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Vantage raises $4M to help businesses understand their AWS costs
Vantage, a service that helps businesses analyze and reduce their AWS costs, today announced that it has raised a $4 million seed round led by Andreessen Horowitz. A number of angel investors, including Brianne Kimmel, Julia Lipton, Stephanie Friedman, Calvin French Owen, Ben and Moisey Uretsky, Mitch Wainer and Justin Gage, also participated in this round.
Vantage started out with a focus on making the AWS console a bit easier to use — and helping businesses figure out what they are spending their cloud infrastructure budgets on in the process. But as Vantage co-founder and CEO Ben Schaechter told me, it was the cost transparency features that really caught on with users.
“We were advertising ourselves as being an alternative AWS console with a focus on developer experience and cost transparency,” he said. “What was interesting is — even in the early days of early access before the formal GA launch in January — I would say more than 95% of the feedback that we were getting from customers was entirely around the cost features that we had in Vantage.”
Image Credits: Vantage
Like any good startup, the Vantage team looked at this and decided to double down on these features and highlight them in its marketing, though it kept the existing AWS Console-related tools as well. The reason the other tools didn’t quite take off, Schaechter believes, is because more and more, AWS users have become accustomed to infrastructure-as-code to do their own automatic provisioning. And with that, they spend a lot less time in the AWS Console anyway.
“But one consistent thing — across the board — was that people were having a really, really hard time 12 times a year, where they would get a shocking AWS bill and had to figure out what happened. What Vantage is doing today is providing a lot of value on the transparency front there,” he said.
Over the course of the last few months, the team added a number of new features to its cost transparency tools, including machine learning-driven predictions (both on the overall account level and service level) and the ability to share reports across teams.
Image Credits: Vantage
While Vantage expects to add support for other clouds in the future, likely starting with Azure and then GCP, that’s actually not what the team is focused on right now. Instead, Schaechter noted, the team plans to add support for bringing in data from third-party cloud services instead.
“The number one line item for companies tends to be AWS, GCP, Azure,” he said. “But then, after that, it’s Datadog, Cloudflare, Sumo Logic, things along those lines. Right now, there’s no way to see, P&L or an ROI from a cloud usage-based perspective. Vantage can be the tool where that’s showing you essentially, all of your cloud costs in one space.”
That is likely the vision the investors bought into, as well, and even though Vantage is now going up against enterprise tools like Apptio’s Cloudability and VMware’s CloudHealth, Schaechter doesn’t seem to be all that worried about the competition. He argues that these are tools that were born in a time when AWS had only a handful of services and only a few ways of interacting with those. He believes that Vantage, as a modern self-service platform, will have quite a few advantages over these older services.
“You can get up and running in a few clicks. You don’t have to talk to a sales team. We’re helping a large number of startups at this stage all the way up to the enterprise, whereas Cloudability and CloudHealth are, in my mind, kind of antiquated enterprise offerings. No startup is choosing to use those at this point, as far as I know,” he said.
The team, which until now mostly consisted of Schaechter and his co-founder and CTO Brooke McKim, bootstrapped the company up to this point. Now they plan to use the new capital to build out its team (and the company is actively hiring right now), both on the development and go-to-market side.
The company offers a free starter plan for businesses that track up to $2,500 in monthly AWS cost, with paid plans starting at $30 per month for those who need to track larger accounts.
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Google Cloud launches Vertex AI, a new managed machine learning platform
At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.
The launch of Vertex is the result of quite a bit of introspection by the Google Cloud team. “Machine learning in the enterprise is in crisis, in my view,” Craig Wiley, the director of product management for Google Cloud’s AI Platform, told me. “As someone who has worked in that space for a number of years, if you look at the Harvard Business Review or analyst reviews, or what have you — every single one of them comes out saying that the vast majority of companies are either investing or are interested in investing in machine learning and are not getting value from it. That has to change. It has to change.”
Image Credits: Google
Wiley, who was also the general manager of AWS’s SageMaker AI service from 2016 to 2018 before coming to Google in 2019, noted that Google and others who were able to make machine learning work for themselves saw how it can have a transformational impact, but he also noted that the way the big clouds started offering these services was by launching dozens of services, “many of which were dead ends,” according to him (including some of Google’s own). “Ultimately, our goal with Vertex is to reduce the time to ROI for these enterprises, to make sure that they can not just build a model but get real value from the models they’re building.”
