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[Catalog] Update Catalog items
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Signed-off-by: l5io <[email protected]>
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leecalcote authored and l5io committed Jul 2, 2024
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version: 0.0.1
name: pod-readiness
displayName: Pod Readiness
createdAt: "2024-07-01T12:40:18Z"
createdAt: "2024-07-02T00:24:53Z"
description: Pod%20readiness%20in%20Kubernetes%20indicates%20when%20a%20Pod%20is%20prepared%20to%20handle%20requests%20and%20execute%20its%20intended%20tasks.%20It%20hinges%20on%20the%20successful%20initialization%20of%20its%20containers%20and%20the%20positive%20response%20from%20readiness%20probes%2C%20which%20verify%20the%20health%20and%20operational%20readiness%20of%20the%20Pod's%20components.%20This%20readiness%20status%20is%20crucial%20for%20ensuring%20that%20services%20can%20safely%20direct%20traffic%20to%20the%20Pod%20without%20encountering%20errors%20or%20delays%20caused%20by%20incomplete%20initialization%20or%20unavailability.%20Managing%20Pod%20readiness%20effectively%20enhances%20application%20reliability%20and%20performance%20by%20enabling%20Kubernetes%20to%20efficiently%20distribute%20Pods%20across%20nodes%20while%20ensuring%20they%20are%20capable%20of%20fulfilling%20their%20roles.%20Regular%20monitoring%20and%20adjustment%20of%20readiness%20probes%20and%20configurations%20are%20essential%20for%20maintaining%20optimal%20application%20responsiveness%20and%20resilience%20in%20dynamic%20Kubernetes%20environments.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: example-labels-and-annotations
displayName: Example Labels and Annotations
createdAt: "2024-07-01T12:40:15Z"
createdAt: "2024-07-02T00:24:49Z"
description: This%20design%20contains%20example%20of%20how%20label%20and%20annotation%20can%20be%20created%20and%20organised
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: pod-resource-request
displayName: Pod Resource Request
createdAt: "2024-07-01T12:40:18Z"
createdAt: "2024-07-02T00:24:54Z"
description: This%20design%20focuses%20on%20specifying%20the%20minimum%20CPU%20and%20memory%20requirements%20for%20Kubernetes%20Pods.%20By%20setting%20resource%20requests%2C%20this%20design%20ensures%20optimal%20resource%20allocation%20within%20Kubernetes%20clusters%2C%20thereby%20enhancing%20workload%20performance%20and%20maintaining%20stability%20across%20various%20applications%20and%20services.%20This%20feature%20is%20essential%20for%20fine-tuning%20resource%20utilization%2C%20preventing%20resource%20contention%2C%20and%20supporting%20efficient%20scaling%20and%20management%20of%20containerized%20workloads%20in%20cloud-native%20environments.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: istio-operator
displayName: Istio Operator
createdAt: "2024-07-01T12:40:27Z"
createdAt: "2024-07-02T00:25:11Z"
description: This%20YAML%20defines%20a%20Kubernetes%20Deployment%20for%20the%20Istio%20Operator%20within%20the%20istio-operator%20namespace.%20The%20deployment%20ensures%20a%20single%20replica%20of%20the%20Istio%20Operator%20pod%20is%20always%20running%2C%20which%20is%20managed%20by%20a%20service%20account%20named%20istio-operator.%20The%20deployment's%20metadata%20includes%20the%20namespace%20and%20the%20deployment%20name.%20The%20pod%20selector%20matches%20pods%20with%20the%20label%20name%3A%20istio-operator%2C%20ensuring%20the%20correct%20pods%20are%20managed.%20The%20pod%20template%20specifies%20metadata%20and%20details%20for%20the%20containers%2C%20including%20the%20container%20name%20istio-operator%20and%20the%20image%20gcr.io%2Fistio-testing%2Foperator%3A1.5-dev%2C%20which%20runs%20the%20istio-operator%20command%20with%20the%20server%20argument.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: accelerated-mtls-handshake-for-envoy-data-planes
displayName: Accelerated mTLS handshake for Envoy data planes
createdAt: "2024-07-01T12:40:33Z"
createdAt: "2024-07-02T00:25:23Z"
