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Maintenance released for predictable cloud operations

· 3 min read
Irene (윤영지)
Service Manager
Monitoring Flow

If you have operated a cloud environment, you may have experienced this at least once: a missed update being pointed out in a security vulnerability report, or anxiously watching the monitor when a server restarts at an unwanted time while users are flooding in.

In fact, this is a reality many operators face. As cloud environments become increasingly complex and security threats more sophisticated, the burden that update and patch management places on operators is growing noticeably.

AWS, Azure, and Google Cloud also provide maintenance services to address missed security patches, operational time constraints, and insufficient stability in large-scale environments, helping operators focus on their essential work.

KakaoCloud also understands the anxiety and burden operators experience. In July 2025, we introduced the Maintenance service, tailored to the environment of domestic customers.🎉 🎉 🎉

Changes operators can experience directly

Maintenance goes beyond simply automating updates. It provides stability and efficiency that operators can experience directly. Let's look at a few representative situations.

First is the case of security patches. Previously, operators always had to worry about when to apply patches and how they would affect services. Now, those concerns can be reduced.
Maintenance automatically detects when new security updates are needed and lets operators schedule them for a selected time window. When an update is complete, operators can immediately check success or failure through email notifications, and if a failure occurs, they can quickly reschedule. This helps reduce the risk of service interruption.

The effect is also clear in database operations. For example, when a MySQL instance needs to be upgraded to the latest version, operators previously had to manage downtime directly and watch the process with concern. With Maintenance, however, operators only need to specify the scheduled time and task details. Maintenance automatically performs the upgrade at the specified time and provides results and status in real time, enabling stable upgrades without separate manual intervention.

In this way, Maintenance helps systematically and predictably manage tasks that directly affect service stability, such as security, database, and system updates.

How to use Maintenance

The usage flow of Maintenance is simple.

  1. Check update targets Review automatically detected upgrade targets or user-registered maintenance task lists, and check recommended schedules and expected impact in advance.
  2. Schedule tasks Set the execution date and time for each task, and schedule it during periods of low service usage to secure operational stability.
  3. Monitor progress When the scheduled time arrives, the task runs automatically, and you can check progress in real time.
  4. Check results and follow up Check the success status and detailed results of completed tasks, and retry or change the schedule if needed.

All of these processes can be performed in an intuitive console UI, allowing operators to continue maintenance conveniently without complex procedures.

Predictable maintenance that reduces uncertainty

The key to cloud operations is always stability and predictability. Maintenance improves operational efficiency by automating repetitive tasks, reduces uncertainty by notifying users in advance of interruption risks that may occur during updates, and further strengthens stability through staged updates.

Currently, maintenance is supported for MySQL instances and will be expanded to more managed services, including PostgreSQL, in the future.

Reduce unnecessary operational risk and raise service stability to the next level with KakaoCloud Maintenance.

You can find more information about Maintenance in the technical documentation.
👉 Understand key concepts of Maintenance

MySQL service released in the kr-central-2 region

· 2 min read
Sandy (차신영)
Technical Contents Manager
Notice

The following announcement for the MySQL service was written based on information available in September 2023. For the latest information about KakaoCloud MySQL, see MySQL.

Hello, KakaoCloud's MySQL service is now available in the kr-central-2 region.

KakaoCloud MySQL is a fully managed database service built on an open-source relational database management system (RDBMS).

This release of KakaoCloud MySQL includes support for automatic instance recovery, adding read-only instances (read replicas), and high availability.

Key features and supported items of the MySQL service are as follows.

  • High availability and Multi-AZ support: Ensures high availability and lets you create an instance group by selecting subnets through a Multi-AZ configuration.
  • Auto Failover: Supports not only manual failover but also automatic failover. When a system failure occurs, the database can automatically switch to another node to minimize service interruption.
  • MySQL 8.0.34 support: Lets you use the latest features and security updates of MySQL 8.0.34.
  • Support for m2a and r2a instance specifications: Lets you choose an instance that fits your workload and expect resource optimization and performance improvement.

For more information, see the MySQL page.

We will continue working to provide safer and more convenient cloud services.

Thank you.

BCS general-purpose t1i instances released

· 3 min read
Mia (정혜원)
Technical Contents Manager
Notice

The following announcement for t1i instances was written based on information available in September 2023. For the latest instance types and attributes of KakaoCloud Beyond Compute Service, see General-purpose instances.