Vertex then is meant to be a very flexible platform that allows developers and data scientist across skill levels to quickly train models. Google says it takes about 80% fewer lines of code to train a model versus some of its competitors, for example, and then help them manage the entire lifecycle of these models.
Image Credits: Google
The service is also integrated with Vizier, Google’s AI optimizer that can automatically tune hyperparameters in machine learning models. This greatly reduces the time it takes to tune a model and allows engineers to run more experiments and do so faster.
Vertex also offers a “Feature Store” that helps its users serve, share and reuse the machine learning features and Vertex Experiments to help them accelerate the deployment of their models into producing with faster model selection.
Deployment is backed by a continuous monitoring service and Vertex Pipelines, a rebrand of Google Cloud’s AI Platform Pipelines that helps teams manage the workflows involved in preparing and analyzing data for the models, train them, evaluate them and deploy them to production.
To give a wide variety of developers the right entry points, the service provides three interfaces: a drag-and-drop tool, notebooks for advanced users and — and this may be a bit of a surprise — BigQuery ML, Google’s tool for using standard SQL queries to create and execute machine learning models in its BigQuery data warehouse.
“We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create an industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production,” said Andrew Moore, vice president and general manager of Cloud AI and Industry Solutions at Google Cloud. “We are very proud of what we came up with in this platform, as it enables serious deployments for a new generation of AI that will empower data scientists and engineers to do fulfilling and creative work.”
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AWS releases tool to open source that turns on-prem software into SaaS
AWS announced today that it’s releasing a tool called AWS SaaS Boost as open source distributed under the Apache 2.0 license. The tool, which was first announced at the AWS re:Invent conference last year, is designed to help companies transform their on-prem software into cloud-based software as a service.
In the charter for the software, the company describes its mission this way: “Our mission is to create a community-driven suite of extensible building blocks for Software-as-a-Service (SaaS) builders. Our goal is to foster an open environment for developing and sharing reusable code that accelerates the ability to deliver and operate multi-tenant SaaS solutions on AWS.”
What it effectively does is provide the tools to turn the application into one that lets you sign up users and let them use the app in a multi-tenant cloud context. Even though it’s open source, it is designed to get you to move your application into the AWS system where you can access a number of AWS services such as AWS CloudFormation, AWS Identity and Access Management (IAM), Amazon Route 53, Elastic Load Balancing, AWS Lambda (Amazon’s serverless tool), and Amazon Elastic Container Service (Amazon’s Kubernetes Service). Although presumably you could use alternative services, if you were so inclined.
By making it open source, it gives companies that would need this kind of service access to the source code, giving them a comfort level and an ability to contribute to the project to expand upon the base product and give back to the community. That makes it a win for users who get flexibility and the benefit of a community behind the tool, and a win for AWS, which gets that community working on the tool to improve and enhance it over time.
“Our objective with AWS SaaS Boost is to get great quality software based on years of experience in the hands of as many developers and companies as possible. Because SaaS Boost is open source software, anyone can help improve it. Through a community of builders, our hope is to develop features faster, integrate with a wide range of SaaS software, and to provide a high quality solution for our customers regardless of company size or location,” Amazon’s Adrian De Luca wrote in a blog post announcing the intent to open source SaaS Boost.
This announcement comes just a couple of weeks after the company open-sourced its Deep Racer device software, which runs its machine-learning fueled mini race cars. That said, Amazon has had a complex relationship with the open source in the past couple of years, where companies like MongoDB, Elastic and CockroachDB have altered their open-source licenses to prevent Amazon from making their own hosted versions of these software packages.
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Cycode raises $20M to secure DevOps pipelines
Israeli security startup Cycode, which specializes in helping enterprises secure their DevOps pipelines and prevent code tampering, today announced that it has raised a $20 million Series A funding round led by Insight Partners. Seed investor YL Ventures also participated in this round, which brings the total funding in the company to $24.6 million.
Cycode’s focus was squarely on securing source code in its early days, but thanks to the advent of infrastructure as code (IaC), policies as code and similar processes, it has expanded its scope. In this context, it’s worth noting that Cycode’s tools are language and use case agnostic. To its tools, code is code.
