly intertwined; each depends on the other two, making agile and DevSecOps that much more crucial to software development.
From a skunk-works project to running the entire enterprise
While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into an existing enterprise infrastructure.
In this meetup, Chris, CTO at Tigera, and Oleg, CTO at Kublr, discussed the evolution of your Kubernetes cluster - from a skunk-works project to running the entire enterprise.
Join us on Wednesday, January 9 as Mesosphere will demo how to install and run Kubernetes in under 10 minutes on DC/OS. We will walk you step-by-step through installing and running Kubernetes on Mesosphere DC/OS 1.10, discuss the benefits of container orchestrators, and answer frequently asked questions. Topics include:
Live demo showing how to deploy and manage 100% pure Kubernetes distribution on DC/OS
How to run multiple Kubernetes clusters (of different versions) alongside each other
How to run both stateless and stateful workloads on the same infrastructure
Live Q&A
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...GetInData
Did you like it? Check out our E-book: Apache NiFi - A Complete Guide
https://ebook.getindata.com/apache-nifi-complete-guide
Apache NiFi is one of the most popular services for running ETL pipelines otherwise it’s not the youngest technology. During the talk, there are described all details about migrating pipelines from the old Hadoop platform to the Kubernetes, managing everything as the code, monitoring all corner cases of NiFi and making it a robust solution that is user-friendly even for non-programmers.
Author: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
GitOps & the deployment branching models
DevOps D-day Marseille 2021:
GitOps is starting to be a well-known approach to delivering your software, but it does not provide a framework for representing different target environments or a solution for propagating changes from stage to stage. So what are the solutions to describe the Dev, QA or Production environment and especially how to propagate changes from one environment to another in an efficient, automated and secure way in a GitOps framework?
A Microservices approach with Cassandra and Quarkus | DevNation Tech TalkRed Hat Developers
We will dissect the world famous todo app that provides a REST API (which is the foundation of microservices) with data backed by Apache Cassandra. We will leverage the TODO MVC and the TODO backend projects with the back end that we will build with Quarkus and Cassandra. Attendees will get an overview of Cassandra, including the driver for Quarkus. Through live coding (that attendees can try out later) in a cloud-based environment, primarily in Quarkus and Cassandra, attendees will understand how to implement and connect the APIs to the backend and leverage the generic client(s)provided. After attending this session attendees will walk away with a good understanding of implementing microservices using Cassandra and Quarkus. They will also get a working knowledge of how Astra (Cassandra as a service) can be leveraged in other solutions.
Exposing and Controlling Kafka Event Streaming with Kong Konnect Enterprise |...HostedbyConfluent
Event streaming allows companies to build more scalable and loosely coupled real-time applications supporting massive concurrency demands and simplifying the construction of services.
At the same time, API management provides capabilities to securely control the upstream services consumption, including the event processing infrastructure.
This session shows how Kong Konnect Enterprise can complement Kafka Event Streaming, exposing it to new and external consumers while applying specific and critical policies to control its consumption, including API key, OAuth/OIDC and others for authentication, rate limiting, caching, log processing, etc.
OPENING KEYNOTE:
The Cloud Native Computing Foundation (CNCF) is an open source software foundation dedicated to making cloud native computing universal and sustainable. With over 300 members including the world’s largest public cloud and enterprise software companies, Alexis Richardson, CEO of Weaveworks and chair of the CNCF Technical Oversight Committee will walk you through some success stories, and why cloud native is the way forward. You’ll learn why Kubernetes and other CNCF projects have some of the fastest adoption rates in the history of open source, and how this is only the beginning.
Alexis will then show how you can increase speed and reliability in your development workflows even further by using the GitOps model, which has been developed at Weaveworks. You’ll learn about the core concepts of GitOps, including customer success stories, and how you can benefit from using this model.
