cloud computing
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The value of software revenue may have finally stopped rising
Startups are raising record sums around the world, thanks to several contributing factors. As The Exchange explored yesterday, historically low interest rates have helped venture capitalists raise more capital than ever, to pick an example.
Low rates have helped startups in another manner: As yields fell for certain assets, investors chased returns by betting on growth. And in recent years, the investing classes turned their attention to public software companies, bidding up the value of their revenue to record highs.
This raised the worth of startups in general terms, and private tech companies’ comps enjoyed a steady, upward climb in the value of their revenues. If the value of a dollar of SaaS revenue was worth $1 one year and $2 the next, the repricing was good for private companies even if we were tracking the metrics from the perspective of public companies.
The free ride could be ending.
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I’ve held back from covering the value of software (SaaS, largely) revenues for a few months after spending a bit too much time on it in preceding quarters — when VCs begin to point out that you could just swap out numbers quarter to quarter and write the same post, it’s time for a break. But the value of software revenues posted a simply incredible run, and I can’t say “no” to a chart.
The pace at which software revenues were repriced upwards in the last few years is simply astounding. Per the Bessemer Cloud Index, back in 2016, the median revenue multiple for public SaaS companies was around 5x. When 2018 began, median SaaS multiples had expanded to around 7x.
That’s a 40% climb in pricing, but it proved to be just a foretaste of the feast to come.
By the end of 2019, the median figure had appreciated to around the 9x mark. And today it has shot to just under 18x. That is why software companies have been able to raise so much money, earlier, and in larger chunks. Every dollar of recurring revenue they sold was worth $5 in market cap in mid-2016. At the end of 2019, that same dollar of revenue was worth $9. And today, for the median public software company, it’s valued at around $18.
There are nuances to the data, but we care less about exacting definitions than the directional change it describes: The median value of SaaS revenues more than tripled from 2016 to 2021. That’s an insane amount of growth.
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Ketch raises another $20M as demand grows for its privacy data control platform
Six months after securing a $23 million Series A round, Ketch, a startup providing online privacy regulation and data compliance, brought in an additional $20 million in A1 funding, this time led by Acrew Capital.
Returning with Acrew for the second round are CRV, super{set} (the startup studio founded by Ketch’s co-founders CEO Tom Chavez and CTO Vivek Vaidya), Ridge Ventures and Silicon Valley Bank. The new investment gives Ketch a total of $43 million raised since the company came out of stealth earlier this year.
In 2020, Ketch introduced its data control platform for programmatic privacy, governance and security. The platform automates data control and consent management so that consumers’ privacy preferences are honored and implemented.
Enterprises are looking for a way to meet consumer needs and accommodate their rights and consents. At the same time, companies want data to fuel their growth and gain the trust of consumers, Chavez told TechCrunch.
There is also a matter of security, with much effort going into ransomware and malware, but Chavez feels a big opportunity is to bring security to the data wherever it lies. Once the infrastructure is in place for data control it needs to be at the level of individual cells and rows, he said.
“If someone wants to be deleted, there is a challenge in finding your specific row of data,” he added. “That is an exercise in data control.”
Ketch’s customer base grew by more than 300% since its March Series A announcement, and the new funding will go toward expanding its sales and go-to-market teams, Chavez said.
Ketch app. Image Credits: Ketch
This year, the company launched Ketch OTC, a free-to-use privacy tool that streamlines all aspects of privacy so that enterprise compliance programs build trust and reduce friction. Customer growth through OTC increased five times in six months. More recently, Qonsent, which developing a consent user experience, is using Ketch’s APIs and infrastructure, Chavez said.
When looking for strategic partners, Chavez and Vaidya wanted to have people around the table who have a deep context on what they were doing and could provide advice as they built out their products. They found that in Acrew founding partner Theresia Gouw, whom Chavez referred to as “the OG of privacy and security.”
Gouw has been investing in security and privacy for over 20 years and says Ketch is flipping the data privacy and security model on its head by putting it in the hands of developers. When she saw more people working from home and more data breaches, she saw an opportunity to increase and double down on Acrew’s initial investment.
She explained that Ketch is differentiating itself from competitors by taking data privacy and security and tying it to the data itself to empower software developers. With the OTC tool, similar to putting locks and cameras on a home, developers can download the API and attach rules to all of a user’s data.
