Architectures and organizations are embracing Cloud Native architectures. Living in a Cloud First world, two key concepts are key pillars in the Cloud Native push. Idempotency and Ephemerality are not new concepts but woven together is ushering in the next generation of Cloud Native enterprise agility.
Will MacAskill, author of "Doing Good Better," has devoted his life to applying data and analytical rigor to answer the question, "how can we use our resources to help the world as much as possible?” In this session, allow Will to introduce the rapidly growing social movement of Effective Altruism and provide practical examples of how you can use data to help make the world a better place.
Scaling Agile Data Warehousing with the Scaled Agile Framework (SAFe)Context Matters
Em Campbell-Pretty gave a presentation on scaling agile practices to a large enterprise data warehousing program. The data warehouse contained over 80 TB of business data across 28 servers processing 400 million records daily. Campbell-Pretty described establishing agile teams, organizing them into a release train, and using SAFe principles and practices to coordinate their work. This resulted in delivery cycle times decreasing from 12 months to 3 months with weekly deployments, cost reductions of 70%, and improvements in quality, on-time delivery, and team satisfaction.
Victor Gamov from Confluent presented 'Streams must fFlow: Developing fault tolerant stream processing application with Kafka Streams and Kubernetes’ at Montreal's very first Cloud Native Day, which took place on June 11, 2019.
1) The document discusses calculating a Scrum Efficiency Index (SEI) to compare the productivity of different time periods with varying staffing levels.
2) The SEI is calculated by dividing a period's velocity (work completed) by the total productive hours for that period.
3) An example compares two periods - Period 1 had a velocity of 26 from 300 hours for a SEI of 0.09, while Period 2 had a velocity of 50 from 120 hours for a SEI of 0.42, showing a 78% improvement in efficiency.
This document discusses the similarities between developer experience (DX) and doughnuts. It introduces DX and compares its three pillars - usability, findability, and credibility - to qualities of doughnuts like ease of eating and location. The document suggests measuring DX in similar ways to user experience, like through user journey mapping and heat maps. It closes by considering optimal team sizes for DX support in terms of pizzas or doughnuts.
DevOps vs SRE - CI/CD Pipelines Bridging the GapRavi Lachhman
Two hot job titles that were not around or mainstream several years ago are DevOps and site reliability engineers. What can feel like DevOps engineers are a catch all around engineering efficiency, system administration, and release management tend to have oddly broad job descriptions. Site reliability engineers, on the other hand, have a more defined focus around resiliency but a broad scope in the organization with the teams they support. A conduit between the two teams is a Continous Delivery pipeline. In times of an incident, your SRE team might be redeploying the application as a remedy or day-to-day activity the DevOps team enables efficiency with a pipeline. Learn about different roles and responsibilities on each and how your CI/CD pipelines can be used in both in times of joy and incidents.
What Can We Learn about KBBQ and KubernetesRavi Lachhman
This is a sample presentation for {unscripted} conference to give the speakers as a sample talk. Though willing to give this talk for real. Korean BBQ and Kubernetes aka K8s.
Will MacAskill, author of "Doing Good Better," has devoted his life to applying data and analytical rigor to answer the question, "how can we use our resources to help the world as much as possible?” In this session, allow Will to introduce the rapidly growing social movement of Effective Altruism and provide practical examples of how you can use data to help make the world a better place.
Scaling Agile Data Warehousing with the Scaled Agile Framework (SAFe)Context Matters
Em Campbell-Pretty gave a presentation on scaling agile practices to a large enterprise data warehousing program. The data warehouse contained over 80 TB of business data across 28 servers processing 400 million records daily. Campbell-Pretty described establishing agile teams, organizing them into a release train, and using SAFe principles and practices to coordinate their work. This resulted in delivery cycle times decreasing from 12 months to 3 months with weekly deployments, cost reductions of 70%, and improvements in quality, on-time delivery, and team satisfaction.
