cloud infrastructure
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In a surprise move, Mirantis acquired Docker’s Enterprise platform business at the end of last year, and while Docker itself is refocusing on developers, Mirantis kept the Docker Enterprise name and product. Today, Mirantis is rolling out its first major update to Docker Enterprise with the release of version 3.1.
For the most part, these updates are in line with what’s been happening in the container ecosystem in recent months. There’s support for Kubernetes 1.17 and improved support for Kubernetes on Windows (something the Kubernetes community has worked on quite a bit in the last year or so). Also new is Nvidia GPU integration in Docker Enterprise through a pre-installed device plugin, as well as support for Istio Ingress for Kubernetes and a new command-line tool for deploying clusters with the Docker Engine.
In addition to the product updates, Mirantis is also launching three new support options for its customers that now give them the option to get 24×7 support for all support cases, for example, as well as enhanced SLAs for remote managed operations, designated customer success managers and proactive monitoring and alerting. With this, Mirantis is clearly building on its experience as a managed service provider.
What’s maybe more interesting, though, is how this acquisition is playing out at Mirantis itself. Mirantis, after all, went through its fair share of ups and downs in recent years, from high-flying OpenStack platform to layoffs and everything in between.
“Why we do this in the first place and why at some point I absolutely felt that I wanted to do this is because I felt that this would be a more compelling and interesting company to build, despite maybe some of the short-term challenges along the way, and that very much turned out to be true. It’s been fantastic,” Mirantis CEO and co-founder Adrian Ionel told me. “What we’ve seen since the acquisition, first of all, is that the customer base has been dramatically more loyal than people had thought, including ourselves.”
Ionel admitted that he thought some users would defect because this is obviously a major change, at least from the customer’s point of view. “Of course we have done everything possible to have something for them that’s really compelling and we put out the new roadmap right away in December after the acquisition — and people bought into it at very large scale,” he said. With that, Mirantis retained more than 90% of the customer base and the vast majority of all of Docker Enterprise’s largest users.
Ionel, who almost seemed a bit surprised by this, noted that this helped the company to turn in two “fantastic” quarters and was profitable in the last quarter, despite COVID-19.
“We wanted to go into this acquisition with a sober assessment of risks because we wanted to make it work, we wanted to make it successful because we were well aware that a lot of acquisitions fail,” he explained. “We didn’t want to go into it with a hyper-optimistic approach in any way — and we didn’t — and maybe that’s one of the reasons why we are positively surprised.”
He argues that the reason for the current success is that enterprises are doubling down on their container journeys and because they actually love the Docker Enterprise platform, like infrastructure independence, its developer focus, security features and ease of use. One thing many large customers asked for was better support for multi-cluster management at scale, which today’s update delivers.
“Where we stand today, we have one product development team. We have one product roadmap. We are shipping a very big new release of Docker Enterprise. […] The field has been completely unified and operates as one salesforce, with record results. So things have been extremely busy, but good and exciting.”
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Microsoft today announced the launch of the Microsoft Cloud for Healthcare, an industry-specific cloud solution for healthcare providers. This is the first in what is likely going to be a set of cloud offerings that target specific verticals and extends a trend we’ve seen among large cloud providers (especially Google) that tailor specific offerings to the needs of individual industries.
“More than ever, being connected is critical to create an individualized patient experience,” writes Tom McGuinness, corporate vice president, Worldwide Health at Microsoft, and Dr. Greg Moore, corporate vice president, Microsoft Health, in today’s announcement. “The Microsoft Cloud for Healthcare helps healthcare organizations to engage in more proactive ways with their patients, allows caregivers to improve the efficiency of their workflows and streamline interactions with Classified as Microsoft Confidential patients with more actionable results.”
Like similar Microsoft-branded offerings from the company, Cloud for Healthcare is about bringing together a set of capabilities that already exist inside of Microsoft. In this case, that includes Microsoft 365, Dynamics, Power Platform and Azure, including Azure IoT for monitoring patients. The solution sits on top of a common data model that makes it easier to share data between applications and analyze the data they gather.