“The magic of Ketch is that you can take the security and governance rules and embed them with the software and the piece of data,” Gouw added.
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Confluent CEO Jay Kreps is coming to TC Sessions: SaaS for a fireside chat
As companies process ever-increasing amounts of data, moving it in real time is a huge challenge for organizations. Confluent is a streaming data platform built on top of the open source Apache Kafka project that’s been designed to process massive numbers of events. To discuss this, and more, Confluent CEO and co-founder Jay Kreps will be joining us at TC Sessions: SaaS on Oct 27th for a fireside chat.
Data is a big part of the story we are telling at the SaaS event, as it has such a critical role in every business. Kreps has said in the past the data streams are at the core of every business, from sales to orders to customer experiences. As he wrote in a company blog post announcing the company’s $250 million Series E in April 2020, Confluent is working to process all of this data in real time — and that was a big reason why investors were willing to pour so much money into the company.
“The reason is simple: though new data technologies come and go, event streaming is emerging as a major new category that is on a path to be as important and foundational in the architecture of a modern digital company as databases have been,” Kreps wrote at the time.
The company’s streaming data platform takes a multi-faceted approach to streaming and builds on the open source Kafka project. While anyone can download and use Kafka, as with many open source projects, companies may lack the resources or expertise to deal with the raw open source code. Many a startup have been built on open source to help simplify whatever the project does, and Confluent and Kafka are no different.
Kreps told us in 2017 that companies using Kafka as a core technology include Netflix, Uber, Cisco and Goldman Sachs. But those companies have the resources to manage complex software like this. Mere mortal companies can pay Confluent to access a managed cloud version or they can manage it themselves and install it in the cloud infrastructure provider of choice.
The project was actually born at LinkedIn in 2011 when their engineers were tasked with building a tool to process the enormous number of events flowing through the platform. The company eventually open sourced the technology it had created and Apache Kafka was born.
Confluent launched in 2014 and raised over $450 million along the way. In its last private round in April 2020, the company scored a $4.5 billion valuation on a $250 million investment. As of today, it has a market cap of over $17 billion.
In addition to our discussion with Kreps, the conference will also include Google’s Javier Soltero, Amplitude’s Olivia Rose, as well as investors Kobie Fuller and Casey Aylward, among others. We hope you’ll join us. It’s going to be a thought-provoking lineup.
Buy your pass now to save up to $100 when you book by October 1. We can’t wait to see you in October!
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Tyk raises $35M for its open source, open-ended approach to enterprise API management
APIs are the grease turning the gears and wheels for many organizations’ IT systems today, but as APIs grow in number and use, tracking how they work (or don’t work) together can become complex and potentially critical if something goes awry. Now, a startup that has built an innovative way to help with this is announcing some funding after getting traction with big enterprises adopting its approach.
Tyk, which has built a way for users to access and manage multiple internal enterprise APIs through a universal interface by way of GraphQL, has picked up $35 million, an investment that it will be using both for hiring and to continue enhancing and expanding the tools that it provides to users. Tyk has coined a term describing its approach to managing APIs and the data they produce — “universal data graph” — and today its tools are being used to manage APIs by some 10,000 businesses, including large enterprises like Starbucks, Societe Generale and Domino’s.
Scottish Equity Partners led the round, with participation also from MMC Ventures — its sole previous investor from a round in 2019 after boostrapping for its first five years. The startup is based out of London but works in a very distributed way — one of the co-founders is living in New Zealand currently — and it will be hiring and growing based on that principle, too. It has raised just over $40 million to date.
Tyk (pronounced like “tyke”, meaning small/lively child) got its start as an open source side project first for co-founder Martin Buhr, who is now the company’s CEO, while he was working elsewhere, as a “load testing thing,” in his words.
The shifts in IT toward service-oriented architectures, and building and using APIs to connect internal apps, led him to rethink the code and consider how it could be used to control APIs. Added to that was the fact that as far as Buhr could see, the API management platforms that were in the market at the time — some of the big names today include Kong, Apigee (now a part of Google), 3scale (now a part of RedHat and thus IBM), MuleSoft (now a part of Salesforce) — were not as flexible as his needs were. “So I built my own,” he said.
