En esta charla vamos hablar cerca de una estrategia de release llamada Blue-green deployment.
Cuales son sus vantages y custos que podremos tener y como eso se queda en practica.
Blue green deployments involve creating two identical production environments called blue and green. Only one environment receives live traffic at a time, while the other remains idle. When an application update is ready, it is deployed to the idle environment. Once testing is complete, traffic is routed to the updated environment, which becomes the new production environment while the other goes idle. This process eliminates downtime and allows easy rollbacks if needed.
Serverless computing allows running applications without managing infrastructure. Google Cloud Platform offers serverless options like Cloud Functions, Cloud Run, and App Engine. Common serverless patterns include publish-subscribe using PubSub, triggering functions from events, and data pipelines with Dataflow. Serverless applications are built using containers, functions, and fully managed services to focus on code and reduce operational overhead.
This document provides an overview of Azure Container Apps. It discusses the different container options in Azure, including Container Instance, App Service, Kubernetes Service, and Kubernetes on VMs. It presents Container Apps as a simpler option compared to Kubernetes that provides auto-scaling and other capabilities without managing a Kubernetes cluster. The rest of the document demonstrates Container Apps features like environments, containers, revisions, Dapr for microservice management, and KEDA for auto-scaling. It provides pricing information and the presenter's wish list for future Container Apps capabilities. In summary, the presenter believes Container Apps is a promising evolution from Container Instance but not yet production ready.
YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This document provides an overview of Burr Sutter's 9 steps to getting awesome with Kubernetes. It begins with an introduction and outlines the steps which include installing Kubernetes, building container images, using kubectl commands, viewing logs, configuring environments, service discovery, rolling updates, and debugging databases. It also discusses options for installing Kubernetes like Minikube, managing Kubernetes manifests, building container images, and using operators. The document provides resources for learning more about each step and technology discussed.
Learn how the Blue/Green Deployment methodology combined with AWS tools and services can help reduce the risks associated with software deployment. We will illustrate common patterns and highlight ways deployment risks are mitigated by each pattern. Topics will include how services like AWS CloudFormation, AWS Elastic Beanstalk, Amazon EC2 Container Service, Amazon Route53, Auto Scaling and Elastic Load Balancing can help automate deployment. We will also address how to effectively manage deployments in the context of data model and schema changes. Learn how you can adopt blue/green for your software release processes in a cost-effective and low-risk way.
This document contains contact information for Deivid Soares and Felipe Feltes regarding continuous deployment using Azure DevOps. It discusses a continuous integration/continuous delivery demo and thanks the recipients. It also references Github samples related to a DevOps lab.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes masters manage worker nodes, and pods which are the basic building blocks, containing one or more containers. It provides self-healing, horizontal pod autoscaling, service discovery, load balancing, configuration management.
Blue green deployments involve creating two identical production environments called blue and green. Only one environment receives live traffic at a time, while the other remains idle. When an application update is ready, it is deployed to the idle environment. Once testing is complete, traffic is routed to the updated environment, which becomes the new production environment while the other goes idle. This process eliminates downtime and allows easy rollbacks if needed.
Serverless computing allows running applications without managing infrastructure. Google Cloud Platform offers serverless options like Cloud Functions, Cloud Run, and App Engine. Common serverless patterns include publish-subscribe using PubSub, triggering functions from events, and data pipelines with Dataflow. Serverless applications are built using containers, functions, and fully managed services to focus on code and reduce operational overhead.
This document provides an overview of Azure Container Apps. It discusses the different container options in Azure, including Container Instance, App Service, Kubernetes Service, and Kubernetes on VMs. It presents Container Apps as a simpler option compared to Kubernetes that provides auto-scaling and other capabilities without managing a Kubernetes cluster. The rest of the document demonstrates Container Apps features like environments, containers, revisions, Dapr for microservice management, and KEDA for auto-scaling. It provides pricing information and the presenter's wish list for future Container Apps capabilities. In summary, the presenter believes Container Apps is a promising evolution from Container Instance but not yet production ready.
YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This document provides an overview of Burr Sutter's 9 steps to getting awesome with Kubernetes. It begins with an introduction and outlines the steps which include installing Kubernetes, building container images, using kubectl commands, viewing logs, configuring environments, service discovery, rolling updates, and debugging databases. It also discusses options for installing Kubernetes like Minikube, managing Kubernetes manifests, building container images, and using operators. The document provides resources for learning more about each step and technology discussed.