“This ‘everything as code’ notion creates an opportunity because the code repositories, they become a single source of truth of what the operation should look like and how everything should function, Cycode CTO and co-founder Ronen Slavin told me. “So if we look at that and we understand it — the next phase is to verify this is indeed what’s happening, and then whenever something deviates from it, it’s probably something that you should look at and investigate.”
Cycode Dashboard. Image Credits: Cycode
The company’s service already provides the tools for managing code governance, leak detection, secret detection and access management. Recently it added its features for securing code that defines a business’ infrastructure; looking ahead, the team plans to add features like drift detection, integrity monitoring and alert prioritization.
“Cycode is here to protect the entire CI/CD pipeline — the development infrastructure — from end to end, from code to cloud,” Cycode CEO and co-founder Lior Levy told me.
“If we look at the landscape today, we can say that existing solutions in the market are kind of siloed, just like the DevOps stages used to be,” Levy explained. “They don’t really see the bigger picture, they don’t look at the pipeline from a holistic perspective. Essentially, this is causing them to generate thousands of alerts, which amplifies the problem even further, because not only don’t you get a holistic view, but also the noise level that comes from those thousands of alerts causes a lot of valuable time to get wasted on chasing down some irrelevant issues.”
What Cycode wants to do then is to break down these silos and integrate the relevant data from across a company’s CI/CD infrastructure, starting with the source code itself, which ideally allows the company to anticipate issues early on in the software life cycle. To do so, Cycode can pull in data from services like GitHub, GitLab, Bitbucket and Jenkins (among others) and scan it for security issues. Later this year, the company plans to integrate data from third-party security tools like Snyk and Checkmarx as well.
“The problem of protecting CI/CD tools like GitHub, Jenkins and AWS is a gap for virtually every enterprise,” said Jon Rosenbaum, principal at Insight Partners, who will join Cycode’s board of directors. “Cycode secures CI/CD pipelines in an elegant, developer-centric manner. This positions the company to be a leader within the new breed of application security companies — those that are rapidly expanding the market with solutions which secure every release without sacrificing velocity.”
The company plans to use the new funding to accelerate its R&D efforts, and expand its sales and marketing teams. Levy and Slavin expect that the company will grow to about 65 employees this year, spread between the development team in Israel and its sales and marketing operations in the U.S.
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Arm launches its latest chip design for HPC, data centers and the edge
Arm today announced the launch of two new platforms, Arm Neoverse V1 and Neoverse N2, as well as a new mesh interconnect for them. As you can tell from the name, V1 is a completely new product and maybe the best example yet of Arm’s ambitions in the data center, high-performance computing and machine learning space. N2 is Arm’s next-generation general compute platform that is meant to span use cases from hyperscale clouds to SmartNICs and running edge workloads. It’s also the first design based on the company’s new Armv9 architecture.
Not too long ago, high-performance computing was dominated by a small number of players, but the Arm ecosystem has scored its fair share of wins here recently, with supercomputers in South Korea, India and France betting on it. The promise of V1 is that it will vastly outperform the older N1 platform, with a 2x gain in floating-point performance, for example, and a 4x gain in machine learning performance.
Image Credits: Arm
“The V1 is about how much performance can we bring — and that was the goal,” Chris Bergey, SVP and GM of Arm’s Infrastructure Line of Business, told me. He also noted that the V1 is Arm’s widest architecture yet. He noted that while V1 wasn’t specifically built for the HPC market, it was definitely a target market. And while the current Neoverse V1 platform isn’t based on the new Armv9 architecture yet, the next generation will be.
N2, on the other hand, is all about getting the most performance per watt, Bergey stressed. “This is really about staying in that same performance-per-watt-type envelope that we have within N1 but bringing more performance,” he said. In Arm’s testing, NGINX saw a 1.3x performance increase versus the previous generation, for example.
Image Credits: Arm
In many ways, today’s release is also a chance for Arm to highlight its recent customer wins. AWS Graviton2 is obviously doing quite well, but Oracle is also betting on Ampere’s Arm-based Altra CPUs for its cloud infrastructure.