Hello, KakaoCloud's general-purpose instances are now available in the kr-central-2 region.

t1i instances run on 2nd Gen Intel Xeon Scalable processors (Cascade Lake 5220 or Skylake 5120) with frequencies up to 3.9 GHz, and provide the most cost-effective option among KakaoCloud instance families.

t1i instances provide a balanced mix of compute, memory, and network resources, and are designed for general-purpose workloads that maintain low average CPU usage but experience temporary spikes. They provide up to 8 vCPUs and 32 GiB of memory, and support network bandwidth of up to 5 Gbps.

t1i instances start from as low as KRW 5.5 per hour for t1i.nano, and before burst is provided, CPU-credit-based utilization is additionally relaxed by up to 15 to 20%.


Detailed specifications and pricing for t1i instances are as follows.

  • 2nd Gen Intel Xeon Scalable processors (Cascade Lake 5220 or Skylake 5120) up to 3.9 GHz
  • Network bandwidth up to 5 Gbps
  • Instance sizes supporting up to 8 vCPUs and 32 GiB of memory
  • Support for Intel instruction sets (AVX, AVX2, AVX-512)
  • Support for Intel Turbo Boost Technology 2.0
  • Burstable CPU controlled by CPU credits and consistent baseline performance (planned for future availability)
Instance type      vCPUMemory (GiB)Network bandwidth (Gbps)Hourly price         Monthly price (based on 30 days)
  
t1i.nano2    0.5    Up to 5     KRW 5.5    KRW 3,960
t1i.micro21Up to 5KRW 11.1     KRW 7,992
t1i.small22Up to 5KRW 22.1     KRW 15,912
t1i.medium24Up to 5KRW 44.2     KRW 31,824
t1i.large28Up to 5KRW 88.4     KRW 63,648
t1i.xlarge416Up to 5KRW 176.8     KRW 127,296
t1i.2xlarge832Up to 5KRW 353.6    KRW 254,592

For more information, see the General-purpose instances page.

We will continue working to provide safer and more convenient cloud services.

Thank you.

BCS compute-optimized c2a instances released

· 2 min read
Sandy (차신영)
Technical Contents Manager
Notice

The following announcement for c2a instances was written based on information available in September 2023. For the latest instance types and attributes of KakaoCloud Beyond Compute Service, see Compute-optimized instances.

Hello, we are sharing the release of KakaoCloud's compute-optimized instances.

The newly released compute-optimized instance family from KakaoCloud is the c2a family, equipped with 3rd Gen AMD EPYC 7003 series 7643 processors that run at frequencies up to 3.6 GHz.

c2a instances are designed for compute-intensive workloads that require high-performance compute specifications, with a 1:2 vCPU-to-memory ratio. They provide up to 96 vCPUs and up to 192 GB of memory, and support high network bandwidth of up to 25 Gbps.

Compared with existing general-purpose instances, c2a instances can be a cost-effective option for compute-intensive workloads. They can be used broadly for latency-sensitive workloads, batch processing workloads, media transcoding, high-performance web servers, high-performance computing (HPC), scientific modeling, dedicated game server and ad server engines, and many other applications that require high-performance compute capabilities.

Detailed specifications and pricing for c2a instances are as follows.

  • Processor: 3rd Gen AMD EPYC 7003 series 7643
  • Frequency: Up to 3.6 GHz
  • vCPU count: Up to 96
  • Memory: Up to 192 GB
  • Network bandwidth: Up to 25 Gbps
Instance typevCPUMemory (GiB)Network bandwidth (Gbps)Hourly priceMonthly price (based on 30 days)
c2a.large2    4      Up to 10          KRW 82KRW 59,040    
c2a.xlarge4  8Up to 10   KRW 164KRW 118,080
c2a.2xlarge8  16Up to 10   KRW 327KRW 235,440
c2a.4xlarge16  32Up to 10   KRW 655KRW 471,600
c2a.8xlarge32  64Up to 10   KRW 1,309KRW 942,480
c2a.12xlarge48  9612.5   KRW 1,964KRW 1,414,080
c2a.16xlarge64  12812.5   KRW 2,618KRW 1,884,960
c2a.24xlarge96  19225   KRW 3,928KRW 2,828,160

For more information, see the Compute-optimized instances page.

We will continue working to provide safer and more convenient cloud services.

Thank you.