Jacob Bogie, Advisory Platform Architect explains how Pivotal's PKS abstracts the complexity of tackling Data Gravity, Kubernetes, and how it relates to the presentations of our partners Yugabyte, Portworx, SnappyData, Crunchy Data, and Confluent.
https://youtu.be/4jAf6cbxsgo
As operators, it’s our job to monitor infrastructure, systems and applications and only wake up humans for tasks machines can’t fix on their own. Automated remediation pairs monitoring and runbook automation, giving you a monitoring system that can trigger operational actions with runbook automation to shorten incident response times and avoid alert fatigue.
Rundeck Director of Product Management Forrest Evans and Sensu Developer Advocate Todd Campbell discuss the key role automated remediation plays in the monitoring journey, with live demos of both the Rundeck and Sensu integrations. You’ll learn all about monitoring as code workflows with the Sensu Observability Pipeline and how to deliver runbook automation with Rundeck — and see how the two together can help you achieve automated remediation.
The Road Most Traveled: A Kafka Story | Heikki Nousiainen, AivenHostedbyConfluent
When moving to a cloud native architecture Moogsoft knew they needed more scale than Rabbit could provide. Moogsoft moved into Kafka which is known for quick writing and driving heavy event driven workloads on top of niceties such as replayability. Choosing the tool was easy, finding a vendor that ticked all their boxes was not. They needed to ensure scalability, upgradability, builds via existing IAC pipelines, and observability via existing tools. When Moogsoft found Aiven, they were impressed with their offering and ability to scale on demand. During this presentation we will explore how Moogsoft used Aiven for Kafka to manage and scale their data in the cloud.
Top 5 Considerations for Operating a Kubernetes Environment at Scale DevOps.com
Organizations are leveraging new cloud technologies and building innovation-centric delivery models to enable the speed required by today’s new digital initiatives and customer demands. While many are embracing leading edge technologies, few are ready to successfully manage the complexities and fundamentally different operational challenges in this new digital era.
Join Keitaro and SignalFx for a deep dive on operating Kubernetes at scale. Hear about Keitaro’s experience in leveraging Kubernetes to increase scalabilities and accelerate deployment cycles and gaining comprehensive visibility in these environments with SignalFx.
Top 5 Considerations for Operating a Kubernetes Environment at ScaleDeborah Schalm
Organizations are leveraging new cloud technologies and building innovation-centric delivery models to enable the speed required by today’s new digital initiatives and customer demands. While many are embracing leading edge technologies, few are ready to successfully manage the complexities and fundamentally different operational challenges in this new digital era.
Join Keitaro and SignalFx for a deep dive on operating Kubernetes at scale. Hear about Keitaro’s experience in leveraging Kubernetes to increase scalabilities and accelerate deployment cycles and gaining comprehensive visibility in these environments with SignalFx.
Cloud native technologies, like containers and Kubernetes, enable enterprise agility at scale and without compromises. Learn how enterprises can warp speed their DevOps initiatives by embracing cloud native technologies, measuring DevOps success, and utilizing modern enterprise Kubernetes platforms like Nirmata!
In order to effectively manage multiple AKS, EKS, or GKE clusters in the public cloud and multiple users or teams who need cluster access, you need a solid multi-tenant cluster management strategy in place.
To help you get started on the right track, this cheatsheet was created to drive multi-tenancy success. In it, you’ll learn how to deliver governance and standardization across your AKS, EKS, or GKE clusters.
Your Journey to Cloud-Native Begins with DevOps, Microservices, and ContainersAtlassian
Everyone is excited about cloud-native applications. And for good reason! They're scalable, resilient, portable across cloud environments, and make it easier to incorporate customer feedback quickly. But there's a catch: cloud-native applications fundamentally change the way you provision, deploy, and manage your infrastructure.
That's where DevOps, microservices, and containers come in. This session will show you how to combine them to create a highly-automated continuous delivery platform. By streamlining the process to resemble factory assembly lines, you can adapt quickly to market changes and keep your customers happy – without burning your team out.