“We believe Arm is going to be everywhere — from edge to the cloud. We are seeing N1-based processors deliver consistent performance, scalability and security that customers want from Cloud infrastructure,” said Bev Crair, senior VP, Oracle Cloud Infrastructure Compute. “Partnering with Ampere Computing and leading ISVs, Oracle is making Arm server-side development a first-class, easy and cost-effective solution.”
Meanwhile, Alibaba Cloud and Tencent are both investing in Arm-based hardware for their cloud services as well, while Marvell will use the Neoverse V2 architecture for its OCTEON networking solutions.
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Google’s Anthos multicloud platform gets improved logging, Windows container support and more
Google today announced a sizable update to its Anthos multicloud platform that lets you build, deploy and manage containerized applications anywhere, including on Amazon’s AWS and (in preview) on Microsoft Azure.
Version 1.7 includes new features like improved metrics and logging for Anthos on AWS, a new Connect gateway to interact with any cluster right from Google Cloud and a preview of Google’s managed control plane for Anthos Service Mesh. Other new features include Windows container support for environments that use VMware’s vSphere platform and new tools for developers to make it easier for them to deploy their applications to any Anthos cluster.
Today’s update comes almost exactly two years after Google CEO Sundar Pichai originally announced Anthos at its Cloud Next event in 2019 (before that, Google called this project the “Google Cloud Services Platform,” which launched three years ago). Hybrid and multicloud, it’s fair to say, takes a key role in the Google Cloud roadmap — and maybe more so for Google than for any of its competitors. Recently, Google brought on industry veteran Jeff Reed to become the VP of Product Management in charge of Anthos.
Reed told me that he believes that there are a lot of factors right now that are putting Anthos in a good position. “The wind is at our back. We bet on Kubernetes, bet on containers — those were good decisions,” he said. Increasingly, customers are also now scaling out their use of Kubernetes and have to figure out how to best scale out their clusters and deploy them in different environments — and to do so, they need a consistent platform across these environments. He also noted that when it comes to bringing on new Anthos customers, it’s really those factors that determine whether a company will look into Anthos or not.
He acknowledged that there are other players in this market, but he argues that Google Cloud’s take on this is also quite different. “I think we’re pretty unique in the sense that we’re from the cloud, cloud-native is our core approach,” he said. “A lot of what we talk about in [Anthos] 1.7 is about how we leverage the power of the cloud and use what we call “an anchor in the cloud” to make your life much easier. We’re more like a cloud vendor there, but because we support on-prem, we see some of those other folks.” Those other folks being IBM/Red Hat’s OpenShift and VMware’s Tanzu, for example.
The addition of support for Windows containers in vSphere environments also points to the fact that a lot of Anthos customers are classical enterprises that are trying to modernize their infrastructure, yet still rely on a lot of legacy applications that they are now trying to bring to the cloud.
Looking ahead, one thing we’ll likely see is more integrations with a wider range of Google Cloud products into Anthos. And indeed, as Reed noted, inside of Google Cloud, more teams are now building their products on top of Anthos themselves. In turn, that then makes it easier to bring those services to an Anthos-managed environment anywhere. One of the first of these internal services that run on top of Anthos is Apigee. “Your Apigee deployment essentially has Anthos underneath the covers. So Apigee gets all the benefits of a container environment, scalability and all those pieces — and we’ve made it really simple for that whole environment to run kind of as a stack,” he said.
I guess we can expect to hear more about this in the near future — or at Google Cloud Next 2021.
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Why Adam Selipsky was the logical choice to run AWS
When AWS CEO Andy Jassy announced in an email to employees yesterday that Tableau CEO Adam Selipsky was returning to run AWS, it was probably not the choice most considered. But to the industry watchers we spoke to over the last couple of days, it was a move that made absolute sense once you thought about it.
Gartner analyst Ed Anderson says that the cultural fit was probably too good for Jassy to pass up. Selipsky spent 11 years helping build the division. It was someone he knew well and had worked side by side with for over a decade. He could slide into the new role and be trusted to continue building the lucrative division.
Anderson says that even though the size and scope of AWS has changed dramatically since Selipsky left in 2016 when the company closed the year on a $16 billion run rate, he says that the organization’s cultural dynamics haven’t changed all that much.
