Januar 2019 - Seite 81 von 89 - Cloud Computing Köln

Developing applications today comes with lots of choices and plenty to learn, whether you’re exploring serverless computing or managing a raft of APIs. In today’s post, we’re sharing some of our top videos on what’s new in application development on Google Cloud Platform (GCP) to find tips and tricks you can use.1. One Platform for Your Functions, Applications, and ContainersThis demo-packed session walks you through the use of Knative, our Kubernetes-based platform for building and deploying serverless apps. This session goes through how to get started with using Knative to further the goal of focusing on writing code. You’ll see how it uses APIs that are familiar from GKE, and auto-scales and auto-builds to remove added tasks and overhead. The demos show how Knative spins up prebuilt containers, builds custom images, previews new versions of your apps, migrates traffic to those versions, and auto-scales to meet unpredictable usage patterns, among other steps in the build and deploy pipeline. You’ll see the cold start experience, along with preconfigured monitoring dashboards and how auto-termination works.The takeaway: Get an up-close view into how a serverless platform like Knative works, and what it looks like to further abstract code from the underlying infrastructure.2. Where Should I Run My Code? Serverless, Containers, VMs and MoreYou have a lot of key choices to make when deciding how and which technology to adopt to meet your application development needs. In this session, you’ll hear about various options for running code and the tradeoffs that may come with your decisions. Considerations include what your code is used for: Does it connect to the internet? Are there licensing considerations? Is it part of a push toward CI/CD? Is it language-dependent or kernel-limited? It’s also important to consider your team’s skills and interests as you decide where you want to focus, and where you want to run your code.The takeaway: Understand the full spectrum of compute models (and related Google Cloud products) first, then consider the right tool for the job when choosing where to run your code.3. Starting with Kubernetes Engine: Developer-friendly Deployment Strategies and Preparing for GrowthKubernetes empowers developers by making hard tasks possible. In this session, we introduce Kubernetes as a workload-level abstraction that lets you build your own deployment pipeline, and starts with the premise that rather than making simple tasks easier. The session walks through how to deploy containers with Kubernetes, and configuring a deployment pipeline with Cloud Build. Deployment strategy advice includes using probes to check container integrity and connectedness, using configuration as code for a robust production deployment environment, setting up a CI/CD pipeline, and requesting that the scheduler provision the right resources for your container. It concludes with some tips on preparing for growth by configuring automated scaling using the requests per section (RPS) metricThe takeaway: Kubernetes can help you automate deployment operations in a highly flexible and customizable way, but needs to be configured correctly for maximum benefit. Help Kubernetes help you for best results.4. Designing Quality APIsThere’s a lot of advice out there about APIs, so this session recommends focusing on what your goals are for each API you create. That could be updating or integrating software, among others. Choose a problem that’s important to solve with your API, and weigh your team and organization’s particular priorities when you’re creating that API. This session also points out some areas where common API mistakes happen, like version control or naming, and recommends using uniform API structure. When in doubt, keep it simple and don’t mess up how HTTP is actually used.The takeaway: APIs have to do a lot of heavy lifting these days. Design the right API for the job and future-proof it as much as you can for the people and organizations who will use it down the road.5. Life of a Serverless Event: Under the Hood of Serverless on Google Cloud PlatformThis session takes a top-to-bottom look at how we define and run serverless here at Google. Serverless compute platforms make it easy to quickly build applications, but sometimes identifying and diagnosing issues can be difficult without a good understanding of how the underlying machinery is working. In this session, you’ll learn how Google runs untrusted code at scale in a shared computing infrastructure, and what that means for you and your applications. You’ll learn how to build serverless applications that are optimized for high performance at scale, learn the tips and pitfalls associated with this, and see a live demo of optimization on Cloud Functions.The takeaway: When you’re running apps on a serverless platform, you’re focusing on managing those things that elevate your business. See how it actually works so you’re ready for this stage of cloud computing.6. Serverless All the Way Down: Build Serverless Systems with Compute, Data, and MLHere’s a look at what serverless is, and what it is specifically on GCP. The bottom line is that serverless brings invisible infrastructure that automatically scales, and where you’re only charged for what you use. Serverless tools from GCP are designed to spring to life when they’re needed, and scale very closely to usage needs. In this session, you’ll get a look at how the serverless pieces come together with machine learning in a few interesting use cases, including medical data transcription and building an e-commerce recommendation engine that works even when no historical data is available. Make sure to stay for the cool demo from the CEO of Smart Parking, who shows a real-time, industrial-grade IoT system that’s improving parking for cities and drivers—without a server to be found.The takeaway: Serverless helps workloads beyond just compute: learn how, why, and when you might use it for your own apps.
Quelle: Google Cloud Platform

4. Januar 2019

da Agency

A distinguished engineer’s 6 trends to watch in 2019

Douglas Adams once wrote, “Trying to predict the future is a mug’s game. But increasingly, it’s a game we all have to play because the world is changing so fast and we need to have some sort of idea of what the future’s actually going to be like because we are going to have to live there, probably next week.”
Change continues apace. I’m once again dusting off my crystal ball to consider those trends I see clients facing as we move into 2019. Based on my experience in the field and looking back at my previous predictions — and trying to keep my track record going — these are the six trends I anticipate 2019 will bring:
1. Cloud professional skills will remain in demand.
Even with the massive growth in cloud, there is still a lack of good cloud skills among professionals. Speed of technology change makes growing new skills hard and many organizations are struggling to keep cloud-skilled professionals. The limited number of skilled employees means those with the right knowledge may be tempted to move as other companies pay premium rates. Automation may be part of the solution. These toolsets will free professionals from mundane cloud tasks and help hide complexity. This will help grow the pool of skilled people.
2. Serverless and container use will grow.
In 2019, “serverless” may be the trigger that moves enterprise workloads to the cloud. This model is becoming more established and better understood. Many enterprises are likely to use both serverless and containerization technology for their workloads. Clients concerned about lock-in to proprietary solutions will look to open source alternatives.
3. The hybrid multicloud approach will expand.
First we had cloud, then hybrid cloud, then multicloud. Organizations still disagree over what these all mean. All we can say is that what clients are doing in practice doesn’t fit the textbook definitions. New tools will make the integration of cloud and non-cloud, on- and off-premises simpler. Real choice over where to deploy what workload will improve as a result.
4. Bare metal will become “cloudy”.
Purists will tell you that “bare metal servers” are not cloud. Yet there is an increasing provision of these across all the major cloud platforms. For some workloads and use cases these are the right answer. Performance, isolation and unique workloads all benefit here. Forget purity and embrace pragmatism.
5. Focus on software costs will increase as value moves up the stack.
Rarely does a week goes by without some reduction in pricing of one cloud service or another. The greatest downward pressure to date has been in the infrastructure layer. As costs continue to fall here, more focus will fall on higher layers in the stack. Costs of platform and software services will come under greater scrutiny by clients. Expect to see price reductions here too.
6. Security will continue to be critical.
Time and effort protecting clouds and cloud applications will have benefits. Threats will change as clouds reach into new business areas. Many companies see exploitation of Internet of Things (IoT) and smart devices as the next likely way in, so new security methods will be needed. For the worst offenders, punitive GDPR penalties will result.
For readers concerned that this is all going in an uncomfortable speed and direction, look to Douglas Adams once again: “Don’t panic.”
Learn more about IBM Cloud.
The post A distinguished engineer’s 6 trends to watch in 2019 appeared first on Cloud computing news.
Quelle: Thoughts on Cloud