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Overview

1: Server Type
2: Monitoring Metrics
3: ServiceWatch Metrics

Service Overview

Event Streams provides fully managed creation and configuration of the open source Apache Kafka for large-scale, massive message data processing. Samsung Cloud Platform automates the creation and configuration of Apache Kafka through a web-based Console, and users can configure the main components of Apache Kafka, such as Broker, Zookeeper, and AKHQ, in a single or cluster form.

Event Streams cluster is composed of multiple Broker nodes, and Brokers can be installed from a minimum of 1 up to a maximum of 10, typically installed with 3 or more. Zookeeper can be installed separately to manage the distributed Brokers, and if not installed separately, it is installed together on the Broker node. Additionally, a tool for managing Kafka called AKHQ (Apache Kafka HQ) is provided, allowing users to manage cluster operations through it.

Provided Features

Event Streams provides the following features.

Auto Provisioning (Auto Provisioning): You can configure and set up an Apache Kafka cluster via the UI.
Operation Control Management: Provides a function to control the status of running servers. In addition to starting and stopping the cluster, restarting is possible to apply configuration values.
AKHQ Provision: AKHQ, a tool that can manage Kafka, is provided, allowing users to manage and monitor clusters through it.
Add Broker node: If expansion is required to improve the cluster’s performance and stability, you can add nodes with the same specifications as the existing Broker nodes.
Parameter management: Performance improvement and security-related configuration parameter setting and modification are possible.
Monitoring: CPU, memory, and performance monitoring information can be checked via Cloud Monitoring and Servicewatch.

Components

Event Streams provides pre-validated engine versions and various server types according to the open source support policy. Users can select and use them according to the scale of the service they want to configure.

Engine Version

The engine versions supported by Event Streams are as follows.

Technical support can be used until the supplier’s EoTS (End of Technical Service) date, and the EOS date when new creation is stopped is set to six months before the EoTS date.

According to the supplier’s policy, the EOS and EoTS dates may change, so please refer to the supplier’s license management policy page for details.

Apache Kafka: https://docs.confluent.io/platform/current/installation/versions-interoperability.html

Provided Version	EoS Date	EoTS Date
3.8.0	2026-06 (scheduled)	2026-12-02
3.9.1	2026-09 (scheduled)	2027-02-19

Table. Engine versions provided by Event Streams

Server Type

The server types supported by Event Streams are as follows.

For detailed information about the server types provided by Event Streams, see Event Streams Server Types.

Standard ess1v2m4

Category	Example	Detailed description
Server Type	Standard	Provided Server Types Standard: Standard specifications (vCPU, Memory) commonly used High Capacity: Large server specifications of 24 vCore or more
Server Specifications	ess1	Provided server specifications ess1, ess2: Standard specifications (vCPU, Memory) configuration commonly used esh2: Large-capacity server specifications Provides servers with 24 vCores or more
Server specifications	v2	Number of vCores v2: 2 virtual cores
Server Specifications	m4	Memory Capacity m4: 4GB Memory

Table. Event Streams server type components

Preceding Service

This is a list of services that must be pre-configured before creating the service. Please refer to the guide provided for each service for details and prepare in advance.

Service Category	Service	Detailed Description
Networking	VPC	A service that provides an independent virtual network in a cloud environment

Table. Event Streams Preceding Service

1 - Server Type

Event Streams server type

Event Streams provides a server type composed of various combinations such as CPU, Memory, Network Bandwidth, etc. When creating Event Streams, Apache Kafka is installed according to the selected server type suitable for the purpose of use.

The server types supported in Event Streams are as follows.

Standard ess1v2m4

Classification	Example	Detailed Description
Server Type	Standard	Provided server type distinction Standard: Composed of standard specifications (vCPU, Memory) commonly used High Capacity: Server specifications with higher capacity than Standard
Server Specifications	ess1	Classification of provided server type and generation ess1: s means general specifications, and 1 means generation esh2: h means large-capacity server specifications, and 2 means generation
Server Specification	v2	Number of vCores v2: 2 virtual cores
Server Specification	m4	Memory Capacity m4: 4GB Memory

Table. Event Streams server type formats

Reference

Please select the server type by checking the node’s minimum specifications as follows.

