Wall Street investors can be fickle beasts. Take Salesforce as an example. The CRM giant announced a $5.82 billion quarter when it reported earnings yesterday. Revenue was up 20% year over year. The company also reported $21.25 billion in total revenue for the just-closed FY2021, up 24% YoY. If that wasn’t enough, it raised its FY2022 guidance (its upcoming fiscal year) to over $25 billion. What’s not to like?

You want higher quarterly revenue, Salesforce gave you higher revenue. You want high growth and solid projected revenue — check and check. In fact, it’s hard to find anything to complain about in the report. The company is performing and growing at a rate that is remarkable for an organization of its size and maturity — and it is expected to continue to perform and grow.

How did Wall Street react to this stellar report? It punished the stock with the price down over 6%, a pretty dismal day considering the company brought home such a promising report card.

So what is going on here? It could be that investors simply don’t believe the growth is sustainable or that the company overpaid when it bought Slack at the end of last year for over $27 billion. It could be it’s just people overreacting to a cooling market this week. But if investors are looking for a high-growth company, Salesforce is delivering that.

While Slack was expensive, it reported revenue over $250 million yesterday, pushing it over the $1 billion run rate with more than 100 customers paying over $1 million in ARR. Those numbers will eventually get added to Salesforce’s bottom line.

Canaccord Genuity analyst David Hynes Jr. wrote that he was baffled by investors’ reaction to this report. Like me, he saw a lot of positives. Yet Wall Street decided to focus on the negative, and see “the glass half empty,” as he put it in his note to investors.

“The stock is clearly in the show-me camp, which means it’s likely to take another couple of quarters for investors to buy into the idea that fundamentals are actually quite solid here, and that Slack was opportunistic (and yes, pricey), but not an attempt to mask suddenly deteriorating growth,” Hynes wrote.

During the call with analysts yesterday, Brad Zelnick from Credit Suisse asked how well the company could accelerate out of the pandemic-induced economic malaise, and Gavin Patterson, Salesforce’s president and chief revenue officer, says the company is ready whenever the world moves past the pandemic.

“And let me reassure you, we are building the capability in terms of the sales force. You’d be delighted to hear that we’re investing significantly in terms of our direct sales force to take advantage of that demand. And I’m very confident we’ll be able to meet it. So I think you’re hearing today a message from us all that the business is strong, the pipeline is strong and we’ve got confidence going into the year,” Patterson said.

While Salesforce execs were clearly pumped up yesterday with good reason, there’s still doubt out in investor land that manifested itself in the stock starting down and staying down all day. It will be, as Hynes suggested, up to Salesforce to keep proving them wrong. As long as they keep producing quarters like the one they had this week, they should be just fine, regardless of what the naysayers on Wall Street may be thinking today.

It’s essential for older companies to recognize changes in the marketplace or face the brutal reality of being left in the dust. F5 is an old-school company that launched back in the 90s, yet has been able to transform a number of times in its history to avoid major disruption. Over the last two years, the company has continued that process of redefining itself, this time using a trio of acquisitions — NGINX, Shape Security and Volterra — totaling $2.2 billion to push in a new direction.

While F5 has been associated with applications management for some time, it recognized that the way companies developed and managed applications was changing in a big way with the shift to Kubernetes, microservices and containerization. At the same time, applications have been increasingly moving to the edge, closer to the user. The company understood that it needed to up its game in these areas if it was going to keep up with customers.

Taken separately, it would be easy to miss that there was a game plan behind the three acquisitions, but together they show a company with a clear opinion of where they want to go next. We spoke to F5 president and CEO François Locoh-Donou to learn why he bought these companies and to figure out the method in his company’s acquisition spree madness.

Looking back, looking forward

F5, which was founded in 1996, has found itself at a number of crossroads in its long history, times where it needed to reassess its position in the market. A few years ago it found itself at one such juncture. The company had successfully navigated the shift from physical appliance to virtual, and from data center to cloud. But it also saw the shift to cloud native on the horizon and it knew it had to be there to survive and thrive long term.

“We moved from just keeping applications performing to actually keeping them performing and secure. Over the years, we have become an application delivery and security company. And that’s really how F5 grew over the last 15 years,” said Locoh-Donou.

