Senior Solutions Engineer
About the job
- At least 5 years of technical pre-sales experience.
- Be open to varied and complex assignments requiring sound judgment, collaboration, and leadership.
- Have strong written and oral communication skills to collaborate with remote-first internal teams and worldwide customers, and clearly articulate the company's value proposition and products' technical advantages.
- Enjoy solving technical challenges and bringing creative solutions to customers.
- Have a technical mindset and desire to grow technically.
- Be located in Sweden.
- Partner with the Sales team to articulate the company's value proposition, vision, and strategy to customers.
- Own technical engagement with customers and help close complex opportunities through competitive knowledge, technical skill, and credibility.
- Deliver product and technical presentations to potential and existing customers.
- Communicate with customers and internal teams to provide feedback on products and the competitive landscape.
- Drive product conversations based on customers' needs and problems.
- Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public or private enablement material.
- Experience with open-source technologies or in the metrics and monitoring space.
- Experience with sales methodologies such as MEDD(P)ICC.
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
What You'll Be Doing
- Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
- Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
- Delivering product and technical presentations to potential and existing customers
- Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
- Driving product conversations based on need and problems with customers
- Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What Makes you a Great Fit:
- 5+ years of technical pre-sales experience
- Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
- You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
- You love solving technical challenges and thrive on bringing creative solutions to our customers
- You should have a technical mindset and a desire to grow technically.
- Must be located in Sweden
Bonus Points For:
- Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage
- Experience with sales methodologies like MEDD(P)ICC is a plus
Compensation & Rewards
In Sweden, the OTE (On-Target Earnings) compensation range for this role is SEK 1,119,000 - SEK 1,400,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
About the company
Grafana Labs builds observability and monitoring tools for cloud infrastructure and applications. Its flagship Grafana dashboard lets users visualize data from many sources in real time and set up alerts, with additional options like Grafana Enterprise for large deployments and Grafana Cloud as a managed service. The core open-source platform is complemented by commercial features and services that provide security, scalability, and dedicated support, appealing to both individual developers and large organizations. The goal is to help businesses keep digital services reliable and efficient by delivering scalable, real-time visibility into software and infrastructure.
Company Size
1,001-5,000
Company Stage
Series D
Total Funding
$805.2M
Headquarters
New York City, New York
Founded
2014
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Simplify's Take
What believers are saying
- Grafana Labs said February 2026 ARR passed $600 million and customers exceeded 10,000.
- April 2026 launches expanded AI Observability, and July 2026 made Agent Observability GA.
- Adaptive Metrics, Logs, and Traces cut customer telemetry costs 30% to 50%, driving expansion.
What critics are saying
- Pillar Security found Grafana MCP SSRF CVE-2026-19516, exposing internal services through deployed servers.
- AI features deepen security surface; a compromised assistant workflow can pivot through privileged service accounts.
- Open-source Grafana remains commoditized; Datadog and Elastic can bundle broader platforms and pricing power.
What makes Grafana Labs unique
- Grafana 13 and open standards keep customers portable across clouds and self-hosted stacks.
- Grafana Assistant, GCX, and Agent Observability turn observability into an AI-operated workflow.
- Adaptive Telemetry spans metrics, logs, traces, and profiles, shrinking costs while preserving signal.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- 30 days of paid vacation each year on top of national holidays, parental leave, & sick leave
- Health coverage
- 4% contribution match on our 401(k)
- $1,500 learning and development stipend
- Udemy subscription
- Complimentary subscription to Headspace
- Discounts on a wide variety of services, including entertainment, food, and fitness.
