Table of Contents

Introduction

As part of the HA (High Availability) investigation, the decision was made to focus on the use of certain tools in testing and implementation.

As a database HA solution for Postgres, the Patroni project was chosen. Patroni's solution involves a primary-replica structure for replication. Writes and reads are made to the primary and the data is streamed asynchronously to the replicas. The primary is referred to as the leader in the documentation and this database instance becomes leader by way of a leader election. The elected leader holds a lock. All other instances see this and assume a role as a secondary. If the leader node dies, a new election is done and a new leader is selected. This process is extremely quick.

For backup and restore a tool called Velero was chosen. Velero is a widely used and comprehensive tool for backup of Kubernetes resources, including persistent volumes. The CLI provided by Velero is easy to use and adopts a good amount of the syntax used by kubectl.

The remainder of this document will show a deployment of a 5 pod Patroni cluster inside a Kubernetes environment. The database cluster will then be backed-up, destroyed and then restored - in that order.

Notes

All installation takes place on Ubuntu 20.04
This demonstration assumes that you have a running Kubernetes cluster and a helm repo (The name used in this case for the repo is "local").
A tool called "minio" is used to simulate connection to AWS. In a real world situation, minio would not be needed because a Kubernetes cluster would be backed by cloud provider storage.
This demo is based on kubernetes server version 1.22.6 and client (kubectl) version 1.23.3

Running minio

Firstly, we will install minio on the machine you are using with Docker. This command pulls the minio image and creates the container with a volume called "data" mapped to the /data directory.