Risc and velostrata 2 28 2018 lessons_in_cloud_migrationRISC Networks
Learn how to accelerate and
de-risk your cloud migration project
Despite the surge in enterprises migrating applications to the public cloud, more than half of all projects are delayed or over budget and an even greater number are more difficult than expected.1
Cloud Migrations don’t begin when you start moving applications into the cloud. They begin with your application landscape discovery and assessment. The second phase comprises the actual migration where applications are moved to the public cloud. Working with purpose-built enterprise-grade cloud migration platforms, especially those that partner to integrate both phases greatly simplifies and accelerates projects.
RISC Networks and Velostrata have teamed up to deliver this webinar where we’ll share real-world examples, tips, and tricks on crafting a seamless cloud migration from start to completion.
Production-Ready Kubernetes: It's Not About TechnologyAntoine Craske
Adopting cloud-native technologies can seem like a technological challenge, but it's far from being the only theme.
The organization, culture and people aspects is the main challenge to overcome resistance to change, drive value creation and accelerate the transformation.
This talk shares our journey in adopting a Cloud-native application stack with a Kubernetes PaaS, focusing on the transformation journey.
This presentation talks about - What is DevOps? Why it's required for the Information Technology industry? And, more importantly, what are the DevOps trend in 2019 and later.
How kubernetes can help you quickly and automatically test and deploy new services
While Kubernetes is primarily associated with managing cloud-native applications and microservices, it can also play a role in IoT deployments. Here are a few reasons why Kubernetes is relevant in the context of IoT:
1 Scalability: IoT systems often involve a large number of devices generating massive amounts of data. Kubernetes provides automatic scaling capabilities, allowing IoT applications to scale horizontally by adding or removing instances based on demand. This helps manage the increasing workload efficiently.
2 Resilience and High Availability: IoT applications require high availability to ensure uninterrupted operations. Kubernetes offers features like load balancing, fault tolerance, and self-healing capabilities. It can automatically restart failed containers or replace them with healthy instances, ensuring that IoT services remain available and resilient.
3 Resource Optimization: IoT deployments typically involve a mix of hardware devices with varying capabilities. Kubernetes can optimize resource utilization by efficiently distributing workloads across devices. It allows you to define resource constraints and priorities, ensuring that devices with higher capabilities handle more demanding tasks.
4 Service Discovery and Load Balancing: In an IoT ecosystem, devices and services need to discover and communicate with each other. Kubernetes provides built-in service discovery mechanisms, such as DNS-based service discovery and load balancing, allowing devices to locate and interact with services dynamically.
5 Security and Updates: Security is a crucial aspect of IoT systems, and Kubernetes helps in managing security at scale. It provides features like role-based access control (RBAC), network policies, and secret management to enforce security measures across IoT deployments. Additionally, Kubernetes facilitates rolling updates, allowing for seamless updates and patches without downtime.
6 Flexibility and Portability: Kubernetes abstracts the underlying infrastructure, enabling IoT applications to be deployed consistently across different environments, whether it’s on-premises, in the cloud, or at the edge. This flexibility allows organizations to migrate or distribute their IoT workloads as needed, making it easier to adopt hybrid or multi-cloud strategies
Visualpath provides top-quality Docker and Kubernetes Online Training Worldwide led by real-time instructor. We offer daily recordings and presentations for reference. Enroll for a Free Demo. Call +91-9989971070.
Visit Blog: https://dockerandkubernetesonlinetraining.blogspot.com/
WhatsApp: https://www.whatsapp.com/catalog/919989971070/
Visit: https://www.visualpath.in/DevOps-docker-kubernetes-training.html
Rob Davies presentation during Red Hat's "Microservices Journey with Apache Camel" that took place in Atlanta on 10/04/16 and in Minneapolis on 10/06/16.
