Personal blog of Yzmir Ramirez

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!

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 which 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.

Early Stage is the premiere ‘how-to’ event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company-building: Fundraising, recruiting, sales, legal, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included in each for audience questions and discussion.

Picture yourself in the role of CIO at Roblox in 2017.

At that point, the gaming platform and publishing system that launched in 2005 was growing fast, but its underlying technology was aging, consisting of a single data center in Chicago and a bunch of third-party partners, including AWS, all running bare metal (nonvirtualized) servers. At a time when users have precious little patience for outages, your uptime was just two nines, or less than 99% (five nines is considered optimal).

Unbelievably, Roblox was popular in spite of this, but the company’s leadership knew it couldn’t continue with performance like that, especially as it was rapidly gaining in popularity. The company needed to call in the technology cavalry, which is essentially what it did when it hired Dan Williams in 2017.

Williams has a history of solving these kinds of intractable infrastructure issues, with a background that includes a gig at Facebook between 2007 and 2011, where he worked on the technology to help the young social network scale to millions of users. Later, he worked at Dropbox, where he helped build a new internal network, leading the company’s move away from AWS, a major undertaking involving moving more than 500 petabytes of data.

When Roblox approached him in mid-2017, he jumped at the chance to take on another major infrastructure challenge. While they are still in the midst of the transition to a new modern tech stack today, we sat down with Williams to learn how he put the company on the road to a cloud-native, microservices-focused system with its own network of worldwide edge data centers.

Scoping the problem

Early Stage SF is around the corner, on April 28 in San Francisco, and we are more than excited for this brand new event. The intimate gathering of founders, VCs, operators and tech industry experts is all about giving founders the tools they need to find success, no matter the challenge ahead of them.

Struggling to understand the legal aspects of running a company, like negotiating cap tables or hiring international talent? We’ve got breakout sessions for that. Wondering how to go about fundraising, from getting your first yes to identifying the right investors to planning the timeline for your fundraise sprint? We’ve got breakout sessions for that. Growth marketing? PR/Media? Building a tech stack? Recruiting?

We. Got. You.

Hoffman + Guo

Today, we’re very proud to announce one of our few Main Stage sessions that will be open to all attendees. Reid Hoffman and Sarah Guo will join us for a conversation around “How To Raise Your Series A.”

Reid Hoffman is a legendary entrepreneur and investor in Silicon Valley. He was an Executive VP and founding board member at PayPal before going on to co-found LinkedIn in 2003. He led the company to profitability as CEO before joining Greylock in 2009. He serves on the boards of Airbnb, Apollo Fusion, Aurora, Coda, Convoy, Entrepreneur First, Microsoft, Nauto and Xapo, among others. He’s also an accomplished author, with books like “Blitzscaling,” “The Startup of You” and “The Alliance.”

Sarah Guo has a wealth of experience in the tech world. She started her career in high school at a tech firm founded by her parents, called Casa Systems. She then joined Goldman Sachs, where she invested in growth-stage tech startups such as Zynga and Dropbox, and advised both pre-IPO companies (Workday) and publicly traded firms (Zynga, Netflix and Nvidia). She joined Greylock Partners in 2013 and led the firm’s investment in Cleo, Demisto, Sqreen and Utmost. She has a particular focus on B2B applications, as well as infrastructure, cybersecurity, collaboration tools, AI and healthcare.

The format for Hoffman and Guo’s Main Stage chat will be familiar to folks who have followed the investors. It will be an updated, in-person combination of Hoffman’s famously annotated LinkedIn Series B pitch deck that led to Greylock’s investment, and Sarah Guo’s in-depth breakdown of what she looks for in a pitch.

They’ll lay out a number of universally applicable lessons that folks seeking Series A funding can learn from, tackling each from their own unique perspectives. Hoffman has years of experience in consumer-focused companies, with a special expertise in network effects. Guo is one of the top minds when it comes to investment in enterprise software.

We’re absolutely thrilled about this conversation, and to be honest, the entire Early Stage agenda.