Code Block

language	bash

docker run --name minio -p 9000:9000 -v data:/data minio/minio server /data<br></pre></td></tr></tbody></table><p class="auto-cursor-target">This runs minio on port 9000 of the localhost and also creates a docker volume mapped to the /data directory. Minio server is then started and data is saved in the data volume. Once this is done, you will get output similar to below.</p><p class="auto-cursor-target"><img class="confluence-embedded-image confluence-external-resource" 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Mt5oIP65NN8cS17JzxwC0GhmacmljDeqIJ8fdlhs8MsG3UqiRj1ujlIXjCNCtGaL6HdCLbV5AH7rGk1+NMiAlSjANTD4AkEP+eA42UKKUjBWBFxQ3bwcRRs2uZepu61tK1l1p5B7+rziOm7mo/FYi7FtyhQuN20Ox5+/6qjY4wCnsw7FbvDFt1oyFnhKxrPi2UdyyrauZTK8+rpCzfLse7rC6upztQLQzAWdV6xJcae857Udn5WJX0klp6bpXdMOmahDP+oOzGRlyDHMremNleSD7qDzP1mNKdLGN4BmFrHwpVXTjNU2ApzjQV0D3miXmoRE6EIXZJwaRSshHlCXgA9hNEIJlWhDjP5c4c91+e01pyYYLGC/c2zy13tKxiNwrS5g8Dro1Foo3KHRv3NTXQOVj9cbZnKjwp+4gagxlQlBLwfk2gI5IiUNWV4bX5SaS+Szw1yzxOjttwAKrRlyCsthcwXzVd94h8uzvP4aMIFF8tm7vixuvRZbIVWW16ynPt84tG7DMfcWlStkOlElrQMTPZRMfU8tipfsrxiPh5wKI1fUPc82dL337qveSPKDNwoTi+nH+qsO/mO0n2S1gI4XTCWvxUEWAlhqVQAbXbC4DltKjIs0GCs6Ga/XOED5NjMvW1jKLIOZTCWP3npikTWvsig6V4eWpMVxNvC5c+LRSJjiDYKbVSI25F8TKEuGIvPyNFl/j1hT0X3lZFfyNHJikZKsb7ssMEsG30q6Lo5rE+B9XohWvMlsxsh1pkgrCiW5HUjQDUKQM0JnkDwcw44XqaQghSMZSvWbx0fQ8Rmbu/3lln6In3WCPtkpG/prQ/Yeq/bzhcsxzE3xzWIs9lL11p0n98bK/t4j4r6ntVvp2KPjR5xSthgh7kwtWkBX2GkVEzStElb7/FvT98zWLnzVhiCsWjzKtxmcrLgUjD3ZrUpD7KGMe81nrDuyvPM7NSre6bWVIeQg16ocGjs/jpmmz22yM/HheE0m5ow8CPdcFrIvWyRtr9M3nz84r0XaS4mO/3ZjfOHF03+qXwpvZQd+WtNO+PnkGjp5Gjm9uLqxpMOFHmpyBSvU6vf1PjNR04nP3qa5nQ5M188fnDt8rldW1aOHNQuUhF3nyMlLFihXfe5u4/eePrKybgyX95LOr1u/tim4w5m8UA810Ia9wDNi4I8GUPPnUXf6eI5YiPbTJiyPvHghZu3n6alO90M40x7fu/CsZ2Th3UuahjIKMWDum8uqKyQoyh9okEscfdAVi/OXHuV7Y7mmlh7JZ2Pebt8iwb9Jvy6bGfCiUtJ95+/zHS6GI/bmZn65N6ls8fW/PZ98G1ZysthgUbZ7GWjG/foMGpm/IbEQ38l33maluFkGMaZ+ij5jz1rhnRt8r7RB6Mgecn2UDJG4v9n7/+2RECR0Wuvry/jY46HXRSMI1FeDps95p1Pu/aZs33vhdsPXmY5GY8rOzP18d1L545vWb/05z4tQ7yXoVjU6K9GXHJznOuYZgNLZUUiK5T4dsTolQf+SLr78JUzO/P5jbN7pgxo9WGxOvXGbth/7WmaM/v5nbPLx3dWGl6bryeiJQ/QjWCkLKhB0dq1B89bfjTp9rP0rOz0x3ev7ls/t+vXtU09JTtcNyjaVx4gr2lEZL5NHqgXapRSsmAagLaszFe4JrFRSnsV3uvSjdal8gtSzqNdy8bInab+4s0OW/jhkufFou9K6f5K4X3p0ur4+KuvpZ4DX1Rq38ZhI7e9MLsBS6WiSiWvoHSeondQlZBCK0B+lMMmT9y4kzYs3rHvQnLK8wwn40x7mnImccPw7k3eNx5O8rtQ044CgCWEAImrNDNZ8NI8txe1041f+MIXG3NWnKy48nsLxWSFBJxce+0OW/CjG0gdaVqlhVKGjQJ89rBYndqD5686lnQnNcs3GvrzyJrlcwf061quXGnfkypoVG1ZkrLqDQFuArUXTl4sD6Be4BEHIK8A0JTCkgF6nm1qZDhLYHfk/zz+nNBuXRfj41QTBdTWRpk1xagt2LYMYAiWFyF8sG8D9A9lQauHiNpf2hmYYFsKIQ2jx8h80TeaLb7JcMzdFV0nX3Rx7KuEn7yhS8V/WPrUw7mvjB205DrDsWnbmhYxykWwNmQBUhbOmUdW67BPOGGReTinjcF2SjZ72borhM2x+Pgz9b5ZNPZTaI9SvQyDscxWEGAlhKXS1YhMXqbiVlkh7cuhwVjSUXTsyy1fmWuaPusQB2OZyUtbTYeNrH3pC0x8B9A75HZ/Xlt3MoZoo9BGaTVH3x6p7vgPxrKXrrfiqbAVhHNb30r6rGnWlx02mGUDpIKtmwP7FFCv55tpV5+G5JUdyZqv0CuR2Q294CjvUPm91LZXdikpxw5AD1aqO3SejWr2ALBqlhfmvmSRaf1+9W/tKIDKNAkPyxlR6oboswE8BzEhlW4Eo4f0JZRHUtmHBrYfMX7DsXP3UtNdTHba06undk8Z2j4qoNNIvcrpsNmpLICXYQ6sjdIrmGQNxDLr/1cOxircTTyCMGvXT++YZVO8/8ZsPl7k0YrOBbXPlG+6kd/w1n1zfmUhsOatNqvv8vFSWbsGag4TVB4CaPRdi93x5vfbxS9s7i/rqMhI6oqYq6PqNxpwKpsP/UpZWcc3HROOYCy6vAo0WpAk7MXsvjKrjGoOSI/e5E7RdtNuC6cc8rbGk7Lie1NxaEVg8kLVY3JjNuyYHbYSPfjpAI5jMxLbl9IuJuUr3W5o4gOeu/Y/1v34+PDmVaQPvLwlka2b9nH1b0MzSpuXpOhlS/RYeuixy6CMQqbuG/MqKuRieQlj7R2WnEr1npCtxiD+CmEwFjAvWvJkDA2DsUpWm3tHaC56EmzGjS3f1tCtUwY7xUkRBENWr9AGY9Fpr6DzJWvOvpkmGww9SI5N3dz7nyojwDdPWikLeVmkUb6FPYPqcBzrurPnlzI+sx+MtZHtoTonogApeu1VSoHOTSld4sft14QdF9UF9f5yHvdz5C5Jv2D2TOX2e50sm7G2m/lGiYXaz7gvxB8rS8Y6nz5LV5k51nV91Q+KoEAoedlBVGYnXxvrBjQvQV5v1x66zHtyspyNcMFmXF7/c6xOD8VWSW3Z+Lwo21ceIK/WK0LfJg/UCzUqp9qyWqP4VkNgo5SGN7zXcRV+v8mvArv/GlrL4PsEyU2N+aD/IX4sxVz7pX6cdJOvGqhf1jMhuWOl58CPsak8c5EJne2F2Q1YKkmLqOUF6b9EaVL2DlIJldpFcg30ewPUy3lr5/AY47kbaj8KWEIQkDfbrBE/2HZdnB6rGDlKJCu1TcgQdgN5Or+tNr6HTntzJhiLslVaKGXYKECUyzt1R666IUQGqF026ZfxKJu6LYM0Cqi9cPKwPgU44rCCoYyCuTe9uW6KgBdKbOGRp4Xd9Zmk2a3VIZLU1kZq6YIRJh+1BTFTAWIIlJeqdgH0GezbAL1l61sKDQ1DF4vIF32z09aXLL/x1af14s+6OU/qjpYO/m1vCX2NO2l25cZzLjMc5zzSpYx2DlYuIVlwj4Vz5kW6LBSnjtMSvjb5ku2dLtv5LxA4z9N13cw/ZDIEq7kp1cs4GMtkBQFWQlgqXVMik5emmoQ/ocFY0Y29HwQyyZO+0novsqbpL0IdjGUiLx3D8I/16HsHuTOSfAvV/xvPR4litcif14kPbRTHoo0yaFxh3b3P3zGFgorGlvztiotvPK7DI+vk0xaPan3ZYYNZNkAq2Lo5sE8B9XoBgrECrPkqrAeR3VA8T9h5+R6j9nsBtldOQjd