
Work Here?
D2iQ provides enterprise-grade cloud native solutions that help large organizations deploy, manage, and scale Kubernetes and data services. Its products—Kommander, Konvoy, and KUDO—work together to simplify multi-cluster governance, Kubernetes deployment, and add-on automation across any cloud, data center, or edge environment. Revenue comes from software subscriptions, professional services, and support. The company differentiates itself by combining a open-source-based foundation with a focused enterprise roadmap and a complete suite of tools and services designed for large-scale, regulated, or public-sector deployments. The goal is to reduce operational overhead and enable rapid adoption of cloud native technologies while supporting large, distributed environments.
Industries
Data & Analytics
Consulting
Government & Public Sector
Enterprise Software
Company Size
11-50
Company Stage
Series D
Total Funding
$247.3M
Headquarters
San Francisco, California
Founded
2013
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$247.3M
Above
Industry Average
Funded Over
5 Rounds
Industry standards
Annual L&D Stipend
Parental Leave
Fertility Benefits and Adoption Assistance
Generous PTO
Stipends: Fitness / Internet / Phone
401(k) Plan
Home office
Incentive stock options
La société inaugure une nouvelle ère de gestion moderne des applications basée sur l'IA avec l'acquisition de la plateforme de gestion Kubernetes... (...)
SAN FRANCISCO, Nov. 9, 2023 /PRNewswire/ -- D2iQ , the leading Kubernetes management platform provider, today announced the general availability of DKP Insights, an automated troubleshooting and diagnostic tool. DKP Insights, along with the newly released DKP AI Navigator, enables enterprise organizations to manage Kubernetes with greater ease and overcome the industry-wide skills gap that has presented the biggest barrier to Kubernetes deployment success, particularly in production environments.Available as an add-on application to the D2iQ Kubernetes Platform (DKP), Insights constantly monitors Kubernetes clusters, identifying performance problems and security issues. It then sends alerts and recommends solutions based on AI and heuristics derived from the D2iQ team's more than 10 years of experience and expertise in managing large container-based deployments."Survey after survey shows that the skills gap is the greatest challenge organizations face in deploying and managing Kubernetes," said D2iQ CEO Tobi Knaup. "The combination of DKP Insights and DKP AI Navigator provides organizations with a unique and powerful set of Kubernetes management tools that enable them to become more agile to meet customer experience demands and operational requirements as they undergo digital transformation and modernization."A Kubernetes Expert By Your Side, AlwaysDKP Insights is like having a Kubernetes expert by your side to prevent, identify, and help correct problems. This automated troubleshooting capability reduces labor and costs by minimizing help desk activities, preventing problems through early detection, and providing speedier resolution to problems.Insights scans for vulnerabilities, detects performance and availability issues like out-of-memory errors, disk-full errors, crashlooping pods, and runs checks for certificate expiration, deprecated APIs, and outdated components
Backed by leading Japanese and US VC firms and a world leading semiconductor company, EdgeCortix is set to disrupt the multi-billion-dollar edge marketTOKYO, Oct. 3, 2023 /PRNewswire/ -- EdgeCortix® Inc., a Japan-based edge artificial intelligence (AI) fabless semiconductor development and design company today announced the closing of a $20 million (approximately ¥3 billion) funding round led by Japan's foremost venture capital (VC) firm SBI Investment Co. Ltd. and Global Hands-On VC (GHOVC), a leading Japan-US collaboration-focused VC with a history of successful semiconductor investments. In addition, EdgeCortix also received an investment from Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, to extend its strategic collaboration with EdgeCortix on AI/ML (Machine Learning) development. Existing investors Cycle Group and Monozukuri Ventures also joined this round.EdgeCortix Founder and CEO Dr
Should early-stage startups pursue a single-cloud, multicloud or on-prem strategy when just starting out?Well, the simple answer to that question is just one cloud, but in the wake of the Silicon Valley Bank collapse, redundancy has become sexy again: Who wants to be dependent on a single provider for any mission-critical activity?TechCrunch+ is currently surveying startup founders and CTOs regarding their cloud usage and best practices.If you’re interested in participating in this survey, we’d love to hear from you!But it appears the main consideration isn’t redundancy — it’s actually what sort of compute load a startup has to deal with, according to a TechCrunch+ survey of several startup founders and CTOs. Notably, the founders we heard from were generally bullish on single-cloud usage for young startups, with significant caveats: If a young tech company is simply hosting software, then, to start, a single cloud will suffice, but if the company is working on AI-related tasks like training models, it may need more.Satyen Sangani, co-founder and CEO of Alation, described when it might make sense to use something other than the cloud:If your company needs a huge amount of infrastructure right at the beginning (say, you’re training the next large language model), it might make sense to buy hardware instead. Generally, the early days of companies are filled with experimentation, and the flexibility that clouds provide is a massive benefit in those days.A good question at this juncture is what fraction of “AI-first” startups are training their own models instead of remixing or retooling the UI-layer of existing LLMs, for example. We reckon it’s not too high.Regardless, after parsing answers to our first question, the next time we ask something related, we’ll amend our prompt to: When should a startup move to a multicloud setup?For now, read on for answers to our question: Should early-stage startups pursue a multicloud or on-prem focus when they’re just starting out?We spoke with:Tobi Knaup, founder CEO, D2iQMang-Git Ng, founder and CEO, AnvilJoe Mainwaring, director of Infrastructure, WorkTangoVikas Bhatia, co-founder, CEO and chief risk officer, JustProtectSatyen Sangani, co-founder and CEO, AlationSteve Mullaney, president and CEO, AviatrixEd Thompson, CTO, MatillionAdrian Estala, VP, field CDO, StarburstShane Buckley, president and CEO, GigamonTobi Knaup, founder and CEO, D2iQ: As always, it depends. But most software startups should start on one cloud and be careful not to create too much lock-in by using proprietary services so you can optimize and migrate more easily later.If your company needs a huge amount of infrastructure right at the beginning (say, you’re training the next large language model), it might make sense to buy hardware instead. Generally, the early days of companies are filled with experimentation, and the flexibility that clouds provide is a massive benefit in those days
D2iQ Kubernetes Platform 2.5 simplifies multi-cluster and air-gapped deployments, giving organizations greater consistency, visibility, security, and compliance across multi-cluster environmentsSAN FRANCISCO, April 18, 2023 /PRNewswire/ -- D2iQ , the leading Kubernetes management platform provider, today announced the newest version of its D2iQ Kubernetes Platform (DKP). With customer-led updates, DKP 2.5 empowers enterprises and public sector organizations to simplify and streamline the management of multi-cluster deployments regardless of where the cluster groups are running.Key enhancements in DKP 2.5 include:Centralized multi-cloud, multicluster fleet management. DKP Enterprise 2.5 enables customers with multi-cluster deployments to more easily manage fleets of clusters through federating application management. This enables a central platform engineering team to ensure consistency and compliance regardless of where a cluster is running. Through centralized fleet management, the ease of deployment and management will be consistent as you grow your infrastructure from single clusters to multiple clusters.DKP Enterprise 2.5 enables customers with multi-cluster deployments to more easily manage fleets of clusters through federating application management. This enables a central platform engineering team to ensure consistency and compliance regardless of where a cluster is running
Find jobs on Simplify and start your career today
Industries
Data & Analytics
Consulting
Government & Public Sector
Enterprise Software
Company Size
11-50
Company Stage
Series D
Total Funding
$247.3M
Headquarters
San Francisco, California
Founded
2013
Find jobs on Simplify and start your career today