Learn how the Blue/Green Deployment methodology combined with AWS tools and services can help reduce the risks associated with software deployment. We will illustrate common patterns and highlight ways deployment risks are mitigated by each pattern. Topics will include how services like AWS CloudFormation, AWS Elastic Beanstalk, Amazon EC2 Container Service, Amazon Route53, Auto Scaling and Elastic Load Balancing can help automate deployment. We will also address how to effectively manage deployments in the context of data model and schema changes. Learn how you can adopt blue/green for your software release processes in a cost-effective and low-risk way.
This document contains contact information for Deivid Soares and Felipe Feltes regarding continuous deployment using Azure DevOps. It discusses a continuous integration/continuous delivery demo and thanks the recipients. It also references Github samples related to a DevOps lab.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes masters manage worker nodes, and pods which are the basic building blocks, containing one or more containers. It provides self-healing, horizontal pod autoscaling, service discovery, load balancing, configuration management.
Kubernetes have been widely adopted. The next challenge of scaling Kubernetes through the organization is multi-tenancy. This session will walk through how we can do multi-tenancy on Kubernetes with access control, fair sharing, and isolation.
Youtube Recorded: https://youtu.be/oCEL-nWhc-w
TechTalkThai Conference: Kubernetes Trends
September 16, 2021
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
[2022 DevOpsDays Taipei] 走過 DevOps 風雨的下一步Edward Kuo
This document discusses DevOpsDays Taipei 2022 and the evolution of DevOps. It notes that Taiwan held its first DevOpsDays conference in 2016, and since then DevOps has grown from a little discussed topic to one that most industries now talk about and implement. The document discusses challenges of DevOps like ensuring team members always have work to do and that Agile is not just about quickly writing code. It also discusses database challenges in DevOps like automated provisioning and monitoring. Overall it advocates that with DevOps, many streams can be accommodated, and that there is no single path but what works for each organization.
Docker allows for easy deployment and management of applications by wrapping them in containers. It provides benefits like running multiple isolated environments on a single server, easily moving applications between environments, and ensuring consistency across environments. The document discusses using Docker for development, production, and monitoring containers, and outlines specific benefits like reducing deployment time from days to minutes, optimizing hardware usage, reducing transfer sizes, and enhancing productivity. Future plans mentioned include using Kubernetes for container orchestration.
The document discusses the Kubernetes API server and its RESTful HTTP API. It describes the API endpoints for accessing different Kubernetes resources, how API groups and versions are organized, how API requests are routed and processed, how Kubernetes objects are converted between different versions, and how storage and code generation are used.
Failure is not an Option - Designing Highly Resilient AWS SystemsAmazon Web Services
Customers moving mission-critical applications to the cloud are seeking guidance to replicate and improve the resiliency of their Tier-1 systems, while simultaneously meeting compliance and regulatory requirements. Natural disasters, internet disruptions, hardware or software failure can lead to events requiring customers to invoke disaster recovery (DR) plans. Join us in this session to learn how to “design for failure” and remain resilient in the event of disaster by designing applications using highly resilient components and service features.
Blueprinting DevOps for Digital Transformation_v4Aswin Kumar
This document discusses how DevOps can enable digital transformation. It defines "being digital" as creating business through digital products/services and innovating for end-user experience. DevOps is presented as a paradigm shift that can help deliver digitalization through a collaborative mindset, continuous feedback, ecosystem collaboration, and automation. The document outlines key challenges to DevOps adoption, such as business/IT alignment and skills gaps, and proposes initiatives in areas like collaboration, standardization, customer experience, and self-service IT to drive digital transformation benefits.
1. Docker EE will include an unmodified Kubernetes distribution to provide orchestration capabilities alongside Docker Swarm.
2. When running mixed workloads across orchestrators, resource contention is a risk and it is recommended to separate workloads by orchestrator on each node for now.
