Jelastic DevOps with Containers in VPC and Hybrid Cloud

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This document provides an overview of DevOps with containers in VPC and hybrid cloud environments. It discusses problems with traditional development and operations workflows, and how DevOps addresses these through automation, integration, measurement, communication and collaboration. It then covers Docker containers, microservices architectures, DevOps pipelines, container orchestration, automatic scaling, high availability, and deploying workloads across public and private clouds or regions for redundancy.

Technology

Dev Problem
10:15 Install OS
11:20 Configure the system
12:05 Coffee Break
13:05 Configure security
14:15 Configure Web server
15:40 Configure Database
16:20 Couple of sandwiches
16:50 Configure firewall
17:20 Deploy application
17:45 Call wife and apologize for the late return
18:00 Identify library dependencies
20:30 Upgrade packages
22:15 Fix dependencies
23:50 Couple cans of Red Bull
01:30 Run!!!
02:05 The end of the working day

Dev Problem
Developers love to create applications
and hate to administer servers

DevOps is a Software Development Method
Automation, Integration, Measurement, Communication, Collaboration

CRIU – Checkpoint/Restore In Userspace
Live Migration for Containers

Microservices = Decomposition
Complex apps are composed of small, independent processes

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
 Modular and polyglot
 Deployed and updated independently
 Much easier to scale and maintain
 Flexibility is the key
Micro-services
Micro-services vs. Monolithic
One monolithicVM
Multiple Containers

Application level
load balancing, session replication, clustering
Hardware level
software defined storage, live migration, smart
distribution
High Availability

Public Cloud
VPC
VPC –Virtual Private Cloud

Public Cloud
Private Cloud
Hybrid Cloud
Hybrid Cloud

Jelastic Multi-Cloud Orchestrator
Your Bridge to Cloud Union
17 DCs in
8 Countries
11 DCs and 23 AZs in
8 Countries
3 DCs and 10 AZs in
3 Countries
25 DCs in
11 Countries
36 DCs in
25 Countries

Hybrid and Multi-Cloud
Features
 Smooth migration across multiple cloud providers
 Live migration between Azure or AWS regions
 High availability across multiple clouds
 Disaster recovery of workloads from AWS to Azure
 Automatic scaling for load spikes and temporary burst
 Unification of DevOps workloads deployment
Benefits
 Autonomy – no vendor lock-in
 Hybridity – better performance with lower costs
 HA and DR – reduced downtime risk

30+ Hosting Providers
10+ Private Cloud Customers
15+ Reselling Partners
200,000+ Developers
25+ Countries
Ecosystem

Java “Oscar” in 2012 – Duke’s Choice Award

Father of Java
Independent Board Director of Jelastic
Do you Know James Gosling?

Rasmus Lerdorf
Technical Adviser of Jelastic
Father of PHP

MichaelWidenius – “Monty”
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Jelastic Multi-Cloud PaaS

Kubernetes enables possibilities to develop cloud native microservices or decompose traditional applications making them more technologically advanced with the help of containers. Currently, most of the Kubernetes solutions are offered on top of VMs and there is a room for further improvements. Implementing nested architecture of application containers running inside system containers opens additional flexibility of resource allocation and management, accelerates provisioning of the clusters and pods, as well as cuts the overall costs. Or in other words it enhances 3 Ps - Provisioning, Performance and Price. During this session Ruslan Synytsky (CEO and co-founder of Jelastic PaaS) reviews the possibilities of running a Kubernetes cluster inside nested containers, what configurations should be taken into account, and how to overcome the barriers on the way to more efficient Kubernetes hosting. Video presentation: https://youtu.be/VzkXuMx7jLE Learn more at https://jelastic.com/kubernetes-hosting/

WordPress Cluster for Enterprise High-Availability and On-Demand Scaling

Jelastic Multi-Cloud PaaS

Website availability and performance have a direct business impact. Find out what kind of configurations can make WordPress sites scalable, highly available, bulletproof against any downtimes or malware attacks. Avoid a bad user experience caused by the downtime with a help of pre-packaged WordPress cluster that includes automated server scaling and database replication, built-in HTTP/3 ready CDN and SSL, integrated WAF and layer-7 anti-DDoS filtering, as well as a set of other features required for high availability and security of your sites. More details based on the presentation are covered in the webinar https://youtu.be/NPyx2VBbUos WordPress Cluster installation guide https://jelastic.com/blog/wordpress-hosting-enterprise-high-availability-auto-scaling/ WordPress Standalone Installation Guide https://jelastic.com/blog/wordpress-hosting-standalone-container/ How to migrate to Jelastic WordPress hosting https://jelastic.com/blog/migrate-wordpress-site/ Send a request to get access to Jelastic WordPress cluster https://jelastic.com/managed-auto-scalable-clusters-for-business/#wordpress

Elastic JVM for Scalable Java EE Applications Running in Containers #Jakart...