- Remote Work Option
- Global Employee Assistance Program
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
0%Grafana Tempo 3.1 adds query-based trace redaction and sampling-aware TraceQL metrics. Follow InfoQ on. Grafana Labs has released Tempo 3.1, the first minor update to the 3.0 architecture. It adds TLS and additional SASL mechanisms to the Kafka client, lets operators redact traces with a TraceQL query instead of a list of trace IDs, and introduces an experimental query-time hint that corrects TraceQL metrics for sampled data. vParquet5 also becomes the default block format. According to Grafana, simple metrics queries now run close to twice as fast. The release builds on Tempo 3.0, published in June, which made the Kafka-compatible architecture (codenamed Project Rhythm) the default for microservices deployments. In that design, distributors write to a Kafka topic. Block-builders consume the topic to write Parquet blocks to object storage, and live-stores consume it to serve recent traces. Ingesters and compactors are gone, replaced by a backend scheduler and workers. Grafana says dropping replication factor 3 reduces storage from 3 to 3.5 times the trace volume to a single copy. Monolithic mode remains Kafka-free. Grafana Tempo Architecture Because Kafka is now on the critical path, the 3.0 client's limits became a problem. It supported only SASL PLAIN over an unencrypted connection, so any broker requiring TLS refused it. Tempo 3.1 adds TLS, including optional mTLS, plus SCRAM-SHA-256, SCRAM-SHA-512, OAUTHBEARER, and AWS_MSK_IAM. A new client_rack option enables rack-aware fetching (KIP-392), so block-builders, live-stores, and metrics-generators can read from a replica in their own availability zone and avoid cross-zone transfer charges. It requires brokers with rack IDs configured. A new producer_compression option accepts none, gzip, snappy, lz4, or zstd; unset, it defaults to snappy. Grafana notes that this, together with TLS, makes Azure Event Hubs usable as a backend, since it accepts only gzip. All three changes came from community contributors. Trace redaction, introduced in 3.0 through t`empo-cli redact`, previously required enumerating trace IDs. Sensitive values such as tokens or account numbers often appear across more traces than can practically be listed. In 3.1 the command takes a TraceQL query and supports -dry-run, which counts matches without modifying blocks. Grafana limits the syntax to one spanset filter. It uses equality comparisons on resource.* and span.* attributes, along with && and |. This is because the rewrite cannot be undone. -start and -end flags narrow the time range, which matters because Tempo pauses compaction for a tenant while a redaction applies. Grafana warns that older workers ignore the window and remove every match in each block they receive, without an error. The flags should only be used once every scheduler and worker runs 3.1. TraceQL metrics, which became generally available in 3.0, gains three changes. The experimental hint with (extrapolate=true) scales by the sampling rate in tracestate. This follows OpenTelemetry's probability sampling rules. At 50% sampling, each stored span counts as two. Spans without a recorded rate count as one, so partial adoption does not distort other services. It applies to: rate, count_over_time, sum_over_time, avg_over_time, histogram_over_time, quantile_over_time, and compare, but not to min_over_time or max_over_time. It requires vParquet4 or later and reads the rate the same way as the metrics-generator's enable_tracestate_span_multiplier setting from 3.0, so ad-hoc queries and pre-aggregated series should agree. Second, +, -, *, and / now work between metrics queries and scalars, so an error rate becomes a single query. Third, the span-only fetch path, experimental in 3.0, is now on by default for vParquet5 blocks. In one warmed-up test, | rate finished in slightly over half the time. Other additions include an experimental span pruning option on the trace-by-ID v2 endpoint, which collapses similar leaf spans into one summary span carrying count and duration statistics. The same endpoint gains TraceQL filtering. A new experimental POST /api/v2/traces/diff endpoint compares two traces and can return a compact summary instead of a span-level patch. It is exposed through gcx, tempo-cli, and the Tempo MCP server, where Grafana says the smaller payload helps LLM-driven investigations. The metrics-generator gets an unmatched_span_kind label on expired service-graph edges, support for the renamed OpenTelemetry db.system.name attribute, and pooled label buffers that Grafana reports reduce per-span allocations to zero in its service-graph benchmarks. Claudio masolo. Claudio is a Senior DevOps Engineer at Nearform. In his spare time, he likes running, reading, and playing old video games. Related sponsors. A round-up of last week's content on InfoQ sent out every Tuesday. Join a community of over 250,000 senior developers. View an example