2AHqwAg3gPBv17IFcNVUPJP0w7InywtwXcBSgNSA+NTNVURkgnW6Ib6b3HPgS0upGUHpIvSYlA5GUSP3/npcXVzSrrJq+1rIlHy8L8qK2AHwqC0a+BMoD0DdtEjkYq1C76Xf5JdXs/UP+ZfYNa8ygbcICgm6Cw2Er3nXRE/48oxvzvvF+P1qsy4LH/EmFaXsGf6h9YYBO5Z2ee4WJNE/ygm8VX6NKqZiro+rGvfvtWj6Og83YN1TuucMTjEWRlzAHxCus8WSfVlO1wuBFnv+L38VP+kS954PbDKaAwcohN2aTYCx7hdbb04Xx8ovF36mGZxGlvo+/KgZiscyrOwe2rJ48Y/6UlXtPPRRmvTjO8/xgl6qq9aeIkm06jJ0yZPyUIRPmbxGjbpiULTOn8ncU/wYN7mhXb3UDyEtgW77SuJPPpMAAlnU+vXlud8KOZeu3rk04uP/PGw8y3Q9WdFbOAlhcwneazPnTO0XMMi9vH969fdnGXbvO3VcE08A1R6NdsLwA5MkYTu7ZRrmJnajAMf8dfPjJ3SsHdm+bt2jh+Omzxs5ctnjf1SfC4eF8IOfF38sVVqt6EFOcXj7E3QNZvabotVcjCOKf1NorvLl04/UvvaGHrCfz6a0TRw5s3LJlwfLVc1dvWbP3xNm7zw/ptjUCSNlmd1imUb5lGNb57PaVwwf2rd20edmW/QdvpnqjLFn3tUUdNVGqIHnF/KvRoIGyLZqwZM9DwXwQBWPRa6/S4BProc3ueLPBrHNe0+t6fOXoquVLJsTPHjdn6aw1O3eeuvk4i7m10HDbBnXbUeZOeh1botuMyXOmNVUbdpVKSw498/j88jnxgycuXH81XbTBLJN6Zsui0b9v+uOpEJfF3JrSVO5ToORlB5FCN6B52R35qwxa/1AMdWQ9mQ9PJyas2LR7z19PvHFxrOd+wpAiBh00RDeo21ceIK/SQFLfJg/UCzUqp9qySqMEQ0Rgo0jNnf7ltHdiI4ed4HfKYe5ObV5SZSdVZYgt8et5fubR+Ud3xYktsH7ZPBf/hbfOc7DZIb4Nte2F2Q1YKkGaEHlB+i9ejtS9g0rf/GuC6q8gP0qxMxbHstnPks6d3LF92/ItiYd8PpvzQvzXysGXpLfUfSWwhDAgJXqt5L8y41jn8R4VVMNbvvyFO855JPw1Y29b9SbW1NqbA8FY9K1S1t7wSxk2CrDZHW98OmIHPxnF/8c6n/11dN+qdRuXbtq148TVlHTRlzMYZUPaMkijgNoLJQ+rF2zEActLsgMqK+T3Zqlaix8IH3Exl+KNtqOLrNn9sDBeYh7MaCWPOMT3U1sbVUnIR23QmQoYQ5i8VFULrMxg3wboLVvcUihpGKoriS8a8+GAw9kc574+r2LRpqMvM5zn2ZIO5Wz2UjUX8ocTJs36+i1xEthvQD9ZcI91c+b5qk88Jq6lX5gWYzAi5nGJZ5/x6+3nJpcweYZMClK9TIKxDFcQYCWEpdLXgkxehkoV8CY0GMtesvKsZGG2lU2/uPjz0jr3xsQmhDwYy1BeeoY2O0n7CojLzwP0vYPcL1PMR/EFsMyf12EkYYg2Cm2Un2YC+lOAnbHiqsy5LTh1zt0D5XN7pYzo1pf5KAeQZaNPBVo3h/YpkF5PcQYF9Zqv2nSQ2A1JXiYdh/qFqochfi/E9sLGDkAPVqgvZJ4NMnsAoJEX5r6AowB6DbTZYbohqjG958CXkFY3gtFD+hLKGiVMpTAZD04d2LVyY8KOP++meTdaYDMvz//U5NMLXvnJx8t2B8QC5OTaqMp8+bFsxH+Sg7Gim44Rjg/PPjTiP2Ls1CffDdqwc83WnYuGtxQPJYwoNSyBX2dwnxrfIL9a1737YHkezW4jz31UaLGZPyKefbWrTaym3P47lVI15qXwvTLr3D1IuauWlEoIxrJF1+t/kp9wYW4t+bSo+P5wBWMR51WqrnenzYz1P8DOKHTkqzB6v7juLs4lnp5YTB2oRCxaDXPxZ8BgrNiYCX+JY+o/xtbzxadHVm224ZEgFPedvROrl1aEQxZv3GXHPWFE57m/9od31YrhLS3Vaa/AvGL+1W7NTe+6ufP2/lktPq+i/ibSYStaI6qMrJ9qPhaUsFDTkReFwDXWc2//xCpx8tA35p2aPUYffix4ogbTxBCJw/ICkpdIUjEU9SQ6VmNJbPaY9xtN3ieG1HmeaD83h05x+hjSdA8Q7TXU/8A3wdordefMgwUdq4okF5oAACAASURBVCpCVyWh2GPzawwITMpWapTsBGTvaaPceSiyQtkRBx8I6yxs5tFu+rUxkTNAD73aSHl0IK32KtWAQg9Lf7Gcj2vm2PQjk1q8o41sduQrXrtYecNzAWQdCOeF5NBnJfQXN2DL/9mUU/zmMJ6Ha7qJd95uNP8Sb93MzvqhcdqC1A0qBzGqduf9vA/DRxqfmP15ebnXKxX13YI/Xop/eZkwSA4HV3Cm1Q1A+8pr5El9m7xWL4ohB2qUyga2mnBT8Hpgdl75qlxz/VaXHfy2vmz6qi4+m1ywRJUPS1V5v5js8pX8dIGwcfDLrb7zQWD9MrziVnkOdpBvA2gpMLsBS2V32GDygvVfgN4BrhhSL0blR8n1ch7qrDyzPrJC2eGJYugE+3JPW912y7yPTdtXylWjKqGciuoisnLbncLnSWz65t66vZ+lT6ecJ8cVUrrZAO21OhgL1CqtlLKcF1XvEFW35xFBXpwn9czCRlVU433Tg+xhbZlKkfQPU2mvTIOqfQHrBRpxAPOSrI2ej/mdt9uuE4eBrvNT9ZEfEWV/3ikemPZg9efeuUFFLmBrQzV2gM1UABmC5GWO1zdbon4G7tso30Mx8pWkZkFLUZYwvNexJcZdcHGccHhCXPn4G27Oc29F57cKCc4wkzK1Wcn8NYURNJMypYlpQD9ZcI91c+ZvNF92S5ggzto90HgSmD+lus8acR/Jh6vqaD6zpGMu1cs4GMt4BQFWQlgqfQsik5ek8HQ0wMFYjogyvZffFxfWWOeD41P6tfyPcLCJvvzKO6EOxjKWlzJH665pewe5X6byUnLEn6dQKrRRnAdtFIXCEBgu/8FYUXX6HBc3M30wo6W216NcX+YLA7Ns1KlA6+bQPgXS6xEEY5ms+YZW+v7fBvN7QbY3qLGDWAs6D5Z+ng02ewCgkSfmvmTNoRoFyKloLoLSDVrPgS8YvW4oq0Onh/TzbLJGMU/2T+9ZooS8TW/sB19N3PlQ8BtZ1/lpzY3WnYUegbyEMAtgt2jka4n/KQdjRdUdcFr4VPvoGHGbonc6bRE/L2TurqglnC8QUW7UPj4Yy7l/yKfqA+lK1Vx4j+FXLLc28a2dx3zQZz+/LOF5vqxjOXVl/HUqb9Uet09Y5mTTDn2vWm6XUonBWPaY9ztt5mdkPKnre1YVyhO2YCzSvCp8u5sHxDEpU5pp/Qk1AXPfJbJK/SXJ3m1Q3CmLOumCxJWtkfo6YDCW472+iVnC8nPy/LZyGytQ9/dzfLwVm3kuvlwxXeEdXRcIJ1WxqTtbCRtuaytLY0aBeUU3GXFR2DeHZW6u7xNJ+91V+Ev4j2/Xicd5uZNX1NIFk5pOE1OLmJcOLC8gebmENAy1GiK/hL+I/WTsOcExd5+f3EQVrQWb4lS+nLx7kFOFrF66hiNnAddeuTu/M9l85k5JGyZlSzVKdgI0Exx2hy2qVrdDwkQ7m7m1r3ZtzFtNsLwAuiFL0Hdhrr2+Z2jCjyKrfX9A6FZcp/tVkZfzzXVJmYsF1zqH3la44yx+gzHWd+Sx/P3QgWGKkwoVVSAnH6Ru0CyoFGzsPXSYebi1uXYVOea/PXaK26i5by6sSjqzbKobkPaV58gT+jZ5rl7E2osapeyJfHufwOy8BcaNPosCjeZf5RelXAeG1fJ+zBAt7H/AeZ6u7yGdF1y21Ta+F3MnzSkveaqwflnFk660FnkONpBvA2kpMLsBS2V3AOUF6r8gvQOdMij6YjkhlR/lr161ex4RtpJkX63qopkKMMrXWwDTvtKn81QllOtFdxHznx8P8PMYnOf5pt7q3VhjPh78h1Ax5lJ8c+WXPxDttTgYC9Qq/VrsUEvZn0aZjgLebL7khhDf63m8s3VZefbQq2Zmo2xgW6ZTJJ2qU2mvPxqm5IH1Ao04gHnBGBb/YanwvRbrOvdTDc2YKOY/Px4UG+y95Z2MtuLTCYIvA4G1oRk72EAzFUCGIHn5rCixCMC+jSovYm/Zlyr8LcWXFzENaJKS1ebyHxuL594WaDQ/ieGYu8vrNJp5geGYeytrF+F3kOJ3mfK8WNjO8BROXoHJgnusmzN/s+OWVL6XZFPX/yB+vG