How it works

Here’s how it all works:

There will be about 50+ breakout sessions at the event, and attendees will have an opportunity to attend at least seven. The sessions will cover all the core topics confronting early-stage founders — up through Series A — as they build a company, from raising capital to building a team to growth. Each breakout session will be led by notables in the startup world.

Don’t worry about missing a breakout session, because transcripts from each will be available to show attendees. And most of the folks leading the breakout sessions have agreed to hang at the show for at least half the day and participate in CrunchMatch, TechCrunch’s app to connect founders and investors based on shared interests.

Here’s the fine print. Each of the 50+ breakout sessions is limited to around 100 attendees. We expect a lot more attendees, of course, so signups for each session are on a first-come, first-serve basis. Buy your ticket today and you can sign up for the breakouts that we’ve announced. Pass holders will also receive 24-hour advance notice before we announce the next batch. (And yes, you can “drop” a breakout session in favor of a new one, in the event there is a schedule conflict.)

Grab yourself a ticket and start registering for sessions right here. Interested sponsors can hit up the team here.

Google Cloud today announced Spinnaker for Google Cloud Platform, a new solution that makes it easier to install and run the Spinnaker continuous delivery (CD) service on Google’s cloud.

Spinnaker was created inside Netflix and is now jointly developed by Netflix and Google. Netflix open-sourced it back in 2015 and over the course of the last few years, it became the open-source CD platform of choice for many enterprises. Today, companies like Adobe, Box, Cisco, Daimler, Samsung and others use it to speed up their development process.

With Spinnaker for Google Cloud Platform, which runs on the Google Kubernetes Engine, Google is making the install process for the service as easy as a few clicks. Once up and running, the Spinnaker install includes all of the core tools, as well as Deck, the user interface for the service. Users pay for the resources used by the Google Kubernetes Engine, as well as Cloud Memorystore for Redis, Google Cloud Load Balancing and potentially other resources they use in the Google Cloud.

The company has pre-configured Spinnaker for testing and deploying code on Google Kubernetes Engine, Compute Engine and App Engine, though it also will work with any other public or on-prem cloud. It’s also integrated with Cloud Build, Google’s recently launched continuous integration service, and features support for automatic backups and integrated auditing and monitoring with Google’s Stackdriver.

“We want to make sure that the solution is great both for developers and DevOps or SRE teams,” says Matt Duftler, tech lead for Google’s Spinnaker effort, in today’s announcement. “Developers want to get moving fast with the minimum of overhead. Platform teams can allow them to do that safely by encoding their recommended practice into Spinnaker, using Spinnaker for GCP to get up and running quickly and start onboard development teams.”

Artificial intelligence applied to information security can engender images of a benevolent Skynet, sagely analyzing more data than imaginable and making decisions at lightspeed, saving organizations from devastating attacks. In such a world, humans are barely needed to run security programs, their jobs largely automated out of existence, relegating them to a role as the button-pusher on particularly critical changes proposed by the otherwise omnipotent AI.

Such a vision is still in the realm of science fiction. AI in information security is more like an eager, callow puppy attempting to learn new tricks – minus the disappointment written on their faces when they consistently fail. No one’s job is in danger of being replaced by security AI; if anything, a larger staff is required to ensure security AI stays firmly leashed.

Arguably, AI’s highest use case currently is to add futuristic sheen to traditional security tools, rebranding timeworn approaches as trailblazing sorcery that will revolutionize enterprise cybersecurity as we know it. The current hype cycle for AI appears to be the roaring, ferocious crest at the end of a decade that began with bubbly excitement around the promise of “big data” in information security.

But what lies beneath the marketing gloss and quixotic lust for an AI revolution in security? How did AL ascend to supplant the lustrous zest around machine learning (“ML”) that dominated headlines in recent years? Where is there true potential to enrich information security strategy for the better – and where is it simply an entrancing distraction from more useful goals? And, naturally, how will attackers plot to circumvent security AI to continue their nefarious schemes?

How did AI grow out of this stony rubbish?

