Integrations

Analyze latency, server CPU, errors and more.

Track latency, server CPU, errors and more.

Monitor and analyze Aerospike key performance indicators including client connections, available memory, maximum cluster clock skew, and more...

See key performance indicators like CPU utilization, networking rates, reads and writes.

Monitor gateway errors, request latency, cache hits and misses.

Add data depth on query performance, connections, resource utilization and more.

Keep an eye on your AWS costs.

Get insights on index utilization, successful event counts and more.

Monitor index utilization, successful request count and more.

Track tables, schema and index metrics.

Track instance health, application requests and latency.

Monitor reads/writes, snapshots, I/O and more.

Bring key CPU, disk metrics and more into your platform.

Get metrics on container and resource status, utilization and more.

Keep an eye on burst credit balance, data reads and writes I/O.

Monitor and Analyze Amazon Elasticache key performance indicators, including cluster cache hit rate, cache node cache hits and misses, new connections and more...

Analyze CAS hits and misses, flush, get and set commands.

Keep an eye on cache hits and misses, replication lag and more.

Monitor cluster status, utilization, capacity and more.

Analyze bucket size, requests and more.

Track Lambda delivery, input processing and milliseconds behind.

Track incoming bytes, incoming records and more.

Analyze stream metrics and shard metrics, like usage.

Monitor put media latency, get media errors and more.

Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS.

Analyze query and load performance data.

View network utilization, storage IOPS, storage latency, disk queue length and more.

Keep and eye on health check metrics, SSL handshake times and more.

Track open, bounce and complaint rates.

Send SNS messages back and forth between your monitoring platform and Amazon SNS.

Analyze average message size, queue size and more.

Check on requests, bucket sizes and more.

Keep an eye on tunnel state, data in and data out.

Monitor session launch times, in-session latency, connections and more.

Dig deep into Java Virtual Machine garbage collection, heap size and usage, compaction and gossip performance.

Continually track key metrics on NameNodes, DataNodes, ResourceManagers, NodeManagers and more.

An open-source, distributed, versioned, non-relational database modeled after Google's Bigtable.

Measure request rate, response rate, request latency, and connection count.

Drill into data about available resources, used resources, registered frameworks, active agents and task states for master or agent nodes.

Improve visibility into response times, connections, percent in use and more.

ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.

Collects performance data from your Arista EOS systems and provides predictive analytics and real-time information.

Track classic Load balancers, application load balancers and network load balancers.

Analyze AWS Auto Scaling group and instance metrics.

Track classic Load balancers, application load balancers and network load balancers.

Monitor CMK expiration dates, usage and more.

Track run times, errors, invocation counts and more.

Analyze CPU, memory and load metrics.

Track CPU utilization, total throughput and memory utilization.

Track CPU utilization, total throughput and memory utilization.

Track CPU utilization, total throughput and memory utilization.

Analyze key UCS metrics like total throughput, memory usage, and ambient, memory unit, and more.

Get metrics on NetScaler health, performance and logs. Automate provisioning.

Analyze load index summaries, connection summaries, application/desktop summaries and connection failures.

Analyze load index summaries, connection summaries, application/desktop summaries and connection failures.

Track resource groups and clusters with metrics like relationships, view boxes, protection sources, protection policies, protection jobs, and more.

Really understand bucket and node performance. Drill down on query metrics like latency, prepared statements and requests.

This modern monitoring and analytics platform is currently in beta. To request an invitation: product.team@bluemedora.com.

Monitor and analyze Dell EMC Compute key performance indicators, including Power Supply, Power Supply Power, Amperage Probes, Average Memory Device Size, and more...

Analyze performance and configuration across node status, client connections, throughput and more.

Simplify performance tuning using metrics on CPU, memory, disk and more.

Designed for performance, optimized for efficiency and built for hybrid cloud while providing the ultimate in simplicity.

Access key metrics like utilization, latency and throughput to optimize performance.

Drill down into key performance metrics, such as percent busy, combined IOPs/throughput/latency, disk capacity and response time.

Aggregate key metrics like utilization, latency, throughput and more.

Track key metrics like utilization, latency, throughput and more.

Fully integrated, preconfigured, and pre-tested VMware hyper-converged infrastructure appliance family.

Analyze hardware status and failure, performance for volumes and more.

Understand container CPU, memory, network and disk performance and more.

Analyze Swarm request counts by service, top services, containers per host, CPU usage, container count, request time or request count.

Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.

Create a single view of your EHR and EMR applications and their supporting infrastructure.

Keep an eye on BIG-IP health and performance. Automate provisioning.

Analyze key metrics like CPU utilization like memory usage for web server, system, instance and application.

Inspect query execution times and job wait ratios.

Keep an eye on key cluster, disk, server, table and instance metrics.

Track the cost of your Google Cloud Services.

Dissect HDFS storage, YARN memory metrics and more.

Dive into write counts, read and write size.

Track details about Managed Zones and Resource Records.

Keep an eye on storage, network and IO at the namespace and domain levels.

Trend execution times, user memory, network egress and more.

Track dropped packets, interconnect capacity, sent and received errors and more.

Analyze latency, requests and response counts.

Aggregate data for CPU utilization, instance size, connections and more.

Get key metrics on CPU utilization, disk size, throughput and IOPS.

Observe push request latency, undelivered messages and byte costs by topic and subscription.

Track database and instance metrics like CPU utilization, session count, storage used and state.

Monitor key storage, network and jobs metrics.

Examine cluster and node pool status, container CPU and memory.

Stackdriver aggregates metrics, logs, and events from infrastructure, giving developers and operators a rich set of observable signals that speed root-cause analysis and reduce mean time to resolution.

Track key performance indicators like:
- Monthly Bytes Ingested
- Excluded Log Entry Count
- Metrics Throttled

Monitor and analyze Windows and Linux Host key performance indicators, including CPU idle utilization, interrupts, disk read size, transfer time, and more...

Track HPE 3PAR StoreServe health and performance. Automate provisioning.

Track cache hits, read and write throughput, compression ratio and more.

Description to come.

Monitor CPU temperature, fan status and port status.

Monitor CPU temperature, memory temperature, port status and fan status.

Monitor and analyze IBM Cloud key performance indicators, including Account Balance, Notification Occurrence Event Type, Average Daily Usage, Average Memory Usage, and more...

Analyze IBM Cloud Load Balancer key performance metrics.

Analyze key metrics for CDN, load balancers, appliances, direct link, DNS and network security.

Track key IBM Cloud Pricing metrics.

Analyze key metrics for IBM Cloud object, block, file and CDN storage.

Analyze IBM Cloud Virtual Servers key health and performance metrics.

Analyze CPU time, data reads, index writes, connections, active applications and more.

Enterprise-class storage system that helps organizations achieve better data economics by supporting the new large scale workloads that are critical to success.

Analyze IBM Tivoli health, performance, and capacity metrics.

Enables a computer to run Java programs as well as programs written in other languages that are also compiled to Java bytecode.

Keep an eye on CPU usage, storage IOPS, network IOPS and more.

Spot trends in node, container and pod metrics such as CPU and memory usage.

Run analytics on metrics like bytes received, port speed (bandwidth) and outbound packet discards.

Track number of processes, maximum processes, and health states for rack servers, chassis, fans, and power modules.

Track buffer pool size, slowlog entries and more.

Create a single view of your EHR and EMR applications and their supporting infrastructure.

Diagnose issues in your Batch account with access to metrics like Pool Create Events, Low-Priority Node Count and Task Complete Events.

Keep an eye on Blob storage capacity through BlogCapacity, BlobCount and ContainerCount metrics.

Monitor container and container group metrics like CPU usage, memory usage, requests and retries.

Track container CPU and memory performance, status and more.

Identify underutilized resources with insights into cost allocation and showbacks/chargeback.

Get insights on CPU, storage, connections and more.

Track CPU, memory, I/O and more.

Monitor and analyze Azure Databases key performance indicators, including Retry Wait, Retries, Elastic Pool CPU Usage, Log Write Usage, and more...

Analyze request, throughput, message and connection metrics at the namespace and entity level.

Evaluate file capacity using FileCapacity, FileCount and FileShareCount metrics.

Dashboard and alert based on metrics that include number of function invocations, execution time, and success rate.

View cluster specific logs and metrics for Hadoop, HBase, Kafka, Spark and Storm.

Trend data throughput, packets routed, VIP availability.

Get richer debugging details about your logic apps.

Track packet capture metrics, connection monitor status, average round-trip time and more.

Troubleshoot dropped notifications.

Monitor multi-cloud and hybrid cloud environments using this cloud-based IT management platform.

Identify queue capacity trends using metrics like QueueCapacity, QueueCount and QueueMessageCount.