Division	vCPU	Memory
Broker	2 vCore	4 GB
Zookeeper	1 vCore	2 GB

ess1 server type

The ess1 server type of Event Streams is provided with standard specifications (vCPU, Memory) and is suitable for various database workloads.

Up to 3.3Ghz Intel 3rd generation (Ice Lake) Xeon Gold 6342 Processor Supports up to 16 vCPUs and 64 GB of memory
Up to 12.5 Gbps networking speed

Classification	Server Type	vCPU	Memory	Network Bandwidth
Standard	ess1v1m2	1 vCore	2 GB	Up to 10 Gbps
Standard	ess1v2m4	2 vCore	4 GB	Up to 10 Gbps
Standard	ess1v2m8	2 vCore	8 GB	Up to 10 Gbps
Standard	ess1v4m8	4 vCore	8 GB	Up to 10 Gbps
Standard	ess1v4m16	4 vCore	16 GB	Up to 10 Gbps
Standard	ess1v8m16	8 vCore	16 GB	Up to 10 Gbps
Standard	ess1v8m32	8 vCore	32 GB	Up to 10 Gbps
Standard	ess1v16m32	16 vCore	32 GB	Up to 12.5 Gbps
Standard	ess1v16m64	16 vCore	64 GB	Up to 12.5 Gbps

Table. Event Streams server type specification - ess1 server type

ess2 server type

The ess2 server type of Event Streams is provided with standard specifications (vCPU, Memory) and is suitable for various database workloads.

Up to 3.2GHz Intel 4th generation (Sapphire Rapids) Xeon Gold 6448H Processor
Supports up to 16 vCPUs and 64 GB of memory
Up to 12.5 Gbps networking speed

Classification	Server Type	CPU vCore	Memory	Network Bandwidth(Gbps)
Standard	ess2v1m2	1 vCore	2 GB	Up to 10 Gbps
Standard	ess2v2m4	2 vCore	4 GB	Up to 10 Gbps
Standard	ess2v2m8	2 vCore	8 GB	Up to 10 Gbps
Standard	ess2v4m8	4 vCore	8 GB	Up to 10 Gbps
Standard	ess2v4m16	4 vCore	16 GB	Up to 10 Gbps
Standard	ess2v8m16	8 vCore	16 GB	Up to 10 Gbps
Standard	ess2v8m32	8 vCore	32 GB	Up to 10 Gbps
Standard	ess2v16m32	16 vCore	32 GB	Up to 12.5 Gbps
Standard	ess2v16m64	16 vCore	64 GB	Up to 12.5 Gbps

Table. Event Streams Server Type Specifications - ess2 Server Type

esh2 server type

The esh2 server type of Event Streams is provided with high-capacity server specifications and is suitable for database workloads for large-scale data processing.

Up to 3.2GHz Intel 4th generation (Sapphire Rapids) Xeon Gold 6448H Processor
Supports up to 32 vCPUs and 128 GB of memory
Up to 25Gbps networking speed

Division	Server Type	vCPU	Memory	Network Bandwidth
High Capacity	esh2v32m64	32 vCore	64 GB	Up to 25 Gbps
High Capacity	esh2v32m128	32 vCore	128 GB	Up to 25 Gbps

Table. Event Streams server type specification - esh2 server type

2 - Monitoring Metrics

Event Streams Monitoring Metrics

The table below shows the performance monitoring metrics of Event Streams that can be checked through Cloud Monitoring. For detailed Cloud Monitoring usage instructions, refer to Cloud Monitoring guide.

For server monitoring metrics of Event Streams, refer to Virtual Server Monitoring Metrics guide.