Modern big data and machine learning in the era of cloud, docker and kubernetesSlim Baltagi
There is a major shift in web and mobile application architecture from the ‘old-school’ one to a modern ‘micro-services’ architecture based on containers. Kubernetes has been quite successful in managing those containers and running them in distributed computing environments.
Now enabling Big Data and Machine Learning on Kubernetes will allow IT organizations to standardize on the same Kubernetes infrastructure. This will propel adoption and reduce costs.
Kubeflow is an open source framework dedicated to making it easy to use the machine learning tool of your choice and deploy your ML applications at scale on Kubernetes. Kubeflow is becoming an industry standard as well!
Both Kubernetes and Kubeflow will enable IT organizations to focus more effort on applications rather than infrastructure.
How Cloud-Ready Alerting Is Optimal For Today's EnvironmentsSignalFx
Aaron Pacheco, Product Manager for Platform Services at Acquia, and Patrick Lin, VP Product & Partnerships at SignalFx, deep dive on alerting best practices in cloud-based environments. For many enterprises, determining the best alert conditions for scale-out, elastic architectures is a complex, time-consuming process and often results in alert noise. Learn how to create, deploy and tune alerts to set your team up for success and hear how Acquia improved its monitoring insights with SignalFx.
Kubernetes and Nested Containers: Enhanced 3 Ps (Performance, Price and Provi...Jelastic Multi-Cloud PaaS
Kubernetes enables possibilities to develop cloud native microservices or decompose traditional applications making them more technologically advanced with the help of containers. Currently, most of the Kubernetes solutions are offered on top of VMs and there is a room for further improvements. Implementing nested architecture of application containers running inside system containers opens additional flexibility of resource allocation and management, accelerates provisioning of the clusters and pods, as well as cuts the overall costs. Or in other words it enhances 3 Ps - Provisioning, Performance and Price. During this session Ruslan Synytsky (CEO and co-founder of Jelastic PaaS) reviews the possibilities of running a Kubernetes cluster inside nested containers, what configurations should be taken into account, and how to overcome the barriers on the way to more efficient Kubernetes hosting.
Video presentation: https://youtu.be/VzkXuMx7jLE
Learn more at https://jelastic.com/kubernetes-hosting/
Similar to Top Considerations For Operating a Kubernetes Environment at Scale (20)
Operationalizing Docker at Scale: Lessons from Running Microservices in Produ...SignalFx
Zenefits principal engineer Venkat Thiruvengadam and SignalFx engineer Maxime Petazzoni discuss operationalizing Docker at scale. Learn about the transition to a well-conceived microservices approach, the tools chosen to support these services, and the lessons learned from monitoring containers in production in a high-performance environment.
SignalFx Elasticsearch Metrics Monitoring and AlertingSignalFx
From our Feb 25, 2016 webcast on operating Elasticsearch at scale, the metrics to monitor, and how to create low-noise meaningful alerts on Elasticsearch performance.
SignalFx engineer Rajiv Kurian's presentation on why we wrote our own Kafka consumer, the performance goals, and the performance gains achieved.
Download the slides to see animations showing hardware details. These slides were converged from Keynote to Powerpoint, so there may be some oddness with slide transitions!
Making Cassandra Perform as a Time Series Database - Cassandra Summit 15SignalFx
SignalFx engineer Paul Ingram presented these slides at Cassandra Summit 2015.
SignalFx ingests, processes runs analytics against, (and ultimately stores) massive numbers of time series streaming in parallel into our service which provides an analytics-based monitoring platform for modern applications.
We've chose to build our time series database (TSDB) on Cassandra for it's read and write performance at high load. This presentation will go over our evolution of optimizations to squeeze the most performance out of the TSDB to date and some steps we'll be taking in the future.
Read more: http://blog.signalfx.com/making-cassandra-perform-as-a-tsdb
Go debugging and troubleshooting tips - from real life lessons at SignalFxSignalFx
Exploring tips and advice on writing production Go systems that are easy to debug and troubleshoot. Jack Lindamood from SignalFx presents patterns that facilitate this process.