3Ap3CnueJnZZk7WxifWWzYNvU3pXoZBWOZrSDASghLpa87mbz0NSW5Aw/Gstkd/6z3y5a73h3n+aNG7p6cP7ZnbKzGqKqKIQdj8QsFRv9l7x/6b9VHgxB56Rnm3B3z3sFfv2zqpeSMP09h2dBGcSzaKAqFUdkH43bqLxgr9uPvNyWLfvuj9V/6FpHF19KuL3sLA7Bs1PYQtG4O7VNgVhS45mssxNCqhPQ2oN8Lsr224McOdB4s9TwbcPYAQCMvzH359JBqFCCpli85yZ3gdUObi7nnwD9JrRuq6tDpoZmJNi+hH42yO95ts1KaadnQUGuxpbyISwi0AFaNfFXYtSKWKhvsfTkYK7J6l4NCpNXJcYX5TzzLNlgtnAAvnLgxrTk/JsxXaexBF79h1cae6hnVQq1/4z9wZ1/t7K884jCi/Kh9fFSR5+6yjurhma5TiYx7s0T1wnU7tp2w6fRzMeAu48Sk5sapvMFYDmmWn806M0nY9Dh8wVhkeUkMOSZpTD15Fw2VqCKKVPigVNUPS1V5r6j5aCe6SunvRw0YO6ZVg+rKGd5QKETgjvlN8ct+zvNo5fcFveoVV2lmsrDXydNlnSoYFaN03RVC5B5zb5rh4SwUZhSYVwFp4dzzeGvzktpJWKMyq+RiC3sJS9Ve+lD4csx1dHRd35ZjUgM2myYOXHLpDYonYXkByfvypWCohq+rwhtNFwuG3vNkVRdJCYUkoClOXwmpplPlUoWuXqqSyO+3O4LQXtruHCZlazXKnxMQ87+hx/nDcoWjYI3NI1hexK6DmRzF+6baq5A4xW469jKN1wn7M7Hpx6a1Ufaw/oth0V/1Dn2hNpNv8btGZR8c7t1lM7rF2CTe+Dn/GBul3EBCBkJOPkjdoLAA3gkpjnP/OamxKiRULHZ0k1GXhfkDJmVKU9LYaxPdALWvPEeeh0/g2+S5epFqL2qUut8Pvi3LBiTXXESUGbGHH0gxV2e0FLunfNUmHhU2m2XuLv9MjNqM+rzfSf5Wti84FdYvq3nSQbDGc4D5NqCWArMbsFR2qLwgOg/qHeiUwUiRqPwof/WKLTLqjBBO7j7321cGPalJUU36SkVRqUpokktANymizNAd4n4eTzY2Us06lW++WTginLk3XZghkV4F0l5rg7GAIw4rpewvL7NRgHfHQY5jzk9Rf8YjSN9klA1ty1CN8uoJlfb6o2HWvsD1Aow4wHkpmjMFz/JN1j/nxxis89DIz1XTKZHVO+4TmitzN76Fal80qXka5xjY2lCMHRygYCwwQ4C8jCH4RwT1bdR5kXrLilRhbymKvCiUEJbK63e5/vztk2iHrVCbKbc8HJOydddlF+e5v+L7t30z7dkbepQ1kwhZcI800x7+OfM3u+70bnq1orNqyk7Js9C3U1OE/aSz97ZV9aS0JKV6ycFYBCsIsBLCUumlRiYvWg7i80EFY/ErOyVbdV16+p7w/asQW8UyL69vnNbH8YnxRHoIgrEI5KVnmIN3THsHf/2ymZeSQ/68siUGuEYbxXFoowIoCaWx0gdjRZV8O7amo2nvvouOp4jGh00/PKaBdlafen3ZVzBayyZaGIpU0pqvk2bdHNqnQHo9gp2xHEZrvj6G4be6UL8XYnsdNnvQYwc6D5Z2ng06ewCgkQfmvhR6SDUKANquoHVDl6+p58A/SasbChpUo1FdqZSN2rSE/jTKYYuqN+CMEMTveTzHdyAerIRQC5DL10b9YleKQLiWg7HsZb7ewUdOuf6cVDzaYSvaac5DD8fc3HvkPsN5rs9t84bdka+a93udRd+pvtcpUH/2X3wsVlbCT8pTBR226IZDz/MxPMytRVVVm9/KnYrRVxX8DEvW5VV9oqVPxqVCS6nkgaU95j+99vAfyDEp01uUsdnDGYxFkldklU6Jwpwzc2NcA8NgrJj/DDwiRBK4jo4xiMiRaqpWaDqJ+k9LEIz1/Xbxs0JfMFZU7T7HxdWk68tGD+8yUP9v5Kjd4kkUzm39KhnUgtyMAvOKLTr6TwG959aidqZzAX5IhruEUXUHnPEy/PVLA90wmSb2L02Tv8LyApJXlIGcoUYQRaqVaNSpac9BnX/6uV3PPg1bNvuk1bwLQuRa2pbeqojM1zMYKxjtpezOYVK2WKP8OgEF26wRjqhgn6/rrtINWanAekjnZEuaT669cgkpHal3Wi2/JhwEy7GuB6fW//R9049U/alUEuX7LbsGOvTqMpOTD1I3yMlLARMckzyxkYHFttlLVp1zW4jGMo6v5ftBQt2Ata88R55QJ/NcvQi1FzVKowDBt2XNC3PDz8Kd5/Ff/7MvN/UStuWI+XjQUWEvR45jro8VfT/vopTn/rKOXmcV1i8HVV9LPAc7yLeBtRSY3YClAssLoPOw3iEo3RB6Zyo/ym+93my/SdjIxvNwRSfT0RlhX6msF1UJlQmpruXwDs+The0Uq+PS0rLn8fovldtFw7TX0mAsUKvkfSeTg2UFniGWst+8jEcBUV/0PyWOsm9NamzgsxmPssFtmUqL9A9Taa9fGsbkg6gX9YgjiLwM5ov0rHR3pJ372ayjYyIVH3hElBm6XYgKcd9cUMXPKAlgbcjHDrC2HARDannpeBJJAebbaPIi9JaVqcLdUpR5hf26QjshWl9avi1VcyF/YjX/n+fZ4vZ8/yKfQbF7oOnBCGTBPdbNmb8pzRs/XaP+flLJU/K1uOzdrZU9pvIZomupXiYLCIYrCLASwlLpWxOZvNSzIkQo+CW9ltuEszR8KyOa90grI5xz/Q++w9M1hXyrYtv203eeeizHZLFZtxK61VV/eC8USQ7GciftGjt15mjdv+G9mr2tKjxEXpriWfqTvHfw2y+beCkWrgWopKDRCj8/0UZxaKNC3OLkYCxTo+28tqF/Ie2yr4N+fVmr2OSWTVllslSQdXNonwKzoqA1X6Dd0JJX8jS9Bvu9ANsr1CvYsQOdB0s7z+b9UJN63QFAQ/LHshL6e/fsJ/mQ3nJ5eTWHahQAVeBgdYPcc+BLSKkbmkrR6aHUNslL6FejbPa4ijNu8vE9nPvEr18af2NJWEKwRtkdFo18NeTD8tMXjFWq7gp+KyzX+akx0Y6CLZbfYjj3zfmffrPijnBRKdqRv+aUk24+tEo9z+U9Xpp1nu6rPUSpZLW5d/hxpvvKyC+UG0H561Q8L/+a+2PT91Sb3IpqJKVSDjmKfDOF35TL83xH/w8jpSGH60SvisrsJC0UCJINimB5lWm5Vfw66OncNqp4NakfygPBWO/2kY4pXPCt95hCadLZzIlS3HcdGlFb9Z2iqLXkZhSYV8lai73RYNt/rKw+Q1MlfUkQupvhLqF0UBfnPNTJaOMu42liWJuH5QUkryBJzlCq1xvl2/VecTI5XdgMT6FG0iX79wjGCkZ7KbtzmJQt1ii/TkCBxguvGQbqSUpFs8udQnupptqFvKi1Vy4hdV5lYgcm3BAPr+XbBpv9+NKm+eOafFFF+xWRMgtrrmEOvaZshE5boOXAwLpBTr7Qt9PuCl/xOg931p5RKKpNzEfe0GrPnUXt5CN9xS6GTjeA7av9DOHgW7qhVA6S12Rt9hM1ikONchC1ZTMVysH70V8OPscPUZ0nfi0U5bBFVvludzp/fgv/n/v0hAb8qNXx02b+eDPXkVFfeL1lWL8cVDUt8RzsIN8GZnthdgOYStrjwStZP/+nHhMBfBtY7xCUbggdHJU/77debzRbzA/TOfbVxh76AHq6vlJZL6oSKhPSXcd80GuPcAaT59Ha7vJJhflrTz/DN3T2xZY+8k2+94dpLyyAg64isrsLapWBvK8QS9mvRhn3Dr6WYuyzGY+yc8D2WtK+gqoX5YgjqLxktaS5KN51oXjkWdbxHr7pvpiPBx4Rulvm4rSmhoMjuLUhHzvA2nJQDCnlBbMbMN9Gkxf5WE9OSGXn/doN/zbKdHpQLknwF1JdnEdH/0+Y5X7z65XCLDnnebGtWQm+CUSUGpbAf1pq/pEP8JhCoX2FZ868YNt1j4St6rRTdkpihbsufiE8lLq5UWiOKTTwu8xWEGAlhKXSKxLZugONAfSBDU0wlrfMRT77dPCa48/EKVmWebjzmwraxRQ5GCtre1+9O6evu80uracYiIszk5fRe2B8KFJR9w5+rU0gLyX8awE+JaGAIM+goo0KQgkhOg+zNrBU+qqF00Y5bH6CsVhP2u0/Zgxs9W9FVL1UPMD6somqE1g2KVPFGwKkgqybQ+UF0SiSnbEM1nxhdgOWCuz3AmyvWELo2MGrHnQeLPU8G3DdAUAj9899KTVK8pw5vwEeBk1Y+ZKA11DdoPYc+JJQ6oam