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Elastic acquires build.security for security policy definition and enforcement

Less than a year after raising its $6 million seed funding round, Tel Aviv and Sunnyvale-based startup build.security is being acquired by Elastic. Financial terms of the deal are not being publicly disclosed at this time. The deal is expected to close in Elastic’s Q2 FY22, ending October 31, 2021.

In an email to TechCrunch, Ash Kulkarni, chief product officer at Elastic, said that once the acquisition closes, the build.security technical team will continue as a unit in the Elastic Security organization. Kulkarni added that the acquisition will also become the foundation for a growing Elastic presence in Israel, with Amit Kanfer, co-founder and CEO of build.security, set to become the site lead for the region.

Build.security is focused on security policy management for applications. A core element of the company’s technology approach is the Open Policy Agent (OPA) open-source project, which is part of the Cloud Native Computing Foundation (CNCF), which is also home to Kubernetes. OPA was originally started by startup Styra, which itself has raised $40 million in funding to help build out policy management and authorization technology. Part of OPA is the Rego query language, which is used to structure security and authorization configuration policies.

“We see policy as a fundamental cornerstone of security,” Kulkarni said. “OPA and Rego provide an open, standards-based way to define, manage and enforce policies everywhere.”

Kulkarni noted that security policy technology is complementary to Elastic’s efforts in security and observability. He added that Elastic sees potential for using OPA and the technology that build.security has built on top of OPA to power deployment time, and in the future, build-time security for cloud-native environments. 

YL Venture partner John Brennan, who helped to lead the seed round of build.security, sees the acquisition as being a good fit for both companies, as they are both creating solutions for developers that are based on open-source technologies.

“This move by a market leader like Elastic validates the need for transformation in the authorization space,” Brennan said. “This partnership will accelerate build.security’s shift-left vision of efficiently embedding access protection from the start, rather than trying to bolt it on after the fact or, worse, ignoring it completely.”

Elastic is known for its Elastic Stack, which provides Elasticsearch search capability, Logstash log monitoring and Kibana data visualization. In recent years the company has expanded into the security space, acquiring Endgame Security in 2019 for $234 million. On August 3, Elastic announced its Limitless XDR capabilities, which brings together endpoint security with security information and event management (SIEM).

With its new acquisition, Kulkarni said the goal is to go even deeper into security moving toward cloud security enforcement. He explained that after the acquisition closes and as the technology is integrated, users will be able to leverage the Elastic Stack to visualize and manage compliance policies and policy decisions at scale. An initial use-case for the build.security technology will be developing a Kubernetes security and compliance product based on OPA.

 

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Meet the anti-antitrust startup club

When Congress called in tech CEOs to testify a few weeks ago, it felt like a defining moment. Hundreds of startups have become unicorns, with the largest worth more than $1 trillion (or perhaps $2 trillion). Indeed, modern tech companies have become so entrenched, Facebook is the only one of the Big Five American tech shops worth less than 13 figures.

The titanic valuations of many companies are predicated on current performance, cash on hand and lofty expectations for future growth. The pandemic has done little to stem Big Tech’s forward march and many startups have seen growth rates accelerate as other sectors rushed to support a suddenly remote workforce.

But inside tech’s current moment in the sun is a concern that Congress worked to highlight: Are these firms behaving anti-competitively?

By now you’ve heard the arguments concerning why Big Tech may be too big, but there’s a neat second story that we, the Equity crew, have been chatting about: Some startups are racing into the big kill zone.

They have to be a bit foolhardy to take on Google Gmail and Search, Amazon’s e-commerce platform or Apple’s App Store. Yet, there are startups targeting all of these categories and more, some flush with VC funding from investors who are eager to take a swing at tech’s biggest players

If the little companies manage to carve material market share for themselves, arguments that Big Tech was just too big to kill — let alone fail — will dissolve. But today, their incumbency is a reality and these startups are merely bold.

Still, when we look at the work being done, there are enough companies staring down the most valuable companies in American history (on an unadjusted basis) that we had to shout them out. Say hello to the “anti-antitrust club.”

Hey and Superhuman are coming after Gmail

Gmail has been the undisputed leader in consumer email for years (if not enterprise email, where Microsoft has massive inroads due to Exchange and Outlook). Startups have contested that market, including Mailbox, which sold to Dropbox for about $100 million back in 2013, but whenever a new feature came along that might entice users, Gmail managed to suck it up into its app.

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Amid shift to remote work, application performance monitoring is IT’s big moment

In recent weeks, millions have started working from home, putting unheard-of pressure on services like video conferencing, online learning, food delivery and e-commerce platforms. While some verticals have seen a marked reduction in traffic, others are being asked to scale to new heights.