Glean names Francesca Moore as ANZ sales vice president. Wed, 14th Oct 2026 (Today) Glean has appointed Francesca Moore as Vice President of Sales for Australia and New Zealand, expanding its leadership team in a market it has identified for growth. Moore will oversee the business across Australia and New Zealand, including go-to-market strategy, enterprise sales and regional team growth. Her appointment comes as businesses in the region shift from testing artificial intelligence tools to deploying them more widely across their operations. The role is part of a broader investment in Australia and New Zealand, where companies are under pressure to show practical returns on AI spending. Glean cited findings from its Work AI Index showing Australian workers spend an average of 6.5 hours a week making AI usable, while only 10% say their organisation is performing significantly better as a result. Glean's pitch centres on the idea that AI systems need access to a business's internal knowledge, people, permissions and workflows to produce reliable results. That argument has become more prominent as companies move beyond early trials and focus on whether AI can improve day-to-day work. Before joining Glean, Moore was Regional Vice President for APAC at Grafana Labs, where she led the business across the region. She also held regional leadership roles at MongoDB and AppDynamics, building teams and customer relationships in Australia and across Asia-Pacific. Amar Maletira, Chief Operating Officer at Glean, said the appointment reflects the company's long-term plans in the region. "Australia and New Zealand is an important growth market for Glean, and we're investing for the long term," Maletira said. "Francesca brings a strong track record of scaling enterprise technology businesses in ANZ, building high-performing teams, and earning the trust of customers. She will play an important role in growing Glean's business across the region and helping more organisations deploy AI that is grounded in the context of their business and built to deliver real value." Glean has been positioning itself around enterprise search and AI tools that draw on internal company data to answer questions and support workflows. In Australia and New Zealand, it is operating in a market where buyers are becoming more cautious about broad AI claims and more focused on security, access controls and measurable outcomes. Regional focus The appointment of a senior sales executive for Australia and New Zealand suggests Glean sees enough demand to justify a more formal local structure. Regional hiring by overseas software groups has picked up as vendors try to convert interest in AI into longer-term contracts with large companies and government-linked organisations. For many of those customers, the challenge is not access to large language models but integrating AI into existing systems and ensuring staff can use the tools without creating compliance or governance problems. Suppliers that can show how AI fits established workflows are likely to face closer scrutiny from procurement teams than they did during the first wave of generative AI adoption. Moore said businesses in the region are now looking beyond small-scale trials. "Australia and New Zealand are at an important inflection point with enterprise AI," Moore said. "Organisations are moving beyond pilots and asking how AI can deliver meaningful value across the business. What stood out to me about Glean is its ability to give AI the enterprise context it needs to be genuinely useful. I'm excited to work with our customers, partners and team across the region as we scale."
NetBox Labs, which makes the NetBox infrastructure record system, announced partnerships with NVIDIA and Grafana Labs on October 13, 2026, at its first NetBox Evolve conference in Cape Canaveral, Florida. NVIDIA now uses NetBox as a native source of truth for NVIDIA Configuration Manager, the network orchestration part of DSX OS. Grafana Labs released a free, open source NetBox plugin in its catalog that brings live infrastructure context into dashboards and alerts. NetBox Labs also launched NetBox Designs in public preview, plus new AI agents and a generally available Platform MCP Server. Chief executive officer Kris Beevers said more than 90% of top neoclouds use NetBox. He expects it to power more than 100 GW of AI datacenter capacity by 2030.
