Harness, the Modern Software Delivery Platform™ company, provides a simple, safe and secure way for engineering and DevOps teams to rapidly release applications into production. Harness uses machine learning to detect the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight, giving engineers their weekends back. Harness Inc. is based in San Francisco. Chaos engineering helps organizations minimize unplanned downtime's financial and reputational impact. It also lets developers focus on software delivery rather than fire-fighting production incidents. Chaos experiments go beyond traditional unit, integration, and system tests and more closely represent random failures in a real-world production environment. This realistic environment provides insight into how systems behave, equipping teams to understand applications' and infrastructure weaknesses and proactively creating resilience to help prevent costly downtime. This blog will look closely at the product’s key capabilities to see how it helps teams solve these challenges.
Harness CE provides:
Implement chaos engineering using Harness’ SaaS, self-hosted, on-premises, or air-gapped deployments to align with your business and security requirements. Harness supports injecting experiments into multiple platforms and environments. The Enterprise ChaosHub is a catalog of advanced experiments with coverage across VMware, AWS, GCP, Azure, and a full range of Kubernetes chaos experiments. Chaos experiments enable users to manage, edit, schedule, and run experiments within the UI for improved collaboration. Harness provides the largest and most diverse chaos experiments available today, with many more added monthly.
Chaos Orchestration and Reliability Management
Chaos orchestration enables users to build a CE practice quickly by letting the Harness solution fill the gaps in the organization's knowledge, processes, and tools. Utilize Harness CE to train new and existing employees to level everyone up on software reliability. Roll out chaos engineering to the entire enterprise from a Git repository instead of waiting years to adopt the CE practice team by team. Start your entire enterprise on the chaos engineering practice to scale software reliability to every application. Leverage GitOps and CI/CD integrations to automate the complexity and meet developers where they are by providing declarative YAML files for chaos experiments that improve the developer experience. The GitOps feature enables you to configure a single source of truth for your chaos experiments and execute them directly from Git, allowing a vast scope of automation in CI/CD pipelines.
A team can manage reliability through the resilience score to define, measure, and tune each experiment to track resiliency over time and automate experiment results.
Steady State Measurement
Rather than have developers manually look at monitoring dashboards and have “eyes on glass” with multiple browser tabs open, Harness CE provides probes that can automate the experiment's measurement. Probes are editable checks you can define for any chaos experiment to measure an experiment's success and failure conditions. Chaos Probe examples include simple querying of application health checks and system steady state metrics. Harness provides declarative chaos experiments to define configuration in a code repository, version, and edit through automation. This declarative approach empowers developers to build and automate reliability in their code. Harness chaos engineering enables you to run faults in parallel (CPU fault + Memory fault) to mimic real-world events. In addition to this approach, you can run chaos experiments in parallel to model complex IT outages that often stem from multiple failure modes. Run various experiments on different targets to simulate cascading failure across more extensive sets of services. This ability enables you to cause a network disruption on one cloud provider’s availability zone and simultaneously run a resource exhaustion experiment, simulating traffic moving over to the redundant system. Lastly, you can abort an inflight experiment that causes an impact beyond the desired test expectation. Users can manually or automatically set up abort conditions using probes defined with the tested system's health metrics and automate recovery scripts.
Meet the leader behind the success of Harness
Jyoti Bansal, Co-Founder and CEO of Harness is a serial entrepreneur and a Silicon Valley technology visionary. Jyoti believes passionately in software’s ability to change the world for the better. In 2008, he founded AppDynamics, an application intelligence company that provides enterprises with real-time insights into application performance. Jyoti led the company as Founder & CEO for the first eight years and as Founder & Chairman for the last one year until its acquisition by Cisco for $3.7 Billion in January 2017. Jyoti has been a recipient of many leadership awards, including Forbes’ “Best Cloud Computing CEO to Work For”, and “Best CEO” by San Francisco Business Times at the Annual Tech & Innovation Award. He was named Ernst & Young Entrepreneur Of The Year™ for Northern California in 2016. Jyoti received his BS in Computer Science from the Indian Institute of Technology, Delhi. Prior to founding AppDynamics, Jyoti worked at various Silicon Valley startups as a software engineer and architect. Jyoti is the lead inventor on 20+ US patents.