--- marp: true theme: gaia --- # CNCF Survey 2019 SDN x Cloud Native Meetup #27 April 20, 2020 *Ernest Chiang, PAFERS Tech* --- # About Me ![bg left 60%](../../img/ec/ernest-chiang-src-2019-2000x2996.jpg) *Ernest Chiang* **AWS** Community Hero. **Doing** product and technology integration in fitness industry. **Worked** on process integration engineering in semiconductor industry. --- # Why? How? What? - Why - How - What --- # Why? How? What? - Why - objectives, goals, strategies, ... - How - aware, know, learn, evaluate, compare, adopt, implement, ... - What - properties, attributes, meta-data, characteristics, ... --- # Published on March 4th ![h:300](./images/cncf-survry-blog-2020-0304.jpg) - https://www.cncf.io/blog/2020/03/04/2019-cncf-survey-results-are-here-deployments-are-growing-in-size-and-speed-as-cloud-native-adoption-becomes-mainstream/ --- # Outline - Survey Methodology & Respondents -- - Application Development & Delivery - Containers - Cloud Native Tools - CNCF Technologies - Kubernetes --- # Survey Methodology & Respondents --- # Survey Methodology & Respondents (1/5) - during September and October 2019 - received 1,337 responses --- ![bg left 90%](./images/p2-geo-location.jpg) # SMR (2/5) - There was a nearly even proportion of respondents from Europe (37%) and North America (38%), followed by Asia (17%). --- ![bg left 90%](./images/p2-size-of-org.jpg) # SMR (3/5) - The majority of respondents (71%) were from organizations with at least 100 employees, the largest portion of these coming from enterprises with more than 5,000 employees (30%). --- ![bg left 90%](./images/p2-industry.jpg) # SMR (4/5) - Two-thirds of the respondents were in the software and technology industry, with the remainder coming from other professional service industries. --- ![bg left 90%](./images/p2-job-func.jpg) # SMR (5/5) - The top job functions were software architect (41%), DevOps manager (39%), and back-end developer (24%). --- # Application Development & Delivery Release cycles continue to accelerate --- ![bg left 90%](./images/p3-release-cycle.jpg) # App D&D (2/6) - Those with daily release cycles increased from 15% in 2018 to **27%**, and weekly release cycles have increased 20% to **28%**. --- ![bg left 90%](./images/p3-manual-automated.jpg) # App D&D (3/6) - Hybrid approaches, using a combination of manual and automated tools, are up to **41%** in 2019 compared to 25% last year. - Doing releases manually has dropped to **14%** from 27%. --- # Application Development & Delivery (4/6) - This can be attributed to a rise in available CI/CD tools, the most popular being **Jenkins (58%)**, followed by **GitLab CI/CD (34%)**, and **CircleCI (13%)**. - These tools are also becoming more reliable. Less than **11%** of respondents indicated they built custom scripts this year, down from 26% in 2018. --- ![bg left 90%](./images/p4-check-in.jpg) # App D&D (5/6) - Comparing the data from 2019 and 2018, respondents are checking in code *less frequently*. --- ![bg left 90%](./images/p4-fleet.jpg) # App D&D (6/6) - At the same time, the number of machines in an organization’s fleet *continues to increase*. --- ![bg left 90%](./images/p5-where.jpg) # Where Is Your Cloud? (1/1) - Vendor lock-in strategy may diff? - Enterprise - SME - Start-up --- # Containers Most notably, the use of containers in production *increased* significantly. --- ![bg left 90%](./images/p5-use-of-container.jpg) # Containers (2/5) - This year, **84%** of respondents are using containers in production, an impressive jump from 73% in 2018, and from 23% in our first survey in 2016. - `Hint`: Ref to SMR (4/5) Industry. --- ![bg left 90%](./images/p6-container-numbers.png) # Containers (3/5) - As organizations are trusting their production workloads to containers, they are also using *more* of them. --- ![bg left 90%](./images/p6-container-management.jpg) # Containers (4/5) - According to CNCF’s Cloud Native Landscape, there are more than 109 tools to manage containers, but **89%** are using different forms of Kubernetes. - `Hint`: Ref to SMR (4/5) Industry. --- ![bg left 90%](./images/p7-challenges.jpg) # Containers (5/5) - *Cultural* challenges with the development team remain the top challenge in using/deploying