“By providing the right information at the right time, the Microsoft Cloud for Healthcare will help hospitals and care providers better manage the needs of patients and staff and make resource deployments more efficient,” Microsoft says in its press materials. “This solution also improves end-to-end security compliance and accessibility of data, driving better operational outcomes.”
Since Microsoft never passes up a chance to talk up Teams, the company also notes that its communications service will allow healthcare workers to more efficiently communicate with each other, but it also notes that Teams now includes a Bookings app to help its users — including healthcare providers — schedule, manage and conduct virtual visits in Teams. Some of the healthcare systems that are already using Teams include St. Luke’s University Health Network, Stony Brook Medicine, Confluent Health and Calderdale & Huddersfield NHS Foundation Trust in the U.K.
In addition to Microsoft’s own tools, the company is also working with its large partner ecosystem to provide healthcare providers with specialized services. These include the likes of Epic, Allscripts, GE Healthcare, Adaptive Biotechnologies and Nuance.
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At its Build developer conference, Microsoft today announced Azure Synapse Link, a new enterprise service that allows businesses to analyze their data faster and more efficiently, using an approach that’s generally called “hybrid transaction/analytical processing” (HTAP). That’s a mouthful; it essentially enables enterprises to use the same database system for analytical and transactional workloads on a single system. Traditionally, enterprises had to make some trade-offs between either building a single system for both that was often highly over-provisioned or maintain separate systems for transactional and analytics workloads.
Last year, at its Ignite conference, Microsoft announced Azure Synapse Analytics, an analytics service that combines analytics and data warehousing to create what the company calls “the next evolution of Azure SQL Data Warehouse.” Synapse Analytics brings together data from Microsoft’s services and those from its partners and makes it easier to analyze.
“One of the key things, as we work with our customers on their digital transformation journey, there is an aspect of being data-driven, of being insights-driven as a culture, and a key part of that really is that once you decide there is some amount of information or insights that you need, how quickly are you able to get to that? For us, time to insight and a secondary element, which is the cost it takes, the effort it takes to build these pipelines and maintain them with an end-to-end analytics solution, was a key metric we have been observing for multiple years from our largest enterprise customers,” said Rohan Kumar, Microsoft’s corporate VP for Azure Data.
Synapse Link takes the work Microsoft did on Synaps Analytics a step further by removing the barriers between Azure’s operational databases and Synapse Analytics, so enterprises can immediately get value from the data in those databases without going through a data warehouse first.
“What we are announcing with Synapse Link is the next major step in the same vision that we had around reducing the time to insight,” explained Kumar. “And in this particular case, a long-standing barrier that exists today between operational databases and analytics systems is these complex ETL (extract, transform, load) pipelines that need to be set up just so you can do basic operational reporting or where, in a very transactionally consistent way, you need to move data from your operational system to the analytics system, because you don’t want to impact the performance of the operational system in any way because that’s typically dealing with, depending on the system, millions of transactions per second.”
ETL pipelines, Kumar argued, are typically expensive and hard to build and maintain, yet enterprises are now building new apps — and maybe even line of business mobile apps — where any action that consumers take and that is registered in the operational database is immediately available for predictive analytics, for example.
From the user perspective, enabling this only takes a single click to link the two, while it removes the need for managing additional data pipelines or database resources. That, Kumar said, was always the main goal for Synapse Link. “With a single click, you should be able to enable real-time analytics on your operational data in ways that don’t have any impact on your operational systems, so you’re not using the compute part of your operational system to do the query, you actually have to transform the data into a columnar format, which is more adaptable for analytics, and that’s really what we achieved with Synapse Link.”
Because traditional HTAP systems on-premises typically share their compute resources with the operational database, those systems never quite took off, Kumar argued. In the cloud, with Synapse Link, though, that impact doesn’t exist because you’re dealing with two separate systems. Now, once a transaction gets committed to the operational database, the Synapse Link system transforms the data into a columnar format that is more optimized for the analytics system — and it does so in real time.
