Fylamynt, a new service that helps businesses automate their cloud workflows, today announced both the official launch of its platform as well as a $6.5 million seed round. The funding round was led by Google’s AI-focused Gradient Ventures fund. Mango Capital and Point72 Ventures also participated.
At first glance, the idea behind Fylamynt may sound familiar. Workflow automation has become a pretty competitive space, after all, and the service helps developers connect their various cloud tools to create repeatable workflows. We’re not talking about your standard IFTTT- or Zapier -like integrations between SaaS products, though. The focus of Fylamynt is squarely on building infrastructure workflows. While that may sound familiar, too, with tools like Ansible and Terraform automating a lot of that already, Fylamynt sits on top of those and integrates with them.
“Some time ago, we used to do Bash and scripting — and then [ … ] came Chef and Puppet in 2006, 2007. SaltStack, as well. Then Terraform and Ansible,” Fylamynt co-founder and CEO Pradeep Padala told me. “They have all done an extremely good job of making it easier to simplify infrastructure operations so you don’t have to write low-level code. You can write a slightly higher-level language. We are not replacing that. What we are doing is connecting that code.”
So if you have a Terraform template, an Ansible playbook and maybe a Python script, you can now use Fylamynt to connect those. In the end, Fylamynt becomes the orchestration engine to run all of your infrastructure code — and then allows you to connect all of that to the likes of DataDog, Splunk, PagerDuty Slack and ServiceNow.
The service currently connects to Terraform, Ansible, Datadog, Jira, Slack, Instance, CloudWatch, CloudFormation and your Kubernetes clusters. The company notes that some of the standard use cases for its service are automated remediation, governance and compliance, as well as cost and performance management.
The company is already working with a number of design partners, including Snowflake.
Fylamynt CEO Padala has quite a bit of experience in the infrastructure space. He co-founded ContainerX, an early container-management platform, which later sold to Cisco. Before starting ContainerX, he was at VMWare and DOCOMO Labs. His co-founders, VP of Engineering Xiaoyun Zhu and CTO David Lee, also have deep expertise in building out cloud infrastructure and operating it.
“If you look at any company — any company building a product — let’s say a SaaS product, and they want to run their operations, infrastructure operations very efficiently,” Padala said. “But there are always challenges. You need a lot of people, it takes time. So what is the bottleneck? If you ask that question and dig deeper, you’ll find that there is one bottleneck for automation: that’s code. Someone has to write code to automate. Everything revolves around that.”
Fylamynt aims to take the effort out of that by allowing developers to either write Python and JSON to automate their workflows (think “infrastructure as code” but for workflows) or to use Fylamynt’s visual no-code drag-and-drop tool. As Padala noted, this gives developers a lot of flexibility in how they want to use the service. If you never want to see the Fylamynt UI, you can go about your merry coding ways, but chances are the UI will allow you to get everything done as well.
One area the team is currently focusing on — and will use the new funding for — is building out its analytics capabilities that can help developers debug their workflows. The service already provides log and audit trails, but the plan is to expand its AI capabilities to also recommend the right workflows based on the alerts you are getting.
“The eventual goal is to help people automate any service and connect any code. That’s the holy grail. And AI is an enabler in that,” Padala said.
Gradient Ventures partner Muzzammil “MZ” Zaveri echoed this. “Fylamynt is at the intersection of applied AI and workflow automation,” he said. “We’re excited to support the Fylamynt team in this uniquely positioned product with a deep bench of integrations and a nonprescriptive builder approach. The vision of automating every part of a cloud workflow is just the beginning.”
The team, which now includes about 20 employees, plans to use the new round of funding, which closed in September, to focus on its R&D, build out its product and expand its go-to-market team. On the product side, that specifically means building more connectors.
The company offers both a free plan as well as enterprise pricing and its platform is now generally available.
Data platform Splunk continues to make acquisitions as it works to build out its recently launched observability platform. After acquiring Plumbr and Rigor last month, the company today announced that it has acquired Flowmill, a Palo Alto-based network observability startup. Flowmill focuses on helping its users find network performance issues in their cloud infrastructure in real time and measure their traffic by service to help them control cost.
Like so many other companies in this space now, Flowmill utilizes eBPF, the Linux kernel’s relatively new capability to run sandboxed code inside it without having to change the kernel or load kernel modules. That makes it ideal for monitoring applications.
“Observability technology is rapidly increasing in both sophistication and ability to help organizations revolutionize how they monitor their infrastructure and applications. Flowmill’s innovative NPM solution provides real-time observability into network behavior and performance of distributed cloud applications, leveraging extended Berkeley Packet Filter (eBPF) technologies,” said Tim Tully, Splunk’s chief technology officer. “We’re excited to bring Flowmill’s visionary NPM technology into our Observability Suite as Splunk continues to deliver best-in-class observability capabilities to our customers.”
While Spunk has made some larger acquisitions, including its $1.05 billion purchase of SignalFx, it’s building out its observability platform by picking up small startups that offer very specific capabilities. It could probably build all of these features in-house, but the company clearly believes that it has to move fast to get a foothold in this growing market as enterprises look for new observability tools as they modernize their tech stacks.
“Flowmill’s approach to building systems that support full-fidelity, real-time, high-cardinality ingestions and analysis aligns well with Splunk’s vision for observability,” said Flowmill CEO Jonathan Perry. “We’re thrilled to join Splunk and bring eBPF, next-generation NPM to the Splunk Observability Suite.”
The companies didn’t disclose the purchase price, but Flowmill previously raised funding from Amplify, Felicis Ventures, WestWave Capital and UpWest.
Data platform Splunk today announced that it has acquired two startups, Plumbr and Rigor, to build out its new Observability Suite, which is also launching today. Plumbr is an application performance monitoring service, while Rigor focuses on digital experience monitoring, using synthetic monitoring and optimization tools to help businesses optimize their end-user experiences. Both of these acquisitions complement the technology and expertise Splunk acquired when it bought SignalFx for over $1 billion last year.
When Splunk acquired SignalFx, it said it did so in order to become a leader in observability and APM. As Splunk CTO Tim Tully told me, the idea here now is to accelerate this process.
“Because a lot of our users and our customers are moving to the cloud really, really quickly, the way that they monitor [their] applications changed because they’ve gone to serverless and microservices a ton,” he said. “So we entered that space with those acquisitions, we quickly folded them together with these next two acquisitions. What Plumbr and Rigor do is really fill out more of the portfolio.”
He noted that Splunk was especially interested in Plumbr’s bytecode implementation and its real-user monitoring capabilities, and Rigor’s synthetics capabilities around digital experience monitoring (DEM). “By filling in those two pieces of the portfolio, it gives us a really amazing set of solutions because DEM was the missing piece for our APM strategy,” Tully explained.
With the launch of its Observability Suite, Splunk is now pulling together a lot of these capabilities into a single product — which also features a new design that makes it stand apart from the rest of Splunk’s tools. It combines logs, metrics, traces, digital experience, user monitoring, synthetics and more.
“At Yelp, our engineers are responsible for hundreds of different microservices, all aimed at helping people find and connect with great local businesses,” said Chris Gordon, Technical Lead at Yelp, where his team has been testing the new suite. “Our Production Observability team collaborates with Engineering to improve visibility into the performance of key services and infrastructure. Splunk gives us the tools to empower engineers to monitor their own services as they rapidly ship code, while also providing the observability team centralized control and visibility over usage to ensure we’re using our monitoring resources as efficiently as possible.”