DigitalOcean vs Google Cloud Platform
Last updated: August 18, 2022
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DigitalOcean vs Google Cloud Platform in our news:
2022. Google Cloud will shutter its IoT Core service next year
Google Cloud announced this week that it’s shutting down its IoT Core service, giving customers a year to move to a partner to manage their IoT devices. It believes that having partners manage the process for customers is a better way to go. “Since launching IoT Core, it has become clear that our customers’ needs could be better served by our network of partners that specialize in IoT applications and services. We have worked extensively to provide customers with migration options and solution alternatives, and are providing a year-long runway before IoT Core is discontinued” a Google spokesperson explained.
2022. Google expands Vertex, its managed AI service, with new features
Roughly a year ago, Google announced the launch of Vertex AI, a managed AI platform designed to help companies to accelerate the deployment of AI models. Today the company announced new features heading to Vertex, including a dedicated server for AI system training and “example-based” explanations. As Google has historically pitched it, the benefit of Vertex is that it brings together Google Cloud services for AI under a unified UI and API. Customers including Ford, Seagate, Wayfair, Cashapp, Cruise and Lowe’s use the service to build, train and deploy machine learning models in a single environment, Google claims — moving models from experimentation to production.
2020. Cloud for developers DigitalOcean raises $50M
DigitalOcean, the cloud for developing modern apps, today announced it has closed a $50 million Series C funding round led by Access Industries, with participation from Andreessen Horowitz. DigitalOcean Cloud simplifies modern app creation for new generations of developers — from individual developers to startups and SMBs. Its infrastructure and platform-as-a-service (IaaS and PaaS) solutions provide a “no DevOps required” experience, allowing developers to focus their energy on creating innovative software. The new $50 million values the company at $1.15 billion, meaning it was worth $1.1 billion pre-money.
2020. Cloud infrastructure provider DigitalOcean raises $100M
DigitalOcean, a cloud infrastructure provider targeting smaller business and younger companies, announced today that it has secured $100 million. Because DigitalOcean is a self-serve SaaS business, folks can show up and get started without hand-holding from sales. Sales cycles are expensive and slow. But, while allowing small companies to sign up on their own sounds attractive, companies that often lean on this acquisition method struggle with churn. DigitalOcean is working to carve out an SMB and developer-focused cloud infra niche, keeping its economics in a good place by using low-CAC, self-serve revenue generation. The margins from that are paying for the company’s development, and its overall economics are good enough to allow it to leverage debt to invest in itself instead of equity. Overall, not what I expected to hear this morning, but that’s the fun part of news.
2019. Google Cloud gets a new family of cheaper general-purpose compute instances
Google Cloud announced the launch of its new E2 family of compute instances. These new instances, which are meant for general-purpose workloads, offer a significant cost benefit, with saving of around 31% compared to the current N1 general-purpose instances. The new system is also smarter about where it places VMs, with the added flexibility to move them to other hosts as necessary. To achieve all of this, Google built a custom CPU scheduler. Google says that “unlike comparable options from other cloud providers, E2 VMs can sustain high CPU load without artificial throttling or complicated pricing. It’ll be interesting to see some benchmarks that pit the E2 family against similar offerings from AWS and Azure.
2018. Google Cloud adds new applications performance monitoring tool
Google added a key ingredient for developers building applications on the Google Cloud Platform - a suite of application performance management tools called Stackdriver APM. It is designed for developers to track issues in the applications they have built instead of passing that responsibility onto operations. The thinking is that the developers who built the applications and are closest to the code are therefore best suited to understand the signals coming from it. StackDriver APM is made up of three main tools: Profiler, Trace and Debugger. Trace and Debugger have already been available, but by putting them together with Profiler, the three tools work together to identify, track and repair code issues.
2017. Google Cloud Platform cuts the price of GPUs by up to 36 percent
Google is cutting the price of using Nvidia’s Tesla GPUs through its Compute Engine by up to 36 percent. In U.S. regions, using the somewhat older K80 GPUs will now cost $0.45 per hour while using the newer and more powerful P100 machines will cost $1.46 per hour (all with per-second billing). Thus Google is aiming this feature at developers who want to run their own machine learning workloads on its cloud, though there also are a number of other applications — including physical simulations and molecular modeling — that greatly benefit from the hundreds of cores that are now available on these GPUs.
2017. Google Cloud Platform gets a cheaper, lower-performance networking tier
Google is giving its Cloud Platform users a new, cheaper networking option. Developers can now choose between a premium tier, which routes traffic to their users over Google’s own high-speed networks for as long as possible to minimize hops and distance, and a standard tier, which routes traffic over the public internet, with all the potential slowdowns and extra hops this entails. Pricing for the standard tier is 24-33 percent lower than for the premium tier in North America and Europe. Google uses different pricing models for these two tiers, though. Prices for premium traffic is based on the traffic’s source and destination, so you pay for the distance your traffic travels over Google’s network, while the standard tier’s prices are only based on where the source is.
2017. Google Cloud Platform improved its free tier
Google launched an improved always-free tier and trial program for its Cloud Platform. The free tier, which now offers enough power to run a small app in Google’s cloud, now allows for free usage of a small (f1-micro) instance in Compute Engine, Cloud Pub/Sub, Google Cloud Storage and Cloud Functions. In total, the free tier now includes 15 services. The addition of the Compute Engine instance and 5GB of free Cloud Storage usage is probably the most important update here because those are, after all, the services that are at the core of most cloud applications. You can find the exact limits here. With this move, Google is clearly stepping up its attacks against AWS, which offers a similar but more limited free tier program for its users.
2017. Google Cloud Platform takes on Windows Azure with new Windows VMs
Google announced several new products today aimed at luring IT pros who are using Windows in their data centers to the Google Cloud Platform. The company introduced support for Microsoft SQL Server Enterprise and Windows Server Core on the Cloud Platform. In addition, the company announced support for SQL Server Always-On Availability Group for customers who are concerned about high availability and disaster recovery when running critical operations in a cloud setting. What this means in practical terms is that IT pros can now launch pre-configured virtual machines running any of these products on Google Cloud Platform, and pay for them by the minute — or they can bring an existing SQL Server license they have already paid for.