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Unlocking Engineering Observability with advanced IT analytics

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In this webinar, source{d} CEO Eiso Kant will introduce source{d} Enterprise Edition (EE), the data platform for the software development life cycle (SDLC), With built-in visualization, management capabilities and advanced analytic functions, source{d} EE provide IT executives with visibility into their software portfolio, engineering processes and workforce.

Learn how source{d} EE can help everyone in the IT organization to quickly get access to customizable analytic solutions for IT modernization and software compliance, cloud-native and DevOps transformation, engineering effectiveness, and talent management.

Published in: Technology
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Unlocking Engineering Observability with advanced IT analytics

  1. 1. July 2019 The Data Platform for your Software Development Life Cycle 1
  2. 2. 2 Agenda Industry Challenges source{d} EE Overview source{d} EE Solutions Demo Q&A
  3. 3. 3 Industry challenges
  4. 4. 4 7 out of 10 enterprise IT initiatives fail *McKinsey Report 2018
  5. 5. IT projects fail because executives have no visibility Lack of visibility comes from: Lorem ipsm congue Codebases High Risk of Failure Processes Teams Open Source Proprietary FTEs Outsourcing Large volume, variety, intricacy and versions of data Source code, software development and business data are spread across many silos Retrieving, storing and querying at scale is hard Shadow IT and “Dark Data” due to developer frustration with legacy systems & slow processes
  6. 6. 6 source{d} EE overview
  7. 7. 7 source{d} gives IT executives visibility into codebases, IT teams & processes If you can’t measure it, you can’t improve it. – Peter Drucker
  8. 8. From “dark data” to enlightened decisions Center scattered codebases into a single source of truth. Make wiser use of existing technology, reduce duplication of software assets. Accelerate IT modernization & Cloud Migration. Identify patterns, drive innovation and collaboration in your organization TEAMS PROCESSES CODEBASES Quickly assess your talent pool, knowledge gaps and effectively manage your teams with data-driven KPIs 8 Hard data, accurate information Data-driven decision making
  9. 9. Make better decisions based on insights from state-of-art dashboards, graphs, charts and tables 9 The source{d} platform for the SDLC TIMELY Get up-to-date insights into your Software Development Life Cycle at the right time SCALABLE AI-POWERED Leverage Machine Learning on Code to provide advanced and predictive analysis ACTIONABLE Process billions of lines of code & Engineering data from thousands of developers
  10. 10. 10 One platform from CIO to IT Managers Easy to install, source{d] works where you do! From version control management systems to new data sources or hosting options, you choose what platforms to use & add. EASY TO SETUP & CUSTOMIZE Built-in dashboard templates abstract away the complexity of analyzing SDLC data history at scale and automatically suggest what metrics to look at for a set of key IT initiatives. AUTOMATED STANDARDIZATION With robust role-based access control and advanced security and monitoring functionality, source{d} is designed for enterprise-wide adoption. SECURE & COMPLIANT DASHBOARDS SQL LAB UNIVERSAL ASTs Planned announcement on 6/24
  11. 11. Powerful analyses on demand Universal ASTs* enable deep & wide analyses across programming languages through semantic concepts 11 Quickly answer your most complex questions Empower your teams through SQL queries ACCESSIBLE LANGUAGE AGNOSTIC source code UASTs ← write questions get answers → * Universal ASTs were developed by source{d} as a language agnostic layer on top of source code, analyze source code independent of the diversity of programming languages
  12. 12. 12 Strong open-source & industry leadership 15.5K+ stars 2.5K+ forks 10+ Popular Open Source Projects (go-git, Babelfish, Gitbase, etc) 500+Machine Learning on Code community members GitHub & Community Metrics Industry recognition Top Open Source Users