“Success in this role requires a deep understanding of the Amazon/AWS culture in addition to a vision for AWS’s future growth. Adam already knows the AWS culture from his previous time at AWS. Yes, AWS was a smaller business when he left, but the fundamental structure and strategy was in place and the culture hasn’t notably evolved since then,” Anderson told me.
Matt McIlwain, managing director at Madrona Venture Group, says the experience Selipsky had after he left AWS will prove invaluable when he returns.
“Adam transformed Tableau from a desktop, licensed software company to a cloud, subscription software company that thrived. As the leader of AWS, Adam is returning to a culture he helped grow as the sales and marketing leader that brought AWS to prominence and broke through from startup customers to become the leading enterprise solution for public cloud,” he said.
Holger Mueller, an analyst with Constellation Research, says that Selipsky’s business experience gave him the edge over other candidates. “His business acumen won out over [internal candidates] Matt Garmin and Peter DeSantis. Insight on how Salesforce works may be helpful and valued as well,” Mueller pointed out.
As for leaving Tableau and with it Salesforce, the company that purchased it for $15.7 billion in 2019, Brent Leary, founder and principal analyst at CRM Essentials, believes that it was only a matter of time before some of these acquired company CEOs left to do other things. In fact, he’s surprised it didn’t happen sooner.
“Given Salesforce’s growing stable of top notch CEOs accumulated by way of a slew of high-profile acquisitions, you really can’t expect them all to stay forever, and given Adam Selipsky’s tenure at AWS before becoming Tableau’s CEO, this move makes a whole lot of sense. Amazon brings back one of their own, and he is also a wildly successful CEO in his own right,” Leary said.
While the consensus is that Selipsky is a good choice, he is going to have awfully big shoes to fill. The fact is that division is continuing to grow like a large company currently on a run rate of over $50 billion. With a track record like that to follow, and Jassy still close at hand, Selipsky has to simply continue letting the unit do its thing while putting his own unique stamp on it.
Any kind of change is disconcerting though, and it will be up to him to put customers and employees at ease and plow ahead into the future. Same mission. New boss.
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Tableau CEO Adam Selipsky is returning to AWS to replace Andy Jassy as CEO
When Amazon announced last month that Jeff Bezos was moving into the executive chairman role, and AWS CEO Andy Jassy would be taking over the entire Amazon operation, speculation began about who would replace Jassy.
People considered a number of internal candidates viable, such as Peter DeSantis, vice president of global infrastructure at AWS and Matt Garman, who is vice president of sales and marketing. Not many would have chosen Tableau CEO Adam Selipsky, but sure enough he is returning home to run the division he left in 2016.
In an email to employees, Jassy wasted no time getting to the point that Selipsky was his choice, saying that the former employee helped launch the division when they hired him in 2005, then spent 11 years helping Jassy build the unit before taking the job at Tableau. Through that lens, the choice makes perfect sense.
“Adam brings strong judgment, customer obsession, team building, demand generation, and CEO experience to an already very strong AWS leadership team. And, having been in such a senior role at AWS for 11 years, he knows our culture and business well,” Jassy wrote in the email.
Jassy has run AWS since its earliest days, taking it from humble beginnings as a kind of internal experiment on running a storage web service to building a mega division currently on a $51 billion run rate. It is that juggernaut that will be Selipsky’s to run, but he seems well-suited for the job.
He is a seasoned executive, and while he’s been away from AWS since before it really began to grow into a huge operation, he should still understand the culture well enough to step smoothly into the role. At the same time, he’s leaving Tableau, a company he helped transform from a desktop software company into one firmly based in the cloud.
Salesforce bought Tableau in June 2019 for a cool $15.7 billion and Selipsky has remained at the helm since then, but perhaps the lure of running AWS was too great and he decided to take the leap to the new job.
When we wrote a story at the end of last year about Salesforce’s deep bench of executive talent, Selipsky was one of the CEOs we pointed at as a possible replacement should CEO and chairman Marc Benioff step down. But with it looking more like president and COO Bret Taylor would be the heir apparent, perhaps Selipsky was ready for a new challenge.
Selipsky will make his return to AWS on May 17th and spend a few weeks with Jassy in a transitional time before taking over the division to run on his own. As Jassy slides into the Amazon CEO role, it’s clear the two will continue to work closely together, just as they did for over a decade.