8HR66KAuoV+NstljPhxwWDykKGXxd5r1L7qWArYAPBBLRr4a8mH56QvGiqvw+w03x7kvzygdLQZReZIXfFuwWJf5jz0cc+PXL+Pyfx5/1s1xrnMDqiu886javY7x31J4nh2fNmb8j6NU/wavv8r/jVWsOvDVkDsVT/Ku2f3FJKNnb77D7/7BOq+ObWS4u7iUShmMZY8tOvJ0JsuxWSd7VylVZloSPzvqt62SORywvOStMpz7hnxqFBKU+4OxYkuMvyh8W+o+Pra+N9rR+z2c0UBKe89k+oDcjALzKtVwrXiSV8aqLobKo/CuDBtSuEtYuPM84SBHLnuP4TdhxtPEhkUNeBOWF5C8Aiw5Q6EKb9Yevf0RI61TajVJ+O0vGKuK7hMKIoaUHRjfqVDWi94bCEZ7KbtzmJQt1ii/TkCBhvOu5IJgLIj2KlsutR7GvFun35gdV5+JW2SJzYXNunlocft6lYz6GkXDVOYb8muYQ68pBjmNIHWDfEFFbikmFttmd/yz554sXhCeJ6tVXwNT6wasfeU58hqhm/3Mc/Ui1F7UKI3Eg2/Lmhfmip9lW2zhl4OZlCU1CjkiYvuve8ly7mvrtie5ONZ5cnyRKEf+OvF/ujnO82Jxe8lZlXXD0A9S3TTxsanrbonnYAf5NjINKtsLsxuwVHIJVaIx/KGWF0DnYb0DtT7oHAYqvzdQva6a+GzUfaWyXlQlVCakvY7ps0o4Fc3zbGszhwgqNmrYCT48ns3Y2reKygGTdYNKe9UBHMDRDWm9QK0yUDBWgYbzQinlQBplMApQkG9jdAyW8QhRTmXYfFU31W2ZlLauZYkJqbQ3EA0D8sHWi2bEEWxeJoj8ES7z+VLhAzzWeWC49AUgPxspNEr3xSGfKWYppfcEZW3Ixw6wthwsQxp5SUAoJytAvo0mL0JvWZkq3C1FmVe4r6Mb/nyBn6XOPjj8I/GT4yKteq/ZuWbrzuXj278r5h4zaCu/yuE+P9ngrFVRZOGcx9Y2RpK8CtSffYnv4jnnsTF2gzV1/p0RpYftEo8rvjm/sm76jkYVpfl5jmIFAVZCWCp9XUgY6lOR3QlpMJaggW9U6jnnqvjxn+fWkg7qba4cQQRjUciLrO5aXQ0mFaR3CNQvG3splq0FwKwZ2iiO34oCbVQwrUmbVg7GYm5tnsVvpzdqSvywcRN+6Nur1hefvm2w+4bQtCHry/5sgn/Lpi2z1HzMU0HWzaF9CqTXIwjGMlrzlSpuBiSU98F+L8D2eusFGTv4qkznwULn2WhnDwA0cv/cl1IPqUYByoR01xDdgHgOfKkodUNTERo9hJTQr0bZ7I5/9DBe/6JuKWAL4AViwcjXX5/iq69GQHQ/fcFYsUWEg97c1+aUL9Zy/HWGYx7O5k+CLP/V+ucejv/O7K16wnGE2Qfax/pKFlFqyDbvIRyqWSv1DzYjcdh/fN2t3KkoT+uLebflksv8GZRs+smJDoOhmpRKFYzliIjrs0o4qvDitJYVwxuMFTCvmH/3TRQ+y/M829DDu++fSh65PxirfMst4imFqUs7SAtF0pe+bEZCK6MpzsC6SG5GgXmVqrNU+C6Lc27rWzFweVRCEX2+Wr2OCUFofiP5+DfDSiil4pxHvi8doy+h8TSxvpwkd2B5SamskDI/rdl48FnvaP/V1Z3DeraLrVTt3SKx+QuX+6BSo08H7xQOANMHY/2wTPhEnbm7rKbuDAIihjQdmFdM5NpLIh2DZ4LRXsruHCZlKRWd9kqpqDXKrxOQK4KxYNqrFD1AD4Xkb5X/utXoJevPPea3VhH+Y7NT1vRvQPaFoq/j1psg4B2YQ69EQbXIEaRukOclaS9nvjOWdOiw584ixZcBAN3w5UXTO+Q58hqhm/3Mc/UibMs+KRvv22Gzy/4hapQjsJ03058cvh9b8rcrLo5jM/e2LRHzfveEFyzn+iu+TF0+AIvNPtG7cuyb7TfyQxbXWd9nLZJuUPeV8Mpa4jnYQb6NRIPO9sLsBjCVd99EankB+i8fDZreAa4YkpNA5fcC6gUeBchVoyqhnApyUfbzZULkhyd1TTch9j2ySrvd/DbYbOaRruXUAzqfvCjtfJGgRzekVQO1Sl5e/o4pNLXYAI8IlpdvZyyaliLJi7otk9KWGpTmeSrtBZAPUb2IRhwhyotqDFLwq4VJQohn9olxRYT4j/w1JgpfhrKZf4wtrI8IgemhUmqEnh4fjEXflkPEkEheykpRXIN8G837yRnKCcPdUuSMLLiIbj1J2CUya9/g982yK95/Ix+M5bk+t43xF+fB7IxlDziPrbVXJIFEEXFDtgtTEkzK0k91U3Niuy7QeIHYYLMODPMGopkRCHBfWgvgKFYQYCWEpdLbMRKG+lRkd0o33yKcyMEkT2xkcDivzS59Jc5mrekqzeoHIOwoWDf+tHBiIXN/RS21QIMIxqKQF1ndtboKTwXrHYLol+lmUwPJC15x/ZvRRnEs2qhQahTvzzcQtwznnAc6xKlHTHoNlO6A1pcD2AQ/ls1PlU1SQdbNoX0KpNcjCMYyWvOV+PsBErI/gf1egO2V6kU9dpAS8rWm82CB82x0c1/A8TLobI2ckBePnWoUoJQX5TW1bsA8B75UlLqhqQi5HsJK6Ld92ewxH/T37oylPxnGaxwISwjWKDWQcI58A/QpoTCGvmAsx3t9+fPp3DcX1Gg46yLDeZ5sbChE3rzXbSe/nHApvlyT+VcZzvNiY8PCvpK98/024ZNRdfCV7heburOlsAOzUGjDTsVhs5evvUjYHcvzYnPfmrrT7qRU6mAsm710tTm3+OMT767pPyesO2Pxjcd/XvmqTTjKx5Nxnqdbm3q/oPWxUiy2KcckygfCfR3o/GB5j77MQ53LSA5TlHyK7fVfvzQc7AUqduSnPxwRPoly6c+yVKcF5iXXy3Nj3jdm8xf+Gky4S+irV8qUpiX1JSEKJFKbHv1LvHdgeflSQaVM01kWqMcbGY7jmNtrv9S55vm/+F046kcXjFW446yHwj7nL7c2KarWHLuDiKH00Q+XndguRvsGY6TkukEoIO1jwWgvZXcOk7IvFY32+lJRapRfJ8B0yUemCpZXdIMhgtpx2YnKgGO9VgC1Vy4h7zp7P5Cl0ENlcnvcB3X7jExIFiJnOdZ1Y1KTMvpyWnFHv5gd9XmzKStmLlk5/edvvMf3RLcYK8zCOv8YG6VfIxEG6oTkgcuBSnSEUvZpr+ZcZtlolKw2RzxfQrVfAkQ3fHnRtK88R14pBT/Xea5eqFFKaRLSgE0fKDPKrdf/7LaTN8vuv4bWqtp620sP5z4zsWH+6K9GXOKjsfYOrl14xGknv5fwhi/ls1p8FoCyr4RDsMRzsIN8Gx8NGtsLsxuwVL4SUsoL4Nv48qLpHeCKIXVwVH4UoF52B6SvVNaLqoTKhPTXBeoLn6Jx7Mtdg/iF5E96ruAnPtiMgyM+9n1mJqDzyYtGe+0OW/CjG9J6gVol1GIDpQzQqKi6A04Ln1QxNC3FJy/KtkxKW2pQmueptBdCI+h5G1WB/Y44coRhdKNhF4Td9F1nB9SItdljS066zIvf83JDz6qqzeqEigD1UAmBfNQGaMshZuhXXspK0VxDfBvN+8n9QzlhuFuKnJEFF4U7zRWO18xKGKA63FaZdZE+a/nAJs/DFZ0LKu8rrsmCeyycM49uOvqyMKOnOTrDV+bYosL33hzHXJzezPAIUeL5CqleqmCsQCsIsBLCUvlq7TX+ZPIy6Sl0b1ODKvXFiqf8rKhyq11VktKN1gkHR3iezm9bSp3WPEfBuvJTtLqv0UIUjBVIXqoqmJczRI8Be4eg+mUaLyVE1SSSPtootFGG87TBKCEoGAu0vhzIVphbNn+twyQVZN0c2KeAej3fDIwzYYCBV2wzXPMNRtC0acF+L8D2ymWjHDuoFIPOgwXPs1HOHgBo5P65L1ledoeNahSgTEh7TakbQM+BLxWlbmgqQqyHwBL61SibPa7yrGR+j1+tE64wv4TjZbAF0ADx/gzLyFdlAYzzVVQc8oAiGKtg+03PWY5JWdFt6iUX53m+ubc4VoyI+2lTGsu5/xr107IbDB+tpdhCv3SdpQ8Z/vPQxO90ERVC6ePKThcCpDyP5vD7bInFNetUHBFl+q0WRqrM3TX1YqRgIE0qbTCWI1/18YezWM7z6nKS8PWq382NyAZFUglp84qq2/+k8DkJm3V49JfeY/58gpF3PvAbjBVVKbb9sL4jRzStW0X3hiDlLU/CGnbMsfYBB4WNh9hX+4b+1zfFXLKqd9WZuTK7NWgLlkrt94r7U18Z8bnB7vGSYjiEj3jEFW66vN