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Harness – Enabling Organizations to Deliver Software Faster, With Visibility and Control

Harness – Enabling Organizations to Deliver Software Faster, With Visibility and Control

Software delivery has come a long way in the last 10 years. Many organizations have scrapped the restrictive waterfall model in favor of collaborative approaches that enable them to build faster, change features midstream and deliver updates continuously. But today’s delivery processes aren’t as efficient as they could be. They’re still fraught with bottlenecks, mistakes and confusion. Teams are using too many tools that perform specific functions and don’t tie together well. What’s needed is a more holistic approach to the management of software delivery. That approach is outlined in a new model called Software Delivery Management (SDM). It’s more than just an industry term. It’s a revolutionary new framework that outlines ways to remove the blockers that lead to inefficiencies – to connect the people, tools and processes that play key roles in software delivery.

Harness is a rapidly growing startup that is disrupting the software delivery market. They are building an intelligent software delivery platform that enables engineers to deliver software faster, with higher quality, and with less effort. The Harness Software Delivery Platform includes continuous integration, continuous delivery, feature flags and cloud cost management. The platform is designed to help companies accelerate their cloud initiatives as well as adoption of containers and orchestration tools like Kubernetes and Amazon ECS.

Software Delivery Now Made Simple and Secure

Continuous Delivery & GitOps: Eliminate scripting and manual deployments with declarative GitOps and powerful, easy-to-use pipelines. Empower your teams to deliver new features, faster – with AI/ML for automated canary and blue/green deployments, advanced verification, and intelligent rollback. Check all the boxes with enterprise-grade security, governance, and granular control powered by the Open Policy Agent. These deployment strategies are faster, safer, and more efficient. They also require a Kubernetes Ph.D. to manually set up without Harness. The company takes care of the setup so you can enjoy the benefits. Harness automatically detects bad deployments by applying machine learning to data and logs from observability solutions. It even gives you the option to roll back to the previous version automatically. No more staring at the console for hours. Continuous Verification helps to automate the release testing process through the use of unsupervised machine learning and integration with existing logging and APM solutions. This gives engineering teams the ability to verify risk and perform actions before moving to the next stage in a deployment.

Cloud Cost Management: Cloud cost management is a team sport. Harness CCM gives your relevant members of the organization the ability to interact and seamlessly make cloud management decisions together for everything from purchasing RIs or savings plans to assessing the impact of new policies on application performance, to tracking and eliminating unused resources. Correlate costs due to deployments, change in replica count, CPU or memory configurations, with cost events and specific line of code etc. Visualise detailed cost information by various constructs - projects, teams, business units, departments, etc. Receive periodic reports on cost and usage metrics that matter to you. Govern usage with custom budgets and precise spend forecasts and account for cost-showbacks/chargebacks. A thoroughly tagged cloud account is perfect, and mostly imaginary. Get cost information about your applications, services and environments without any manually tagging for everything you deploy via Harness Continuous Delivery.

Service Reliability Management: Your business doesn’t need to choose between deployment velocity and the reliability needs of a production-quality environment - get the benefits of both. Automatically run the right checks at the right stages of the pipeline (shift-left reliability) to deliver software faster with the confidence that it will be reliable. Reliability guardrails ensure that your best developers continue to deliver highly reliable software at high velocity while putting guardrails in place for other developers or sensitive projects. When development, deployment, and reliability teams define SLOs together, everyone wins. Say goodbye to finger-pointing, arguing about SLOs and Error Budget, and surprise deployment stoppages. Harness uses reliability guardrails and observability data to determine if deployments should proceed. Never track SLOs and Error Budgets manually in spreadsheets again. Harness tracks and charts them for you. Evolve the relationship between engineering and reliability to where both teams work in harmony to deliver software faster with the confidence that it will be reliable

Jyoti Bansal | Co-founder and CEO

He 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.

Mr. Bansal 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. He i is the lead inventor on 20+ US patents.

"Our mission is to enable every software engineering team in the world to deliver code reliably, efficiently and quickly to their users."

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