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VictoriaMetrics Cloud Released

VictoriaMetrics announced VictoriaMetrics Cloud, a hosted monitoring platform and managed service for metrics that allows organizations to monitor and store large amounts of time-series data, without having to run the underlying infrastructure.

VictoriaMetrics Cloud delivers the power of the VictoriaMetrics open-source time series solution with enterprise features.

Cloud-based and managed round-the-clock by VictoriaMetrics engineers, VictoriaMetrics Cloud removes the burden of running and maintaining your monitoring infrastructure. This means enterprises don’t need to devote valuable internal resources on learning and maintaining specific monitoring tools. Instead, these teams can provide valuable insights and suggest improvements to IT operations and digital product development.

Feedback from early adopters proves, compared to other leading solutions on the market, VictoriaMetrics Cloud significantly reduces monitoring costs by up to 5x, freeing up budget for other projects.

Additionally, VictoriaMetrics uses a highly compressed time series format that significantly reduces storage requirements compared to other time-series databases. This allows customers to store more data on the same hardware. VictoriaMetrics can also ingest and query data with minimal CPU overhead, allowing you to run it on hardware with fewer cores, resulting in lower costs.

Managing VictoriaMetrics on-premises requires manual scaling, a time-consuming and error-prone process that involves adding new nodes or increasing resource allocation. In contrast, VictoriaMetrics Cloud simplifies scaling by offering tiered upgrades. This ensures a smoother, more reliable scaling experience.

Customers can choose a VictoriaMetrics Cloud tier based on their needs, from starter plans, for smaller deployments, to high-powered options for massive datasets. For organisations already tied into using Grafana Cloud, a popular hosted monitoring platform, VictoriaMetrics Cloud integrates seamlessly.

VictoriaMetrics Cloud is flexible and customizable, integrating seamlessly with existing monitoring tools and infrastructure, such as OpenTelemetry. IT teams can build custom monitoring solutions to meet their specific needs. Importantly, customers can, if needed, easily switch back to the open-source VictoriaMetrics.

“VictoriaMetrics Cloud is a game-changer for companies looking for a powerful and cost-effective monitoring solution,” explains Artem Navoiev, Co-Founder at VictoriaMetrics. “This service will help organisations scale to billions of time series while keeping costs predictable.”

In a significant step forward in its commitment to helping enterprises expand their current monitoring of applications into a more strategic ‘state of all systems’ enterprise-wide observability, VictoriaMetrics will soon announce General Availability of VictoriaLogs. This easy-to-use open-source log management solution is designed for efficient log storage and analysis combining a powerful query language, for easy log searching with minimal resource requirements. 

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VictoriaMetrics Cloud Released

VictoriaMetrics announced VictoriaMetrics Cloud, a hosted monitoring platform and managed service for metrics that allows organizations to monitor and store large amounts of time-series data, without having to run the underlying infrastructure.

VictoriaMetrics Cloud delivers the power of the VictoriaMetrics open-source time series solution with enterprise features.

Cloud-based and managed round-the-clock by VictoriaMetrics engineers, VictoriaMetrics Cloud removes the burden of running and maintaining your monitoring infrastructure. This means enterprises don’t need to devote valuable internal resources on learning and maintaining specific monitoring tools. Instead, these teams can provide valuable insights and suggest improvements to IT operations and digital product development.

Feedback from early adopters proves, compared to other leading solutions on the market, VictoriaMetrics Cloud significantly reduces monitoring costs by up to 5x, freeing up budget for other projects.

Additionally, VictoriaMetrics uses a highly compressed time series format that significantly reduces storage requirements compared to other time-series databases. This allows customers to store more data on the same hardware. VictoriaMetrics can also ingest and query data with minimal CPU overhead, allowing you to run it on hardware with fewer cores, resulting in lower costs.

Managing VictoriaMetrics on-premises requires manual scaling, a time-consuming and error-prone process that involves adding new nodes or increasing resource allocation. In contrast, VictoriaMetrics Cloud simplifies scaling by offering tiered upgrades. This ensures a smoother, more reliable scaling experience.

Customers can choose a VictoriaMetrics Cloud tier based on their needs, from starter plans, for smaller deployments, to high-powered options for massive datasets. For organisations already tied into using Grafana Cloud, a popular hosted monitoring platform, VictoriaMetrics Cloud integrates seamlessly.

VictoriaMetrics Cloud is flexible and customizable, integrating seamlessly with existing monitoring tools and infrastructure, such as OpenTelemetry. IT teams can build custom monitoring solutions to meet their specific needs. Importantly, customers can, if needed, easily switch back to the open-source VictoriaMetrics.

“VictoriaMetrics Cloud is a game-changer for companies looking for a powerful and cost-effective monitoring solution,” explains Artem Navoiev, Co-Founder at VictoriaMetrics. “This service will help organisations scale to billions of time series while keeping costs predictable.”

In a significant step forward in its commitment to helping enterprises expand their current monitoring of applications into a more strategic ‘state of all systems’ enterprise-wide observability, VictoriaMetrics will soon announce General Availability of VictoriaLogs. This easy-to-use open-source log management solution is designed for efficient log storage and analysis combining a powerful query language, for easy log searching with minimal resource requirements. 

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...