Services that were previously nice to have are now necessities, but how do organizations track pressure points that can add up to a critical failure? There is actually a whole class of software to help in this regard.

Monitoring tools like Datadog, New Relic and Elastic are designed to help companies understand what’s happening inside their key systems and warn them when things may be going sideways. That’s absolutely essential as these services are being asked to handle unprecedented levels of activity.

At a time when performance is critical, application performance monitoring (APM) tools are helping companies stay up and running. They also help track root causes should the worst case happen and they go down, with the goal of getting going again as quickly as possible.

We spoke to a few monitoring vendor CEOs to understand better how they are helping customers navigate this demand and keep systems up and running when we need them most.

IT’s big moment

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Vizion.ai launches its managed Elasticsearch service

Setting up Elasticsearch, the open-source system that many companies large and small use to power their distributed search and analytics engines, isn’t the hardest thing. What is very hard, though, is to provision the right amount of resources to run the service, especially when your users’ demand comes in spikes, without overpaying for unused capacity. Vizion.ai’s new Elasticsearch Service does away with all of this by essentially offering Elasticsearch as a service and only charging its customers for the infrastructure they use.

Vizion.ai’s service automatically scales up and down as needed. It’s a managed service and delivered as a SaaS platform that can support deployments on both private and public clouds, with full API compatibility with the standard Elastic stack that typically includes tools like Kibana for visualizing data, Beats for sending data to the service and Logstash for transforming the incoming data and setting up data pipelines. Users can easily create several stacks for testing and development, too, for example.

Vizion.ai GM and VP Geoff Tudor

“When you go into the AWS Elasticsearch service, you’re going to be looking at dozens or hundreds of permutations for trying to build your own cluster,” Vision.ai’s VP and GM Geoff Tudor told me. “Which instance size? How many instances? Do I want geographical redundancy? What’s my networking? What’s my security? And if you choose wrong, then that’s going to impact the overall performance. […] We do balancing dynamically behind that infrastructure layer.” To do this, the service looks at the utilization patterns of a given user and then allocates resources to optimize for the specific use case.

What VVizion.ai hasdone here is take some of the work from its parent company Panzura, a multi-cloud storage service for enterprises that has plenty of patents around data caching, and applied it to this new Elasticsearch service.

There are obviously other companies that offer commercial Elasticsearch platforms already. Tudor acknowledges this, but argues that his company’s platform is different. With other products, he argues, you have to decide on the size of your block storage for your metadata upfront, for example, and you typically want SSDs for better performance, which can quickly get expensive. Thanks to Panzura’s IP, Vizion.ai is able to bring down the cost by caching recent data on SSDs and keeping the rest in cheaper object storage pools.

He also noted that the company is positioning the overall Vizion.ai service, with the Elasticsearch service as one of the earliest components, as a platform for running AI and ML workloads. Support for TensorFlow, PredictionIO (which plays nicely with Elasticsearch) and other tools is also in the works. “We want to make this an easy serverless ML/AI consumption in a multi-cloud fashion, where not only can you leverage the compute, but you can also have your storage of record at a very cost-effective price point.”

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Elastic acquires search startup Swiftype

Shay Banon Swiftype isn’t just a startup that we write about — we also use the technology to provide site search on TechCrunch itself. Now it’s being acquired by Elastic, the company behind the open source technology Elasticsearch. It turns out the two companies are already connected, because Swiftype uses Elasticsearch for indexing and storing its search content. In fact, Swiftype CTO… Read More

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How viral open-source startups can build themselves into enterprise-IT powerhouses

Striped Halftone Pattern Hordes of new enterprise-IT upstarts have popped up in Silicon Valley, with some drawing lofty valuations from investors. They’re driven by new, more-advanced technologies in areas such as databases, software development, networking and cloud computing. And many are taking aim at incumbents like Dell, EMC, Oracle and IBM. But will these new companies ever be as valuable as those big names? Read More

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Elastic brings order to its product line with Elastic Stack

Woman with reflection of search button in her glasses. For the last several years, Elastic has offered a range of analytics and visualization tools to go with its open source search engine. Today, it announced it was pulling those pieces together into an integrated stack. The new product known as Elastic Stack includes all of the company’s products: Elasticsearch, Kibana, Logstash and Beats. It’s available for download or as part of… Read More

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Elastic Joins Azure Marketplace As It Strengthens Relationship With Microsoft

Search box with word enterprise in it. Elastic announced today that it was deepening its relationship with Microsoft by adding its open source and commercial products to the Microsoft Azure Marketplace. Elastic (which used to be known as ElasticSearch) has been working with Microsoft for some time. It runs search on MSN.com, is embedded in Microsoft Dynamics CRM and also built into the Azure framework. With today’s… Read More

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