5ovjRZDO65u6auL+yPHFe4S1iy2twUsYBXZrbSh4sRBRL5FMl/vWB5BS1lmmCsNztufSlGLapP+BI1wTQYSzbu7guDa2oViYhh1Bf9Twnz9c7jP5TXWBgzquS6YfaGAPeD0F7a7hwmZWs1yq8TEDgYyw6VV1TtvifE7fFO9q6k1S6FjXIA9d7vqgAAIABJREFUtVfZfiF6qNOiyArVZlwW9pfzPDKft1WWPPTXeodeWU3xOmAwFjH5EARjkeYlx1q5z/32lUFHHN1sjLAHPade+QPpBqh95Tny/NctBL5NnqsXapSyyZPSgO6zoswrV14XqDvjPMN/kLGg97DNr1jWdX4Q76uIu0qwGYfGfruMHzQ5T45X7N4B65d1PQIFEGs8BwfItwHZXpjdgKXiNxuAjFNA/Reod6DQBDMtovGjQD4bqK9UlpamhEECiarb7wQ/tGezTvSqEvuP9hv5rZjZrD2Da+rCPkDaqwzQB49uiOsIapVAiw2UMkSjStVaLEwBcczVWa31cQwmI0RoWyambeJ102gvhEYY6mU64ghDXoHxxkb/fFzcE+b8lCYFCreZnMzHJDAP19U32sEdqIfKYpCP2iAzFWFgaCovpRWluAb5Nur3k/uHPvLhbinqEvryDcP9Ir1XiTsqbuv7lllGRXqu5E9YYNM29zKbbg3vPLa6YGR5lawxX5jhZJ1Hx9TTfUrN74wy8E9xq6WUqc0Mvkc1MZKGIpDm53XrQH5XEGAlhKXSFpuMoTYVGZPYEuMuCPNW7rOTDGcqmoy8JKyamRzeapxLdL2f+MPU+YMnu6v3/gxdMJb/FR8YDWAqYO8A6pctXAsA0UAbxaCNAmmOuuNQGRZIMBZsfTlQyc0tm6rAmrqYpAKtm8P6FFivB1vzDcRQAyeon1C/F2J75XrRjR1UikHnwVLPs0nfeNOtO0BmlvLA3JcsL4cNvK5HrZx0ugH0HPhS0eqGkobDRqyHwBL6bV+26CajxK8vmJQpZv486XgZagH8SDbUI1+VBfCTL/xPimAscQ9h5vGxXX+5OTZtQ8/K3knGyOqd9meynPvs/iP3GM55amJROWg6usW4a3yEieuv+DiDgwV51Xm7w2b+SA6OuTKjpfQ1jGmnYrPHfjL6jDBWdZ6a+JX0vKiCUipdgJQtsuo3O4QvP/ihA8eFMxgrUF4xH/VIEA8E97w8NbBuWbUICYKxIit/seimeAQV67ozv0M13VSvukHSyd5fx/xGtZ83C5FwHJMys3V5ZcnfaDRfXHdm08+NaFhO+Sey61J1xW932HSfXpmUHJhX4VYTrgvBTqzr6vJu/yerqEkuumKHvYQFvXt0c57Uoz0/1U5GmEwTA2UNywtIXiZME4xV8Js14hZXGXsG/dsX9uetr2kwlr1Mkw1CS2edx36pp4mQIGNY8dtdQvgKcz++BeFXYhS6odMrMgnCtZe6O4dJ2VKN8usEEARjgeVVttU2YW5fFTpsIEGo9ipfBdBDZXLvtUSDy9oz6D25JVp5AXToNXUhJQ8ZcmhpkOYltxTP451fl9UEbsb+r/cesbfkw9MVe4XCdAPSvvIceULfJs/Vy44apWzOpDRC0ZaV+VJdx9q/nbXt2vP0zCdn1g8vWYwqbaCHP+m3ll9Lc186fzWTZbNPTSwmuKP568SfdXOs8/q5626O04bPytYG6mMHKpXWDFrkOdhAvo1Mg8L2wuwGLJXdIZeQTl4g3wbSO2jFTaseDpudxo+C1Qs4CpDrQlPCYIHEfNRnL/+pEuu+MK1NoxV8589mHete3iBqX9YNCu3lixf86EYmE+gC1CphFhvmEcHyeqvVilviNMCrkwPqyJ//eWm8/cPuLH6GyHNtTmvlB1GyvOjacrAaRaO9oPYVjnqZjTjCkVfA0XREqZ82Ch91MXeWN+628YE402j0tZvN7gDqoUrK5KM2SFsOB0MzeQVka/wAyLdRv4rYP/SRD3tLUZcwkPH0FYz+ScegrfwRhOyrTT3NAq1sRbovET6Kzdr1k9nuWWTBPVbOmTveaDDnEsN/YcncXl03VjNejvmo82Yhep11X51d3mSxgFgKUr10wVh+VxCAJQxJvcjkRa9OgioW/HrVXaHXcyfNr6w7MeCtxvO9q2b3V9ZWzFT4px1Rbuh2Yd91z/ONDeUdfIXsQhiM5V9e/ksY2r8CewdQv5xD/jyxdqGNQhtFvYIWSLsAwVjA9eUAJfFj2fyYFLNUkHVzO6wngvV6wDVfPyhC/ieg3wuyvXLhqcYOcirhgsqDhc+z0c0eAGjkhbkvBXmaUUAwLrrdQaUbQM+BLyG1bihoOGzE6w7AEvrTqNhCP+6X1r8WVjX1KknHy0AL4FfKIR75+s1LLZcAHZDJw4pgrHxVxh92cazb5fSwbMaBDqXl0VSsfcgfmSzrcblcLJuZ0F8eH+arPvGYsC3449VdzAaWEeVH7xe+h3GemVTc28H76VQcthJd5t0T9tx9mtDGVwaHzS6l0gdj2R3/aL3ytjAaCXswVsC8or/seyyNrwDHMk9Oje9c758+KQYOxspXYdQ+MRRLeIPz1ARf6JvvPTBh8wyLjz0v7guk2rIysmzR7+J33BVOWGQ9KRv7/J8mPibq07Y7hZg6jmVenJ/R/+v/0zS/qPKFv2oeaerAxUaPOCWEwLCZFxd8FqeYv46q+Enjr/6jTAjMK+b/uu+4L3DnWOftxNmt61VVzrcKDaD0f2rUeV9TNS/V8JcwqlaHPWLIIJt9e3ffJtWVsYZkgUTEcoflBSQvlYomGCui/Ki9gp6zWZentKmhCasyD8aK+Vd3ryJ6nh8f2qSK8gs8MoZxlWaKmyt67m/rb/cpXumPa9X7IHjdADZSsPbSd+cwKVupUf6cAIfUxeqOsPSRp2nLvlS8eSz52xXBPHqe7BtZ3GfiStvrNvjIpyoOqPZKLYXPlFwP40oPXDT6x/bFYxRmUyx2VNU6C5KE3tWTsri9ztwpswvbNdShV3skpORhS3TAvKI+67BbtNie1NMLGlSW1/ZKF+287JR4QqQndVv/WkorBNQNQPvKa+RJfZu8Vi9yu2FDjVJY0VC0ZaBZy1d+2I5X/LqR6GWfGNdQ44GoLQZlLvL20fwgIHv/z7W99iH6y0FnBR+bv+/cN+RT1YcWsH5Z1X9RldMqz8EO8m0ALQVmN2Cp+E3+QGMimG8D6B3giiFrEY0fBaoXsK/0VY2mhL5UcgUpL4p3mn1XnJq4cZn/4opNPzjif0qDJmcB0F4+bfCjG/IagVqllVIG5WWLqtvrKB8JywfNPTo+sU+bIrGl3yhS0f55h28nbjrxhD/VTh+MBWzLsriBFzTaC6QBslF20IgDZg+B6GQ9L19/Jb/NJOdJf/yMn2Fis870548slB/wXQRtbahGbaC2DGQIkpcRIkNuqpsw30aVF/FYz5cq/C3Fl5dPYVQVD9EDEeVG7eMPCfA8W9tNv3WfN8fCXRYI585lHxqhnYmVikEW3GPlnLnDFlXzu13ip5JMyu5fyjl8KwgftYhPFGrEeV5s7K32e6Ua0dCW6mUQjOVnBQFawlDUi0xeUN0r2m76HXHNIevCkh7RvpkrR8FKPWZcFlcUPDcWtlNtxhZZvc3ifTNGdI+Li9PAL1C23ZCDXoE929rvX+p50ZAGY/mVF0Q3gAyBvQOwX7ZwLYCeIdootFFRhuMael3yGRb6YCzo+rLDBrNsoFSAdXOeCaRPgfV60DXfYGRNmxbm98Jsr69sFGMHnxrzyak8WMA8G2TdATKbmifmvnzyohkF+FLB/AEK3QB6DnwJ6XVDVS9SPQSW0Kx9FapRbfjOa0I8B+dJ3d5fmt9WlU3ETrzKCbMAsJkKg3LClCS0qRTBWLbiP67PFNcn2MzDo/6n8L/zVfn1kLDky3Geu0s6SIu+MR/9eFDcxWrfYPPxVfTXE2/ysyVs1uHvy4jDM7+dij22+OgzfEFY91/xLRXjVSmVUTCWsGeaONFmsDNW/qrdB0yZOXoq/2/MvIPSeXaHp07z3hw1plth1cc68Lxsdkf+yv1X3JEXXdzPb57etH7trKVrlmw/fum5eN/0mML8X/x+XtgbWFgm0hwKGbzs5Y7Zc+/k1jmLFv82Z+mcDYnHbr+S2HmenZhWpYQ8ivblGFH2hznXxfbHC9P1MuX0kQMbtm5ftW1vwh+Xbrxwsi5/Z3vlqzJqn7DpDC/X1FuH9+9evXnH+r3H/7yf4cnY00Z9sCAwr8gqdeZcEpfIhclYV2rKpQP7967dsn31jn07j15IepLFZO5rG+OrlLKLtaCE+SsPWH1P+HaM41g2+8Hl41u371i1dc+2I+evPPHaNs03u8oSUl3D8gKSF60bTTCWLbJyo9UPRBasJ/3myT0LF84fO23mmPj5UxatX3UkWYhnNAq4KdJ85AWvHrLMq+unElet27hkY8LWI+cvP/ZOOvhnKH+WxLHMs2vHN2/duX7fybP30t0Zu1t/EgLdoBKT72Gg9kK6c5iUrdMoMydAUDOCYCwHVVv2icDuyP/59DOihWY9aXf+3LZt5/q9J/7kdUNto8Daq/ADSPUwqnaf43yEGOt8nnT64KoVyybPmP1L/ILf1+w5fCvN24KcSb82kkOFjHVYWc1QXoMdegUKvtMkJB+0blDkxXflP631WimOdT69cHT/uh2JB5Kee70hlrm3Y1AhlefgAFs26vaV18iT+jZ5rV6oURp7YmVb1mRN+PPNjluErQdEL5tzHh8bHcrJx9L1V4krGRybntjBt6lebOERp7yfWjC3f/tKuz0qrF8mrLLuMes8BxvIt6G2vTC7AUsldF4QeUH7L+reQd296qRP5CRQ+FGwegXtR1GUMARAYkuMPedtv7xD9mpjr6qqeEpFFtTaK6YNenRDIWhAq7RSyrC87I43avy8UfLZvPZd+3/anbFsdgekLSvETYFdkYpCe6E0IPWCjjggeSlowBgWqDvjnDR7xZ8NvKWffqdt75uDtjb89lrSBueBZw9AbRnCECovEHCgb6PMi9Q/VOiGBS1FWcLwXeer5v2A+dGKzorJbXV3XLjjbP4QXP4k6yIKv9TKeWz6vPgq5K8yxHu6Ase6XiTt3rx25tIN64/feeUR42M99xMGFVLUCMpZmp83DMYyXUGAlzD4eoU3GMsea++5S9gXkPdL0u+e37JuVfyiVUt3n7vtXdPhPI8TvlHv4pmv4qh9wl9ZV2rS6YOr16yaPm/x9KUb1hy6fD9LFBjneXV6QB3tOEUOxnIn7RorrKqIayvq/50xqHN96RMXuLygGqJuUApLYvpCWO8A7ZdzxJ83rbuaD9ootFG5IBgLvL7sgFk2WCr6dXOvaaLvU2BWFL7mS2guQvIYxO+F2l65wBRjB7WFpPFgIfNskNkDAI08Mvcly4tiFKCWl/wG8gsK3YB5DnwJIbqhrAKpHsJKKGsU63yafH5Pws7l67as3n3yrydO1hsoxNzZMiBas/6lJk8+XoZYAEtHvvQupRqFUnBG18pgrELfTLktfl3hPDTic+VmD7bo+gPF48M598lxX0oedjnvkWFM8oRG2k8rFJmVb7FF3O42deX34uF3/jsVR0Rc39XPhS9QX+xp643fCrAzls0eW3j4Se+4Q3dMYcHWq717Jmln5by/PQ9XqffvlUpoGPjlNy+x4gUqdZv4xxMpIEufq2kwlq1Y+99TBCnwiTz3VneV9yFTIAWrhdwx64vEsa4nRxb2dxQ3fXn+sh1+3psiDe50b2AezvxaO2xTlLl03PAjj7yRSOq0zLVf6mn1B5hXZMXygzedS/WOJNXZCL/86aoVJXyzRv/ZF16al89gmljB0FQ0hs/A8gKS54P9a/USNsrzf06oXNSIEi37738gx/cZCIszCsbiZ9sHrUr2ky4Qw8hqjZYn+9ZU5IyZJL0eSqWl0w0pFZ28bBDtBXbnMClbpFGyE5C9p43OHJEEY9nsUHlFVvj0d0VAp083tDYKrL0+3SDUw6JdF3lX9uXSqC7YzNurBzRUffJI5wRQaqnm5UE49D4UdoeNkHwIdIM4L6Gmb9casvSaN45YzT3j8vqhsUYHnIF1g6595TnyhL5NnqsXufaiRik9vZC0ZY05Ivv5RvOl4icZYot2XZxudsy6ykaRvdxmj/nfkOP8WTSc58nmPsqtWCPK/bxD2LeFzdjzjcPA8ML6ZVAhLfUcQL6Ng872wuwGLJWkCdTyCkLn6XoHqYQg3ZA1k9iPgtYL3FdK9SIuYSiARMT1kcIs+biPJkZNWCoYpfZKxQt2dCO9Ry6GvwvaEYeVUobmxUfMVOn129EH2iEe63z0WNzolEma3Vq5L7WIiLotU6E2fphYe4OgQV2vIEYc1HkZY5HtD8FFVM3v94t7oXEcc2tyE38fpQRtbRw2wlGbUC9YW6ZmGIS8/BkHY9HAfRtfXoRjPVUBrGgpvhKqsiZQQuLn838ef47/2lb5VbPu/YW++104HULjl1o5j02fl7cW79T/ZVOK92Ml9XjZeXPn6DK6+RwQc2l+3jgYy2wFIagSBlmvMAdj8XMaFUYm3jYCz2/Pezfxx4YVNIHjbzaeevCRcQJBcKzz4bERLauqVoIEPZeDsVTy1f5Q7v0WlLxAGqJrUwQtFNI7BNEv54Q/T4QFbVQoVC4onYdZG1gqubLhtVHUO2OB15cdMMsGS2WjXjf3tUFKecE0Kqg1X1k3LLig9nuDsL3e6tCMHVQEKDxY4Dwb3dyX3WHpzlhCZ5oD8gKv6xH0/ir5CnvXhX9cCdQNX1GJ9TAo30br2vG/WSb1zLIfi6sPsPYVTAZOM16m1ihLR74+u21QTbm+8AtlMFZUrV5/CGc0uc8PqqnZ6Ds2btIlYXeO7E09K3iLUqjtVCFsiH21s4XJjjLCk7GFR53mN2bmPLcXtRN21QrQqdjspavPFU4dZF1nJjWWYr+kVMYBUo6I0gM3vRQC9sIejOUvL5+cIivEdBw/bdupi/dSM9welnGmvXiYdO7Y6sXxXTu0+F8xg92nhLQx7zedtDEpNcv5MmlffK1SZo/BNCPm383Hzth88OiVlHvPXqW7GGfmy0f3bp7Yv3XK+MG1qpTTjNZ8dfFpWOmo5kNHrUw8dv3h80wXw3pcmS8f3LqUuGP1yIFdSvg2pjYsXqnIr3+ZtvPM5QcvRSCvHt8+sXfN8H7tChkP0YF55Y9r3HjY3Pm7zvx19+mLTDfDuDLTX6TcvJS4Y82YwV0dMX6QWlLC6OoVe06ZkfDnlfsv0lweD+NKT31y88rZhM0rRg//sUaVskbYDXkS3ATmBSJPGYzFVzOyXNFvRo1bm3jkr5vJj19muFwZL5/dvX3z/LnTu3ZsjI+f3LWV8RaIEY7GLSdtSLiQ8jjD5WFZxpX18tmDpIuntq5fNnJY/8+qlgvAMLpatcFLN5+98zjDzbizXjxKPrF/w9hBHYsa66HImVY3CKTja1a+hym1N5juHCRlCzQqeCebBwuVV2TFMn3mrz2V/DDdxTDZqY9vndy/8dfBnQx0A6q9PuUk08M3y7VqOWLugl0n/7z56HmG0+VhPe7s1Mcp50/smz9teJ2qIbUYRjrpK7D+r8EtZqveTEI+NLrhsJHkJVe2WJ06g+evOHbtzvOMbGf6k7tJ+zfM6/Z1HX8BcGDdIG9feY88mW+T9+olWG/UKLm98D07gRUNVVtW5kt4HV2/2/6n0qcBbHrCT+8TJiR77I0mi64zHMfcm9GqjMrE2Ss228if9+26MC3G9IsiUL9MVjBFYSz3HOwOSt9GaFbkthdmN2CpVLRp5BWkzpP3DqoS+txLhQIQ3iTzo4KpF7iv9NaRrIShAVKqQvw14SMrz52lHd8O+E5y7VW8KtjRjeJVJOKmaJVWSjmYvHgCZewNe3QdN2fK4tWzFi0cNWpw/brV/91rbxY/E8X8Nb2ZPhhLYEXTlik5m8iCTHuDpUFXr+BGHHR5mWAhtE78Y++0W3dX2Hw/4/ivRQPuuxOstXHYyEZtYr2gbZmOYXDyokBtszuC822kvEj8Q237sqalSCXU5h6a+wUazU8SjtW8tVCcDDd6baG2U4VT59w35ldSeIn0AVJWzpn7KhJRosFXoxavO3njzrOMbGfGk3vXD21d3Kf9l+8oTtsIrtVL9TIJxjJZQQi2hMHUK7yBDl5djXnnsx4DFu85cu3h80w3w7gzUh9ePrVnxi89Ysxm5gtXL9tx9C8r9hy4lPLwZbYws5T5/EHyycQtE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" alt="" data-attachment-copy="">Take particular note of the default credentials and the address to find the console in your web browser.Username and password are the same as the credentials shown above.Once logged in, you should create an S3 bucket to use for the saving of the Kubernetes objects for later. Name the bucket "kubedemo"That is all the setup for minio.data

