Unresponsive is unacceptable
Apps that cannot adapt to changes in workload, maintenance events, and failures violate their SLAs, leading to subpar user experiences and unexpected downtime. Akka apps maintain responsibility for their own outcomes by adapting continuously, independent of their infrastructure bindings.
Long RTO
If your DR failover is measured in minutes, then your apps are not responsive.
Latency variances
If different users experience different latency, then your apps are not responsive.
Upgrade downtime
If deployments, infra upgrades, or schema changes block traffic, then your apps are not responsive.
Slow release velocity
If you cannot release continuously without disrupting users, then your apps are not responsive.
Adapt continuously
Elastic. Agile. Resilient.
Responsive apps react to inevitable and unexpected changes. Create certainty with apps that adapt to varying demand, changing requirements, and unpredictable events.
Akka apps implement the Reactive Principles – industry-accepted design guidelines for guaranteeing responsiveness.
Stay Responsive
Elastic
Akka apps auto-scale to varying workloads while placing multi-master replicas near users.
Agile
Akka updates, rebalances and repartitions workloads to enable no-downtime maintenance events.
Resilient
Akka recovers, migrates and replicates workloads to handle any potential failure.
Reactive Inside
Distribute data, not the db
Akka apps act as their own in-memory, durable databases that can change locations and recover from failures. They distribute logic and data together, to free the app from the limits of their infrastructure.
(un)Paralleled performance
Responsiveness for the app stack
Akka delivers unmatched, benchmarked performance to scale your app from zero to infinity, and back, while only consuming the resources necessary to get the job done.
Network
100: global POPs available
6ms: p99 read latency
App
100M: concurrent users
Data
1.5M: IOPS, 97% read
8ms: p99 write latency
CPU
1B: msgs/sec
250M actors/GB heap
Save money
Responsive apps cost less to operate. Scale infinitely and lower latency while eliminating infrastructure, ops and dev inefficiencies. The CFO may not understand Akka, but they will love it.
85% Reduction in Infrastructure Costs
Eliminated Redis licenses;
increased compute utilization 2X
65% Lower Infrastructure Costs
Replaced DBs with OSS storage;
reduced ops headcount.