description: Cryptographic operations are among the most compute-intensive and critical operations when it comes to secured connections. Istio uses Envoy as the “gateways/sidecar” to handle secure connections and intercept the traffic. Depending upon use cases, when an ingress gateway must handle a large number of incoming TLS and secured service-to-service connections through sidecar proxies, the load on Envoy increases. The potential performance depends on many factors, such as size of the cpuset on which Envoy is running, incoming traffic patterns, and key size. These factors can impact Envoy serving many new incoming TLS requests. To achieve performance improvements and accelerated handshakes, a new feature was introduced in Envoy 1.20 and Istio 1.14. It can be achieved with 3rd Gen Intel® Xeon® Scalable processors, the Intel® Integrated Performance Primitives (Intel® IPP) crypto library, CryptoMB Private Key Provider Method support in Envoy, and Private Key Provider configuration in Istio using ProxyConfig.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: minecraft-app
displayName: Minecraft App
createdAt: "2024-07-01T12:40:20Z"
createdAt: "2024-07-02T00:24:58Z"
description: Deploying%20minecraft%20application
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: fault-tolerant-batch-workloads-on-gke
displayName: Fault-tolerant batch workloads on GKE
createdAt: "2024-07-01T12:40:31Z"
createdAt: "2024-07-02T00:25:17Z"
description: A%20batch%20workload%20is%20a%20process%20typically%20designed%20to%20have%20a%20start%20and%20a%20completion%20point.%20You%20should%20consider%20batch%20workloads%20on%20GKE%20if%20your%20architecture%20involves%20ingesting%2C%20processing%2C%20and%20outputting%20data%20instead%20of%20using%20raw%20data.%20Areas%20like%20machine%20learning%2C%20artificial%20intelligence%2C%20and%20high%20performance%20computing%20(HPC)%20feature%20different%20kinds%20of%20batch%20workloads%2C%20such%20as%20offline%20model%20training%2C%20batched%20prediction%2C%20data%20analytics%2C%20simulation%20of%20physical%20systems%2C%20and%20video%20processing.%0A%0ABy%20designing%20containerized%20batch%20workloads%2C%20you%20can%20leverage%20the%20following%20GKE%20benefits%3A%0A%0AAn%20open%20standard%2C%20broad%20community%2C%20and%20managed%20service.%0ACost%20efficiency%20from%20effective%20workload%20and%20infrastructure%20orchestration%20and%20specialized%20compute%20resources.%0AIsolation%20and%20portability%20of%20containerization%2C%20allowing%20the%20use%20of%20cloud%20as%20overflow%20capacity%20while%20maintaining%20data%20security.%0AAvailability%20of%20burst%20capacity%2C%20followed%20by%20rapid%20scale%20down%20of%20GKE%20clusters.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: default-ns
displayName: default-ns
createdAt: "2024-07-01T12:40:23Z"
createdAt: "2024-07-02T00:25:02Z"
description: This is a sample default namespace that can be used for testing.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: run-daemonset-on-gke-autopilot
displayName: Run DaemonSet on GKE Autopilot
createdAt: "2024-07-01T12:40:31Z"
createdAt: "2024-07-02T00:25:18Z"
description: GKE%20uses%20the%20total%20size%20of%20your%20deployed%20workloads%20to%20determine%20the%20size%20of%20the%20nodes%20that%20Autopilot%20provisions%20for%20the%20cluster.%20If%20you%20add%20or%20resize%20a%20DaemonSet%20after%20Autopilot%20provisions%20a%20node%2C%20GKE%20won't%20resize%20existing%20nodes%20to%20accommodate%20the%20new%20total%20workload%20size.%20DaemonSets%20with%20resource%20requests%20larger%20than%20the%20allocatable%20capacity%20of%20existing%20nodes%2C%20after%20accounting%20for%20system%20pods%2C%20also%20won't%20get%20scheduled%20on%20those%20nodes.%0A%0AStarting%20in%20GKE%20version%201.27.6-gke.1248000%2C%20clusters%20in%20Autopilot%20mode%20detect%20nodes%20that%20can't%20fit%20all%20DaemonSets%20and%2C%20over%20time%2C%20migrate%20workloads%20to%20larger%20nodes%20that%20can%20fit%20all%20DaemonSets.%20This%20process%20takes%20some%20time%2C%20especially%20if%20the%20nodes%20run%20system%20Pods%2C%20which%20need%20extra%20time%20to%20gracefully%20terminate%20so%20that%20there's%20no%20disruption%20to%20core%20cluster%20capabilities.%0A%0AIn%20GKE%20version%201.27.5-gke.200%20or%20earlier%2C%20we%20recommend%20cordoning%20and%20draining%20nodes%20that%20can't%20accommodate%20DaemonSet%20Pods.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: apache-airflow
displayName: Apache Airflow
createdAt: "2024-07-01T12:40:22Z"
createdAt: "2024-07-02T00:25:00Z"