The year AI debuted as the “It Girl” in information security was 2017. The year prior, MIT completed their study showing “human-in-the-loop” AI out-performed AI and humans individually in attack detection. Likewise, DARPA conducted the Cyber Grand Challenge, a battle testing AI systems’ offensive and defensive capabilities. Until this point, security AI was imprisoned in the contrived halls of academia and government. Yet, the history of two vendors exhibits how enthusiasm surrounding security AI was driven more by growth marketing than user needs.

Microsoft today announced a major expansion of its Azure IP Advantage program, which provides its Azure users with protection against patent trolls. This program now also provides customers who are building IoT solutions that connect to Azure with access to 10,000 patents to defend themselves against intellectual property lawsuits.

What’s maybe most interesting here, though, is that Microsoft is also donating 500 patents to startups in the LOT Network. This organization, which counts companies like Amazon, Facebook, Google, Microsoft, Netflix, SAP, Epic Games, Ford, GM, Lyft and Uber among its close to 400 members, is designed to protect companies against patent trolls by giving them access to a wide library of patents from its member companies and other sources.

“The LOT Network is really committed to helping address the proliferation of intellectual property lawsuits, especially ones that are brought by non-practicing entities, or so-called trolls,” Microsoft  CVP and Deputy General Counsel Erich Andersen told me. 

This new program goes well beyond basic protection from patent trolls, though. Qualified startups who join the LOT Network can acquire Microsoft patents as part of their free membership and as Andersen stressed, the startups will own them outright. The LOT network will be able to provide its startup members with up to three patents from this collection.

There’s one additional requirement here, though: To qualify for getting the patents, these startups also have to meet a $1,000 per month Azure spend. As Andersen told me, though, they don’t have to make any kind of forward pledge. The company will simply look at a startup’s last three monthly Azure bills.

“We want to help the LOT Network grow its network of startups,” Andersen said. “To provide an incentive, we are going to provide these patents to them.” He noted that startups are obviously interested in getting access to patents as a foundation of their companies, but also to raise capital and to defend themselves against trolls.

The patents we’re talking about here cover a wide range of technologies as well as geographies. Andersen noted that we’re talking about U.S. patents as well as European and Chinese patents, for example.

“The idea is that these startups come from a diverse set of industry sectors,” he said. “The hope we have is that when they approach LOT, they’ll find patents among those 500 that are going to be interesting to basically almost any company that might want a foundational set of patents for their business.”

As for the extended Azure IP Advantage program, it’s worth noting that every Azure customer who spends more than $1,000 per month over the past three months and hasn’t filed a patent infringement lawsuit against another Azure customer in the last two years can automatically pick one of the patents in the program’s portfolio to protect itself against frivolous patent lawsuits from trolls (and that’s a different library of patents from the one Microsoft is donating to the LOT Network as part of the startup program).

As Andersen noted, the team looked at how it could enhance the IP program by focusing on a number of specific areas. Microsoft is obviously investing a lot into IoT, so extending the program to this area makes sense. “What we’re basically saying is that if the customer is using IoT technology — regardless of whether it’s Microsoft technology or not — and it’s connected to Azure, then we’re going to provide this patent pick right to help customers defend themselves against patent suits,” Andersen said.

In addition, for those who do choose to use Microsoft IoT technology across the board, Microsoft will provide indemnification, too.

Patent trolls have lately started acquiring IoT patents, so chances are they are getting ready to make use of them and that we’ll see quite a bit of patent litigation in this space in the future. “The early signs we’re seeing indicate that this is something that customers are going to care about in the future,” said Andersen.

After a disappointing second quarter, Netflix is back in Wall Street’s good graces. The company just released its third-quarter earnings report, and as of 5:30pm East Coast time, the stock is up 12 percent in after-hours trading.

The most important number here is subscriber growth, and that’s where Netflix came in way ahead of expectations, with 6.96 million net additions, compared to the 5.07 million that analysts predicted. The service now has a total of 137 million members, and 130 million paying members.