It was built as an open source tool, and some engineers at other companies started to use it. As it got more attention, some of the bigger companies interested in using it started to ask why he wasn’t charging for anything — a sure sign as any that there was probably a business to be built here, and more credibility to come if he charged for it.
“So we made the gateway open source, and the management part went into a licensing model,” he said. And Tyk was born as a startup co-founded with James Hirst, who is now the COO, who worked with Buhr at a digital agency some years before.
The key motivation behind building Tyk has stayed as its unique selling point for customers working in increasingly complex environments.
“What sparked interest in Tyk was that companies were unhappy with API management as it exists today,” Buhr noted, citing architectures using multiple clouds and multiple containers, creating more complexity that needed better management. “It was just the right time when containerization, Kubernetes and microservices were on the rise… The way we approach the multi-data and multi-vendor cloud model is super flexible and resilient to partitions, in a way that others have not been able to do.”
“You engage developers and deliver real value and it’s up to them to make the choice,” added Hirst. “We are responding to a clear shift in the market.”
One of the next frontiers that Tyk will tackle will be what happens within the management layer, specifically when there are potential conflicts with APIs.
“When a team using a microservice makes a breaking change, we want to bring that up and report that to the system,” Buhr said. “The plan is to flag the issue and test against it, and be able to say that a schema won’t work, and to identify why.”
Even before that is rolled out, though, Tyk’s customer list and its growth speak to a business on the cusp of a lot more.
“Martin and James have built a world-class team and the addition of this new capital will enable Tyk to accelerate the growth of its API management platform, particularly around the GraphQL focused Universal Data Graph product that launched earlier this year,” said Martin Brennan, a director at SEP, in a statement. “We are pleased to be supporting the team to achieve their global ambitions.”
Keith Davidson, a partner at SEP, is joining the Tyk board as a non-executive director with this round.
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Amagi tunes into $100M for cloud-based video content creation, monetization
Media technology company Amagi announced Friday $100 million to further develop its cloud-based SaaS technology for broadcast and connected televisions.
Accel, Avataar Ventures and Norwest Venture Partners joined existing investor Premji Invest in the funding round, which included buying out stakes held by Emerald Media and Mayfield Fund. Nadathur Holdings continues as an existing investor. The latest round gives Amagi total funding raised to date of $150 million, Baskar Subramanian, co-founder and CEO of Amagi, told TechCrunch.
Bangalore-based Amagi provides cloud broadcast and targeted advertising software so that customers can create content that can be created and monetized to be distributed via broadcast TV and streaming TV platforms like The Roku Channel, Samsung TV Plus and Pluto TV. The company already supports more than 2,000 channels on its platform across over 40 countries.
“Video is a complex technology to manage — there are large files and a lot of computing,” Subramanian said. “What Amagi does is enable a content owner with zero technology knowledge to simplify that complex workflow and scalable infrastructure. We want to make it easy to plug in and start targeting and monetizing advertising.”
As a result, Amagi customers see operational cost savings on average of up to 40% compared to traditional delivery models and their ad impressions grow between five and 10 times.
The new funding comes at a time when the company is experiencing rapid growth. For example, Amagi grew 30 times in the United States alone over the past few years, Subramanian said. Amagi commands an audience of over 2 billion people, and the U.S. is its largest market. The company also sees growth potential in both Latin America and Europe.
In addition, in the last year, revenue grew 136%, while new customer year over year growth was 44%, including NBCUniversal — Subramanian said the Tokyo Olympics were run on Amagi’s platform for NBC, USA Today and ABS-CBN.
As more of a shift happens with video content being developed for connected television experiences, which he said is a $50 billion market, the company plans to use the new funding for sales expansion, R&D to invest in the company’s product pipeline and potential M&A opportunities. The company has not made any acquisitions yet, Subramanian added.
In addition to the broadcast operations in New Delhi, Amagi also has an innovation center in Bangalore and offices in New York, Los Angeles and London.
“Consumer behavior and infrastructure needs have reached a critical mass and new companies are bringing in the next generation of media, and we are a large part of that growth,” Subramanian said. “Sports will come on quicker, while live news and events are going to be one of the biggest growth areas.”
Shekhar Kirani, partner at Accel, said Amagi is taking a unique approach to enterprise SaaS due to that $50 billion industry shift happening in video content, where he sees half of the spend moving to connected television platforms quickly.
