| CONFIDENTIAL Leveraging Istio for Creating API Tests Low Effort API Testing for Microservices | CONFIDENTIAL • What has changed? – Migration to microservices triggering need for extensive #bugs-in-production, Reduced eng effort for testing, velocity) – Early testing of services components auto-generated from end-to-end tests – Significantly reduced time and cost for API testing for microservices architectures Questions 2 Structure | CONFIDENTIAL 3 API-driven applications exploding Service Testing Component Testing E2E API Tests Engineering effort grows superlinearly as #APIs grow Customer services

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append-only Update rates relatively low high, bursty Processing Model query-driven / pull-based data-driven / push-based Queries ad-hoc continuous Latency relatively high low 5 Vasiliki Kalavri | Boston

pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 1.3.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 1.3.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 565 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 563 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas.errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 1.5.3.3 pandas.testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 1.5.3.4 pandas.plotting . Backwards Compatibility . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 3.5.2 Testing With Continuous Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 3.5 matches in each subject (extractall) . . . . . . . . . . . . . . . . . . . . . . . . . 592 10.4 Testing for Strings that Match or Contain a Pattern . . . . . . . . . . . . . . . . . . . . . . . . . .

parameter. Supplying anything else than how to **kwargs raised a TypeError previously (GH29388) • When testing pandas, the new minimum required version of pytest is 5.0.1 (GH29664) • Series.str.__iter__() was of a DeprecationWarning (GH26581) • The pandas.util.testing module has been deprecated. Use the public API in pandas.testing documented at Testing functions (GH16232). • pandas.SparseArray has been deprecated DataFrame.apply() (GH18577) • Removed the previously deprecated assert_raises_regex function in pandas._testing (GH29174) • Removed the previously deprecated FrozenNDArray class in pandas.core.indexes.frozen

integer (GH27042) • 1.6.11 MultiIndex • Bug in which incorrect exception raised by Timedelta when testing the membership of MultiIndex (GH24570) • 1.6.12 I/O • Bug in DataFrame.to_html() where values np.nan Out[59]: False So, NDFrames (such as Series and DataFrames) have an equals() method for testing equality, with NaNs in corre- sponding locations treated as equal. In [60]: (df + df).equals(df columns. Specifying non-consecutive rows will skip the intervening rows. In [175]: from pandas.util.testing import makeCustomDataframe as mkdf In [176]: df = mkdf(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)

integer (GH27042) • 1.6.11 MultiIndex • Bug in which incorrect exception raised by Timedelta when testing the membership of MultiIndex (GH24570) • 1.6.12 I/O • Bug in DataFrame.to_html() where values np.nan Out[59]: False So, NDFrames (such as Series and DataFrames) have an equals() method for testing equality, with NaNs in corre- sponding locations treated as equal. In [60]: (df + df).equals(df columns. Specifying non-consecutive rows will skip the intervening rows. In [175]: from pandas.util.testing import makeCustomDataframe as mkdf In [176]: df = mkdf(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)

substrings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514 2.9.7 Testing for strings that match or contain a pattern . . . . . . . . . . . . . . . . . . . . . . . 518 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007 3.2.8 Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1008 3 options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2347 3.15.2 Testing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2361 3