Netbox Labs partners with NVIDIA and Grafana Labs, announces new additions to the NetBox Infrastructure Intelligence Platform to Assemble the Intelligence Layer for AI Datacenter and Enterprise Infrastructure Buildouts. NetBox, already used by more than 90% of top neoclouds, and companies including Arm, J.P. Morgan Chase and CoreWeave, becomes native to NVIDIA DSX OS and the Grafana catalog, and adds new ways for people and AI agents to design and run the world's most complex infrastructure environments. CAPE CANAVERAL, Fla., Oct. 13, 2026 (GLOBE NEWSWIRE) - Kennedy Space Center - NetBox Labs, the company behind NetBox, the system of record for networks and datacenters, today announced partnerships with NVIDIA and Grafana Labs, along with a host of new platform capabilities, at the first ever NetBox Evolve conference. Together, these announcements extend NetBox's position as the central intelligence layer for the world's technology infrastructure. * NVIDIA now integrates with NetBox as a native source of truth for NVIDIA Configuration Manager (NVCM), the network orchestration component of NVIDIA DSX OS. As the AI infrastructure buildout accelerates, this partnership puts NetBox at the center of how AI infrastructure is designed, provisioned, and operated. * Grafana Labs and NetBox Labs have released an official NetBox plugin in the Grafana catalog. It brings live infrastructure context into Grafana dashboards and alerts, enabling network and datacenter teams to attach meaning to their data. * NetBox Labs Infrastructure Intelligence Platform has expanded with new products and features. NetBox Designs joins NetBox Visual Explorer and NetBox Asset Lifecycle to accelerate the design and planning, procurement, and management of datacenter and network buildouts. In addition, new agents and AI operations capabilities help every team automate their infrastructure atop NetBox's vendor-neutral context. Finally, a variety of new integrations and new dashboards for NetBox Analytics help teams bring more data into NetBox, and quickly understand their infrastructure. "Whether teams are building enterprise networks and infrastructure in retail, healthcare, financial services, or deploying an AI datacenter at massive speed and scale, configuration, observability and automation all depend on having an authoritative record of what infrastructure should exist and how it should be operating. That record is NetBox," said NetBox Labs CEO and cofounder Kris Beevers. "Today NetBox is used by companies like Arm, CoreWeave, Kaiser Permanente and J.P. Morgan Chase to build, run and grow their networks and infrastructure. We're seeing tremendous growth, with more than 90% of the top neoclouds using NetBox to design and scale their AI datacenters and we expect NetBox to power more than 100 GW of AI datacenter capacity by 2030." NetBox becomes native to NVIDIA DSX OS NVIDIA has partnered with NetBox Labs to make NetBox a native source of truth for NVCM, so network configuration in DSX OS comes straight from the system of record that AI infrastructure teams already use. This puts NetBox at the center of the design, provisioning and operation of today's large-scale AI deployments. NetBox provides the central data driving automation of configuration across NVIDIA-native cluster fabrics. NetBox context in every Grafana Labs dashboard Infrastructure produces more telemetry than ever. But telemetry only shows what infrastructure is doing, not what it is: which device an interface belongs to, which site it's in, what role it plays, who owns it, and whether it should exist at all. Today, teams fill that gap by hand, with brittle scripts or guesswork. Now, with the partnership between NetBox Labs and Grafana Labs, NetBox records what infrastructure is supposed to be, and Grafana shows what it's actually doing. The free, open source NetBox plugin, built with Grafana Labs and published in the Grafana catalog, carries live NetBox context (site, role, tenant, rack, owner, lifecycle) into Grafana dashboards and alerts. It requires no pipeline changes, avoids stale labels and adds no metric cost. Separately, NetBox Labs' open source Orb platform now gives Grafana Cloud users a new source of network flow and packet telemetry. "Network and infrastructure observability are popular use cases we see across the Grafana community, and context is what separates a wall of metrics from answers and action," said Ash Mazhari, VP of Corporate Development, Grafana Labs. "NetBox is the system of record teams already trust. With the NetBox data source in our catalog and Orb delivering network telemetry into Grafana Cloud, our users get a deeper understanding of their infrastructure and network data." New NetBox Labs Platform capabilities for people and AI agents In addition to the partnerships, NetBox Labs also announced several new additions to the NetBox Labs Infrastructure Intelligence platform. * NetBox Designs, now in public preview, delivers reusable templates for rapid infrastructure design. Teams define a site, rack or IP plan once, then can rinse and repeat for large scale deployments. NetBox Asset Lifecycle then carries the planned objects through bill of materials, purchase order, shipment and installation. * NetBox Analytics adds a number of new ready-made dashboards this week to help teams understand their complex infrastructure environments, and will be generally available