Some of the legacy players like Viacom and NBCUniversal created their own streaming platforms, where Netflix and Amazon have also been leading, but not many SaaS companies are enabling the transition, he said.
When Kirani met Subramanian five years ago, Amagi was already well funded, but Kirani was excited about the platform and wanted to help the company scale. He believes the company has a long tailwind because it is saving people time and enabling new content providers to move faster to get their content distributed.
“Amagi is creating a new category and will grow fast,” Kirani added. “They are already growing and doubling each year with phenomenal SaaS metrics because they are helping content providers to connect to any audience.
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Fin names former Twilio exec Evan Cummack as CEO, raises $20M
Work insights platform Fin raised $20 million in Series A funding and brought in Evan Cummack, a former Twilio executive, as its new chief executive officer.
The San Francisco-based company captures employee workflow data from across applications and turns it into productivity insights to improve the way enterprise teams work and remain engaged.
Fin was founded in 2015 by Andrew Kortina, co-founder of Venmo, and Facebook’s former VP of product and Slow Ventures partner Sam Lessin. Initially, the company was doing voice assistant technology — think Alexa but powered by humans and machine learning — and then workplace analytics software in 2020. You can read more about Fin’s origins at the link below.
The new round was led by Coatue, with participation from First Round Capital, Accel and Kleiner Perkins. The original team was talented, but small, so the new funding will build out sales, marketing and engineering teams, Cummack said.
“At that point, the right thing was to raise money, so at the end of last year, the company raised a $20 million Series A, and it was also decided to find a leadership team that knows how to build an enterprise,” Cummack told TechCrunch. “The company had completely pivoted and removed ‘Analytics’ from our name because it was not encompassing what we do.”
Fin’s software measures productivity and provides insights on ways managers can optimize processes, coach their employees and see how teams are actually using technology to get their work done. At the same time, employees are able to manage their workflow and highlight areas where there may be bottlenecks. All combined, it leads to better operations and customer experiences, Cummack said.
Graphic showing how work is really done. Image Credits: Fin
Fin’s view is that as more automation occurs, the company is looking at a “renaissance of human work.” There will be more jobs and more types of jobs, but people will be able to do them more effectively and the work will be more fulfilling, he added.
Particularly with the use of technology, he notes that in the era before cloud computing, there was a small number of software vendors. Now with the average tech company using over 130 SaaS apps, it allows for a lot of entrepreneurs and adoption of best-in-breed apps so that a viable company can start with a handful of people and leverage those apps to gain big customers.
“It’s different for enterprise customers, though, to understand that investment and what they are spending their money on as they use tools to get their jobs done,” Cummack added. “There is massive pressure to improve the customer experience and move quickly. Now with many people working from home, Fin enables you to look at all 130 apps as if they are one and how they are being used.”
As a result, Fin’s customers are seeing metrics like 16% increase in team utilization and engagement, a 25% decrease in support ticket handle time and a 71% increase in policy compliance. Meanwhile, the company itself is doubling and tripling its customers and revenue each year.
Now with leadership and people in place, Cummack said the company is positioned to scale, though it already had a huge head start in terms of a meaningful business.
Arielle Zuckerberg, partner at Coatue, said via email that she was part of a previous firm that invested in Fin’s seed round to build a virtual assistant. She was also a customer of Fin Assistant until it was discontinued.
When she heard the company was pivoting to enterprise, she “was excited because I thought it was a natural outgrowth of the previous business, had a lot of potential and I was already familiar with management and thought highly of them.”
She believed the “brains” of the company always revolved around understanding and measuring what assistants were doing to complete a task as a way to create opportunities for improvement or automation. The pivot to agent-facing tools made sense to Zuckerberg, but it wasn’t until the global pandemic that it clicked.
“Service teams were forced to go remote overnight, and companies had little to no visibility into what people were doing working from home,” she added. “In this remote environment, we thought that Fin’s product was incredibly well-suited to address the challenges of managing a growing remote support team, and that over time, their unique data set of how people use various apps and tools to complete tasks can help business leaders improve the future of work for their team members. We believe that contact center agents going remote was inevitable even before COVID, but COVID was a huge accelerant and created a compelling ‘why now’ moment for Fin’s solution.”