Jelastic Multi-Cloud PaaS

Being configured smartly, Java can be scalable and cost-effective for all ranges of projects — from cloud-native startups to legacy enterprise applications. During this session, we will share our experiences in tuning RAM usage in a Java process to make it more elastic and gain the benefits of faster scaling and lower total cost of ownership (TCO). With microservices, cloud hosting, and vertical scaling in mind, we'll compare the top Java garbage collectors to see how efficiently they handle memory resources. The provided results of testing G1, Parallel, ConcMarkSweep, Serial, Shenandoah, ZGC and OpenJ9 garbage collectors while scaling Java EE applications vertically will help you to make the right choice for own projects. More details about Garbage Collector types https://jelastic.com/blog/garbage-collection/ Free registration at Jelastic https://jelastic.com/

Choosing Right Garbage Collector to Increase Efficiency of Java Memory Usage

Jelastic Multi-Cloud PaaS

This document discusses various garbage collectors and their performance when used with Java applications. It provides an overview of garbage collectors like G1, Shenandoah, ZGC, OpenJ9, C4, ConcMarkSweep, Serial, Parallel, Epsilon and their configurations and performance. Load testing results of these garbage collectors are presented when run on Jelastic and Kubernetes. Methods to dynamically adjust Java heap size like -XX:SoftMaxHeapSize, -Xsoftmx and dynamic max memory limit are also covered.

SaaSification in Action. Attracting Software Vendors with Easy Transformation

Jelastic Multi-Cloud PaaS

Software vendors got to the point that as-a-service is not just hype but new opportunities for their businesses. That’s why currently we increasingly frequently hear about launching Anything-as-a-Service (XaaS). The transition is in active phase but many ISVs are struggling with technical blockers or lack of expertise on their way to the desired outcome. In this presentation, you'll find out how cloud hosting service providers can ease the transformation for software vendors, thus attracting ISVs as potential clients, building value in own services, and ultimately customer retention.

State of the Art UI - Overview of Jelastic PaaS Functionality

Jelastic Multi-Cloud PaaS

How to Make Money Solving 5 Major Problems of Cloud Hosting Customers

Jelastic Multi-Cloud PaaS

Cloud hosting brings lots of preferences, but at the same time reveals several painful problems for customers. Here are some of them: - Problem #1: Complexity of Managing Infrastructure - Problem #2: Lock-In and Overpaying Killing Business - Problem #3: Wasting Developers for Server Configuration - Problem #4: Compatibility of Legacy Applications - Problem#5: Data Location - Latency and GDPR Find out details on each challenge with useful hints how service providers can solve these problems and convert them into a new source of profit. Learn more about new revenue channels https://jelastic.com/cloud-business-for-hosting-providers/ Contact us and get instructions how to level up your business https://jelastic.com/contact/

Multi-Cloud Lightweight Platform as a Service

Jelastic Multi-Cloud PaaS

From VMs to Containers: Decompose and Migrate Old Legacy JavaEE Application

Jelastic Multi-Cloud PaaS

It is not a trivial task to decompose large monolithic enterprise applications and migrate them into multiple containers architecture without redesign. In this presentation, we dive deeply into the decomposition process and show the ways of making it smooth with the help of auto-scaling and load balancing. Find out the main road blockers and possible solutions during migration of GlassFish based applications from VMs to Containers based on the real experience.

Automating CICD Pipeline with GitLab and Docker Containers for Java Applications

Jelastic Multi-Cloud PaaS

Setting up proper CI/CD pipeline usually appears to be quite a complex and time-consuming task even for an experienced developer, as you need to know how to properly combine all the application components with the required CI/CD interconnection points. Moreover, in the Docker world you have to manage builds of your stack images. But everyone understands the importance of this process to save time, money and efforts, as well as increase the quality. See how to make the required configurations in order to automate and simplify the preparation of environments for all lifecycle stages, perform instant integration of new product versions and make updates without downtimes.

Automated Scaling of Microservice Stacks for JavaEE Applications

Jelastic Multi-Cloud PaaS

Cloud Hosting Business in Africa: Market Specifics and Ways to Grow

Jelastic Multi-Cloud PaaS

Automated scaling of microservice stacks for JavaEE applications - JEEConf 2017

Jelastic Multi-Cloud PaaS

Auto scaling of Java EE applications is not that easy task, that is why we decided to help you and highlighted a general concept for Java EE apps with real use cases, issues, and tricky things. Find out how to configure and package clustered Payara Micro with load balancing, automatic scaling and dedicated storage for building cloud-native microservices from this comprehensive presentation by Ihor Kolodyuk (Technical Director at Jelastic) at JEEConf Kyiv 2017.

Jelastic DevOps Platform Product Overview for Service Providers

Jelastic Multi-Cloud PaaS

Auto Scaling for Multi-Tier Containers Topology

Jelastic Multi-Cloud PaaS

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