next month alongside NetBox Visual Explorer, which enables teams to rapidly view and navigate large-scale datacenter and network footprints. * Integrations between the NetBox Labs platform and the surrounding ecosystem continue to multiply. Arista CloudVision, AWS VPC IPAM, and Cisco Nexus Dashboard integrations become generally available this month, and new integrations with Palo Alto Panorama, Tenable, and Kubernetes enter public preview later in October. * Agentic operations depend on NetBox as the vendor-neutral context layer for AI agents. Per Gartner(R) forecast, by 2030, 50% of organizations will use agentic NetOps with minimal human involvement, up from nearly 0% in 2026. (Source: Gartner, 2026 Strategic Roadmap for Agentic AI in Infrastructure and IT Operations, Tim Zimmerman, Mike Leibovitz, Andrew Lerner, Jonathan Forest, Karen Brown, 5 June 2026) * NetBox Agents gains new pre-built agents for change request review, lifecycle and version compliance, data quality management, and data import that lower barriers for teams to accelerate agentic automation. Now available in public preview. * The fully managed, now generally available NetBox Platform MCP Server lets teams bring infrastructure context to their own agents, which can query and change infrastructure across the whole platform in plain language with nothing to host. "Only NetBox Labs provides a comprehensive infrastructure intelligence platform that spans every stage of the infrastructure lifecycle, with vendor neutrality, clear agent guardrails, and the trust of the world's most demanding environments," said CEO and cofounder Kris Beevers. "Today's NetBox Labs product and NVIDIA and Grafana Labs partner announcements enable teams at any point in their infrastructure modernization journey to work with confidence knowing they are backed by the world's most powerful infrastructure intelligence platform. We're very excited about what these partnerships and product announcements mean for our customers and business." About NetBox Labs NetBox Labs simplifies the full infrastructure lifecycle for the world's most demanding technical environments. It is the commercial steward of NetBox, the open source infrastructure system of record trusted by 10,000+ organizations for more than a decade. NetBox Labs streamlines infrastructure procurement, modeling, deployment and management for both humans and agents. Its infrastructure intelligence platform powers business-critical systems at companies like Arm, CoreWeave, J.P. Morgan, Kaiser Permanente and Riot Games. Headquartered in New York City, NetBox Labs is backed by NGP, Notable Capital, Flybridge, IBM, Salesforce and Two Sigma. Visit https://netboxlabs.com to learn more. Media Contact: Rhiannon Pacheco, [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Military Industry Today do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Netbox Labs partners with NVIDIA and Grafana Labs. NetBox Labs announced partnerships with NVIDIA and Grafana Labs, along with a host of new platform capabilities, at the first ever NetBox Evolve conference. Together, these announcements extend NetBox's position as the central intelligence layer for the world's technology infrastructure. * NVIDIA now integrates with NetBox as a native source of truth for NVIDIA Configuration Manager (NVCM), the network orchestration component of NVIDIA DSX OS. As the AI infrastructure buildout accelerates, this partnership puts NetBox at the center of how AI infrastructure is designed, provisioned, and operated. * Grafana Labs and NetBox Labs have released an official NetBox plugin in the Grafana catalog. It brings live infrastructure context into Grafana dashboards and alerts, enabling network and datacenter teams to attach meaning to their data. * NetBox Labs Infrastructure Intelligence Platform has expanded with new products and features. NetBox Designs joins NetBox Visual Explorer and NetBox Asset Lifecycle to accelerate the design and planning, procurement, and management of datacenter and network buildouts. In addition, new agents and AI operations capabilities help every team automate their infrastructure atop NetBox's vendor-neutral context. Finally, a variety of new integrations and new dashboards for NetBox Analytics help teams bring more data into NetBox, and quickly understand their infrastructure. "Whether teams are building enterprise networks and infrastructure in retail, healthcare, financial services, or deploying an AI datacenter at massive speed and scale, configuration, observability and automation all depend on having an authoritative record of what infrastructure should exist and how it should be operating. That record is NetBox," said NetBox Labs CEO and cofounder Kris Beevers. "Today NetBox is used by companies like Arm, CoreWeave, Kaiser Permanente and J.P. Morgan Chase to build, run and grow their networks and infrastructure. We're seeing tremendous growth, with more than 90% of the top neoclouds using NetBox to design and scale their AI datacenters and we expect NetBox to power more than 100 GW of AI datacenter capacity by 2030." NetBox becomes native to NVIDIA DSX OS NVIDIA has partnered with NetBox Labs to make NetBox a native source of truth for NVCM, so network configuration in DSX OS comes straight from the system of record that AI infrastructure teams already use. This puts NetBox at the center of the design, provisioning