HTTP Parameter Pollution in Hashicorp secret vault (Low) Orchestration Hardening Network Policy Zero-Trust Concepts RBAC Secrets Management Conclusions Cure53, Berlin · 07/01/20 io/daprio/daprd:0.8.0", "command": [...], "args": [...], "ports": [...], "env": [..., {"name": "DAPR_TRUST_ANCHORS", Cure53, Berlin · 07/01/20 7/19 Dr.-Ing. Mario Heiderich es-networking-792b41e19d69 Zero-Trust Concepts Zero-trust concepts have emerged from the rapid migration to Cloud-based infrastructure. The concept of zero-trust does not solely rely on establishing

microservice security ● R&D on Next Generation Access Control (NGAC) ● Exclusively co-host annual zero trust multi-cloud conference Best in Class Team ● Creators of the service mesh Istio, gRPC, Apache configurations to be added to the group will directly use Istio APIs. Tetrate OSS Projects ● Wazero: the zero dependency WebAssembly runtime for Go developers ● Istio Security Scanner ● Envoy Gateway: Manages safe enterprise-grade Istio distro ● Func-e: Make running Envoy easy Wazero ● wazero is the only zero dependency WebAssembly runtime written in Go. ● Contribute to Go/TinyGo/Rust ● Using WasmPlugin API

AutoTokenizer device = "cuda" # the device to load the model onto # Now you do not need to add "trust_remote_code=True" model = AutoModelForCausalLM.from_pretrained( "Qwen/Qwen1.5-7B-Chat", torch_dtype="auto" AutoTokenizer device = "cuda" # the device to load the model onto # Now you do not need to add "trust_remote_code=True" model = AutoModelForCausalLM.from_pretrained( "Qwen/Qwen1.5-7B-Chat", torch_dtype="auto" quantization model_path = "your_model_path" quant_path = "your_quantized_model_path" quant_config = { "zero_point": True, "q_group_size": 128, "w_bit": 4, "version": "GEMM �→" } # Load your tokenizer and

between services • k8s ingress controller • Use MQTT plugin as IoT gateway • Use IdP plugin as Zero-Trust gateway Technology Architecture Custom plugin development in API Gateway Difficulties simple, how to reuse existing plugins？ • 2. Let the demand side (PM, OPS, Sec) realize the demand at zero cost as much as possible 1. How to reuse exist plugins？ • Micro-plugin：one plugin only do one think， permutation of more than 40 plugins have unlimited possibilities, enough to meet user needs 2. Zero Develop Cost • Non-Developer：No technical background, no programming, but they understand the needs

columns] Additionally, the method argument to interpolate has been expanded to include ’nearest’, ’zero’, ’slinear’, ’quadratic’, ’cubic’, ’barycentric’, ’krogh’, ’piecewise_polynomial’, ’pchip’, ‘polynomial‘ 1 b 2 2 NaN 3 3 NaN 4 [4 rows x 2 columns] to replace all occurrences of the string ’.’ with zero or more instances of surrounding whitespace with NaN. Regular string replacement still works as expected [24]: converted = np.asarray(rng, dtype=object) In [25]: converted[5] Out[25]: 947116800000000000L Trust me: don’t panic. If you are using NumPy 1.6 and restrict your interaction with datetime64 values to

analysis toolkit, Release 0.17.0 • Bug where pd.read_gbq throws ValueError when Bigquery returns zero rows (GH10273) • Bug in to_json which was causing segmentation fault when serializing 0-rank ndarray now accepts datetime64 as value input. (GH9054) • Allow timedelta string conversion when leading zero is missing from time definition, ie 0:00:00 vs 00:00:00. (GH9570) 1.3. v0.16.1 (May 11, 2015) 37 indices are no longer mutated. (GH9542) • Bug in json serialization causing a segfault when a frame had zero length. (GH9805) • Bug in read_csv where missing trailing delimiters would cause segfault. (GH5664)

(GH7542) • Bug in rolling_count() and expanding_*() functions unnecessarily producing error message for zero-length data (GH8056) • Bug in rolling_apply() and expanding_apply() interpreting min_periods=0 as clip long column data (GH8305) • Bug in DataFrame terminal display: Setting max_column/max_rows to zero did not trigger auto-resizing of dfs to fit terminal width/height (GH7180). • Bug in OLS where running date when offset is negative (GH7195) • Bug in broadcasting with .div, integer dtypes and divide-by-zero (GH7325) • Bug in CustomBusinessDay.apply raiases NameError when np.datetime64 object is passed (GH7196)

(GH7542) • Bug in rolling_count() and expanding_*() functions unnecessarily producing error message for zero-length data (GH8056) • Bug in rolling_apply() and expanding_apply() interpreting min_periods=0 as clip long column data (GH8305) • Bug in DataFrame terminal display: Setting max_column/max_rows to zero did not trigger auto-resizing of dfs to fit terminal width/height (GH7180). • Bug in OLS where running date when offset is negative (GH7195) • Bug in broadcasting with .div, integer dtypes and divide-by-zero (GH7325) • Bug in CustomBusinessDay.apply raiases NameError when np.datetime64 object is passed (GH7196)

two more options to further customize the bar chart. Bar alignment is set with align='left'|'mid'|'zero', the default is “left”, which is backward compatible; You can now pass a list of color=[color_negative Changes • Timestamp.to_pydatetime will issue a UserWarning when warn=True, and the instance has a non- zero number of nanoseconds, previously this would print a message to stdout (GH14101). • Series.unique() in a reverse sorted DatetimeIndex (GH14316) • Bug in Series comparison operators when dealing with zero dim NumPy arrays (GH13006) • Bug in .combine_first may return incorrect dtype (GH7630, GH10567)

Changes • Timestamp.to_pydatetime will issue a UserWarning when warn=True, and the instance has a non- zero number of nanoseconds, previously this would print a message to stdout (GH14101). 1.1. v0.19.0 (October in a reverse sorted DatetimeIndex (GH14316) • Bug in Series comparison operators when dealing with zero dim NumPy arrays (GH13006) • Bug in .combine_first may return incorrect dtype (GH7630, GH10567) Bug in Series.resample using a frequency of Nano when the index is a DatetimeIndex and contains non-zero nanosecond parts (GH12037) • Bug in resampling with .nunique and a sparse index (GH12352) • Removed