Cloud and Observability

Transcript

1. 2nd November, 2023 Cloud and Observability Kento Kimura – Sales Engineer
2. Self-Introduction • Div. ：Technical Solutions / Sales Engineering • Role ：Pre-sales Engineering w/ knowledge of Cloud Architect • Certs：12x AWS Certified、11x Google Cloud Certified、13x Azure Certified • Awards：2023 Japan AWS Jr.Champion 2022-23 APN All AWS Certifications Engineer Google Cloud Partner Top Engineer 2023 Kento Kimura (木村健人) Datadog Japan G.K. History Datacenter Service Manager → Pre-sales of Public Cloud → Pre-sales of Observability tool Community AWS Jr.Champions Meetup / Owner of Jagu’e’r subcommittee Partner Top Engineer 2023
3. Observability = Observe + Ability
4. O11y = Observe + Ability
5. Tech Complexity 5
6. 6 Trillions of data points/hour Data Complexity
7. 7 Security engineers Product managers Support engineers Network engineers Operational or People Complexity
8. Many Aspects of Observe 8 containers serverless hosts containers serverless hosts containers serverless hosts cloud costs services IDE mobile web synthetics application tests application incidents security networking network devices services services message queues CI/CD pipeline databases
9. Key point of Observability 9 Depth Scale Breadth Telemetry types • Infrastructure metrics • Application traces • Logs • Code profiles • Database queries • Message queues • Security signals • Network data • Flaky tests Data correlation Correlated data will reduce time to resolve problem and improve productivity Data resolution Higher data resolution enables incidents to be more accurately identified and resolved.
10. Thank you