Victor Gamov from Confluent presented 'Streams must fFlow: Developing fault tolerant stream processing application with Kafka Streams and Kubernetes’ at Montreal's very first Cloud Native Day, which took place on June 11, 2019.
1) The document discusses calculating a Scrum Efficiency Index (SEI) to compare the productivity of different time periods with varying staffing levels.
2) The SEI is calculated by dividing a period's velocity (work completed) by the total productive hours for that period.
3) An example compares two periods - Period 1 had a velocity of 26 from 300 hours for a SEI of 0.09, while Period 2 had a velocity of 50 from 120 hours for a SEI of 0.42, showing a 78% improvement in efficiency.
This document discusses the similarities between developer experience (DX) and doughnuts. It introduces DX and compares its three pillars - usability, findability, and credibility - to qualities of doughnuts like ease of eating and location. The document suggests measuring DX in similar ways to user experience, like through user journey mapping and heat maps. It closes by considering optimal team sizes for DX support in terms of pizzas or doughnuts.
DevOps vs SRE - CI/CD Pipelines Bridging the GapRavi Lachhman
Two hot job titles that were not around or mainstream several years ago are DevOps and site reliability engineers. What can feel like DevOps engineers are a catch all around engineering efficiency, system administration, and release management tend to have oddly broad job descriptions. Site reliability engineers, on the other hand, have a more defined focus around resiliency but a broad scope in the organization with the teams they support. A conduit between the two teams is a Continous Delivery pipeline. In times of an incident, your SRE team might be redeploying the application as a remedy or day-to-day activity the DevOps team enables efficiency with a pipeline. Learn about different roles and responsibilities on each and how your CI/CD pipelines can be used in both in times of joy and incidents.
What Can We Learn about KBBQ and KubernetesRavi Lachhman
This is a sample presentation for {unscripted} conference to give the speakers as a sample talk. Though willing to give this talk for real. Korean BBQ and Kubernetes aka K8s.
Machine Learning for Continuous DeliveryRavi Lachhman
Let our friends, the machines, help with building confidence in your Continuous Delivery pipeline. We can compare doughnuts to software to make this more delicious.
Doughnuts are made out of eggs, sugar, flour, a milk. An application to be useful requires compute, memory, storage, and networking. What does a delicious doughnut have to do with these pillars of infrastructure? We live in a world of finite resources. There are only so many doughnuts and so much infrastructure to run and power our applications. Resource Managers are crucial to make sure our applications have the firepower to run and be placed on the most efficient infrastructure. Let's look at varying requests for doughnuts and how popular resource manager algorithms work.
Kubernetes has celebrated it’s fourth birthday in 2018. This graduated pillar of the Cloud Native Computing Foundation is revolutionizing how workloads are ran. Container orchestrators have been rising in importance and popularity as workloads are being containerized. A recent shift of describing your applications to an orchestrator deployment descriptor to building applications with the orchestrator primitives. This shift is being lead by the orchestrator SDKs. Will be running quickly through the history of Kubernetes and diving into Operators and the Operators SDK.
Twelve Factor App vs Twelve Layer BurritoRavi Lachhman
The document compares the 12-layer burrito to the 12 Factor App methodology for building cloud-native applications. It outlines the key differences between the two, such as one being food and the other being software principles. It then proceeds to explain each of the 12 factors in the 12 Factor App methodology, such as having a codebase, managing dependencies, separating configuration, and other best practices for app portability and scalability. The document promotes following the 12 Factor App methodology to build apps that are easy to deploy and maintain in modern cloud environments.
Js Conf 2018 - Confessions of a JEE AddictRavi Lachhman
What is in your NPM Install? Point of view from a JEE developer why your package.json is growing and growing and what you can do to start to get a handle on dependency hell.