Today the company has over 18,000 customers centered in enterprise verticals like financial services, healthcare, government, technology and telecom. He says that the focus of the company has always been on applications and how to deliver and secure them, but as they looked ahead, they wanted to be able to do that in a modern context, and that’s where the acquisitions came into play.

As F5 saw it, applications were becoming central to their customers’ success and their IT departments were expending too many resources connecting applications to the cloud and keeping them secure. So part of the goal for these three acquisitions was to bring a level of automation to this whole process of managing modern applications.

“Our view is you fast forward five or 10 years, we are going to move to a world where applications will become adaptive, which essentially means that we are going to bring automation to the security and delivery and performance of applications, so that a lot of that stuff gets done in a more native and automated way,” Locoh-Donou said.

As part of this shift, the company saw customers increasingly using microservices architecture in their applications. This means instead of delivering a large monolithic application, developers were delivering them in smaller pieces inside containers, making it easier to manage, deploy and update.

At the same time, it saw companies needing a new way to secure these applications as they shifted from data center to cloud to the edge. And finally, that shift to the edge would require a new way to manage applications.

The concept of the “marketing cloud” — sold by the likes of Salesforce, Oracle and Adobe — has become a standard way for large tech companies to package together and sell marketing tools to businesses that want to improve how they use digital channels to grow their business.

Some argue, however, that “cloud”, singular, might be a misnomer: typically those tools are not integrated well with each other and effectively are run as separate pieces of software. Today a startup called Blueshift — which claims to offer an end-to-end marketing stack, by having built it from the ground up to include both traditional marketing data as well as customer experience — is announcing some funding, pointing to the opportunity to build more efficient alternatives.

The startup has closed a round of $30 million, a Series C that co-founder and CEO Vijay Chittoor said it will be using to expand to more markets (it’s most active in the U.S. and Europe currently) and also to expand its technology.

“The product already has a unified format, to ingest data from multiple sources and redistribute that out to apps. Now, we want to distribute that data to more last-mile applications,” he said in an interview. “Our biggest initiative is to scale out the notion of us being not just an app but a platform.”

The company’s customers include LendingTree, Discovery Inc., Udacity, BBC and Groupon, and it has seen revenue growth of 858% in the last three years, although it’s not disclosing actual revenues, nor valuation, today.

The round is being led by Fort Ross Ventures, with strong participation also from Avatar Growth Capital. Past investors Softbank Ventures Asia (which led its last round of $15 million), Storm Ventures, Conductive Ventures and Nexus Venture Partners also invested.

The concept for Blueshift came out of Chittoor’s direct experience at Groupon — which acquired his previous startup, social e-commerce company Mertado — and before that a long period at Walmart Labs — which Walmart rebranded after it acquired another startup where Chittoor was an early employee, semantic search company Kosmix.

“The challenges we are solving today we saw firsthand as challenges our customers saw at Groupon and Walmart,” he said. “The connected customer journey is creating a thousand times more data than before, and people and brands are engaging across more touchpoints. Tracking that has become harder with legacy channel-centric applications.”

Blueshift’s approach for solving that has been, he said, “to unify the data and to make decisions at customer level.”

That is to say, although the customer experience today is very fragmented — you might potentially encounter something about a company or brand in multiple places, such as in a physical environment, on various social media platforms, in your email, through a web search, in a vertical search portal, in a marketplace on a site, in an app, and so on — the experience for marketers should not be.

The company addresses this by way of a customer data platform (CDP) it markets as “SmartHub.” Designed for non-technical users although customizable by engineers if you need it to be, users can integrate different data feeds from multiple sources, which then Blueshift crunches and organises to let you view in a more structured way.

That data can then be used to power actions in a number of places where you might be setting up marketing campaigns. And Chittoor pointed out — like other marketing people have — that these days, the focus on that is largely first-party data to fuel that machine, rather than buying in data from third-party sources (which is definitely part of a bigger trend).

“Our mission is to back category-leading companies that are poised to dominate a market. Blueshift clearly stood out to us as the leader in the enterprise CDP space,” said Ratan Singh of Fort Ross Ventures in a statement. “We are thrilled to partner with the Blueshift team as they accelerate the adoption of their SmartHub CDP platform.” Singh is joining Blueshift’s board with this round.