3. Docker EE aims to address the shortcomings of running mixed workloads to better support this in the future.
A session on how to use Azure DevOps best practices for developing and publishing applications and infrastructure to Azure, whether you use PaaS, FaaS or IaaS
Change Data Streaming Patterns For Microservices With Debezium (Gunnar Morlin...confluent
Gunnar Morling presents on change data streaming patterns for microservices using Debezium. Debezium is an open source platform for change data capture that retrieves change events from transaction logs of different databases. It streams these events to Apache Kafka in a unified format. This allows microservices to stay synchronized by consuming the change events and keeping their local data stores in sync without direct database access. Various patterns are demonstrated including microservice data synchronization, leveraging single message transformations, and ensuring data quality.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
Today, the development and operations landscape has shifted to a more collaborative model merging the two (DevOps). Developers need to know much more about the operational components of their software - especially around network programming, services development, and continuous deployment. Likewise, the developer's IT counterpart needs to know much more about development - especially around infrastructure automation (Chef/Puppet), automated testing, and continuous deployment.
This document discusses DevOps and the movement towards closer collaboration between development and operations teams. It advocates that operations work should start early in the development process, with developers and operations communicating about non-functional requirements, security, backups, monitoring and more. Both developers and operations staff should aim to automate infrastructure and deployments. The goal is reproducible, reliable deployments of applications and their supporting systems.
This presentation by Serhii Abanichev (System Architect, Consultant, GlobalLogic) was delivered at GlobalLogic Kharkiv DevOps TechTalk #1 on October 8, 2019.
In this talk were covered:
- Full coverage of DevOps with Azure DevOps Services:
- Create, test and deploy in any programming language, to any cloud or local environment.
- Run concurrently on Linux, macOS, and Windows, deploying containers for individual hosts or Kubernetes.
- Azure DevOps Services: a Microsoft solution that replaces dozens of tools ensuring smooth delivery to end users.
Event materials: https://www.globallogic.com/ua/events/kharkiv-devops-techtalk-1/
This document outlines the key responsibilities and skills required for a DevOps role, including experience with systems administration, virtualization, scripting, development, continuous integration, automation, cloud platforms, and monitoring tools. It also emphasizes the importance of configuration management, strict service level agreements, and an escalation process for problem resolution.
While many organizations have started to automate their software develop processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Optymalizacja środowiska Open Source w celu zwiększenia oszczędności i kontroliEDB
The document discusses optimizing the Open Source environment to increase savings and control. It covers evolving database infrastructure models in enterprises to get more for less. Key areas discussed include where Postgres can be most easily implemented, Postgres advances that enable new data types and challenges, and how to assess whether and how to implement Postgres. Case studies are presented that demonstrate cost savings and performance benefits organizations achieved by adopting Postgres.
Kubernetes have been widely adopted. The next challenge of scaling Kubernetes through the organization is multi-tenancy. This session will walk through how we can do multi-tenancy on Kubernetes with access control, fair sharing, and isolation.
Youtube Recorded: https://youtu.be/oCEL-nWhc-w
TechTalkThai Conference: Kubernetes Trends
September 16, 2021
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
[2022 DevOpsDays Taipei] 走過 DevOps 風雨的下一步Edward Kuo
This document discusses DevOpsDays Taipei 2022 and the evolution of DevOps. It notes that Taiwan held its first DevOpsDays conference in 2016, and since then DevOps has grown from a little discussed topic to one that most industries now talk about and implement. The document discusses challenges of DevOps like ensuring team members always have work to do and that Agile is not just about quickly writing code. It also discusses database challenges in DevOps like automated provisioning and monitoring. Overall it advocates that with DevOps, many streams can be accommodated, and that there is no single path but what works for each organization.
Docker allows for easy deployment and management of applications by wrapping them in containers. It provides benefits like running multiple isolated environments on a single server, easily moving applications between environments, and ensuring consistency across environments. The document discusses using Docker for development, production, and monitoring containers, and outlines specific benefits like reducing deployment time from days to minutes, optimizing hardware usage, reducing transfer sizes, and enhancing productivity. Future plans mentioned include using Kubernetes for container orchestration.
The document discusses the Kubernetes API server and its RESTful HTTP API. It describes the API endpoints for accessing different Kubernetes resources, how API groups and versions are organized, how API requests are routed and processed, how Kubernetes objects are converted between different versions, and how storage and code generation are used.