Someone Call the Operator - ATL K8's MeetupRavi Lachhman
Stateful vs Stateless Applications in Kubernetes might be cliche in 2018. A host of advancements and projects in the K8’s ecosystem help bridge the gap. With the Product Owner’s dilemma, having to produce a K8’s deployable was one more distribution for an application.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Machine Learning for Continuous DeliveryRavi Lachhman
Let our friends, the machines, help with building confidence in your Continuous Delivery pipeline. We can compare doughnuts to software to make this more delicious.
Doughnuts are made out of eggs, sugar, flour, a milk. An application to be useful requires compute, memory, storage, and networking. What does a delicious doughnut have to do with these pillars of infrastructure? We live in a world of finite resources. There are only so many doughnuts and so much infrastructure to run and power our applications. Resource Managers are crucial to make sure our applications have the firepower to run and be placed on the most efficient infrastructure. Let's look at varying requests for doughnuts and how popular resource manager algorithms work.
Kubernetes has celebrated it’s fourth birthday in 2018. This graduated pillar of the Cloud Native Computing Foundation is revolutionizing how workloads are ran. Container orchestrators have been rising in importance and popularity as workloads are being containerized. A recent shift of describing your applications to an orchestrator deployment descriptor to building applications with the orchestrator primitives. This shift is being lead by the orchestrator SDKs. Will be running quickly through the history of Kubernetes and diving into Operators and the Operators SDK.
Twelve Factor App vs Twelve Layer BurritoRavi Lachhman
The document compares the 12-layer burrito to the 12 Factor App methodology for building cloud-native applications. It outlines the key differences between the two, such as one being food and the other being software principles. It then proceeds to explain each of the 12 factors in the 12 Factor App methodology, such as having a codebase, managing dependencies, separating configuration, and other best practices for app portability and scalability. The document promotes following the 12 Factor App methodology to build apps that are easy to deploy and maintain in modern cloud environments.
Js Conf 2018 - Confessions of a JEE AddictRavi Lachhman
What is in your NPM Install? Point of view from a JEE developer why your package.json is growing and growing and what you can do to start to get a handle on dependency hell.
Someone Call the Operator - ATL K8's MeetupRavi Lachhman
Stateful vs Stateless Applications in Kubernetes might be cliche in 2018. A host of advancements and projects in the K8’s ecosystem help bridge the gap. With the Product Owner’s dilemma, having to produce a K8’s deployable was one more distribution for an application.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
3. What are we talking about?
Stability in an Unstable World #KubeCon @ravilach
•Two concepts that are at odds in computer science
•Why the rise in Cloud Native
•Justifying all of this change
25. Has to be good?
Stability in an Unstable World #KubeCon @ravilach
26. KPI? Is the K for K8’s?
Stability in an Unstable World #KubeCon @ravilach
27. We learned a little more about:
Stability in an Unstable World #KubeCon @ravilach
•Idempotency, Ephemerality, and Observability
•Software Define Everything
•Need of a solution to justify business outcomes
28. Software is
Feeding the World
-Ravi Lachhman
Stability in an Unstable World #KubeCon @ravilach
Technical Evangelist at AppDynamics.
Prior experience at Mesosphere, Red Hat, and IBM.
Specialties include SQL and NoSQL DB corruptions and not being able to do CIDR calculations.
Shift into Containers
Container Orchestrators
Rise in Container Orchestrator SDKs
Short lived and consistent results is the world we live in today.
I just want TWO doughnuts
We need resources to fulfill the request. This is pretty accurate.
I know there is always one in this type of box until exhausted
Your resource manager will help with this. Valid request!
In mathematics and computer science, idempotence is a property in which no matter how many times you execute some operations, you achieve the same outcome
In mathematics and computer science, idempotence is a property in which no matter how many times you execute some operations, you achieve the same outcome
Does it matter which box you are really on?
Enterprise Integration Patterns. The book’s authors, Gregor Hohpe and Bobby Woolf, describe a lot of the system-to-system design patterns that we depend on today. In the case of the financial service client, the design pattern was Idempotent Receiver (Consumer).