  13. 13. Apache Superset GitbaseBabelfish SivaGo-GitBorgesRoversData Retrieval Data Analysis Data visualization HerculesGemini Enterprise Mgmt Apache Spark Kubernetes Helm Infrastructure DeploymentData Processing Source{d} Enterprise Edition Stack
  14. 14. 14 source{d} EE Solutions
  15. 15. Solving key enterprise challenges for IT execs 1 5 Chief Architects, VP of IT Applications IT Modernization & Compliance Chief Architects, Head of Continuous Delivery Cloud Native & DevOps Transformation Head of Developer Experience, VP of IT Operations Engineering Effectiveness & Efficiency VP and Director of Engineering Talent Assessment & Management
  16. 16. IT Modernization & Compliance 16 Technical Debt Assessment Legacy Languages/ Framework analysis, Unmaintained code analysis, Code maintenance hotspots, Arguments and methods count, File and method lengths Software Governance, Risk & Compliance Share of apps on preferred tech, Top Offending Technology Components, compliance report / Score by entities, teams, repos, development guidelines, Top detected problems and overridden rules Application Portfolio Management Share of similar / duplicate code between teams/repository, Legacy vs Microservices Apps categorization, Complexity / Health scores for major applications
  17. 17. DevOps & Cloud Native Transformation 17 Vendor Management Top Vendors by category, Fastest Growing / Declining Vendors, Share of adoption of key technologies broken down by team Dependency / Change Management Dependency classification breakdown, Top internal vs external imports, 3rd party imports heatmap Cloud Migration Share of repositories with a Dockerfile, Share of repositories containing Helm charts, Share of API code per repository
  18. 18. Engineering Effectiveness & Efficiency 18 Overall Engineering Effectiveness Top Vendors by category, Fastest Growing / Declining Vendors, Share of adoption of key technologies broken down by team Code Review Activity Code Review Engagement, Time to First Comment, Number of Comments / Reviewers, Documentation / Test Coverage Pull / Merge Request Activity Average time to merge, Time to merge based on code size, Most active repositories, Pull request breakdown by topic
  19. 19. Talent Assessment & Management 19 Expertise Management Top Areas of Expertise, Fastest Growing / Declining Expertise, Code ownership, Expertise Misalignment Innersource & Collaboration Per-project code ownership plots, Co-occurrence of developers across different projects, Share of repositories with missing documentation Resource Allocation & Attrition Internal / External Attrition or Churn Rates, Cost breakdown by activity, Workload Balance
  20. 20. 20 Demo!
  21. 21. Benefits-funded ROI (reduction in costs & risk) No. of developers: 5,000 - No. of Developer hired / year: 300 Average salary per developer: $110K - Onboarding time: 40h / Dev ✔ $11.6M / year in Developer Productivity - Given a 5% productivity gain and 20% reduction in Onboarding time ✔ Savings on talents Acquisition & Retention - As Tech stack & Engineering Culture becomes more appealing, overall Developer morale is higher. ✔ Bonus - Shifting IT budget from maintenance to innovation, from CapEx to OpEx, Faster Time to market, etc A single developer spends on average 32 Hours a month fixing errors and replicating issus Average 2019 Salary for a Developer in the US $110,000 $46,000 The annual developer cost of bad code & technical debt. 899 Hours* The time a developer spends per year on errors and code issues. * Sources: Evans Data Corp, CIA Factbook, Stripe research 21
  22. 22. 22 source{d} CE vs EE Community Enterprise Single node code analysis ✔ ✔ Distributed Analysis Multi-node on Cloud/on Prem. ✘ ✔ Advanced built-in analyses ✘ ✔ Extensibility 3rd-party integrations ✘ ✔ External data sources ✘ ✔ User-defined functions ✘ ✔ Security & Governance SSO & RBAC ✘ ✔ Monitoring & Audit Logging ✘ ✔ Code Retrieval & Storage Code discovery ✘ ✔ Retrieval & storage backends ✘ ✔ Deployment options ✘ ✔ Support & Certification Enterprise grade support and SLA ✘ ✔ ✔ Security & Compliance ✔ Scale & Performance ✔ Support & SLAs ✔ Enterprise Training ✔ Flexible deployment / hosting options ✔ Advanced queries and UDFs
  23. 23. Business Intelligence for the Software Development Life Cycle sourced.tech blog.sourced.tech github.com/src-d

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