Going forward, Coatue sees Fin as “a process mining company that is focused on service teams.” By initially focusing on customer support and contact center use case — a business large enough to support a scaled, standalone business — rather than joining competitors in going after Fortune 500 companies where implementation cycles are long and there is slow time-to-value, Zuckerberg said Fin is better able to “address the unique challenges of managing a growing remote support team with a near-immediate time-to-value.”
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Real-time database platform SingleStore raises $80M more, now at a $940M valuation
Organizations are swimming in data these days, and so solutions to help manage and use that data in more efficient ways will continue to see a lot of attention and business. In the latest development, SingleStore — which provides a platform to enterprises to help them integrate, monitor and query their data as a single entity, regardless of whether that data is stored in multiple repositories — is announcing another $80 million in funding, money that it will be using to continue investing in its platform, hiring more talent and overall business expansion. Sources close to the company tell us that the company’s valuation has grown to $940 million.
The round, a Series F, is being led by Insight Partners, with new investor Hewlett Packard Enterprise, and previous backers Khosla Ventures, Dell Technologies Capital, Rev IV, Glynn Capital and GV (formerly Google Ventures) also participating. The startup has to date raised $264 million, including most recently an $80 million Series E last December, just on the heels of rebranding from MemSQL.
The fact that there are three major strategic investors in this Series F — HPE, Dell and Google — may say something about the traction that SingleStore is seeing, but so too do its numbers: 300%+ increase in new customer acquisition for its cloud service and 150%+ year-over-year growth in cloud.
Raj Verma, SingleStore’s CEO, said in an interview that its cloud revenues have grown by 150% year over year and now account for some 40% of all revenues (up from 10% a year ago). New customer numbers, meanwhile, have grown by over 300%.
“The flywheel is now turning around,” Verma said. “We didn’t need this money. We’ve barely touched our Series E. But I think there has been a general sentiment among our board and management that we are now ready for the prime time. We think SingleStore is one of the best-kept secrets in the database market. Now we want to aggressively be an option for people looking for a platform for intensive data applications or if they want to consolidate databases to one from three, five or seven repositories. We are where the world is going: real-time insights.”
With database management and the need for more efficient and cost-effective tools to manage that becoming an ever-growing priority — one that definitely got a fillip in the last 18 months with COVID-19 pushing people into more remote working environments. That means SingleStore is not without competitors, with others in the same space, including Amazon, Microsoft, Snowflake, PostgreSQL, MySQL, Redis and more. Others like Firebolt are tackling the challenges of handing large, disparate data repositories from another angle. (Some of these, I should point out, are also partners: SingleStore works with data stored on AWS, Microsoft Azure, Google Cloud Platform and Red Hat, and Verma describes those who do compute work as “not database companies; they are using their database capabilities for consumption for cloud compute.”)
But the company has carved a place for itself with enterprises and has thousands now on its books, including GE, IEX Cloud, Go Guardian, Palo Alto Networks, EOG Resources and SiriusXM + Pandora.
“SingleStore’s first-of-a-kind cloud database is unmatched in speed, scale, and simplicity by anything in the market,” said Lonne Jaffe, managing director at Insight Partners, in a statement. “SingleStore’s differentiated technology allows customers to unify real-time transactions and analytics in a single database.” Vinod Khosla from Khosla Ventures added that “SingleStore is able to reduce data sprawl, run anywhere, and run faster with a single database, replacing legacy databases with the modern cloud.”
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Mobius Labs nabs $6M to help more sectors tap into computer vision
Berlin-based Mobius Labs has closed a €5.2 million (~$6.1M) funding round off the back of increased demand for its computer vision training platform. The Series A investment is led by Ventech VC, along with Atlantic Labs, APEX Ventures, Space Capital, Lunar Ventures plus some additional angel investors.
The startup offers an SDK that lets the user create custom computer vision models fed with a little of their own training data — as an alternative to off-the-shelf tools which may not have the required specificity for a particular use-case.
It also flags a ‘no code’ focus, saying its tech has been designed with a non-technical user in mind.
As it’s an SDK, Mobius Labs’ platform can also be deployed on premise and/or on device — rather than the customer needing to connect to a cloud service to tap into the AI tool’s utility.
“Our custom training user interface is very simple to work with, and requires no prior technical knowledge on any level,” claims Appu Shaji, CEO and chief scientist.