For now, Synapse Link is only available in conjunction with Microsoft’s Cosmos DB database. As Kumar told me, that’s because that’s where the company saw the highest demand for this kind of service, but you can expect the company to add support for available in Azure SQL, Azure Database for PostgreSQL and Azure Database for MySQL in the future.
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It seems that we are in the middle of a mini acquisition spree for Kubernetes startups, specifically those that can help with Kubernetes security. In the latest development, Venafi, a vendor of certificate and key management for machine-to-machine connections, is acquiring Jetstack, a U.K. startup that helps enterprises migrate and work within Kubernetes and cloud-based ecosystems, which has also been behind the development of cert-manager, a popular, open-source native Kubernetes certificate management controller.
Financial terms of the deal, which is expected to close in June of this year, have not been disclosed, but Jetstack has been working with Venafi to integrate its services and had a strategic investment from Venafi’s Machine Identity Protection Development Fund.
Venafi is part of the so-called “Silicon Slopes” cluster of startups in Utah. It has raised about $190 million from investors that include TCV, Silver Lake and Intel Capital and was last valued at $600 million. That was in 2018, when it raised $100 million, so now it’s likely Venafi is worth more, especially considering its customers include the top five U.S. health insurers, the top five U.S. airlines, the top four credit card issuers, three out of the top four accounting and consulting firms, four of the top five U.S., U.K., Australian and South African banks and four of the top five U.S. retailers.
For the time being, the two organizations will continue to operate separately, and cert-manager — which has hundreds of contributors and millions of downloads — will continue on as before, with a public release of version 1 expected in the June-July time frame.
The deal underscores not just how Kubernetes -based containers have quickly gained momentum and critical mass in the enterprise IT landscape, in particular around digital transformation, but specifically the need to provide better security services around that at speed and at scale. The deal comes just one day after VMware announced that it was acquiring Octarine, another Kubernetes security startup, to fold into Carbon Black (an acquisition it made last year).
“Nowadays, business success depends on how quickly you can respond to the market,” said Matt Barker, CEO and co-founder of Jetstack . “This reality led us to re-think how software is built and Kubernetes has given us the ideal platform to work from. However, putting speed before security is risky. By joining Venafi, Jetstack will give our customers a chance to build fast while acting securely.”
To be clear, Venafi had been offering Kubernetes integrations prior to this — and Venafi and Jetstack have worked together for two years. But acquiring Jetstack will give it direct, in-house expertise to speed up development and deployment of better tools to meet the challenges of a rapidly expanding landscape of machines and applications, all of which require unique certificates to connect securely.
“In the race to virtualize everything, businesses need faster application innovation and better security; both are mandatory,” said Jeff Hudson, CEO of Venafi, in a statement. “Most people see these requirements as opposing forces, but we don’t. We see a massive opportunity for innovation. This acquisition brings together two leaders who are already working together to accelerate the development process while simultaneously securing applications against attack, and there’s a lot more to do. Our mutual customers are urgently asking for more help to solve this problem because they know that speed wins, as long as you don’t crash.”
The crux of the issue is the sheer volume of machines that are being used in computing environments, thanks to the growth of Kubernetes clusters, cloud instances, microservices and more, with each machine requiring a unique identity to connect, communicate and execute securely, Venafi notes, with disruptions or misfires in the system leaving holes for security breaches.
Jetstack’s approach to information security came by way of its expertise in Kubernetes, developing cert-mananger specifically so that its developer customers could easily create and maintain certificates for their networks.
“At Jetstack we help customers realize the benefits of Kubernetes and cloud native infrastructure, and we see transformative results to businesses firsthand,” said Matt Bates, CTO and co-founder of Jetstack, in a statement. “We developed cert-manager to make it easy for developers to scale Kubernetes with consistent, secure, and declared-as-code machine identity protection. The project has been a huge hit with the community and has been adopted far beyond our expectations. Our team is thrilled to join Venafi so we can accelerate our plans to bring machine identity protection to the cloud native stack, grow the community and contribute to a wider range of projects across the ecosystem.” Both Bates and Barker will report to Venafi’s Hudson and join the bigger company’s executive team.