containers (43%). - `Hint`: Cultural changes. --- # Cloud Native Tools While *use in production* is still rather low with **18%** of those who responded indicating they use a service mesh project, **47%** are *evaluating* the use of a service mesh. --- ![bg left 90%](./images/p7-service-mesh.jpg) # CN Tools (2/6) ### Service Mesh - **Istio** (69%) and **Linkerd** (64%) were the top two tools being evaluated, suggesting they will see significant increases in use in production in coming years. --- ![bg left 90%](./images/p8-storage.jpg) # CN Tools (3/6) ### Storage - Top-3 are public cloud storage projects. - More than half of respondents were evaluating **Rook** – more than any other project. --- ![bg left 90%](./images/p8-serverless.jpg) # CN Tools (4/6) ### Serverless - Of those who are using serverless, **80%** use a hosted platform and **20%** use installable software. --- ![bg left 90%](./images/p9-hosted-serverless.jpg) # CN Tools (5/6) ### Hosted Serverless Platforms - Of the hosted platforms in use, the top tool is **AWS Lambda** (53%). **Google Cloud Functions** (18%) and **Azure Functions** (14%) are a distant second and third. --- ![bg left 90%](./images/p9-installable-serverless.jpg) # CN Tools (6/6) ### Installable Serverless Platforms - Of the installable software in use, **Knative** is the tool of choice (34%), followed by **OpenFaaS** (15%) and **Kubeless** (11%). --- # CNCF Technologies 99% of respondents indicated they are using or evaluating at least one graduated or incubating CNCF technology in production. --- ![h:500](./images/p10-graduated.jpg) - **Prometheus** and **CoreDNS** also saw considerable jumps in use in production. --- ![w:1150](./images/p10-incubating.jpg) - For incubating projects, **Helm** saw the largest increase since last year, growing 41% to reach 69% usage in production. etcd was the most widely used, with 83% use in production. --- ![h:600](./images/p11-sandbox.jpg) --- # Kubernetes --- ![bg left 90%](./images/p12-prod-clusters.jpg) # Kubernetes (1/8) ### Production Clusters - Of those using Kubernetes, most respondents have 2-5 clusters in production (43%). --- ![bg left 90%](./images/p12-packaging.jpg) # Kubernetes ### Packaging Applications - **Helm** remains the most popular tool for packaging Kubernetes applications. --- ![bg left 90%](./images/p13-autoscaling.jpg) # Kubernetes - the majority (70%) of respondents plan to autoscale their **stateless applications**, - followed by 40% for **task/queue processing applications**, - and 34% of **stateful applications**. --- ![bg left 90%](./images/p13-not-use-k8s-autoscaling.jpg) # Kubernetes - Of those who are not using Kubernetes autoscaling capabilities, 35% **do not want to autoscale** any works at this time, and 12% are using a **third-party solution**. --- ![bg left 90%](./images/p13-ingress.jpg) # Kubernetes ### Ingress Providers - **nginx** kept its lead this year as the top Kubernetes ingress provider (62%), - followed again by **HAProxy** (22%). - **Envoy** overtook F5 for the third spot (up from 4 in 2018) with 19%. --- ![bg left 90%](./images/p14-separating.jpg) # Kubernetes ### Separating K8s Applications - **Namespaces** are the most popular way to separate Kubernetes applications for all respondents, including those with multiple teams. --- ![bg left 90%](./images/p14-monitor-log-trace.jpg) # Kubernetes ### Monitoring, Logging, and Tracing - **23%** report that *they do not use tracing*, compared with just over 3% for both monitoring and logging. - `Hint`: Tracing. --- ![bg left 90%](./images/p14-local-dev.jpg) # Kubernetes ### Local Container Development - **Minikube** (39%) and **Docker Kubernetes** (32%) are the most popular Kubernetes environments during local container development. --- # Takeaways --- # Key Takeaways (1/2) - Survey Methodology: Scope v.s Industry - (`Release cycles`)+++ v.s (`Check in code`)- - (`Use of containers in prod`)+++ - (`Cultural changes`)++ --- # Key Takeaways (2/2) - Serverless - `Using/planning to use`: 70% - `Hosted` : `Installable` = 80% : 20% - Kubernetes - `Helm`: ~70% (Packaging) - `Not use tracing`: 23% --- # Thank you https://www.ernestchiang.com @dwchiang `#CrossFieldIntegration` `#TechnicalManagement` `#Bluetooth` `#AWS`