“Over the years, a trend we have observed is that often the people who get the maximum value from AI are non technical personas like a content manager in a press and creative agency, or an application manager in the space sector. Our no-code AI allows anyone to build their own applications, thus enabling these users to get close to their vision without having to wait for AI experts or developer teams to help them.”
Mobius Labs — which was founded back in 2018 — now has 30 customers using its tools for a range of use cases.
Uses include categorisation, recommendation, prediction, reducing operational expense, and/or “generally connecting users and audiences to visual content that is most relevant to their needs”. (Press and broadcasting and the stock photography sector have unsurprisingly been big focuses to date.)
But it reckons there’s wider utility for its tech and is gearing up for growth.
It caters to businesses of various sizes, from startups to SMEs, but says it mainly targets global enterprises with major content challenges — hence its historical focus on the media sector and video use cases.
Now, though, it’s also targeting geospatial and earth observation applications as it seeks to expand its customer base.
The 30-strong startup has more than doubled in size over the last 18 months. With the new funding it’s planning to double its headcount again over the next 12 months as it looks to expand its geographical footprint — focusing on Europe and the US.
Year-on-year growth has also been 2x but it believes it can dial that up by tapping into other sectors.
“We are working with industries that are rich in visual data,” says Shaji. “The geospatial sector is something that we are focussing on currently as we have a strong belief that vast amounts of visual data is being produced by them. However, these huge archives of raw pixel data are useless on their own.
“For instance, if we want to track how river fronts are expanding, we have to look at data collected by satellites, sort and tag them in order to analyse them. Currently this is being done manually. The technology we are creating comes in a lightweight SDK, and can be deployed directly into these satellites so that the raw data can be detected and then analysed by machine learning algorithms. We are currently working with satellite companies in this sector.”
On the competitive front, Shaji names Clarifai and Google Cloud Vision as the main rivals it has in its sights.
“We realise these are the big players but at the same time believe that we have something unique to offer, which these players cannot: Unlike their solutions, our platform users can be outside the field of computer vision. By democratising the training of machine learning models beyond simply the technical crowd, we are making computer vision accessible and understandable by anyone, regardless of their job titles,” he argues.
“Another core value that differentiates us is the way we treat client data. Our solutions are delivered in the form of a Software Development Kit (SDK), which runs on-premise, completely locally on clients’ systems. No data is ever sent back to us. Our role is to empower people to build applications, and make them their own.”
Computer vision startups have been a hot acquisition target in recent years and some earlier startups offering ‘computer vision as a service’ got acquired by IT services firms to beef up their existing offerings, while tech giants like Amazon and (the aforementioned) Google offer their own computer vision services too.
But Shaji suggests the tech is now at a different stage of development — and primed for “mass adoption”.
“We’re talking about providing solutions that empower clients to build their own applications,” he says, summing up the competitive play. “And that [do that] with complete data privacy, where our solutions run on-premise, and we don’t see our clients data. Coupled with that is the ease of use that our technology offers: It is a lightweight solution that can be deployed on many ‘edge’ devices like smartphones, laptops, and even on satellites.”
Commenting on the funding in a statement, Stephan Wirries, partner at Ventech VC, added: “Appu and the team at Mobius Labs have developed an unparalleled offering in the computer vision space. Superhuman Vision is impressively innovative with its high degree of accuracy despite very limited required training to recognise new objects at excellent computational efficiency. We believe industries will be transformed through AI, and Mobius Labs is the European Deep Tech innovator teaching machines to see.”
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Box, Zoom chief product officers discuss how the changing workplace drove their latest collaboration
If the past 18 months is any indication, the nature of the workplace is changing. And while Box and Zoom already have integrations together, it makes sense for them to continue to work more closely.
Their newest collaboration is the Box app for Zoom, a new type of in-product integration that allows users to bring apps into a Zoom meeting to provide the full Box experience.
While in Zoom, users can securely and directly access Box to browse, preview and share files from Zoom — even if they are not taking part in an active meeting. This new feature follows a Zoom integration Box launched last year with its “Recommended Apps” section that enables access to Zoom from Box so that workflows aren’t disrupted.
The companies’ chief product officers, Diego Dugatkin with Box and Oded Gal with Zoom, discussed with TechCrunch why seamless partnerships like these are a solution for the changing workplace.