Failure is not an Option - Designing Highly Resilient AWS SystemsAmazon Web Services
Customers moving mission-critical applications to the cloud are seeking guidance to replicate and improve the resiliency of their Tier-1 systems, while simultaneously meeting compliance and regulatory requirements. Natural disasters, internet disruptions, hardware or software failure can lead to events requiring customers to invoke disaster recovery (DR) plans. Join us in this session to learn how to “design for failure” and remain resilient in the event of disaster by designing applications using highly resilient components and service features.
Blueprinting DevOps for Digital Transformation_v4Aswin Kumar
This document discusses how DevOps can enable digital transformation. It defines "being digital" as creating business through digital products/services and innovating for end-user experience. DevOps is presented as a paradigm shift that can help deliver digitalization through a collaborative mindset, continuous feedback, ecosystem collaboration, and automation. The document outlines key challenges to DevOps adoption, such as business/IT alignment and skills gaps, and proposes initiatives in areas like collaboration, standardization, customer experience, and self-service IT to drive digital transformation benefits.
1. Docker EE will include an unmodified Kubernetes distribution to provide orchestration capabilities alongside Docker Swarm.
2. When running mixed workloads across orchestrators, resource contention is a risk and it is recommended to separate workloads by orchestrator on each node for now.
3. Docker EE aims to address the shortcomings of running mixed workloads to better support this in the future.
A session on how to use Azure DevOps best practices for developing and publishing applications and infrastructure to Azure, whether you use PaaS, FaaS or IaaS
Change Data Streaming Patterns For Microservices With Debezium (Gunnar Morlin...confluent
Gunnar Morling presents on change data streaming patterns for microservices using Debezium. Debezium is an open source platform for change data capture that retrieves change events from transaction logs of different databases. It streams these events to Apache Kafka in a unified format. This allows microservices to stay synchronized by consuming the change events and keeping their local data stores in sync without direct database access. Various patterns are demonstrated including microservice data synchronization, leveraging single message transformations, and ensuring data quality.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
Today, the development and operations landscape has shifted to a more collaborative model merging the two (DevOps). Developers need to know much more about the operational components of their software - especially around network programming, services development, and continuous deployment. Likewise, the developer's IT counterpart needs to know much more about development - especially around infrastructure automation (Chef/Puppet), automated testing, and continuous deployment.
This document discusses DevOps and the movement towards closer collaboration between development and operations teams. It advocates that operations work should start early in the development process, with developers and operations communicating about non-functional requirements, security, backups, monitoring and more. Both developers and operations staff should aim to automate infrastructure and deployments. The goal is reproducible, reliable deployments of applications and their supporting systems.
This presentation by Serhii Abanichev (System Architect, Consultant, GlobalLogic) was delivered at GlobalLogic Kharkiv DevOps TechTalk #1 on October 8, 2019.
In this talk were covered:
- Full coverage of DevOps with Azure DevOps Services:
- Create, test and deploy in any programming language, to any cloud or local environment.
- Run concurrently on Linux, macOS, and Windows, deploying containers for individual hosts or Kubernetes.
- Azure DevOps Services: a Microsoft solution that replaces dozens of tools ensuring smooth delivery to end users.
Event materials: https://www.globallogic.com/ua/events/kharkiv-devops-techtalk-1/
This document outlines the key responsibilities and skills required for a DevOps role, including experience with systems administration, virtualization, scripting, development, continuous integration, automation, cloud platforms, and monitoring tools. It also emphasizes the importance of configuration management, strict service level agreements, and an escalation process for problem resolution.
While many organizations have started to automate their software develop processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Optymalizacja środowiska Open Source w celu zwiększenia oszczędności i kontroliEDB
The document discusses optimizing the Open Source environment to increase savings and control. It covers evolving database infrastructure models in enterprises to get more for less. Key areas discussed include where Postgres can be most easily implemented, Postgres advances that enable new data types and challenges, and how to assess whether and how to implement Postgres. Case studies are presented that demonstrate cost savings and performance benefits organizations achieved by adopting Postgres.
Optimizing Open Source for Greater Database Savings & ControlEDB
Postgres kan een grote rol spelen in het beheersbaar maken van kosten en in het verlagen van de afhankelijkheid van traditionele database vendoren. Met Postgres is het mogelijk om DBMS kosten met 80% of meer te reduceren.
EnterpriseDB Postgres Plus Advanced Server biedt Oracle compatibiliteit met Enterprise tools en features welke gebaseerd zijn op het legendarische OSS PostgreSQL platform.