Start talking about sequence right away.
Enterprise Integration Patterns. The book’s authors, Gregor Hohpe and Bobby Woolf, describe a lot of the system-to-system design patterns that we depend on today. In the case of the financial service client, the design pattern was Idempotent Receiver (Consumer).
Re-iterate this new world. That is idempotency! Same outcomes regardless of input.
Ephemerality is a concept of things being short-lived or transitory.
Ephemerality is a concept of things being short-lived or transitory.
Ephemerality is a concept of things being short-lived or transitory.
Scale helps us overcome more than one problem. Availability and performance.
Since infrastructure is ephemeral, have to be able to recreate quickly.
To have both Idem and Emph, need to be recreatable.
To have scale, you need to build and destroy quickly. To build, aka “recreate” infrastructure.
Marc Andreessen’s famous quote—“software is eating the world”—proves equally true in the Cloud Native space. The most prolific push for generic hardware has been led by public cloud vendors. Similar to enterprises making the move to x86, cloud vendors have been pushing to make all parts of their stack as generic as possible. In case of failure or expansion, vendors can swap a generic part in and out with ease.
Configuration control and consistency is moving down the stack: from application to application infrastructure, and now down to infrastructure. With advances in software-defined infrastructure (SDI), the trifecta of load-balancing, clustering and replication can be applied to multiple parts of the stack.
Service Mesh
With the ever-widening adoption of the container networking interface (CNI), containerized applications can have a more consistent approach to network connectivity. For example, with Cisco Application Centric Infrastructure as a robust SDN platform, coupled with a service mesh, enterprises have a consistent and recreatable way of discovering and participating in services. AppDynamics can provide insight into this increasingly complex networking landscape as well.
Not long ago, storage in the cloud world was viewed as non-ephemeral. But as offerings, practices and architectures have begun to shift for some cloud storage products, there’s now a delineation between ephemeral and non-ephemeral storage. Although one of the pillars of a twelve-factor application is to run stateless processes, some sort of state needs to be written somewhere, and a popular place is to disk. Advances in software-defined storage (SDS), with projects such as Ceph and Gluster, provide object and file storage capabilities, respectively. Similar to the delineation of SDN and CNI, there is SDS and Container Storage Interface (CSI). For example, Portworx, a popular cloud-native storage vendor, coupled with commodity cloud or on-premises storage, allows for greater portability and storage consistency from the infrastructure to the container/application level.
Pire amount of choice!
https://github.com/cncf/landscape
Idempotency + Ephemerality + Observability = Cloud Native
Despite the inherent challenges with observability, insight into the system is crucial. Relating changes in ephemeral infrastructure to overall sentiment and KPIs can be a challenge as well. With AppDynamics, it’s much easier to validate and advance your investment in the software-defined world.
In control theory, observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs.
What is observability? Given an output, how well did a system perform. Going back to FreeCodeCamp’s palindrome example, if a string is a palindrome, how efficient was the system in determining the string was a palindrome?
In control theory, observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs.
Just because the doughnut is hot, doesn’t make the entire process good.
Since that doughnut is so good, has to be perfect?
Used to wait forever to get them fresh….
Despite the inherent challenges with observability, insight into the system is crucial. Relating changes in ephemeral infrastructure to overall sentiment and KPIs can be a challenge as well. With AppDynamics, it’s much easier to validate and advance your investment in the software-defined world.
Idempotency and Ephemerality
Software Define Everything
Need of a solution to justify business outcomes
With the generic hardware approach, a good amount of logic moves to the software stack. The rationale here is that if hardware is ephemeral, reconstituting the compute, storage, and even networking would be both seamless and consistent with software-defined storage and networking. Applying this to the public/hybrid cloud market, a software-driven solution that’s robust, scalable and portable becomes a core component of Cloud Native.