Jelastic - Turn Containers into Money Making Machine - WHD.global 2016

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Jelastic Multi-Cloud PaaS

Find out how to enter the market of Docker containers, PaaS and DevOps. Big players on the cloud market are moving in containers and DevOps direction. They are offering container services with high level of deployment automation, workload mobility and management with a help of Docker containers. To be competitive in hosting business the service providers must catch the wave of the current trends and meet demands of customers. Better hardware or support is not enough for the differentiation anymore.

Turn Containers
into Money Making Machine

Invaluable
Experience

What Can Influence Your Business?

Catch the Wave to Succeed

Docker Phenomena
 History and Experience – dotCloud PaaS
 Fast Success – more than $1bln valuation
 Rapid Adoption – 5x during the last year

Docker Phenomena
Solomon Hykes - Founder of Docker

 Faster and Cheaper
 Easy to Scale
 Easy to Migrate
Why Сontainers Are So Popular?

 Bare CaaS or container-based PaaS
 Managed services on containers
What Hosters Can Offer

Reach new DevOps
customers
How to Get to the Container Market?
Upgrade legacy
VPS customers

Who Are the Target Customers?

SMBs Looking for Public Cloud

ISVs Looking for VPC

SMEs Looking for Private Cloud

What Can Be the Barrier?

Lack of Expertise

Fear to Invest in a New Trend?

Competition with Big Cloud Players

What is the Solution?

Business Platform
Customers
ServiceProvider

Build Your Own Solution

Use a Ready-to-Go Solution

Resell Existing Solutions

Power up your business!
Contact us
for more Information
Booth # Z02

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The benefits of virtualization and cloud technologies already became clear with all published articles and millions of speeches. However, more available options produce the "problem of choice". There is a question which periodically comes up - what virtualization technology to choose for a specific use case. In this session, we'll analyze the difference of running the projects inside application containers, system containers and VMs. We will cover the peculiarities in deployment, resource usage efficiency, cloud interoperability and security for each type, as well as discuss what options are more appropriate for different cases. In addition, we’ll review the possibilities of running your application inside a Kubernetes cluster, what configurations should be taken into account, and how to overcome the barriers on the way to more efficient Kubernetes hosting. Webinar recording https://www.youtube.com/watch?v=8m_8PL8mXsU Learn more about efficient Kubernetes hosting https://jelastic.com/kubernetes-hosting/ Container Types https://jelastic.com/blog/container-types/ Containers and VMs on same Host https://jelastic.com/blog/container-virtual-machines-hosted-together/

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Jelastic Multi-Cloud PaaS

Availability and performance have a direct business impact for most of the companies nowadays. No one wants to lose money because of occasional downtime or data loss. Thus, to minimize the risk and ensure an extra level of redundancy, clustering and automatic scaling should be used. In this video Ruslan Synytsky presented how Jelastic PaaS implemented auto-clustering of MariaDB by providing the customers with different replication options out-of-box with no need in manual configurations. It is also detailed how to automate vertical and horizontal scaling of databases running in the cloud. Video recording of the session https://www.youtube.com/watch?v=6MND3feb5zM

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In this presentation, you'll find out what metrics should be tracked in order to meet the load requirements of application, how to finetune scaling triggers in order to efficiently handle different load levels, how to automate vertical and horizontal scaling of Jakarta EE applications running in the cloud. Also, we share how to integrate load performance testing tools for adjusting horizontal scaling and making sure that your application can cope with production workloads. Practical side is shown based on Jelastic PaaS https://jelastic.com/

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Java is finally elastic! OpenJDK improvements and new features in Garbage Collection technology resulted in enhancing Java vertical scaling and resource consumption. Now JVM can promptly return unused memory and, as result it can go up and down automatically. In this presentation, we cover the main achievements in vertical scaling direction, as well as share peculiarities and tuning details of different GCs. Find out how to make your Java environments more elastic to follow the load and lower down the total cost of ownership at a large scale.

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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/

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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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