Unresponsive is unacceptable

The big question we all need to ask...after trillions spent on cloud-native infrastructure, 
why are apps still experiencing responsiveness issues? Why are apps still suffering from these and other symptoms of non-responsiveness?
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Long RTO

lorem ipsum about DR/HA and end user expectations that any RTO other than zero is unwanted and unnecessary

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Latency variances

lorem ipsum about users in different locations experiencing different latency

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Upgrade downtime

lorem ipsum about blocking upgrades, the headache they cause for Ops and end users

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Slow release velocity
lorem ipsum about how agile is agile, waterfall, and the headache it causes for Ops

Responsive
by Design

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.

EXTERNAL EVENTS
workloads
Workloads
  • Spikes
  • Idleness
  • User Location
    • Elasticity

    Akka apps auto-scale to varying workloads while placing active-active replicas near users.

operations
DevOps
  • New Versions
  • Schema Changes
  • Maintenance
    • Agility

    Akka updates, rebalances and repartitions workloads to enable no-downtime maintenance events.

failures
Failures
  • Hardware
  • Network
  • Synchronization
    • Resilience

    Akka recovers, migrates and replicates workloads with 0/0 RTO/RPO to handle potential failures.

REACTIVE INSIDE

Distribute data, not the DB

Responsive by design, 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.

Why Akka Responsive Model-1
Why Akka Mobile Responsive Model

Top to bottom

Responsiveness for the Stack

Akka provides value for the entire app stack — delivering unmatched, benchmarked performance to scale your app from 0 to infinity, and back.

network
Network
Akka apps run near end users
100: global POPs available
6ms: p99 read latency
app
App
Akka apps self-cluster
100M: concurrent users
data
Data
Akka apps self-shard data
1.5M: IOPS, 97% read
8ms: p99 write latency
cpu
CPU
Akka apps handle parallel requests
1B: msgs/sec
250M actors/GB heap

Lower Costs

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.

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65% Lower Infrastructure Costs

Replaced DBs with OSS storage;
reduced ops headcount.

CUSTOMER STORY
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85% Reduction in Infrastructure Costs

Eliminated Redis licenses;
increased compute utilization 2X

CUSTOMER STORY

Stay Responsive
to Change.

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