积分充值
 首页
前端开发
AngularDartElectronFlutterHTML/CSSJavaScriptReactSvelteTypeScriptVue.js构建工具
后端开发
.NetC#C++C语言DenoffmpegGoIdrisJavaJuliaKotlinLeanMakefilenimNode.jsPascalPHPPythonRISC-VRubyRustSwiftUML其它语言区块链开发测试微服务敏捷开发架构设计汇编语言
数据库
Apache DorisApache HBaseCassandraClickHouseFirebirdGreenplumMongoDBMySQLPieCloudDBPostgreSQLRedisSQLSQLiteTiDBVitess数据库中间件数据库工具数据库设计
系统运维
AndroidDevOpshttpdJenkinsLinuxPrometheusTraefikZabbix存储网络与安全
云计算&大数据
Apache APISIXApache FlinkApache KarafApache KyuubiApache OzonedaprDockerHadoopHarborIstioKubernetesOpenShiftPandasrancherRocketMQServerlessService MeshVirtualBoxVMWare云原生CNCF机器学习边缘计算
综合其他
BlenderGIMPKiCadKritaWeblate产品与服务人工智能亿图数据可视化版本控制笔试面试
文库资料
前端
AngularAnt DesignBabelBootstrapChart.jsCSS3EchartsElectronHighchartsHTML/CSSHTML5JavaScriptJerryScriptJestReactSassTypeScriptVue前端工具小程序
后端
.NETApacheC/C++C#CMakeCrystalDartDenoDjangoDubboErlangFastifyFlaskGinGoGoFrameGuzzleIrisJavaJuliaLispLLVMLuaMatplotlibMicronautnimNode.jsPerlPHPPythonQtRPCRubyRustR语言ScalaShellVlangwasmYewZephirZig算法
移动端
AndroidAPP工具FlutterFramework7HarmonyHippyIoniciOSkotlinNativeObject-CPWAReactSwiftuni-appWeex
数据库
ApacheArangoDBCassandraClickHouseCouchDBCrateDBDB2DocumentDBDorisDragonflyDBEdgeDBetcdFirebirdGaussDBGraphGreenPlumHStreamDBHugeGraphimmudbIndexedDBInfluxDBIoTDBKey-ValueKitDBLevelDBM3DBMatrixOneMilvusMongoDBMySQLNavicatNebulaNewSQLNoSQLOceanBaseOpenTSDBOracleOrientDBPostgreSQLPrestoDBQuestDBRedisRocksDBSequoiaDBServerSkytableSQLSQLiteTiDBTiKVTimescaleDBYugabyteDB关系型数据库数据库数据库ORM数据库中间件数据库工具时序数据库
云计算&大数据
ActiveMQAerakiAgentAlluxioAntreaApacheApache APISIXAPISIXBFEBitBookKeeperChaosChoerodonCiliumCloudStackConsulDaprDataEaseDC/OSDockerDrillDruidElasticJobElasticSearchEnvoyErdaFlinkFluentGrafanaHadoopHarborHelmHudiInLongKafkaKnativeKongKubeCubeKubeEdgeKubeflowKubeOperatorKubernetesKubeSphereKubeVelaKumaKylinLibcloudLinkerdLonghornMeiliSearchMeshNacosNATSOKDOpenOpenEBSOpenKruiseOpenPitrixOpenSearchOpenStackOpenTracingOzonePaddlePaddlePolicyPulsarPyTorchRainbondRancherRediSearchScikit-learnServerlessShardingSphereShenYuSparkStormSupersetXuperChainZadig云原生CNCF人工智能区块链数据挖掘机器学习深度学习算法工程边缘计算
UI&美工&设计
BlenderKritaSketchUI设计
网络&系统&运维
AnsibleApacheAWKCeleryCephCI/CDCurveDevOpsGoCDHAProxyIstioJenkinsJumpServerLinuxMacNginxOpenRestyPrometheusServertraefikTrafficUnixWindowsZabbixZipkin安全防护系统内核网络运维监控
综合其它
文章资讯
 上传文档  发布文章  登录账户
IT文库
  • 综合
  • 文档
  • 文章

无数据

分类

全部系统运维(22)网络与安全(22)

语言

全部英语(20)中文(简体)(1)

格式

全部DOC文档 DOC(13)PDF文档 PDF(7)PPT文档 PPT(2)
 
本次搜索耗时 0.014 秒,为您找到相关结果约 22 个.
  • 全部
  • 系统运维
  • 网络与安全
  • 全部
  • 英语
  • 中文(简体)
  • 全部
  • DOC文档 DOC
  • PDF文档 PDF
  • PPT文档 PPT
  • 默认排序
  • 最新排序
  • 页数排序
  • 大小排序
  • 全部时间
  • 最近一天
  • 最近一周
  • 最近一个月
  • 最近三个月
  • 最近半年
  • 最近一年
  • pdf文档 My Take on Agile Coaching

    Coach: 1. Activity must have clear goals and process 2. Must have clear and immediate feedback 3. Confidence in ability to complete the task  The power of Agile frameworks (Scrum, Kanban) is that Three primary categories from the Agile Coaching Institute 1. Technical Mastery 2. Business Mastery 3. Transformation Mastery Business Value  Builds an efficient team  Brings innovative technical highly valued than salary  Embraces and addresses conflict (Crucial conversations, Positive Intelligence, HTWFIP)Agile for Defense Agile Coaching by Darin Plum Aug 6, 2014 2 Books 1. “Good
    0 码力 | 2 页 | 417.28 KB | 5 月前
    3
  • pdf文档 MITRE Defense Agile Acquisition Guide - Mar 2014