Performance Item	Description	Unit
AKHQ State [PID]	AHKQ process PID	PID
Connections [Zookeeper Client]	Number of ZooKeeper connections	cnt
Disk Used	datadir usage amount	bytes
Failed [Client Fetch Request]	Number of failed client Fetch request processing	cnt
Failed [Produce Request]	Number of failed Producer request processing	cnt
Incomming Messages	Number of messages received by Broker	cnt
Instance State [PID]	kafka process PID	PID
Kibana state [PID]	Kibana process PID	PID
Leader Elections	Number of Leader Election occurrences	cnt
Leader Elections [Unclean]	Number of Unclean Leader Election occurrences	cnt
Log Flushes	Number of log flush occurrences	cnt
Network In Bytes	Bytes received by all Topics	bytes
Network Out Bytes	Bytes sent by all Topics	bytes
Rejected Bytes	Bytes rejected by all Topics	bytes
Request Queue Length	Request queue size	cnt
Shards	Cluster shard count	cnt
Zookeeper Sessions [Closed]	ZooKeeper closed sessions per second	cnt
Zookeeper Sessions [Expired]	Zookeeper expired sessions per second	cnt
Zookeeper State [PID]	zookeeper process PID	PID

Table. Event Streams Monitoring Metrics

3 - ServiceWatch Metrics

Event Streams sends metrics to ServiceWatch. The metrics provided by basic monitoring are data collected at a 1‑minute interval.

Reference

To check metrics in ServiceWatch, refer to the ServiceWatch guide.

Basic Indicators

The following are the basic metrics for the namespace Event Streams.

OS Basic Metrics

Category	Performance Item	Detailed Description	Unit
CPU	CPU Usage	CPU Usage Rate	Percent
Disk	Disk Usage	Disk Usage Rate	Percent
Disk	Disk Write Bytes	Write capacity on block device (bytes/second)	Bytes/Second
Disk	Disk Read Bytes	Amount read from block device (bytes/second)	Bytes/Second
Disk	Disk Write Request	Number of write requests on block device (requests/second)	Count/Second
Disk	Disk Read Requests	Number of read requests on block device (requests/second)	Count/Second
Disk	Average Disk I/O Queue Size	Average queue length of requests issued to the block device	None
Disk	Disk I/O Utilization	Proportion of time the block device actually processes I/O operations	Percent
Memory	Memory Usage	Memory Usage Rate	Percent
Network	Network In Bytes	Received capacity on the network interface (bytes/second)	Bytes/Second
Network	Network Out Bytes	Data transmitted from network interface (bytes/second)	Bytes/Second
Network	TCP Connections	Total number of TCP connections currently established correctly	Count/Second
Network	Network In Packets	Number of packets received on the network interface	Count
Network	Network Out Packets	Number of packets transmitted from the network interface	Count
Network	Network In Dropped	Number of packet drops received on the network interface	Count
Network	Network Out Dropped	Number of packet drops transmitted from the network interface	Count
Network	Network In Errors	Number of packet errors received on the network interface	Count
Network	Network Out Errors	Number of packet errors transmitted from the network interface	Count

Table. OS Basic Metrics

Event Streams Basic Metrics

Category	Performance Item	Detailed Description	Unit
Activelock	Active locks	Number of active locks	Count
Activesession	Active sessions	Number of active sessions	Count
Activesession	Connection usage	DB connection session usage rate	Percent
Activesession	Connections	DB connection session	Count
Activesession	Connections(MAX)	Maximum number of connections that can be attached to the DB	Count
ProxySQL	Proxy Uptime	Express the proxy’s uptime in seconds	Seconds
ProxySQL	Backend connections(CONNECTED)	Number of sessions connected to the Proxy server	Count
ProxySQL	Client connections connected	Number of client sessions currently connected to the proxy	Count
ProxySQL	Queries routed	Number of queries routed to backend server	Count
ProxySQL	Backend connections(ACTIVE, IDLE)	Number of Active / idle connections per Endpoint	Count
ProxySQL	Backend server status	Backend server status 1 - Online 2- SHUNNED 3 - OFFLINE_SOFT 4 - OFFLINE_HARD 5 - SHUNNED_REPLICATION_LAG	None
ProxySQL	Backend connection check	Backend server’s connection success/failure check	Count
State	Instance state	Scalable DB status up/down check	Count
State	Slave behind master seconds	Replica’s delay amount (unit: seconds)	Seconds
Tablespace	Tablespace used	Tablespace usage	Megabytes
Tablespace	Tablespace used(TOTAL)	Tablespace usage (total)	Megabytes
Transactions	Slow queries	Number of slow queries	Count
Transactions	Transaction time	Long Transaction time	Seconds
Transactions	Wait locks Lock	Number of waiting sessions	Count

Table. Event Streams basic metrics