With digitization happening everywhere, an integration of “best-in-breed” products for collaboration is essential, Dugatkin said. Not only that, people don’t want to be moving from app to app, instead wanting to stay in one environment.
“It’s access to content while never having to leave the Zoom platform,” he added.
It’s also access to content and contacts in different situations. When everyone was in an office, meeting at a moment’s notice internally was not a challenge. Now, more people are understanding the value of flexibility, and both Gal and Dugatkin expect that spending some time at home and some time in the office will not change anytime soon.
As a result, across the spectrum of a company, there is an increasing need for allowing and even empowering people to work from anywhere, Dugatkin said. That then leads to a conversation about sharing documents in a secure way for companies, which this collaboration enables.
The new Box and Zoom integration enables meeting in a hybrid workplace: chat, video, audio, computers or mobile devices, and also being able to access content from all of those methods, Gal said.
“Companies need to be dynamic as people make the decision of how they want to work,” he added. “The digital world is providing that flexibility.”
This long-term partnership is just scratching the surface of the continuous improvement the companies have planned, Dugatkin said.
Dugatkin and Gal expect to continue offering seamless integration before, during and after meetings: utilizing Box’s cloud storage, while also offering the ability for offline communication between people so that they can keep the workflow going.
“As Diego said about digitization, we are seeing continuous collaboration enhanced with the communication aspect of meetings day in and day out,” Gal added. “Being able to connect between asynchronous and synchronous with Zoom is addressing the future of work and how it is shaping where we go in the future.”
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How Amazon EC2 grew from a notion into a foundational element of cloud computing
Fifteen years ago this week on August 25, 2006, AWS turned on the very first beta instance of EC2, its cloud-based virtual computers. Today cloud computing, and more specifically infrastructure as a service, is a staple of how businesses use computing, but at that moment it wasn’t a well known or widely understood concept.
The EC in EC2 stands for Elastic Compute, and that name was chosen deliberately. The idea was to provide as much compute power as you needed to do a job, then shut it down when you no longer needed it — making it flexible like an elastic band. The launch of EC2 in beta was preceded by the beta release of S3 storage six months earlier, and both services marked the starting point in AWS’ cloud infrastructure journey.
You really can’t overstate what Amazon was able to accomplish with these moves. It was able to anticipate an entirely different way of computing and create a market and a substantial side business in the process. It took vision to recognize what was coming and the courage to forge ahead and invest the resources necessary to make it happen, something that every business could learn from.
The AWS origin story is complex, but it was about bringing the IT power of the Amazon business to others. Amazon at the time was not the business it is today, but it was still rather substantial and still had to deal with massive fluctuations in traffic such as Black Friday when its website would be flooded with traffic for a short but sustained period of time. While the goal of an e-commerce site, and indeed every business, is attracting as many customers as possible, keeping the site up under such stress takes some doing and Amazon was learning how to do that well.
Those lessons and a desire to bring the company’s internal development processes under control would eventually lead to what we know today as Amazon Web Services, and that side business would help fuel a whole generation of startups. We spoke to Dave Brown, who is VP of EC2 today, and who helped build the first versions of the tech, to find out how this technological shift went down.
Sometimes you get a great notion
The genesis of the idea behind AWS started in the 2000 timeframe when the company began looking at creating a set of services to simplify how they produced software internally. Eventually, they developed a set of foundational services — compute, storage and database — that every developer could tap into.
But the idea of selling that set of services really began to take shape at an executive offsite at Jeff Bezos’ house in 2003. A 2016 TechCrunch article on the origins AWS described how that started to come together:
As the team worked, Jassy recalled, they realized they had also become quite good at running infrastructure services like compute, storage and database (due to those previously articulated internal requirements). What’s more, they had become highly skilled at running reliable, scalable, cost-effective data centers out of need. As a low-margin business like Amazon, they had to be as lean and efficient as possible.
They realized that those skills and abilities could translate into a side business that would eventually become AWS. It would take a while to put these initial ideas into action, but by December 2004, they had opened an engineering office in South Africa to begin building what would become EC2. As Brown explains it, the company was looking to expand outside of Seattle at the time, and Chris Pinkham, who was director in those days, hailed from South Africa and wanted to return home.
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