Jack addresses tools built into Go you can take advantage of, build process techniques they've learned over time, and open source tools and libraries you can use that help troubleshoot your production code when things go wrong.
Read more here: http://blog.signalfx.com/a-pattern-for-optimizing-go
Maxime Petazzoni, Software Engineer at SignalFx, presents how we use Docker and how we monitor containers in production.
SignalFx has been using using Docker since November 2013. We have running Docker in prod ever since we’ve had a “prod” and back when Docker’s README said “DO NOT RUN IN PRODUCTION”.
AWS Loft Talk: Behind the Scenes with SignalFxSignalFx
Slides from SignalFx CTO Phillip Liu's presentation at the AWS Loft in SF after DockerCon: Behind the Scenes with SignalFx.
Phil discussed how SignalFx deploys, runs, and operates a completely Dockerized microservices architecture for a production SaaS application dealing with large volumes of high resolution customer data.
Scaling ingest pipelines with high performance computing principles - Rajiv K...SignalFx
By Rajiv Kurian, software engineer at SignalFx.
At SignalFx, we deal with high-volume high-resolution data from our users. This requires a high performance ingest pipeline. Over time we’ve found that we needed to adapt architectural principles from specialized fields such as HPC to get beyond performance plateaus encountered with more generic approaches. Some key examples include:
* Write very simple single threaded code, instead of complex algorithms
* Parallelize by running multiple copies of simple single threaded code, instead of using concurrent algorithms
* Separate the data plane from the control plane, instead of slowing data for control
* Write compact, array-based data structures with minimal indirection, instead of pointer-based data structures and uncontrolled allocation
Microservices and Devs in Charge: Why Monitoring is an Analytics ProblemSignalFx
Presented at GlueCon 2015.
This presentation discusses SignalFx CTO and co-founder Phillip Liu's experience operating infrastructure and apps at massive scale and what drove the realization that monitoring is fundamentally an analytics problem now. Following on the heels of Adrian Cockroft's keynote that morning, Monitoring Microservices and Containers, this presentation went over real world examples of how modern monitoring for microservices wroks.
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.
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
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Top Considerations For Operating a Kubernetes Environment at Scale
1. MM/DD/YY
PREPARED FOR:
PLACE LOGO HERE
TOP 5 CONSIDERATIONS FOR OPERATING A
KUBERNETES ENVIRONMENT AT SCALE
Marko Bocevski, Co-Founder & CTO at Keitaro
Patrick Lin, VP Products at SignalFx
@signalfx | www.signalfx.com
3. AGENDA
• Challenges in Today’s Cloud-Native Environments
• Keitaro’s Experience in Managing Kubernetes at Scale
• Deep Dive into SignalFx’s New Kubernetes Monitoring
• What’s Next for Keitaro
• Q&A
4. @signalfx | www.signalfx.com4
CLOUD ERA HAS DRIVEN A NEW
TECHNOLOGY PLATFORM
Software Delivered
“As A Service”
Microservices
of enterprises expect
to monitor
microservices by the
end of 2018
Containers
of new workloads in
containers by 2019
Function as
a Service
Event-driven, short-lived
architectures with no
runtime access
using Lambda functions
in production
of software will be
delivered with a
subscription model
by 2020
>80%
Gartner: Market Trends: Prepare
Now to Smooth the Inevitable
Transition to a Subscription-Based
Business Model
>76% 12.3%
Gartner: How Microservices Have a
Macroeffect on APM
Gartner 2017 Strategic Roadmap for
Compute Infrastructure
Requiring more operational
oversight from Development
and enabling more
frequent updates
Decentralized application
architectures, requiring
strong collaboration
across teams
50%
Elastic architectures
provisioned directly by
engineering teams
2017 Key Takeaways from The State of
Modern Apps Report
5. @signalfx | www.signalfx.com5
DEV
• Plan
• Create
• Verify
• Package
• Release
• Configure
• Monitor
• Support
OPS
OPSDEV
• Plan
• Create
• Verify
• Package
• Release
• Configure
• Monitor
• Support
Throw it over the fence
OLD
Monolith
NEW
Microservices
AND A FUNDAMENTAL ORGANIZATION SHIFT
You write it. You run it.