Hoogtepunten van de presentatie zijn:
- Een overzicht van het database landschap – verleden, heden en toekomst
- Hoe TCO te verlagen en Postgres te integreren in uw huidige database omgeving
- Welke workloads zijn het best geschikt om Postgres te introduceren in uw datacenter
- Kritische succesfactoren voor het succesvol uitbreiden van Postgres implementaties
- De laatste ontwikkelingen in de recente Postgres releases welke nieuwe data types en uitdagingen ondersteunen
Doelgroep: Deze presentatie is bedoeld voor strategische IT-en zakelijke beslissers welke betrokken zijn bij IT infrastructuur en applicatie ontwikkeling. U bent op zoek naar kostenbesparing met een veilige, betrouwbare en bewezen database.
Cloud-Native Patterns and the Benefits of MySQL as a Platform Managed ServiceVMware Tanzu
You can’t have cloud-native applications without a modern approach to databases and backing services. Data professionals are looking for ways to transform how databases are provisioned and managed.
In this webinar, we’ll cover practical strategies you can employ to deliver improved business agility at the data layer. We’ll discuss the impact that microservices are having in the enterprise, and what this means for MySQL and other popular databases. Join us and learn the answers to these common questions:
● How can you meet the operational challenge of scaling the number of MySQL database instances and managing the fleet?
● Adding to this scale challenge, how can your MySQL instances maintain availability in a world where the underlying IT infrastructure is ephemeral?
● How can you secure data in motion?
● How can you enable self-service while maintaining control and governance?
We’ll cover these topics and share how enterprises like yours are delivering greater outcomes with our Pivotal Platform managed MySQL.
Now you can scale without fear of failure.
Presenters:
Judy Wang, Product Management
Jagdish Mirani, Product Marketing
Continuous Deployment to the Cloud - Topher BullockVMware Tanzu
This document discusses continuous deployment to the cloud using Concourse CI. It notes that many companies, including those with large distributed teams, are adopting continuous deployment practices to deploy software faster and identify issues earlier. Concourse CI is introduced as an open-source continuous integration and delivery tool that models pipelines as sequences of jobs that interact with external resources. Examples are provided of how Concourse CI can be used to rapidly iterate software locally and continuously deploy applications in a safe and automated way.
Cloud migration is the process of moving databases, applications, and IT processes from on-premises infrastructure to the cloud. It requires preparation and advance work but results in cost savings and flexibility. Businesses choose between strategies like rehosting (moving to cloud servers), refactoring (reusing code on a cloud platform), rewriting code, or replacing applications with cloud-based software. They must also decide between hybrid cloud (mixing on-premises and cloud infrastructure) or multicloud (using multiple public cloud providers). The main challenges are ensuring data integrity during transfer and migrating large databases, while maintaining continuous operations.
Picking the Right Clustering for MySQL - Cloud-only Services or Flexible Tung...Continuent
As businesses head into the cloud, it is tempting to use the first product that offers to make database operation relatively simple by punching a few buttons on a menu. However, there's a big difference between firing up cloud database services, such as Amazon RDS, for testing or development and finding a real data management solution, such as Continuent Tungsten, that can handle hundreds of millions of transactions daily.
This webinar explores how your business can benefit from Continuent Tungsten, a flexible clustering solution that helps data-driven businesses handle billions of transactions daily across a wide range of environments. We'll focus on the following problems in particular:
- Ensuring fully capable cloud DBMS operation
- Avoiding lock-in by choosing solutions that run across clouds as well as on-premises
- Spreading MySQL data over regions using flexible primary/DR and multi-master topologies
- Controlling maintenance intervals and the DBMS stack directly
- Integrating in real-time to data warehouses and on-premises DBMS like Oracle
- Ensuring immediate access to top-notch, 24x7 support when things go south.
Your data is too precious to take shortcuts. Learn how you can use Continuent Tungsten to build scalable management solutions that offer the economic benefits of the cloud with the enterprise capabilities required by businesses that live and die by their data.
Migrating to Cloud: Inhouse Hadoop to Databricks (3)Knoldus Inc.
Modernize your Enterprise Data Lake to Serverless Data Lake, where data, workloads, and orchestrations can be automatically migrated to the cloud-native infrastructure.
