Automation CI CD with Gitlab, Java, docker on Hidora - Jelastic
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How to commit, build, deploy and run with Gitlab for a Java application used on docker, hosted on the swiss hoster Hidora, Jelastic platform.
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The document discusses using distributed version control systems (DVCS) like Git and Mercurial with Eclipse. It summarizes Intland Software's codeBeamer product, which is an application lifecycle management solution that integrates with DVCS. The document outlines how codeBeamer is used by customers for tasks like requirements management, issue tracking, and distributed development. It then compares the workflows for centralized and distributed version control before providing an example workflow for mobile app development. The document concludes by explaining why Intland chose to support DVCS.DevOps, Continuous Integration and Deployment on AWS
Organizations around the globe are leveraging the cloud to accomplish world-changing missions. This session will address how AWS can help organizations put more money toward their mission and scale outreach and operations to achieve more with less. Hear some of the most advanced AWS customers on how their organizations handle DevOps, continuous integration, and deployment. Learn how these practices allow them to rapidly develop, iterate, test, and deploy highly scalable web applications and core operational systems on AWS. The discussion will focus on best practices, lessons learned, and the specific technologies and services these customers use.
Docker Birthday #5 Meetup Cluj - Presentation
- Docker celebrated its 5th birthday with events worldwide including one in Cluj, Romania. Over 100 user and customer events were held.
- The Docker platform now has over 450 commercial customers, 37 billion container downloads, and 15,000 Docker-related jobs on LinkedIn.
- The event in Cluj included presentations on Docker and hands-on labs to learn Docker, as well as social activities like taking selfies with a birthday banner.
Webinar : Microservices and Containerization
- Venkat is the DevOps Practice Leader at NewtGlobal with over 16 years of experience delivering enterprise projects.
- The webinar will discuss microservices and include a Q&A session. Questions can be asked in the chat window.
- Moving from monolithic to microservices architecture allows individual components to be independently deployed, scaled, and developed using different technologies. This improves agility but also increases complexity.
Are VMs Passé?
Ben Golub argues that while virtual machines (VMs) solved earlier problems of server consolidation, containers provide a better solution for modern application development and deployment needs. Containers offer several advantages over VMs, including faster provisioning, greater density, near bare-metal performance, and more flexibility. Golub outlines how Docker addresses earlier issues with containers by making them lightweight, standardized, interoperable and easy to automate across environments. This allows applications to be packaged and run consistently regardless of infrastructure. Golub believes containers allow for a better separation of application management from infrastructure management compared to VMs.
Are VM Passé?
Are VM passé? Ben Golub's awesome presentation about Docker, the project roadmap and its ecosystem at Interop Las Vegas
Why kubernetes matters
We are on the cusp of a new era of application development software: instead of bolting on operations as an after-thought to the software development process, Kubernetes promises to bring development and operations together by design.
Continuos Integration and Delivery: from Zero to Hero with TeamCity, Docker a...
A journey from the beginning of software deployment to the latest technologies for high availability.
Diving Into Docker
This document summarizes a presentation about Docker and microservices and what they mean for enterprise DevOps strategies. It discusses what Docker and microservices are, how they will impact development, operations, and other teams. It recommends that enterprises investigate these technologies, understand how to integrate them into existing systems and processes, and quantify the potential business benefits before adopting them. The presentation also discusses how the tool vendor XebiaLabs is helping customers prepare for and adopt containers and microservices.
SS Introduction to Docker
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Docker12 factor
This document discusses modernizing apps using Docker and the 12 Factor methodology. It begins by thanking sponsors and introducing new organizers. It then provides an overview of the evolution of application architectures from the late 90s to today. It notes the benefits of using Docker, such as faster deployments, version tracking, and security. It discusses moving from a monolith application to a microservices architecture using Docker and following the principles of the 12 Factor App methodology to address challenges of distributed systems, rapid deployments, and automation. The 12 factors are then each explained in detail and how Docker can help implement them for building modern, scalable apps.
Jelastic - DevOps for Java with Docker Containers - Madrid 2015
Containers brought new approach for implementation of DevOps workflows. So our CEO, Ruslan Synytsky, devoted a speech to this topic during Madrid meetup and described in details how Java developers can get benefits from Docker containers in Jelastic Cloud.
Amazon Web Services and PaaS - Enterprise Java for the Cloud Era? - Mark Pric...
The extraordinary growth of Java during the last decade owed everything to the set of infrastructure services that application servers provided as part of the platform. However, TCO eventually drove the move to the cloud and PaaS (Platform as a Service) is set to deliver a standard run-time for the next generation of applications, replacing the proprietary infrastructure provided by the application server vendors. Now the question is: where do developers of real-world business applications look for a common set of standard infrastructure services? Is there a common framework that can provide essential application services, such as message queueing, push notifications, email integration, in-memory caching and processing? Amazon Web Services (AWS) with their highly-scaleable IaaS (Infrastructure as a Service) model are an obvious answer, but how best to combine Java's rich ecosystem of tools, frameworks and knowledge with the scale and cost-effectiveness of cloud-based web services? This session will help you to understand how you can deliver applications that make effective use of those services by using a Java PaaS, without being forced to support the underlying infrastructure. In this code-rich session, aimed at architects and developers, Mark Prichard of CloudBees will show how you can: Pass Amazon security credentials and configuration parameters to PaaS applications at run-time to provide customized environments; use JDBC and Amazon RDS (Relational Data Service) to provide resilient and performant relational data servicesReplace JMS queues and topics with Amazon SQS (Simple Queue Service) and SNS (Simple Notification Service) to develop cloud-based messaging applications; use Amazon's SES (Simple Email Service) from Java applications. We'll also look at other cloud e-mail services that offer easy integration with the PaaS modelRun distributed caching solutions in the cloud using Amazon ElastiCache's in-memory distributed caching with Java PaaS deployments.