description: Apache%20Airflow%20(or%20simply%20Airflow)%20is%20a%20platform%20to%20programmatically%20author%2C%20schedule%2C%20and%20monitor%20workflows.%0A%0AWhen%20workflows%20are%20defined%20as%20code%2C%20they%20become%20more%20maintainable%2C%20versionable%2C%20testable%2C%20and%20collaborative.%0A%0AUse%20Airflow%20to%20author%20workflows%20as%20directed%20acyclic%20graphs%20(DAGs)%20of%20tasks.%20The%20Airflow%20scheduler%20executes%20your%20tasks%20on%20an%20array%20of%20workers%20while%20following%20the%20specified%20dependencies.%20Rich%20command%20line%20utilities%20make%20performing%20complex%20surgeries%20on%20DAGs%20a%20snap.%20The%20rich%20user%20interface%20makes%20it%20easy%20to%20visualize%20pipelines%20running%20in%20production%2C%20monitor%20progress%2C%20and%20troubleshoot%20issues%20when%20needed.%0A%0AAirflow%20works%20best%20with%20workflows%20that%20are%20mostly%20static%20and%20slowly%20changing.%20When%20the%20DAG%20structure%20is%20similar%20from%20one%20run%20to%20the%20next%2C%20it%20clarifies%20the%20unit%20of%20work%20and%20continuity.%20Other%20similar%20projects%20include%20Luigi%2C%20Oozie%20and%20Azkaban.%0A%0AAirflow%20is%20commonly%20used%20to%20process%20data%2C%20but%20has%20the%20opinion%20that%20tasks%20should%20ideally%20be%20idempotent%20(i.e.%2C%20results%20of%20the%20task%20will%20be%20the%20same%2C%20and%20will%20not%20create%20duplicated%20data%20in%20a%20destination%20system)%2C%20and%20should%20not%20pass%20large%20quantities%20of%20data%20from%20one%20task%20to%20the%20next%20(though%20tasks%20can%20pass%20metadata%20using%20Airflow's%20XCom%20feature).%20For%20high-volume%2C%20data-intensive%20tasks%2C%20a%20best%20practice%20is%20to%20delegate%20to%20external%20services%20specializing%20in%20that%20type%20of%20work.%0A%0AAirflow%20is%20not%20a%20streaming%20solution%2C%20but%20it%20is%20often%20used%20to%20process%20real-time%20data%2C%20pulling%20data%20off%20streams%20in%20batches.%0A%0APrinciples%0ADynamic%3A%20Airflow%20pipelines%20are%20configuration%20as%20code%20(Python)%2C%20allowing%20for%20dynamic%20pipeline%20generation.%20This%20allows%20for%20writing%20code%20that%20instantiates%20pipelines%20dynamically.%0AExtensible%3A%20Easily%20define%20your%20own%20operators%2C%20executors%20and%20extend%20the%20library%20so%20that%20it%20fits%20the%20level%20of%20abstraction%20that%20suits%20your%20environment.%0AElegant%3A%20Airflow%20pipelines%20are%20lean%20and%20explicit.%20Parameterizing%20your%20scripts%20is%20built%20into%20the%20core%20of%20Airflow%20using%20the%20powerful%20Jinja%20templating%20engine.%0AScalable%3A%20Airflow%20has%20a%20modular%20architecture%20and%20uses%20a%20message%20queue%20to%20orchestrate%20an%20arbitrary%20number%20of%20workers.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: design-with-validation-errors
displayName: Design With Validation Errors
createdAt: "2024-07-01T12:40:14Z"
createdAt: "2024-07-02T00:24:46Z"
description: Design%20with%20proper%20validation
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: key-cloak-operator
displayName: Key cloak operator
createdAt: "2024-07-01T12:40:23Z"
createdAt: "2024-07-02T00:25:04Z"
description: This%20YAML%20snippet%20describes%20a%20Kubernetes%20Deployment%20for%20a%20Keycloak%20operator%2C%20ensuring%20a%20single%20replica.%20It%20specifies%20labels%20and%20annotations%20for%20metadata%2C%20including%20a%20service%20account.%20The%20pod%20template%20defines%20a%20container%20running%20the%20Keycloak%20operator%20image%2C%20with%20environment%20variables%20set%20for%20namespace%20and%20pod%20name%20retrieval.%20Security%20context%20settings%20prevent%20privilege%20escalation.%20Probes%20are%20configured%20for%20liveness%20and%20readiness%20checks%20on%20port%208081%2C%20with%20resource%20requests%20and%20limits%20ensuring%20proper%20resource%20allocation%20for%20the%20container.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: mtls-handshake-acceleration-for-istio
displayName: mTLS-handshake-acceleration-for-Istio
createdAt: "2024-07-01T12:40:35Z"
createdAt: "2024-07-02T00:25:26Z"