How to migrate workloads to the google cloud platformactualtechmedia
IT Organizations of all sizes are moving their workloads to the public cloud in order to gain business agility, unlimited workload scalability, and free their time to work on the projects that matter. One of the leaders in public cloud is the Google Cloud Platform (GCP)
Cloud-Native Data: What data questions to ask when building cloud-native appsVMware Tanzu
While a number of patterns and architectural guidelines exist for cloud-native applications, a discussion about data often leads to more questions than answers. For example, what are some of the typical data problems encountered, why are they different, and how can they be overcome?
Join Prasad Radhakrishnan from Pivotal and Dave Nielsen from Redis Labs as they discuss:
- Expectations and requirements of cloud-native data
- Common faux pas and strategies on how you can avoid them
Presenters:
Prasad Radhakrishnan, Platform Architecture for Data at Pivotal
Dave Nielsen, Head of Ecosystem Programs at Redis Labs
MSFT MAIW Data Mod - Session 1 Deck_Why Migrate your databases to Azure_Sept ...ssuser01a66e
Microsoft Azure Immersion Workshop focused on data modernization and migrating databases to Azure. Key reasons for migrating included enabling remote work during the pandemic, improving business resiliency, and adopting emerging technologies. Digital transformation is affecting all companies, which now need to operate like digital companies. When migrating databases to Azure, customers can choose between infrastructure as a service (IaaS) options like SQL Server VMs or platform as a service (PaaS) options like Azure SQL that are fully managed by Microsoft. Migrating databases to Azure PaaS options can significantly reduce costs compared to on-premises databases and provide benefits like automatic updates and built-in security and high availability.
Upgrading to Oracle SOA 12.1 & 12.2 - Practical Steps and Project ExperiencesBruno Alves
The document discusses strategies for upgrading an Oracle SOA Suite from 11g to 12c. It recommends either an in-place upgrade or side-by-side upgrade approach. The in-place upgrade involves updating the existing 11g environment to 12c, while the side-by-side approach sets up a new 12c environment and migrates composites. Lessons from customer upgrade projects include performing a side-by-side upgrade to avoid issues with rollbacks, carefully testing the upgrade, and addressing changes in areas like deployment and tuning between the versions.
The document discusses upgrading Oracle SOA and BPM from version 11g to 12c. It outlines the key upgrade strategies of doing an in-place upgrade versus a side-by-side upgrade. It also discusses whether to upgrade to 12cR1 or 12cR2. Lessons learned from customer upgrade cases emphasize carefully following prerequisites, testing strategies, and considering a side-by-side approach over an in-place upgrade.
Migrating Into the Cloud: The Brownfield vs. Greenfield OpportunityJulia Smith
The IT world is a complex space and companies may not have the money to completely replace all of their systems. Therefore we need solutions to optimize what we already have. This white paper examines the differences between Greenfield and Brownfield environments – particularly as it pertains to cloud migrations.
The document is a presentation about running Greenplum on Pivotal Container Service (PKS). It discusses how PKS provides an enterprise-grade Kubernetes platform using BOSH for deployment, lifecycle management, and monitoring. It then outlines use cases for running Greenplum on PKS such as flexible sizing, automated testing, and advanced security/high availability in production. Finally, it discusses the roadmap for tighter integration between Greenplum and PKS capabilities like command center, backup/restore, and ecosystem partnerships.
Ceph Day New York 2014: Ceph and the Open Ethernet Drive Architecture Ceph Community
HGST is introducing a new open Ethernet drive architecture that leverages the Linux ecosystem and connects storage directly into the data center fabric using Ethernet. The demonstration drive has an ARM CPU, RAM, and Ethernet connectivity while maintaining the standard 3.5" HDD form factor. The integrated demo includes a 4U enclosure with 60 drive slots and 10Gbps Ethernet ports, allowing the devices to appear as Linux servers. HGST is working on solutions for software-defined scale-out storage and code contributions to projects like Ceph to optimize storage services close to the drive media.
Optimizing Open Source for Greater Database Savings and ControlEDB
This EnterpriseDB presentation reviews:
- What workloads are best suited for introducing Postgres into your environment
- The success milestones for evaluating the ‘when and how’ of expanding Postgres deployments
- Key advances in recent Postgres releases that support new data types and evolving data challenges
This presentation is intended for strategic IT and Business Decision-Makers involved in data infrastructure decisions and cost-savings.