The company also reported earnings of 89 cents per share on revenue of $4 billion — analysts had predicted EPS of 68 cents.

In addition to reporting on the latest financials, Netflix’s letter to shareholders also offers an update on its original content strategy. It distinguishes between two different types of Netflix Originals — the ones like “Orange Is the New Black,” where Netflix gets the first window for distribution, and others like “Stranger Things,” where it actually owns the content.

The company says:

Today, we employ hundreds of people in physical production, working on a wide variety of owned titles spread across scripted and unscripted series, kids, international content, standup, docs and feature films from all over the world. To support our efforts, we’ll need more production capacity; we recently announced the selection of ?Albuquerque, New Mexico? as the site of a new US production hub, where we anticipate bringing $1 billion dollars in production over the next 10 years and creating up to 1,000 production jobs per year. Our internal studio is already the single largest supplier of content to Netflix (on a cash basis).

Netflix also says romance has been big recently, thanks to its “Summer of Love” slate of original films, which have been watched by more than 80 million accounts. Apparently “To All The Boys I’ve Loved Before” did particularly well, becoming one of Netflix’s most-watched original films, “with strong repeat viewing.”

The service plans to release “Gravity” director Alfonso Cuarón’s new film “Roma” in December, which has already been getting rave reviews at film festivals. While Netflix’s original movies generally have a minimal presence in theaters, the company says “Roma” (like Paul Greengrass’ “22 July”) will be released on more than 100 screens worldwide — not a blockbuster rollout, but not a perfunctory release, either.

The company is forecasting the addition of 9.4 million new members in the fourth quarter.

Elastic, the provider of subscription-based data search software used by Dell, Netflix, The New York Times and others, has unveiled its IPO filing after confidentially submitting paperwork to the SEC in June. The company will be the latest in a line of enterprise SaaS businesses to hit the public markets in 2018.

Headquartered in Mountain View, Elastic plans to raise $100 million in its NYSE listing, though that’s likely a placeholder amount. The timing of the filing suggests the company will transition to the public markets this fall; we’ve reached out to the company for more details. 

Elastic will trade under the symbol ESTC.

The business is known for its core product, an open-source search tool called ElasticSearch. It also offers a range of analytics and visualization tools meant to help businesses organize large data sets, competing directly with companies like Splunk and even Amazon — a name it mentions 14 times in the filing.

“Amazon offers some of our open source features as part of its Amazon Web Services offering. As such, Amazon competes with us for potential customers, and while Amazon cannot provide our proprietary software, the pricing of Amazon’s offerings may limit our ability to adjust,” the company wrote in the filing, which also lists Endeca, FAST, Autonomy and several others as key competitors.

This is our first look at Elastic’s financials. The company brought in $159.9 million in revenue in the 12 months ended July 30, 2018, up roughly 100 percent from $88.1 million the year prior. Losses are growing at about the same rate. Elastic reported a net loss of $18.5 million in the second quarter of 2018. That’s an increase from $9.9 million in the same period in 2017.

Founded in 2012, the company has raised about $100 million in venture capital funding, garnering a $700 million valuation the last time it raised VC, which was all the way back in 2014. Its investors include Benchmark, NEA and Future Fund, which each retain a 17.8 percent, 10.2 percent and 8.2 percent pre-IPO stake, respectively.

A flurry of business software companies have opted to go public this year. Domo, a business analytics company based in Utah, went public in June raising $193 million in the process. On top of that, subscription biller Zuora had a positive debut in April in what was a “clear sign post on the road to SaaS maturation,” according to TechCrunch’s Ron Miller. DocuSign and Smartsheet are also recent examples of both high-profile and successful SaaS IPOs.

 “Food, housing, healthcare, transportation. Life essentials made better and more affordable.” These are the types of startups that partner Paul Buchheit said were demoing today at Y Combinator’s Winter 2016 Demo Day 2. Yesterday, we covered the first 60 startups from the batch, and picked our 7 favorites. Plus, check out our picks for the top 8 startups from these 59.… Read More