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Years from now, people will look back on the COVID-19 pandemic as a watershed moment for society and the global economy.
Wearing a mask might be as common as owning a phone; telework, telemedicine and online education will be more of a norm than a backup plan; and for the global economy, the cloud will have transformed the underlying infrastructure of businesses and entire industries.
COVID-19 is a turning point for the cloud and cloud company founders. For its computing power and as a delivery model of software, the cloud has been embraced as a solution to many challenges that businesses face during today’s economic downturn and recovery. Not only is the cloud industry more resilient than other industries, but the cloud model offers businesses a promising future in the age of social distancing and beyond.
We believe that once founders find shelter in the cloud, they’ll never go back.
Over the past decade, there’s been a massive market shift from on-premises to cloud, as 94% of enterprises use at least one cloud service today. 2020 was already a milestone year for the cloud industry, as aggregate SaaS and IaaS run-rate revenue each crossed $100 billion, and the BVP Nasdaq Emerging Cloud Index (^EMCLOUD) market cap crossed $1 trillion in early February. Yet in a matter of days, as the COVID-19 pandemic spread, fear tore through financial markets.
In early March, public markets experienced the steepest crash in history with volatility we haven’t seen since the Great Recession. The cloud index market cap dropped to ~$750 million and cloud multiples returned close to their historical averages of ~7x while the VIX volatility index spiked to the mid-80s. Both at global highs in February 2020, the ^EMCLOUD and the S&P 500 traded off by roughly 35% by mid-March. Over the next two months, though, the ^EMCLOUD recouped those losses, charging to a new all-time high on May 7.
The cloud index has continued its rise since then, and as of the close on May 11 has a market cap above $1.2 trillion and has returned to the lofty 12x forward run rate revenue multiples from 2019. Similar to Adobe in 2012, we expect many enterprises to transition over to the cloud model, and the index will continue to expand. As we predicted in this year’s State of the Cloud 2020, by 2025 we expect the cloud to penetrate 50% of enterprise software.
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VMware announced today that it intends to buy early-stage Kubernetes security startup Octarine and fold it into Carbon Black, a security company it bought last year for $2.1 billion. The company did not reveal the price of today’s acquisition.
According to a blog post announcing the deal, from Patrick Morley, general manager and senior vice president at VMware’s Security Business Unit, Octarine should fit in with what Carbon Black calls its “intrinsic security strategy” — that is, protecting content and applications wherever they live. In the case of Octarine, that is cloud native containers in Kubernetes environments.
“Acquiring Octarine enables us to advance intrinsic security for containers (and Kubernetes environments), by embedding the Octarine technology into the VMware Carbon Black Cloud, and via deep hooks and integrations with the VMware Tanzu platform,” Morley wrote in a blog post.
This also fits in with VMware’s Kubernetes strategy, having purchased Heptio, an early Kubernetes company started by Craig McLuckie and Joe Beda, two folks who helped develop Kubernetes while at Google before starting their own company,
We covered Octarine last year when it released a couple of open-source tools to help companies define the Kubernetes security parameters. As we quoted head of product Julien Sobrier at the time:
Kubernetes gives a lot of flexibility and a lot of power to developers. There are over 30 security settings, and understanding how they interact with each other, which settings make security worse, which make it better, and the impact of each selection is not something that’s easy to measure or explain.
As for the startup, it now gets folded into VMware’s security business. While the CEO tried to put a happy face on the acquisition in a blog post, it seems its days as an independent entity are over. “VMware’s commitment to cloud native computing and intrinsic security, which have been demonstrated by its product announcements and by recent acquisitions, makes it an ideal home for Octarine,” the company CEO Shemer Schwarz wrote in the post.
Octarine was founded in 2017 and has raised $9 million, according to PitchBook data.