Visit Enterprisedb.com/Resources to listen the webinar recording.
El desarrollo orientado hacia la nube es una realidad. Muchas empresas han reemplazado sus herramientas y modificado sus operaciones para obtener beneficios ofrecidos por este nuevo paradigma. Durante esta sesión se pretende abordar temas relacionados con el surgimiento de estas tecnologías. Entre los cuales destacan los distintos modelos de servicio y despliegue, estrategias para la adopción y el uso de herramientas existentes como Kubernetes.
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real EventsVMware Tanzu
SpringOne 2020
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real Events
James Webb, MTS at T-Mobile
Brendan Aye, Technical Director, Platform Architecture at T-Mobile
As companies have adopted faster development methodologies a new constraint has emerged in the journey to digital transformation: data. Data has long been the neglected discipline, the weakest link in the tool chain, with provisioning times still counted in days, weeks, or even months. In addition, most companies are still using decades-old processes to manage and deploy database changes, further anchoring development teams.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Project Management: The Role of Project Dashboards.pdfKarya Keeper
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
8. Things to watch out
❏Infrastructure
❏Shared underlying infrastructures (VMs, Docker)
❏Long running transactions on current environment
❏Backward incompatible changes
❏Database migrations
❏ Changes on APIs response
9. Dealing with backward incompatibility
❏Expand and contract strategy
❏Works for changes on:
❏ API contracts breaks
❏ DB Changes
❏ Dependent systems (Sabre, coordinated microservices changes)
10. Changing DB schema
❏Separate deploy:
❏ Schema changes
❏ Application upgrades
❏DB refactoring + current application version = rollback point
11. Expand and contract applied on DB changes
❏Apply a database refactoring
❏ expand DB
❏Deploy the database refactoring
❏ expand app
❏Remove the support to older schema
❏ contract db and app
Blue-green is a technique to deploy your application in a predictable manner and one of the goals is to reduce the downtime associated with the release.
Simply you have two identical environments. In our case, the green environment has the current version of our application.
When you ran all your integration pipeline and tests, you can deploy the new version of application to blue environment and run some smoke tests and any other tests you might find worth to do so.
Api Management as Load Balancer for Services
Blue-green is a technique to deploy your application in a predictable manner and one of the goals is to reduce the downtime associated with the release.
Simply you have two identical environments. In our case, the green environment has the current version of our application.
When you ran all your integration pipeline and tests, you can deploy the new version of application to blue environment and run some smoke tests and any other tests you might find worth to do so.
Api Management as Load Balancer for Services
Once you are confident that the version the new version is stable, you simply switch the load balancer/router to the blue environment.
Now you can monitor for any issues in the new release. If everything looks good, you can shutdown the green env and use it to stage any new releases.
If you find any issues, you can simply point the loadbalancer back to green.
This way you the blue and green envs are cycling between live (current), previous (for rollback) and next version.
You have to have an infrastructure to deal with this
When you try blue-green in a non-isolated infrastructure, you run the risk of destroying BOTH blue and green envs
When you switch over to blue, you have to gracefully handle those outstanding transactions as well as the new ones.
Database migrations can get really tricky and would have to be migrated/rolledback alongside the app deployments.
Databases can often be a challenge, specially if you are changing the schema.
The tip is to separate the deployment of schemas changes from application upgrades
First apply a database refactoring to change the schema to support the old and new version of the application, then deploy the DB refactoring
After you make sure everything works fine with the current version of application (to have a rollback point), deploy the new version of the application
Once you make sure things are working as expected, remove the support to the older version.
Databases can often be a challenge, specially if you are changing the schema.
The tip is to separate the deployment of schemas changes from application upgrades
First apply a database refactoring to change the schema to support the old and new version of the application, then deploy the DB refactoring
After you make sure everything works fine with the current version of application (to have a rollback point), deploy the new version of the application
Once you make sure things are working as expected, remove the support to the older version.
Databases can often be a challenge, specially if you are changing the schema.
The tip is to separate the deployment of schemas changes from application upgrades
First apply a database refactoring to change the schema to support the old and new version of the application, then deploy the DB refactoring
After you make sure everything works fine with the current version of application (to have a rollback point), deploy the new version of the application
Once you make sure things are working as expected, remove the support to the older version.