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  1. 29. sij

    Great advice. Folks rush into , flooding the system under test with hundreds of concurrent users. They should first optimize for ONE and go from there.

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  2. 26. sij

    says can help with “persona routing” in a single env based on User Profile. My thoughts - Ops might freak out with (a) mixing dev and prod () & (b) on a single env. and have to address these concerns.

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  3. 26. sij

    Watch this compelling presentation by from . Great points on how can help us move away from a slow model into a rapid delivery single environment.

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  4. 23. sij

    tools need to go deep into (Plain old java objects). Many tools stop with showing DispatcherServlet/doGet/doPost in the call graph. Not many APM tools integrate code tracing/ profiling with the wealth of information in the underlying (eg: thread info)

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  5. 21. sij

    Excellent article. There is this misconception that and will solve problems with auto scaling. Unfortunately, that's not the case. Autoscaling can backfire on performance & your budget. Capacity/resource planning is more important than ever.

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  6. 11. sij

    Was listening during my commute - "SRE Abigail Wilson" . Abigail's background was from arts, bakery and cabinetry. Great example of (lack of) past formal education not being a limiting factor to make an impact in .

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  7. 11. sij

    Excellent article by outlining JVM tuning. Since tools can read the parameters (they can see all process info), they are in a good position to highlight anti-pattern warnings to . Example: -XX:-DisableExplicitGC or -Xverify:none / -noverify.

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  8. 8. sij

    tools can catch even swallowed exceptions in the code and flag them as erroneous business txns. This is an example of a report in APM that can give visibility into your and allow you to drill-down into individual traces for further diagnosis.

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  9. 8. sij

    As , one of things we have to watch out for are . The application code might swallow an exception and still return HTTP 200(success). The tool will see that as a success (such txns usually execute fast thereby skewing the avg resp time).

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  10. 7. sij

    Are there exemplar/ best-in-class reports that use metrics to table problem remediation recommendations? The reports that I am seeing out there tend to summarize load test tool metrics - page completion rates, HTTP status codes, time-based analysis etc.

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  11. proslijedio/la je Tweet
    6. sij

    Once a year, an obligatory tweet with the link to the awesome performance monitoring tools: PRs welcomed, retweets appreciated.

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  12. 4. sij

    Your choice of an solution needs to address all citizens in yr IT landscape. When the shiny, new makes downstream calls to yr legacy sys, you need the ability to see the entire chain. Otherwise, you run the risk of tool silos (swivel into multiple tools).

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  13. 3. sij

    Do other solutions perform the data masking at the point of collection (example the java agent)? If so, wouldn't that increase overhead in the target app server/ container because you would have to parse SQL strings / URL params etc to scrub PII out?

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  14. 3. sij

    Curious to know how enterprises approach the subject of PII (personally identifiable information) in SaaS / solutions. Some provide an on-premise module that scrubs PII before it exits the customer environment. Eg: Satellite, ActiveGate.

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  15. 1. sij

    Super excited about my purchases for Jan 2020: 1) Mastery course - by 2) Canary Deployments To Using and Friends - by & Thank you for the amazing discounts.

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  16. 11. stu 2019.

    Lots of EXCELLENT insights for by and Shane Hastie (). "The 2:30 pm meeting is a death-knell for team productivity...".

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  17. 24. lis 2019.

    Hey folks at - Can you please look into adding this (and all other books/zines by the wonderful ) into SafariBooksOnline?

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  18. 24. lis 2019.

    tools shd help non-experts such as to triage problems quickly using intuitive UIs such as this. Ex: which tells you which team to route the ticket to: Frontend team? Network admin? Backend dev team?

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  19. 24. lis 2019.

    Use an tool in your load tests which will tell you how much time was spent on Browser vs Server vs Network. In a real-world use case, eG's (RUM) agent pinpointed that the slowness was due to Chrome not caching assets (with a self-signed cert).

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  20. 24. lis 2019.

    If you are a engineer in a cycle, be aware that when it comes to caching/ performance, Chrome does not cache assets if the site has an self-signed cert (even if accepted). . As a result, you will see a performance penalty!

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