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For a few years now, Microsoft has offered Azure Cache for Redis, a fully managed caching solution built on top of the open-source Redis project. Today, it is expanding this service by adding Redis Enterprise, Redis Lab’s commercial offering, to its platform. It’s doing so in partnership with Redis Labs and while Microsoft will offer some basic support for the service, Redis Labs will handle most of the software support itself.
Julia Liuson, Microsoft’s corporate VP of its developer tools division, told me that the company wants to be seen as a partner to open-source companies like Redis Labs, which was among the first companies to change its license to prevent cloud vendors from commercializing and repackaging their free code without contributing back to the community. Last year, Redis Labs partnered with Google Cloud to bring its own fully managed service to its platform and so maybe it’s no surprise that we are now seeing Microsoft make a similar move.
Liuson tells me that with this new tier for Azure Cache for Redis, users will get a single bill and native Azure management, as well as the option to deploy natively on SSD flash storage. The native Azure integration should also make it easier for developers on Azure to integrate Redis Enterprise into their applications.
It’s also worth noting that Microsoft will support Redis Labs’ own Redis modules, including RediSearch, a Redis-powered search engine, as well as RedisBloom and RedisTimeSeries, which provide support for new datatypes in Redis.
“For years, developers have utilized the speed and throughput of Redis to produce unbeatable responsiveness and scale in their applications,” says Liuson. “We’ve seen tremendous adoption of Azure Cache for Redis, our managed solution built on open source Redis, as Azure customers have leveraged Redis performance as a distributed cache, session store, and message broker. The incorporation of the Redis Labs Redis Enterprise technology extends the range of use cases in which developers can utilize Redis, while providing enhanced operational resiliency and security.”
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At its Think Digital conference, IBM and Red Hat today announced a number of new services that all center around 5G edge and AI. The fact that the company is focusing on these two areas doesn’t come as a surprise, given that both edge and AI are two of the fastest-growing businesses in enterprise computing. Virtually every telecom company is now looking at how to best capitalize on the upcoming 5G rollouts, and most forward-looking enterprises are trying to figure out how to best plan around this for their own needs.
As IBM’s recently minted president Jim Whitehurst told me ahead of today’s announcement, he believes that IBM (in combination with Red Hat) is able to offer enterprises a very differentiated service because, unlike the large hyper clouds, IBM isn’t interested in locking these companies into a homogeneous cloud.
“Where IBM is competitively differentiated, is around how we think about helping clients on a journey to what we call hybrid cloud,” said Whitehurst, who hasn’t done a lot of media interviews since he took the new role, which still includes managing Red Hat. “Honestly, everybody has hybrid clouds. I wish we had a more differentiated term. One of the things that’s different is how we’re talking about how you think about an application portfolio that, by necessity, you’re going to have in multiple ways. If you’re a large enterprise, you probably have a mainframe running a set of transactional workloads that probably are going to stay there for a long time because there’s not a great alternative. And there’s going to be a set of applications you’re going to want to run in a distributed environment that need to access that data — all the way out to you running a factory floor and you want to make sure that the paint sprayer doesn’t have any defects while it’s painting a door.”
BARCELONA, CATALONIA, SPAIN – 2019/02/25: The IBM logo is seen during MWC 2019. (Photo by Paco Freire/SOPA Images/LightRocket via Getty Images)
He argues that IBM, at its core, is all about helping enterprises think about how to best run their workloads software, hardware and services perspective. “Public clouds are phenomenal, but they are exposing a set of services in a homogeneous way to enterprises,” he noted, while he argues that IBM is trying to weave all of these different pieces together.
Later in our discussion, he argued that the large public clouds essentially force enterprises to fit their workloads to those clouds’ service. “The public clouds do extraordinary things and they’re great partners of ours, but their primary business is creating these homogeneous services, at massive volumes, and saying ‘if your workloads fit into this, we can run it better, faster, cheaper etc.’ And they have obviously expanded out. They’ve added services. They are not saying we can put a box on-premise, but you’re still fitting into their model.”
On the news side, IBM is launching new services to automate business planning, budgeting and forecasting, for example, as well as new AI-driven tools for building and running automation apps that can handle routine tasks either autonomously or with the help of a human counterpart. The company is also launching new tools for call-center automation.
