Building more reliable financial systems with Chaos Engineering

The financial services industry has built in more capital buffers to prevent market shocks from bringing another economic collapse. In addition to these financial controls, many banks and personal trading platforms have begun building resiliency into information technology shocks. Despite these new precautions, we’re still seeing outages today, preventing customers from depositing and withdrawing their money, completing transactions, and executing trades during key events.

Grubhub and JPMC shift reliability testing left at Chaos Conf 2020

Gremlin’s Chaos Conf is always an exciting event, bringing together leaders at the forefront of Chaos Engineering practices. This year was no exception, moving beyond defining Chaos Engineering to more advanced adoption and best practices discussions.

Improve M&A success rates by testing for system reliability

Coming out of recessions, merger and acquisition volume typically picks up as lower interest rates drop the cost of capital and Corporate Development teams begin executing on the strategies they’ve developed during the holding periods. This year has been no exception, with $350 billion spent on tech acquisitions to date. This period is a boon for entrepreneurs seeking exits and for companies trying to expand their businesses into new markets or increase market share.

How to make an ROI calculator and impress finance (an engineer’s guide to ROI)

Think back to the last time you wanted to purchase software for your organization. The software solves real problems and makes your team’s life easier. Then, finance delays or rejects your proposal. What’s going on?

Reliability testing: Definition, history, methods, and examples

Reliability testing is the process of projecting and testing a system’s probability of failure throughout the development lifecycle in order to plan for and reach a required level of reliability, target a decreasing number of failures prior to launch, and to target improvements after launch. That is a difficult mission, especially as systems increase in complexity. The purpose of reliability testing is not to achieve perfection, but to reach a level of reliability that is acceptable before releasing a software product into the hands of customers.

Visualize Chaos Experiments in Grafana with Gremlin webhooks

Use Gremlin webhooks to send events to Grafana for displaying annotations and alerts, and correlate Chaos Experiments with impact

Use Gremlin Webhooks to sync Blazemeter load tests

Launch a Blazemeter load test with your chaos experiment using Gremlin's webhooks.

Launch and halt Gremlin Chaos Engineering attacks and load testing from JMeter

Use JMeter to generate traffic while launching a Gremlin chaos engineering attack using API calls.

Replicate and monitor CoreDNS issues with Gremlin and Datadog

Replicate common CoreDNS failures like latency or lost nodes with Gremlin, while monitoring for issues with Datadog, to reduce your time to recovery.

How to safely run experiments with Gremlin’s Status Checks and Datadog Monitoring

Using Gremlin Status Checks with Datadog endpoints allows you to safely run and halt attacks without human intervention.

Prepare for DNS provider outages with Gremlin and Datadog

DNS providers are highly reliable, but even they go down sometimes. Prepare your technology and teams for a DNS provider outage using Gremlin and Datadog.

Highlight Chaos Engineering experiments with AppDynamics and Gremlin webhooks

Visualize Chaos Engineering in AppDynamics using Gremlin webhooks

Correlate Chaos Engineering and system impact using Gremlin webhooks and New Relic

Use Gremlin webhooks to correlate the timing of attacks with the impact in New Relic to quickly verify reliability with Chaos Engineering