The Case Against Microservices
The document discusses the pros and cons of using microservices architecture. It notes that microservices introduce more complexity, including issues with API evolution, error handling, distributed tracing, and deployment. It recommends starting with a monolith and adopting microservices gradually, after establishing continuous delivery capabilities. Microservices may be worthwhile for large teams, shared services, isolated new functionality, or very high load apps, but the document warns of risks from operational complexity if prerequisites and culture are not in place.
TransitioningToMicroServonDocker_MS
Lana Kalashnyk presented on transitioning to Java microservices on Docker. Key points included:
- Microservices involve breaking applications into small, independent services that communicate via APIs. Docker containers help deploy and manage microservices.
- The presentation demonstrated a Java microservice that polls a Bitcoin node for block height updates. It was packaged into a Docker container using Wildfly Swarm and exposed via REST APIs.
- A React web page displayed the data from the microservice. This illustrated how microservices and containers could replace outdated .NET web services.
- Benefits of microservices include independent deployability, fault isolation, and infrastructure automation using containers. Challenges include managing transactions and data
Docker Bday #5, SF Edition: Introduction to Docker
In celebration of Docker's 5th birthday in March, user groups all around the world hosted birthday events with an introduction to Docker presentation and hands-on-labs. We invited Docker users to recognize where they were on their Docker journey and the goal was to help them take the next step of their journey with the help of mentors. This presentation was done at the beginning of the events (this one is from the San Francisco event in HQ) and gives a run down of the birthday event series, Docker's momentum, a basic explanation of containers, the benefits of using the Docker platform, Docker + Kubernetes and more.
European SharePoint Conference - TH3
This document discusses using containers and the Azure Container Service to extend Office Add-ins. It describes how containers provide a lightweight platform to simplify building, shipping, and running apps. Containers use a shipping container system for code, allowing apps to run everywhere without conflicts. The Azure Container Service is optimized for hosting containers at large scale and makes it easy to manage containers. It includes Docker swarm or DC/OS for container orchestration and is open source.
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Think Small To Go Big - Introduction To Microservices
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VMworld 2015: Container Orchestration with the SDDC
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Process Improvement in Distributed Software Development Using Eclipse with Me...
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DevOps, Continuous Integration and Deployment on AWS
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Jelastic - DevOps for Java with Docker Containers - Madrid 2015
Jelastic - DevOps for Java with Docker Containers - Madrid 2015
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Amazon Web Services and PaaS - Enterprise Java for the Cloud Era? - Mark Pric...
Docker Bday #5, SF Edition: Introduction to Docker
Docker Bday #5, SF Edition: Introduction to Docker
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Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
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Topics covered:
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In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
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We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
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The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
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AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
AWS Certified Solutions Architect Associate (SAA-C03)
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"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
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Automation CI CD with Gitlab, Java, docker on Hidora - Jelastic
- 2. 2 Developers’ dream • Write the code • Deliver to end-users • Do not think about management • Push updates without any problems
- 3. 3 Developers’ reality • Create VPS or VM • Install and configure App server + DB + ... • Install and configure additional modules • Push the code • Pray the code will run as on Dev machine • Rebuild application/change code after update
- 4. 4 What is the solution?
- 5. DevOps is a Software Development Method 5 Automation, Integration, Measurement, Communication, Collaboration
- 6. 6
- 9. 9 Virtual Machine VS Containers
- 10. 10 Micro-Service VS Monolithic Monolithic Application ‒ Very often we redeploy everything ‒ Mutual dependencies slow down development ‒ Long QA cycle leads to less often updates ‒ High risk of failure or VM overload ‒ Very hard to scale ü Modular and polyglot ü Deployed and updated independently ü Much easier to scale and maintain ü Flexibility is the key Micro-services One monolithic VM Multiple Containers
- 11. Automating CI / CD Pipeline with GitLab and Docker containers for Java Application
- 12. We are NOT here to TALK … but to SHOW this ACTION
- 13. 13 Products •Portability •Minimal setup •Easy to use •All in One CI/CD components • Powerful turnkey UI •Native docker hosting •Pay-per-use •Intuitive UI
- 16. 16 What the manifest.jps does 1.Creates 2 system containers with pre-installed Docker engine and compose 2.Configures dynamic ENV VARS (tokens, passwords, domain) 3.Mounts shared folders via NFS 4.Generates and configures SSL 5.Deploys GitLab Server and Container Registry via docker-compose.yml 6.Creates and registers one Runner + adds automation for the further scaling
- 17. 17 Import the manifest .JPS
- 19. 19 Create a CI pipeline + .gitlab-ci.yml
- 20. 20 Check « runners » Checking runners > Open “Runners”
- 22. 22 New runners automatically registred
- 23. 23 Add Hidora env variable
- 24. 25 Continous integration Commit Build Deploy Run
- 26. 26 Modification of the code
- 31. 31 Exemple of complex deployment pipeline Pipeline with automatic and manual triggers