The most important AI announcement is surely Watson AIOps, though, which is meant to help enterprises detect, diagnose and respond to IT anomalies in order to reduce the effects of incidents and outages for a company.
On the telco side, IBM is launching new tools like the Edge Application Manager, for example, to make it easier to enable AI, analytics and IoT workloads on the edge, powered by IBM’s open-source Open Horizon edge computing project. The company is also launching a new Telco Network Cloud manager built on top of Red Hat OpenShift and the ability to also leverage the Red Hat OpenStack Platform (which remains to be an important platform for telcos and represents a growing business for IBM/Red Hat). In addition, IBM is launching a new dedicated IBM Services team for edge computing and telco cloud to help these customers build out their 5G and edge-enabled solutions.
Telcos are also betting big on a lot of different open-source technologies that often form the core of their 5G and edge deployments. Red Hat was already a major player in this space, but the acquisition has only accelerated this, Whitehurst argued. “Since the acquisition […] telcos have a lot more confidence in IBM’s capabilities to serve them long term and be able to serve them in mission-critical context. But importantly, IBM also has the capability to actually make it real now.”
A lot of the new telco edge and hybrid cloud deployments, he also noted, are built on Red Hat technologies but built by IBM, and neither IBM nor Red Hat could have really brought these to fruition in the same way. Red Hat never had the size, breadth and skills to pull off some of these projects, Whitehurst argued.
Whitehurst also argued that part of the Red Hat DNA that he’s bringing to the table now is helping IBM to think more in terms of ecosystems. “The DNA that I think matters a lot that Red Hat brings to the table with IBM — and I think IBM is adopting and we’re running with it — is the importance of ecosystems,” he said. “All of Red Hat’s software is open source. And so really, what you’re bringing to the table is ecosystems.”
It’s maybe no surprise then that the telco initiatives are backed by partners like Cisco, Dell Technologies, Juniper, Intel, Nvidia, Samsung, Packet, Equinix, Hazelcast, Sysdig, Turbonomics, Portworx, Humio, Indra Minsait, EuroTech, Arrow, ADLINK, Acromove, Geniatech, SmartCone, CloudHedge, Altiostar, Metaswitch, F5 Networks and ADVA.
In many ways, Red Hat pioneered the open-source business model and Whitehurst argued that having Red Hat as part of the IBM family means it’s now easier for the company to make the decision to invest even more in open source. “As we accelerate into this hybrid cloud world, we’re going to do our best to leverage open-source technologies to make them real,” he added.
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AWS today launched Amazon AppFlow, a new integration service that makes it easier for developers to transfer data between AWS and SaaS applications like Google Analytics, Marketo, Salesforce, ServiceNow, Slack, Snowflake and Zendesk. Like similar services, including Microsoft Azure’s Power Automate, for example, developers can trigger these flows based on specific events, at pre-set times or on-demand.
Unlike some of its competitors, though, AWS is positioning this service more as a data transfer service than a way to automate workflows, and, while the data flow can be bi-directional, AWS’s announcement focuses mostly on moving data from SaaS applications to other AWS services for further analysis. For this, AppFlow also includes a number of tools for transforming the data as it moves through the service.
“Developers spend huge amounts of time writing custom integrations so they can pass data between SaaS applications and AWS services so that it can be analysed; these can be expensive and can often take months to complete,” said AWS principal advocate Martin Beeby in today’s announcement. “If data requirements change, then costly and complicated modifications have to be made to the integrations. Companies that don’t have the luxury of engineering resources might find themselves manually importing and exporting data from applications, which is time-consuming, risks data leakage, and has the potential to introduce human error.”
Every flow (which AWS defines as a call to a source application to transfer data to a destination) costs $0.001 per run, though, in typical AWS fashion, there’s also cost associated with data processing (starting at 0.02 per GB).