The output should be similar to the below. Pay particular attention to the credentials and the address of the web ui.

Image Added

Navigate to the web ui and enter in the credentials.

Image Added

Once the credentials are entered, you can create an S3 bucket called "kubedemo"

Image Added

That is all the setup required for minio.

Velero Installation

Firstly we download the required version of the velero client, untar, put the binaries in the appropriate place and delete the tar.gz

Code Block

language	bash

wget https://github.com/vmware-tanzu/velero/releases/download/v1.8.0-rc.1/velero-v1.8.0-rc.1-linux-amd64.tar.gz
tar zxf velero-v1.8.0-rc.1-linux-amd64.tar.gz
sudo mv velero-v1.8.0-rc.1-linux-amd64/velero /usr/local/bin/
rm -rf velero*

This completes the installation of the Velero client.

Then run the following to create a credentials file that Velero will use to access minio. Change the credentials accordingly.

Code Block

language	bash

cat <<EOF>> minio.credentials
[default]
aws_access_key_id=minioadmin
aws_secret_access_key=minioadmin
EOF

Finally, we can install the Velero components in the cluster with the following. Change the IP of your minio installation accordingly and make sure you provide the correct path to "minio.credentials".

Code Block

language	bash

velero install --provider aws --bucket kubedemo \
--secret-file ./minio.credentials \
--backup-location-config region=minio,s3ForcePathStyle=true,s3Url=http://172.17.0.2:9000 \
--plugins velero/velero-plugin-for-aws:v1.4.0-rc1 \
--use-volume-snapshots false --use-restic

Once this executes successfully, Velero is fully installed. If you check your Kubernetes namespaces you should now see one named "velero" with both Velero and Restic pods running. Restic enables us to backup persistent volumes that are stored in our local file system.

Patroni Setup and Installation

Once minio and Velero are set up, we can start to bring up the Patroni installation. Details about Patroni for Postgres and what it does can be found here and in out investigation wiki article. In brief, what Partoni does is make the Postgres distribution High Availability. It sets up a cluster of database instances (number is configurable). It will elect one as the leader - this election is done in a quick and efficient manner to minimise downtime. Data is synchronised quickly across databases so that they always have the same data. Kubernetes will quickly spin up a new instance if one of the current instances fails.

We have provided a helm chart for Patroni that uses the OOM common helm named templates for some of its operations. In this way the Patroni chart will fit into the OOM repo quite easily. We have provided the Patroni chart and common chart:

View file

name	patroni-0.12.1.tgz
height	250

View file

name	common-9.0.0.tgz
height	250

These can be used in your local/remote setup. Here we will detail how to set this up in your environment.

Once these charts are pushed to your "local" repo and Velero and minio are running, you should create a new Kubernetes namespace called "patroni". You can do this with

Code Block

language	bash

kubectl create ns patroni

Make sure the charts are visible in your repo.

Image Added

All of the Patroni Postgres database instances will be created in that namespace. Next, we can simple install our helm charts in the Patroni namespace.

Code Block

language	bash

helm install patroni-velero patroni -n patroni

Once installation runs without error, you should be able to observe several things in your cluster. We look at the pods that have been created:

Image Added

We can take a quick look to see which of these pods has been elected the leader of the cluster currently

Image Added

Here we can see the pod patroni-velero-0 has been elected leader and the others are replicas. We can see what happens if we delete the leader.

Code Block
kubectl delete po patroni-velero-0 -n patroni

Very quickly we will see that a new leader has been elected and that the deleted pod has been recreated as a replica

Image Added

So, at this stage we know the failover mechanism and leader election is working properly.

Persistent Volumes and Storage

The charts used have been setup to use persistent volumes and claims in the same way that this is set up in OOM. The volumes are mapped to a local drive. In a cluster, this will be the NFS and you may have to configure the chart to point to the NFS but on my local setup I have configured it to point to "/home/postgres". If we look under there we will see the backup directory and volumes for each of the database instances.

Image Added

In addition, you can see both the persistent volumes and the persistent volume claims in the Kubernetes namespace:

Image Added

I have set the capacity of each in the chart configuration to 1G. You can configure this in the Patroni values.yaml.

Add Some Data

The next step in the demo is to add some data to the databases. Once we add some data, we can create a backup.

First, we look at the patroni Kubernetes service so that we know which NodePort we can connect to from outside.

Image Added

The NodePort in this case is 31957. In this case we use Intellij's built-in database client to connect to the database. Once connected, we should see something like this:

Image Added

User is: "postgres". Password is: "tea". We use the interface here to create a new schema - called patroni and a new table called "patroni-db". The SQL to create the table is:

Code Block

language	sql

create table patroni."patroni-db"
(id bigint NOT NULL,
  name varchar(255) default NULL,
  phone varchar(100) default NULL,
  email varchar(255) default NULL,
  country varchar(100) default NULL,
  PRIMARY KEY (id)
);

Then we can add some data with the below:

Code Block

language	sql

INSERT INTO patroni."patroni-db" (id,name,phone,email,country)
VALUES
    (1, 'Juliet Oneal','(455) 278-4852','et.tristique@hotmail.edu','Austria'),
    (2, 'Yolanda Russo','1-355-528-2157','nisl.elementum@outlook.net','Colombia'),
    (3, 'August Sutton','1-259-524-1472','id.risus@outlook.com','New Zealand'),
    (4, 'Lana Mann','(732) 135-6552','sollicitudin.a@google.com','South Korea'),
    (5, 'Logan Harrison','1-703-292-0386','vulputate.risus@google.net','South Korea');

Once we have confirmed that the data we added is actually in the database, we can begin the Velero backup.

Velero Backup

This process should be very simple as the Velero cli is self-explanatory - we are going to backup the entire "patroni" namespace - this will include persistent volumes and persistent volume claims.

Code Block

language	bash

velero backup create patroni-backup --include-namespaces patroni --default-volumes-to-restic

Once this runs, you can view the logs/output to see if backup was successful.

Code Block

language	bash

velero backup describe patroni-backup

If you see that it was successful in the output, we can look in the minio "kubedemo" bucket to see the objects there.

Image Added

You should see something like the above - and the backup is complete.

Delete the Patroni Namespace & Create a Velero Restore

To delete the namespace and its' contents run:

Code Block

language	bash

helm uninstall patroni-velero -n patroni
kubectl delete ns patroni

Ensure that all pvs and pvcs are deleted.

To create the restore - it is again, a simple command:

Code Block

language	bash

velero restore create partoni-restore --from-backup patroni-backup

Check the result of the restore with:

Code Block

language	bash

velero restore describe partoni-restore

It should show everything completed successfully. We can check the pods, pvs and pvcs and we should see everything works as expected - including leader election:

Code Block

language	bash

kubectl get pods -l spilo-role -L spilo-role -n patroni
kubectl get pv -n patroni
kubectl get pvc -n patroni

We should now check the database to see if our data has been restored. The NodePort will have changed on restart, so we will have to check that again. Once we have that, we connect to the database. Checking the table we created, we should be able to see that the data is restored:

Image Added

This marks an end of the demo. To summarise:

We ran minio to simulate AWS storage infrastructure
We installed Velero in our cluster
We used the charts that were provided to install Patroni in helm/kubernetes
We added a schema, a table and some data on the Patroni cluster
We created a Velero backup of the patroni namespace including persistent volumes
We deleted the namespace and volumes.
We used velero to restore the namespace and volumes
We confirmed the data was restored

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Introduction

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Running minio

Velero Installation

Patroni Setup and Installation

Persistent Volumes and Storage

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Versions Compared

Old Version 3

New Version Current

Key

Introduction

Notes

Running minio

Velero Installation

Patroni Setup and Installation

Persistent Volumes and Storage

Add Some Data

Velero Backup

Delete the Patroni Namespace & Create a Velero Restore