6. @signalfx | www.signalfx.com6
LEADING TO NEW OPERATING MODELS
DEV OPSOLD
10x Teams
Monolith
PLAN | CREATE | VERIFY
NEW
PACKAGE | RELEASE | CONFIGURE MONITOR | SUPPORT
Microservices
100x Releases 1000x Dependencies
100x Components
7. TREND SOLUTION CRITERIA TECH REQUIREMENTS
1. Scale-out open source platforms,
microservices architectures
Monitoring service-wide aggregate
metrics vs. host-specific metrics
Streaming aggregation of composite
metrics
2. Containers and functions /
serverless
Instant discovery with real-time
monitoring
Streaming high-resolution metrics
3. Developer choice, decentralized
operations (loss of centralized
control)
Shared context across distributed
teams and instant visibility into any
changes in environment
Centralized, self-service, real-time
operational intelligence solution
4. High-velocity release cycles
Predictive analytics and proactive
alerting to identify emerging trends
Real-time streaming analytics, alerts,
anomaly detection, outlier detection
5. Troubleshooting across
distributed teams
Advanced real-time correlation and
dimensional analysis
Interactive, high-cardinality queries
and alerts
CLOUD-NATIVE MONITORING REQUIREMENTS
8. AGENDA
• Challenges in Today’s Cloud-Native Environments
• Keitaro’s Experience in Managing Kubernetes at Scale
• Deep Dive into SignalFx’s New Kubernetes Monitoring
• What’s Next for Keitaro
• Q&A
9. OVERVIEW OF
• Founded in 2011, based in Sweden
• Provides Linux and open-source software
consultancy with a strong focus in bleeding
edge technologies and managed services
• Key focus on providing docker and
kubernetes based services
• Customers across telecom, financial services,
education, tech, media, and government
5
Locations
36
Employees
100+
Finished or Ongoing
Projects
18
KUBERNETES
deployments
10. TODAY’S BUSINESS OBJECTIVES
• Increasing customer expectations for always-on apps
• Reimaging a highly collaborative Dev and Ops organizations
• Leveraging cutting-edge technologies
• Modernizing application deployments and availability
11. CUSTOMER USE CASE
VIDERUMS MOVE TO KUBERNETES
Viderum (http://www.viderum.com) is a SaaS provider of open
data management platforms
1. Implemented a SaaS solution that can scale to support thousands of customers using “traditional”
software - CKAN (http://www.ckan.org)
2. Setup based on a custom deployment of kubernetes including deis/workflow, traefik, crunchy
postgres, Ceph, Minio etc.
3. Implemented scaling and application/service clustering by utilizing data from kubernetes and docker
metrics
4. Simplified workflow and encapsulated a lot of the cluster complexity to the developers.
5. Optimized resources and enabled delivery of more than 100 data portals per node
6. Zero downtime for deployment and easy rollback.
7. Enabled deployment of new portals within seconds
12. SCALING KUBERNETES
Scaling is pretty easy, fast and without downtime
1. Scaling pods when you need more resources for any service
a. In mere seconds
b. Autoscaling
2. Scaling nodes when you need to grow performance
of whole cluster.
a. Seamless horizontal scaling
b. Built-in advanced mechanisms for load distribution
13. TOP CONSIDERATIONS IN DEPLOYING KUBERNETES
Kubernetes is a complex framework and it is up to you to use
it cleverly
1. Calculate at start all resources needed (cpu, memory, storage).
2. Plan good distribution of services across cluster like databases, caching, workload and
similar.