and operation of today's large-scale AI deployments. NetBox provides the central data driving automation of configuration across NVIDIA-native cluster fabrics. NetBox context in every Grafana Labs dashboard Infrastructure produces more telemetry than ever. But telemetry only shows what infrastructure is doing, not what it is: which device an interface belongs to, which site it's in, what role it plays, who owns it, and whether it should exist at all. Today, teams fill that gap by hand, with brittle scripts or guesswork. Now, with the partnership between NetBox Labs and Grafana Labs, NetBox records what infrastructure is supposed to be, and Grafana shows what it's actually doing. The free, open source NetBox plugin, built with Grafana Labs and published in the Grafana catalog, carries live NetBox context (site, role, tenant, rack, owner, lifecycle) into Grafana dashboards and alerts. It requires no pipeline changes, avoids stale labels and adds no metric cost. Separately, NetBox Labs' open source Orb platform now gives Grafana Cloud users a new source of network flow and packet telemetry. "Network and infrastructure observability are popular use cases we see across the Grafana community, and context is what separates a wall of metrics from answers and action," said Ash Mazhari, VP of Corporate Development, Grafana Labs. "NetBox is the system of record teams already trust. With the NetBox data source in our catalog and Orb delivering network telemetry into Grafana Cloud, our users get a deeper understanding of their infrastructure and network data." New NetBox Labs Platform capabilities for people and AI agents In addition to the partnerships, NetBox Labs also announced several new additions to the NetBox Labs Infrastructure Intelligence platform. * NetBox Designs, now in public preview, delivers reusable templates for rapid infrastructure design. Teams define a site, rack or IP plan once, then can rinse and repeat for large scale deployments. NetBox Asset Lifecycle then carries the planned objects through bill of materials, purchase order, shipment and installation. * NetBox Analytics adds a number of new ready-made dashboards this week to help teams understand their complex infrastructure environments, and will be generally available next month alongside NetBox Visual Explorer, which enables teams to rapidly view and navigate large-scale datacenter and network footprints. * Integrations between the NetBox Labs platform and the surrounding ecosystem continue to multiply. Arista CloudVision, AWS VPC IPAM, and Cisco Nexus Dashboard integrations become generally available this month, and new integrations with Palo Alto Panorama, Tenable, and Kubernetes enter public preview later in October. * Agentic operations depend on NetBox as the vendor-neutral context layer for AI agents. Per Gartner(R) forecast, by 2030, 50% of organizations will use agentic NetOps with minimal human involvement, up from nearly 0% in 2026. (Source: Gartner, 2026 Strategic Roadmap for Agentic AI in Infrastructure and IT Operations,Tim Zimmerman,Mike Leibovitz,Andrew Lerner,Jonathan Forest,Karen Brown, 5 June 2026) * NetBox Agents gains new pre-built agents for change request review, lifecycle and version compliance, data quality management, and data import that lower barriers for teams to accelerate agentic automation. Now available in public preview. * The fully managed, now generally available NetBox Platform MCP Server lets teams bring infrastructure context to their own agents, which can query and change infrastructure across the whole platform in plain language with nothing to host. Only NetBox Labs provides a comprehensive infrastructure intelligence platform that spans every stage of the infrastructure lifecycle, with vendor neutrality, clear agent guardrails, and the trust of the world's most demanding environments," said CEO and cofounder Kris Beevers. "Today's NetBox Labs product and NVIDIA and Grafana Labs partner announcements enable teams at any point in their infrastructure modernization journey to work with confidence knowing they are backed by the world's most powerful infrastructure intelligence platform. We're very excited about what these partnerships and product announcements mean for our customers and business." David Marshall is the founder of VMblog.com, one of the industry's longest-running independent publications covering modern data center technologies. What began as a focus on virtualization and cloud computing has expanded to cover the full spectrum of enterprise IT, including AI, security, and DevOps, making VMblog a trusted destination for vendor news, technology analysis, and industry commentary.Beyond publishing, David has spent his career at the intersection of technology and business, inventing, marketing, and launching a number of successful software companies and products, and building a reputation as a skilled marketing executive in the enterprise IT space.David is also a published author, having written two well-regarded books on virtualization and served as technical editor for two "For Dummies" titles covering virtualization and cloud computing. He co-founded CloudCow.com, a publication focused on cloud computing, and has been named a VMware vExpert every year since 2009, one of the longest continuous honoree streaks in the program's history.Connect with David on LinkedIn: https://www.linkedin.com/in/davidmarshall/