Monitor Hits and Misses, Gets and Sets, Connections, Total Commands and more.

Understand key relationships between your Azure services.

Collect metrics surrounding search latency, queries per second (QPS) and throttled search queries.

Keep an eye on concurrent workers, concurrent sessions, read/write operations and more.

Analyze usage trends, trace requests and diagnose issues at the service, account, resource level. The BindPlane Dimensional Data stream includes access metrics, capacity metrics, transaction metrics and more.

Monitor and alert on function, input, job, output and more

Track table capacity using metrics like TableCapacity, TableCount and TableEntity Count.

Connect the dots between endpoints and VMs using metrics on query count, status and more.

Add visibility for CP, DTU, eDTU and DWU usage, concurrent session and in-memory OLTP sessions.

Improve visibility into the behavior of individual VMs, as well as scale sets.

Enables many types of resources, such as Azure Virtual Machines (VM), to securely communicate with each other, the internet, and on-premises networks.

Track availability state, average response time, http error count and requests.

Track CPU usage, storage I/O bottlenecks, network IOPS and virtual machine organization across layers.

Analyze disk space and capacity, CPU usage, cluster state, nodes and query execution time.

Expose key performance data on processing time, memory utilization, SQL pages, network KB and more.

Bring together key metrics and logs on operations counters, connections, indexes, asserts, network, page faults and more.

Drill into key performance data, like sessions, waits and tablespace.

Access key metrics and capacity definitions like calculated CPU capacity, disk capacity, memory capacity, host and system CPU or memory.

Analyze clusters, systems, storage virtual machines, volumes, LUNs, disks and more. Abstract and analyze your NetApp ONTAP logs.

Expose key metrics on maximum IOPS, IOPS utilization, group IOPS utilization, volume group capacity and dynamic disk pool subscription.

Analyze CPU, memory capacity and relationships between Cisco UCS, Cisco networking and NetApp storage.

Collect metrics on throughput, utilization, volume reads/writes, IOPS and more.

Collect metrics on throughput, utilization, volume reads/writes, IOPS and more.

Collects performance data from your network devices and provides predictive analytics and real-time information.

Monitor application and infrastructure performance using this powerful platform.

Add visibility to Nutanix availability, capacity, latency, throughput, IOPS and more.

Improve troubleshooting and elevate performance access key metrics around I/O, buffer cache hit ratio.

Get visibility across conventional IT, private clouds and the Oracle Cloud using this management platform.

Analyze performance on node status, CPU utilization, session utilization and more.

Access key metrics like used memory, dropped messages and thread connections.

Dive into indexes and table space, query performance, disk space and VACUUM functions.

Get insights on thin provisioning, snapshot capacity, reads, writes, IOPS and latency.

Monitor and analyze RabbitMQ key performance indicators, including Cluster Channels, Connections, Exchanges, Node Average Erlang Processes Waiting, and more...

Aggregate key metrics like average response time, active connection count, wait count, percent in use and more.

Track memory, connections, RDB and AOF disk storage metrics and more.

Access nearly 3,000 metrics for visibility into your SAP instances, hosts and landscape.

Monitor and analyze SAP Application Server key performance indicators, including Additional Capacity Available, Available Capacity consumed,Idle, Memory Bottleneck Indicator, Buffer Cache, Cache Hits memory, and more...

Understand abnormal use, peak use times and average use of SAP HANA.

This IT Operations Analytics platform is currently in beta. Request an invitation: product.team@bluemedora.com

Transform old, manual ways of working into modern digital workflows.

This cloud monitoring and alerting solution platform is currently in beta. To request an invitation: product.team@bluemedora.com.

Gather data and logs for nodes, VLAN nodes, fibre channel units, fibre channel ports, fibre sensors and more.

Monitor and analyze Varnish key performance indicators, including Admin Health, Backend Requests, Connections Failed, Piped Data from and To backend, Probe Health, and more...

Track CPU, disk and memory utilization, disk read/write throughput, disk total capacity, ballooned memory and more.

Monitor and manage your multi-cloud environment using this platform’s predictive analytics capabilities.

Automate log management in hybrid cloud environments.

Simplify the automation of complex IT tasks using this orchestration platform.

This real-time monitoring and analytics platform is currently in beta. To request an invitation: product.team@bluemedora.com.

Get insight on VM CPU, storage capacity, network throughput and more.