3. Implement good monitoring and metrics tools.
4. Understand your cluster and utilize the vast amount of metrics flowing through it
5. Kubernetes provides basis but is not enough, combine it with other tools that will help in
your use-case.
14. TOP CONSIDERATIONS IN OPERATING KUBERNETES
1) Automatic provisioning/decommissioning based on demand
2) Shorter lifecycle of containers / advent of microservices
3) Easy of spinning up new containers
4) Automatic placement by orchestrator (running different types of services
and don’t know where they are)
5) Engaging broader organization (business owners also need visibility and
access to key metrics)
15. AGENDA
• Challenges in Today’s Cloud-Native Environments
• Keitaro’s Experience in Managing Kubernetes at Scale
• Deep Dive into SignalFx’s New Kubernetes Monitoring
• What’s Next for Keitaro
• Q&A
16. INTRODUCING KUBERNETES MONITORING
DYNAMIC DETECTORS
Deliver On-Time Alerts That
Adapt To Fast-Moving Data
SIGNALFX SMART AGENT
Eliminate the Need to Manually
Configure for Each New
Container, App, or Service
OUT-OF-THE-BOX VISUALIZATIONS
Immediately Visualize Your Data
and Explore ’Up and Down’ The
Stack
The most comprehensive, real-time view into health and performance for orchestrated container environments
18. SIGNALFX SMART AGENT
• Based on SignalFx collectd agent
• Enhanced with service discovery and
auto-configuration when working in
conjunction with Kubernetes
• Deploy with out-of-the-box rules, then
customize for your specific use case
Eliminate the Need to Manually Configure for Each New Container, App, or Service
19. OUT-OF-THE-BOX KUBERNETES VISUALIZATIONS
• Top-to-bottom view to correlate
issues from app down to
infrastructure
- Architecture view
- Pods and nodes dashboards
- Built-in container content
• Links to related Navigator views to
explore 'up and down' the stack
• Monitoring for etcd as well
Immediately Visualize Your Data and Explore ’Up and Down’ The Stack
20. DYNAMIC DETECTORS
• On-time alerting optimized for high-
churn environments to minimize
discovery delay
• Built-in alert conditions great for finding
patterns and trends across dynamic
environments
Deliver On-Time Alerts That Adapt To Fast-Moving Data
21. AGENDA
• Challenges in Today’s Cloud-Native Environments
• Keitaro’s Experience in Managing Kubernetes at Scale
• Deep Dive into SignalFx’s New Kubernetes Monitoring
• What’s Next for Keitaro
• Q&A
22. KEY BENEFITS WITH SIGNALFX (TO DATE)
• Highly configurable views and alerts across nodes, containers, services and
applications
• Lots of integrations out of the box especially Kubernetes integration
• Pagerduty and Slack integration works flawlessy
• Real-time metrics collection
• Easy to use dashboards to get quick insights into key metrics and KPIs
23. WHAT’S NEXT FOR KEITARO
• Explore integrating SignalFx into customer applications
• Implement Kubernetes scaling triggers based on data from SignalFx
• Set up data views for customers
• Fine tune alerting and detection specifically for highly-available services
24. AGENDA
• Challenges in Today’s Cloud-Native Environments
• Keitaro’s Experience in Managing Kubernetes at Scale
• Deep Dive into SignalFx’s New Kubernetes Monitoring
• What’s Next for Keitaro
• Q&A
25. GET STARTED TODAY
• Read more about Kubernetes Monitoring from SignalFx
- docs.signalfx.com/en/latest/integrations/kubernetes-quickstart.html
• Start a free trial with SignalFx
- info.signalfx.com/trial.html
27. MM/DD/YY
PREPARED FOR:
PLACE LOGO HERE
TOP 5 CONSIDERATIONS FOR OPERATING A
KUBERNETES ENVIRONMENT AT SCALE
Marko Bocevski, Co-Founder & CTO at Keitaro
Patrick Lin, VP Product & Partnerships at SignalFx
@signalfx | www.signalfx.com