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Amazon will expand its Amazon Care on-demand healthcare offering US-wide this summer
Amazon is apparently pleased with how its Amazon Care pilot in Seattle has gone, since it announced this morning that it will be expanding the offering across the U.S. this summer, and opening it up to companies of all sizes, in addition to its own employees. The Amazon Care model combines on-demand and in-person care, and is meant as a solution from the search giant to address shortfalls in current offerings for employer-sponsored healthcare.
In a blog post announcing the expansion, Amazon touted the speed of access to care made possible for its employees and their families via the remote, chat and video-based features of Amazon Care. These are facilitated via a dedicated Amazon Care app, which provides direct, live chats via a nurse or doctor. Issues that then require in-person care are then handled via a house call, so a medical professional is actually sent to your home to take care of things like administering blood tests or doing a chest exam, and prescriptions are delivered to your door as well.
The expansion is being handled differently across both in-person and remote variants of care; remote services will be available starting this summer to Amazon’s own employees, as well as other companies that sign on as customers, starting this summer. The in-person side will be rolling out more slowly, starting with availability in Washington, D.C., Baltimore, and “other cities in the coming months” according to the company.
As of today, Amazon Care is expanding in its home state of Washington to begin serving other companies. The idea is that others will sign on to make Amazon Care part of an overall benefits package for employees. Amazon is touting as a major strength of the service the speed advantages of testing services, including results delivery, for things including COVID-19.
The Amazon Care model has a surprisingly Amazon twist, too — when using the in-person care option, the app will provide an updated ETA for when to expect your physician or medical technician, which is eerily similar to how its primary app treats package delivery.
While the Amazon Care pilot in Washington only launched a year-and-a-half ago, the company has had its collective mind set on upending the corporate healthcare industry for some time now. It announced a partnership with Berkshire Hathaway and JPMorgan back at the beginning of 2018 to form a joint venture specifically to address the gaps they saw in the private corporate healthcare provider market.
That deep pocketed all-star team ended up officially disbanding at the outset of this year, after having done a whole lot of not very much in the three years in between. One of the stated reasons that Amazon and its partners gave for unpartnering was that each had made a lot of progress on its own in addressing the problems it had faced anyway. While Berkshire Hathaway and JPMorgan’s work in that regard might be less obvious, Amazon was clearly referring to Amazon Care.
It’s not unusual for large tech companies with lots of cash on the balance sheet and a need to attract and retain top-flight talent to spin up their own healthcare benefits for their workforces. Apple and Google both have their own on-campus wellness centers staffed by medical professionals, for instance. But Amazon’s ambitions have clearly exceeded those of its peers, and it looks intent on making a business line out of the work it did to improve its own employee care services — a strategy that isn’t too dissimilar from what happened with AWS, by the way.
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Microsoft Azure expands its NoSQL portfolio with Managed Instances for Apache Cassandra
At its Ignite conference today, Microsoft announced the launch of Azure Managed Instance for Apache Cassandra, its latest NoSQL database offering and a competitor to Cassandra-centric companies like Datastax. Microsoft describes the new service as a “semi-managed offering that will help companies bring more of their Cassandra-based workloads into its cloud.”
“Customers can easily take on-prem Cassandra workloads and add limitless cloud scale while maintaining full compatibility with the latest version of Apache Cassandra,” Microsoft explains in its press materials. “Their deployments gain improved performance and availability, while benefiting from Azure’s security and compliance capabilities.”
Like its counterpart, Azure SQL Manages Instance, the idea here is to give users access to a scalable, cloud-based database service. To use Cassandra in Azure before, businesses had to either move to Cosmos DB, its highly scalable database service that supports the Cassandra, MongoDB, SQL and Gremlin APIs, or manage their own fleet of virtual machines or on-premises infrastructure.
Cassandra was originally developed at Facebook and then open-sourced in 2008. A year later, it joined the Apache Foundation and today it’s used widely across the industry, with companies like Apple and Netflix betting on it for some of their core services, for example. AWS launched a managed Cassandra-compatible service at its re:Invent conference in 2019 (it’s called Amazon Keyspaces today), Microsoft launched the Cassandra API for Cosmos DB in September 2018. With today’s announcement, though, the company can now offer a full range of Cassandra-based servicer for enterprises that want to move these workloads to its cloud.
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