    .............................................................................................. 6 3 Deciding to Adopt an Agile Approach .............................................................. iteration) Daily Scrum - Team synchronization meeting to plan activities and assess progress and impediments3 A release comprises a series of sprints. As an example, consider Figure 2, which depicts a six-month small-medium-large as units for assigning story points. Over time, as the teams accumulate performance data, this iterative and incremental4 process improves accuracy in allocating points. Point values are
    0 码力 | 74 页 | 3.57 MB | 5 月前
    3
  • word文档 DoD CIO Enterprise DevSecOps Reference Design - Summary

    hardening from DCAR containers are preserved and complies with the NIST 800-190 requirements [12]. 3. Runtime Defense, this can perform both signature-based and behavior-based detection. This can also Log Storage and Retrieval Service 2. Service Mesh 3. Program-specific artifact repository 4. Runtime Behavior Analysis Artificial Intelligence (AI) service 5. DCAR for the hardened containers
    0 码力 | 8 页 | 3.38 MB | 5 月前
    3
  • ppt文档 No Silver Bullet – Essence and Accident in Software Engineering

    bullets? • Ada and other high-level language advances • Object-oriented programming • Artificial intelligence • Expert systems • “Automatic” programming • Graphical programming • Program verification • Environments
    0 码力 | 35 页 | 1.43 MB | 5 月前
    3
  • word文档 The DevOps Handbook

    problem-solving. ii. Telemetry – An automated communications process by which measurements and other data are collected at remote points and are subsequently transmitted to receiving equipment for monitoring development. Operations don’t just monitor what’s up or down. ii. Modern Monitoring architecture 1. Data Collection at business logic, application, & environments layer a. Events, logs, & metrics b. Common 1. Debug – anything that happens in the program 2. Info – user driven actions or system specific 3. Warn – conditions that could become an error and will likely trigger an alert 4. Error – error conditions
    0 码力 | 8 页 | 24.02 KB | 5 月前
    3
  • word文档 The DevOps Handbook

    The DevOps Handbook – Part 3 The First Way – The Technical Practices of Flow 1. Introduction a. Goal – Enable & sustain fast flow of work by implementing continuous delivery i. Create the foundation Operations to improve outcomes 2. Ch. 9 – Create the Foundations of Our Deployment Pipeline a. Enterprise Data Warehouse program by Em Campbell-Pretty - $200M, All streams of work were significantly behind schedule control 1. Application code & dependencies 2. Environment scripts & creation tools 3. DB scripts and reference data 4. Containers 5. Automated tests 6. Project artifacts – documentation, procedures
    0 码力 | 8 页 | 23.08 KB | 5 月前
    3
  • word文档 The DevOps Handbook

    LEARNING CULTURE i. Unjust responses to incidents 1. Impede safety 2. Promote fear over mindfulness 3. Create bureaucracy rather than carefulness 4. Cultivate secrecy, evasion, and self-protection ii improve safety by allowing them to give detailed accounts of their contributions to the failures 3. Enable and encourage people who do make mistakes to be the experts who educate the rest of the organization involved in decisions that may have contributed to the problem 2. People who identified the problem 3. People who responded to the problem 4. People who diagnosed the problem 5. People who were affected
    0 码力 | 9 页 | 25.13 KB | 5 月前
    3
  • word文档 The DevOps Handbook

    “Infrastructure as Code” or Automation: g. Myth—DevOps is Only for Open Source Software: 2. Foreword xix 3. Imagine a World Where Dev and Ops Become DevOps: a. THE CORE, CHRONIC CONFLICT i. Among them are that cascade through the entire manufacturing plant. The result is long lead times and poor quality 3. Consider when we have an annual schedule for software releases, where an entire year’s worth of code center positioned after the bottleneck, it remains starved, waiting for work to clear the bottleneck. 3. In typical DevOps transformations, as we progress from deployment lead times measured in months or
    0 码力 | 8 页 | 22.57 KB | 5 月前
    3
  • word文档 Pomodoro Technique

    preening How does it work? 1. Choose a task you’d like to get done 2. Set the Pomodoro for 25 minutes 3. Work on the task until the Pomodoro rings 4. When the Pomodoro rings, put a checkmark on a paper accomplish a specific task 2. Learn to protect your Pomodoro from the internal and external interruption 3. Make accurate estimations of how many Pomodoros you need for a certain activity 4. Set a timetable seasonWhy does this work? (Theory) Flow: The Psychology of Optimal Experience by Mihaly Csikszentmihalyi [3] From Amazon.com Psychologist Mihaly Csikszentmihalyi's famous investigations of "optimal experience"
    0 码力 | 3 页 | 289.16 KB | 5 月前
    3
  • word文档 DevOps Meetup

    Sphere of Influence  Machine Imaging  DEG and 3rd Party Application Installations  Route Adds – requires heightened security access  Database Data Script Execution  Load Balancer Node Disablement
    0 码力 | 2 页 | 246.04 KB | 5 月前
    3
共 22 条
  • 1
  • 2
  • 3
前往
页
相关搜索词
MyTakeonAgileCoachingMITREDefenseAcquisitionGuideMar2014DoDCIOEnterpriseDevSecOpsReferenceDesignSummaryNoSilverBulletEssenceandAccidentinSoftwareEngineeringTheDevOpsHandbookPomodoroTechniqueMeetup
IT文库
关于我们 文库协议 联系我们 意见反馈 免责声明
本站文档数据由用户上传或本站整理自互联网,不以营利为目的,供所有人免费下载和学习使用。如侵犯您的权益,请联系我们进行删除。
IT文库 ©1024 - 2025 | 站点地图
Powered By MOREDOC AI v3.3.0-beta.70
  • 关注我们的公众号【刻舟求荐】,给您不一样的精彩
    关注我们的公众号【刻舟求荐】,给您不一样的精彩