Many companies spend a significant amount of money and resources processing data from logs, traces and metrics, forcing them to make trade-offs about how much to collect and store. Hydrolix, an early-stage startup, announced a $10 million seed round today to help tackle logging at scale, while using unique technology to lower the cost of storing and querying this data.

Wing Venture Capital led the round with help from AV8 Ventures, Oregon Venture Fund and Silicon Valley Data Capital.

Company CEO and co-founder Marty Kagan noted that in his previous roles, he saw organizations with tons of data in logs, metrics and traces that could be valuable to various parts of the company, but most organizations couldn’t afford the high cost to maintain these records for very long due to the incredible volume of data involved. He started Hydrolix because he wanted to change the economics to make it easier to store and query this valuable data.

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. So as the data set gets larger, you have no choice but to either spend a ton of money to grow your cluster or separate your hot and cold data to keep your costs under control,” Kagan told me.

What’s more, he says that when it comes to querying, the solutions out there like BigQuery and Snowflake are not well-suited for this kind of data. “They rely really heavily on caching and bulk column scans, so they’re not really useful for […] these infrastructure plays where you want to do livestream ingest, and you want to be able to do ad hoc data exploration,” he said.

Hydrolix wanted to create a more cost-effective way of storing and querying log data, while solving these issues with other tooling. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained. He says that this means that there is no caching or column scales, enabling them to do index searches. “You’re getting the low cost, unlimited retention benefits of cloud storage, but with the interactive performance of fully indexed search,” he added.

Peter Wagner, founding partner at investor Wing Venture Capital, says that the beauty of this tool is that it eliminates trade-offs, while lowering customers’ overall data processing costs. “The Hydrolix team has built a real-time data platform optimized not only to deliver superior performance at a fraction of the cost of current analytics solutions, but one architected to offer those same advantages as data volumes grow by orders of magnitude,” Wagner said in a statement.

It’s worth pointing out that in the past couple of weeks SentinelOne bought high-speed logging platform Scalyr for $155 million, then CrowdStrike grabbed Humio, another high-speed logging tool for $400 million, so this category is getting attention.

The product is currently compatible with AWS and offered through the Amazon Marketplace, but Kagan says they are working on versions for Azure and Google Cloud and expect to have those available later this year. The company was founded at the end of 2018 and currently has 20 employees spread out over six countries, with headquarters in Portland, Oregon.

Aquarium, a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Today the company announced a $2.6 million seed led by Sequoia with participation from Y Combinator and a bunch of angel investors, including Cruise co-founders Kyle Vogt and Dan Kan.

When the two co-founders, CEO Peter Gao and head of engineering Quinn Johnson, were at Cruise they learned that finding areas of weakness in the model data was often the problem that prevented it from getting into production. Aquarium aims to solve this issue.

“Aquarium is a machine learning data management system that helps people improve model performance by improving the data that it’s trained on, which is usually the most important part of making the model work in production,” Gao told me.

He says that they are seeing a lot of different models being built across a variety of industries, but teams are getting stuck because iterating on the data set and continually finding relevant data is a hard problem to solve. That’s why Aquarium’s founders decided to focus on this.

“It turns out that most of the improvement to your model, and most of the work that it takes to get it into production is about deciding, ‘Here’s what I need to go and collect next. Here’s what I need to go label. Here’s what I need to go and retrain my model on and analyze it for errors and repeat that iteration cycle,” Gao explained.

The idea is to get a model into production that outperforms humans. One customer, Sterblue, offers a good example. They provide drone inspection services for wind turbines. Their customers used to send out humans to inspect the turbines for damage, but with a set of drone data, they were able to train a machine learning model to find issues. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.

Aquarium currently has seven employees, including the founders, of which three are women. Gao says that they are being diverse by design. He understands the issues of bias inherent in machine learning model creation, and creating a diverse team for this kind of tooling is one way to help mitigate that bias.

The company launched last February and spent part of the year participating in the Y Combinator Summer 2020 cohort. They worked on refining the product throughout 2020, and recently opened it up from beta to generally available.