“Our customers tell us that they love having the ability to store, process, and analyze their data in AWS. They also use a variety of third-party SaaS applications, and they tell us that it can be difficult to manage the flow of data between AWS and these applications,” said Kurt Kufeld, vice president, AWS. “Amazon AppFlow provides an intuitive and easy way for customers to combine data from AWS and SaaS applications without moving it across the public internet. With Amazon AppFlow, our customers bring together and manage petabytes, even exabytes, of data spread across all of their applications — all without having to develop custom connectors or manage underlying API and network connectivity.”
At this point, the number of supported services remains comparatively low, with only 14 possible sources and four destinations (Amazon Redshift and S3, as well as Salesforce and Snowflake). Sometimes, depending on the source you select, the only possible destination is Amazon’s S3 storage service.
Over time, the number of integrations will surely increase, but for now, it feels like there’s still quite a bit more work to do for the AppFlow team to expand the list of supported services.
AWS has long left this market to competitors, even though it has tools like AWS Step Functions for building serverless workflows across AWS services and EventBridge for connections applications. Interestingly, EventBridge currently supports a far wider range of third-party sources, but as the name implies, its focus is more on triggering events in AWS than moving data between applications.
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A year ago, back in the days of in-person conferences, Google officially announced the launch of its Anthos multi-cloud application modernization platform at its Cloud Next conference. The promise of Anthos was always that it would allow enterprises to write their applications once, package them into containers and then manage their multi-cloud deployments across GCP, AWS, Azure and their on-prem data centers.
Until now, support for AWS and Azure was only available in preview, but today, the company is making support for AWS and on-premises generally available. Microsoft Azure support remains in preview, though.
“As an AWS customer now, or a GCP customer, or a multi-cloud customer, […] you can now run Anthos on those environments in a consistent way, so you don’t have to learn any proprietary APIs and be locked in,” Eyal Manor, the GM and VP of engineering in charge of Anthos, told me. “And for the first time, we enable the portability between different infrastructure environments as opposed to what has happened in the past where you were locked into a set of APIs.”
Manor stressed that Anthos was designed to be multi-cloud from day one. As for why AWS support is launching ahead of Azure, Manor said that there was simply more demand for it. “We surveyed the customers and they said, ‘hey, we want, in addition to GCP, we want AWS,’ ” he said. But support for Azure will come later this year and the company already has a number of preview customers for it. In addition, Anthos will also come to bare metal servers in the future.
Looking even further ahead, Manor also noted that better support for machine learning workloads is on the way. Many businesses, after all, want to be able to update and run their models right where their data resides, no matter what cloud that may be. There, too, the promise of Anthos is that developers can write the application once and then run it anywhere.
“I think a lot of the initial response and excitement was from the developer audiences,” Jennifer Lin, Google Cloud’s VP of product management, told me. “Eric Brewer had led a white paper that we did to say that a lot of the Anthos architecture sort of decouples the developer and the operator stakeholder concerns. There hadn’t been a multi-cloud shared software architecture where we could do that and still drive emerging and existing applications with a common shared software stack.”
She also noted that a lot of Google Cloud’s ecosystem partners endorsed the overall Anthos architecture early on because they, too, wanted to be able to write once and run anywhere — and so do their customers.
Plaid is one of the launch partners for these new capabilities. “Our customers rely on us to be always available and as a result we have very high reliability requirements,” said Naohiko Takemura, Plaid’s head of engineering. “We pursued a multi-cloud strategy to ensure redundancy for our critical KARTE service. Google Cloud’s Anthos works seamlessly across GCP and our other cloud providers preventing any business disruption. Thanks to Anthos, we prevent vendor lock-in, avoid managing cloud-specific infrastructure, and our developers are not constrained by cloud providers.”
With this release, Google Cloud is also bringing deeper support for virtual machines to Anthos, as well as improved policy and configuration management.
Over the next few months, the Anthos Service Mesh will also add support for applications that run in traditional virtual machines. As Lin told me, “a lot of this is is about driving better agility and taking the complexity out of it so that we have abstractions that work across any environment, whether it’s legacy or new or on-prem or AWS or GCP.”
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