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MariaDB Enterprise Summer 2015 Released

MariaDB Corporation announced the Summer 2015 release of MariaDB Enterprise, which was designed to accelerate deployment of open source DBMS applications and to improve reliability and security for DevOps.

MariaDB Enterprise, which is provided as a subscription, includes curated and hardened server binaries based on the leading open source MariaDB community server, along with a selection of tools, connectors, subscription services and customer portal to address the needs of mission-critical applications.

In addition, MariaDB Enterprise offers users the option to deploy MaxScale, a database-aware proxy platform that provides capabilities such as load balancing, sharding and firewall protection without the need to modify existing applications.

According to Gartner, “We find many of our clients adopting a dual-RDBMS strategy: an open-source RDBMS combined with one of the commercial DBMS engines. We also find that many clients are beginning to use OSDBMS for more applications than originally planned — and that vendors are eager to tell us about their "expanding footprint" after their first few deployments are in place in an organization. We believe this trend will continue so that, by 2018, more than 70% of new in-house applications will be developed on an OSDBMS.” Gartner goes on to state, “Information leaders who opt for an open-source DBMS (OSDBMS) licensing model can benefit from much lower costs than using a commercial model, even with today’s hosted cloud and database as a service (dbPaaS) offerings.”

"In just five years, the adoption of MariaDB for new applications and the migration to MariaDB from MySQL and other RDBMSs has been tremendous," said Patrik Sallner, CEO of MariaDB. “We enable our customers to extend their database solutions to address high availability, scalability and performance at considerable total cost of ownership (TCO) savings. Now with the Summer 2015 release of MariaDB Enterprise, our customers and partners can realize even further gains through developer enablement and DevOps productivity.”

The MariaDB Enterprise Summer 2015 release includes enhancements in key areas:

- Developer Enablement and DevOps Productivity

o Tools: Docker Containers, Chef Recipes & Cookbooks
o Ability to launch email notifications and external scripts via MaxScale event triggers
o Hardened and curated MariaDB Enterprise server binaries

- Reliability and Security

o Client-side SSL support in MaxScale
o Integrated failure detection and failover with MaxScale

- Scalability:

o MaxScale binlog server extended to support MariaDB 10 master and slaves

- Performance:

o Optimized performance binaries for MariaDB Enterprise Cluster 5.5 and 10.0 on RHEL / CentOS 6 & 7, which can increase performance by 15%

- Customer experience:

o Online subscription management through the MariaDB customer portal has been extended to allow management of all third party and notification keys through the portal.

“MariaDB’s Summer release is well aligned with the trend by enterprises to adopt and use multiple data platforms in concert; no one platform can do all things,” said John Myers, Managing Research Director at Enterprise Management Associates (EMA). “As customers look for faster time to implementation and a shorter time to insight from their data, MariaDB’s elastic database platform’s new functionality enables organizations to implement and derive value more rapidly.”

“Replacing MySQL with MariaDB improved our performance by 20-25%, increased our uptime, and resolved our stability issues,” said Mohammad Saleh, Director of IT, Retail Applications, Golfsmith International. “As an online retailer, we are pleased that MariaDB has delivered on mission critical issues for our business.”

MariaDB Enterprise Summer 2015, with MaxScale, is available immediately.

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MariaDB Enterprise Summer 2015 Released

MariaDB Corporation announced the Summer 2015 release of MariaDB Enterprise, which was designed to accelerate deployment of open source DBMS applications and to improve reliability and security for DevOps.

MariaDB Enterprise, which is provided as a subscription, includes curated and hardened server binaries based on the leading open source MariaDB community server, along with a selection of tools, connectors, subscription services and customer portal to address the needs of mission-critical applications.

In addition, MariaDB Enterprise offers users the option to deploy MaxScale, a database-aware proxy platform that provides capabilities such as load balancing, sharding and firewall protection without the need to modify existing applications.

According to Gartner, “We find many of our clients adopting a dual-RDBMS strategy: an open-source RDBMS combined with one of the commercial DBMS engines. We also find that many clients are beginning to use OSDBMS for more applications than originally planned — and that vendors are eager to tell us about their "expanding footprint" after their first few deployments are in place in an organization. We believe this trend will continue so that, by 2018, more than 70% of new in-house applications will be developed on an OSDBMS.” Gartner goes on to state, “Information leaders who opt for an open-source DBMS (OSDBMS) licensing model can benefit from much lower costs than using a commercial model, even with today’s hosted cloud and database as a service (dbPaaS) offerings.”

"In just five years, the adoption of MariaDB for new applications and the migration to MariaDB from MySQL and other RDBMSs has been tremendous," said Patrik Sallner, CEO of MariaDB. “We enable our customers to extend their database solutions to address high availability, scalability and performance at considerable total cost of ownership (TCO) savings. Now with the Summer 2015 release of MariaDB Enterprise, our customers and partners can realize even further gains through developer enablement and DevOps productivity.”

The MariaDB Enterprise Summer 2015 release includes enhancements in key areas:

- Developer Enablement and DevOps Productivity

o Tools: Docker Containers, Chef Recipes & Cookbooks
o Ability to launch email notifications and external scripts via MaxScale event triggers
o Hardened and curated MariaDB Enterprise server binaries

- Reliability and Security

o Client-side SSL support in MaxScale
o Integrated failure detection and failover with MaxScale

- Scalability:

o MaxScale binlog server extended to support MariaDB 10 master and slaves

- Performance:

o Optimized performance binaries for MariaDB Enterprise Cluster 5.5 and 10.0 on RHEL / CentOS 6 & 7, which can increase performance by 15%

- Customer experience:

o Online subscription management through the MariaDB customer portal has been extended to allow management of all third party and notification keys through the portal.

“MariaDB’s Summer release is well aligned with the trend by enterprises to adopt and use multiple data platforms in concert; no one platform can do all things,” said John Myers, Managing Research Director at Enterprise Management Associates (EMA). “As customers look for faster time to implementation and a shorter time to insight from their data, MariaDB’s elastic database platform’s new functionality enables organizations to implement and derive value more rapidly.”

“Replacing MySQL with MariaDB improved our performance by 20-25%, increased our uptime, and resolved our stability issues,” said Mohammad Saleh, Director of IT, Retail Applications, Golfsmith International. “As an online retailer, we are pleased that MariaDB has delivered on mission critical issues for our business.”

MariaDB Enterprise Summer 2015, with MaxScale, is available immediately.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.