description: Cryptographic operations are among the most compute-intensive and critical operations when it comes to secured connections. Istio uses Envoy as the “gateways/sidecar” to handle secure connections and intercept the traffic. Depending upon use cases, when an ingress gateway must handle a large number of incoming TLS and secured service-to-service connections through sidecar proxies, the load on Envoy increases. The potential performance depends on many factors, such as size of the cpuset on which Envoy is running, incoming traffic patterns, and key size. These factors can impact Envoy serving many new incoming TLS requests. To achieve performance improvements and accelerated handshakes, a new feature was introduced in Envoy 1.20 and Istio 1.14. It can be achieved with 3rd Gen Intel® Xeon® Scalable processors, the Intel® Integrated Performance Primitives (Intel® IPP) crypto library, CryptoMB Private Key Provider Method support in Envoy, and Private Key Provider configuration in Istio using ProxyConfig.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: hello-kubernetes-tutorial
displayName: Hello Kubernetes Tutorial
createdAt: "2024-07-01T12:40:14Z"
createdAt: "2024-07-02T00:24:47Z"
description: This%20tutorial%20will%20get%20you%20up%20and%20running%20with%20Dapr%20in%20a%20Kubernetes%20cluster.%20You%20will%20be%20deploying%20the%20same%20applications%20from%20Hello%20World.%20To%20recap%2C%20the%20Python%20App%20generates%20messages%20and%20the%20Node%20app%20consumes%20and%20persists%20them.
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: my-first-app-design
displayName: my first app design
createdAt: "2024-07-01T12:40:23Z"
createdAt: "2024-07-02T00:25:04Z"
description: 'This infrastructure design defines two services within a system: 1. **Customer Service**: - Type: Customer - Version: 0.0.50 - Model: Jira Service Desk Operator - Attributes: This service is configured with specific settings, including an email address, legacy customer mode, and a name. It is categorized as a tool within the system.2. **Notebook Service**: - Type: Notebook - Version: 1.6.1 - Model: Kubeflow - Attributes: This service is categorized as a machine learning tool. It has metadata related to its source URI and appearance. These services are components within a larger system or design, each serving a distinct purpose. The Customer Service is associated with customer-related operations, while the Notebook Service is related to machine learning tasks.'
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: gitlab-runner-deployment
displayName: gitlab runner deployment
createdAt: "2024-07-01T12:40:22Z"
createdAt: "2024-07-02T00:25:01Z"
description: This%20configuration%20ensures%20that%20a%20single%20instance%20of%20the%20GitLab%20Runner%20is%20deployed%20within%20the%20gitlab-runner%20namespace.%20The%20GitLab%20Runner%20is%20configured%20with%20a%20specific%20ServiceAccount%2C%20CPU%20resource%20requests%20and%20limits%2C%20and%20is%20provided%20with%20a%20ConfigMap%20containing%20the%20configuration%20file%20config.toml.%20The%20deployment%20is%20designed%20to%20continuously%20restart%20the%20pod%20(restartPolicy%3A%20Always)%20to%20ensure%20the%20GitLab%20Runner%20remains%20available%20for%20executing%20jobs.%0A
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: pod-multi-containers
displayName: Pod Multi Containers
createdAt: "2024-07-01T12:40:18Z"
createdAt: "2024-07-02T00:24:54Z"
description: '%22Pod%20Multi%20Containers%22%20design%20facilitates%20the%20deployment%20of%20Kubernetes%20Pods%20that%20consist%20of%20multiple%20containers%2C%20each%20serving%20a%20distinct%20role%20within%20a%20single%20cohesive%20unit.'
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: resilient-web-app
displayName: Resilient Web App
createdAt: "2024-07-01T12:40:35Z"
createdAt: "2024-07-02T00:25:25Z"
description: This is a simple app that uses nginx as a web proxy for improving the resiliency of web app
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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version: 0.0.1
name: hello-wasm
displayName: Hello WASM
createdAt: "2024-07-01T12:40:16Z"
createdAt: "2024-07-02T00:24:51Z"
description: Sample%20WASM%20implementation%20with%20service%20mesh
logoURL: https://raw.githubusercontent.com/meshery/meshery.io/0b8585231c6e2b3251d38f749259360491c9ee6b/assets/images/brand/meshery-logo.svg
license: Apache-2.0
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