{"id":20037,"date":"2026-06-15T15:05:34","date_gmt":"2026-06-15T13:05:34","guid":{"rendered":"https:\/\/webhosting.de\/api-gateway-hosting-hochverfuegbarkeit-gateway\/"},"modified":"2026-06-15T15:05:34","modified_gmt":"2026-06-15T13:05:34","slug":"api-gateway-hosting-high-availability-gateway","status":"publish","type":"post","link":"https:\/\/webhosting.de\/en\/api-gateway-hosting-hochverfuegbarkeit-gateway\/","title":{"rendered":"Web Hosting for High-Availability API Gateways: Architecture, Hosting, and Best Practices"},"content":{"rendered":"<p>I'll show you how to set up a highly available <strong>API Gateway<\/strong> with a stateless data layer, clearly separated control logic, and efficient load balancing, ensuring reliable performance even under pressure. I integrate architectural decisions, hosting options, and proven workflows to automatically mitigate operational outages.<\/p>\n\n<h2>Key points<\/h2>\n<p>The following key points provide a quick overview and serve as a guide to the more detailed sections.<\/p>\n<ul>\n  <li><strong>Stateless<\/strong>: Sessionless data plane, shared caches for tokens and limits.<\/li>\n  <li><strong>Separate<\/strong> Layers: The control plane is fail-safe; the data plane continues to operate.<\/li>\n  <li><strong>Load distribution<\/strong>: Health checks, multi-AZ\/region, automatic failover.<\/li>\n  <li><strong>Scaling<\/strong>: Horizontal scaling, rolling\/blue-green\/canary deployments.<\/li>\n  <li><strong>Observability<\/strong>: Logging, metrics, tracing, clear SLOs, and alerting.<\/li>\n<\/ul>\n\n<h2>Architecture: Separating the data plane and the control plane<\/h2>\n<p>I hold the <strong>Data Plane<\/strong> strictly stateless and base all runtime decisions\u2014such as routing, authentication, and caching\u2014on reproducible configurations. The <strong>Control-Plane<\/strong> I manage them separately, replicate them across at least two zones, and roll out changes in a controlled manner. If the control plane goes down temporarily, the data plane continues to operate because it caches valid policies locally. I distribute configurations via push, pull, or a hybrid method to ensure that every instance remains consistent, even when I replace nodes. Additionally, I regularly back up policies externally so that a rollback is possible at any time.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/serverraum-hosting-8493.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Using statelessness and shared memory correctly<\/h2>\n<p>I store volatile <strong>Gateway data<\/strong> such as rate-limit counters, OAuth\/JWT tokens, or session caches in shared storage systems like Redis or Memcached. Each instance processes requests independently, enabling horizontal <strong>Scaling<\/strong> works without session stickiness. Idempotent endpoints, clear timeouts, and retry strategies prevent duplicates during retries. Health checks, as well as readiness and liveness probes, ensure that only healthy nodes receive traffic. This allows me to add or remove instances based on load without compromising availability.<\/p>\n\n<h2>Resilience mechanisms: Circuit breaker, backpressure, and overload protection<\/h2>\n<p>I'm planning some active <strong>Overload protection<\/strong> Circuit breakers prevent cascading effects when upstream errors accumulate or latencies increase. Configurable timeouts, total execution time budgets, and retries with jitter protect against storms caused by uncoordinated retries. I implement backpressure using global and per-tenant concurrency limits, queues with drop policies (e.g., discarding the oldest requests), and prioritized paths for critical endpoints. I clearly communicate 429\/503 responses with Retry-After. <strong>Bulkheads<\/strong> Separate connection and thread pools by upstream so that a slow service does not block the entire gateway. This ensures that the platform remains manageable even when facing partial load issues.<\/p>\n\n<h2>Load distribution and multi-zone design<\/h2>\n<p>I place a <strong>Load balancer<\/strong> with active health checks to ensure that failures of individual nodes do not cause any gaps. For ambitious goals, I rely on Multi-AZ or Multi-Region and use DNS- or Anycast-based failover with short TTLs. Weighted distributed traffic helps with the gradual rollout of new locations and mitigates regional disruptions. At L4, I achieve low latency; at L7, I use advanced routing rules, TLS termination, and caching. It remains important that I collect metrics directly at the gateway to detect hotspots early and relieve them in a targeted manner.<\/p>\n\n<h2>Chaos Engineering and Failover Testing in Everyday Practice<\/h2>\n<p>I anchor <strong>regular emergency drills<\/strong> In production: Targeted shutdowns of individual instances, throttled networks, failing caches, or artificially prolonged latencies reveal whether health checks and failover work as intended. Region drills with traffic drain and subsequent rerouting demonstrate that DNS\/Anycast failover takes effect quickly enough. Shadow traffic and synthetic user paths allow me to simulate conditions independent of real-world traffic peaks. Each exercise concludes with clear findings and adjustments to runbooks, alert thresholds, and automated processes, ensuring the system becomes demonstrably more robust.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/webhosting_api_5729.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Deployment strategies without downtime<\/h2>\n<p>I'm introducing new <strong>Versions<\/strong> I use rolling updates and also keep blue-green deployment as a fallback for major changes. Canary releases with a small traffic percentage quickly show me whether error rates or latency are increasing. Configuration as code, automated tests, and signed artifacts significantly reduce operational risks. Feature flags decouple deployments from activations and allow for rapid rollbacks. I validate every change with metrics, log events, and tracing samples so that I can concretely demonstrate its impact.<\/p>\n\n<h2>API Versioning and Compatibility<\/h2>\n<p>I design <strong>versioned APIs<\/strong> with clear deprecation windows and backward compatibility as the standard. Routes based on headers or paths allow for parallel versions, while the gateway enforces schema validation (e.g., against OpenAPI). I use contract and integration tests to prevent breaking changes from going live unnoticed. Shadow releases feed production-like traffic into new versions without affecting users. I document migration paths and incorporate telemetry that shows which clients are still using old versions.<\/p>\n\n<h2>Hosting models in comparison<\/h2>\n<p>I choose the <strong>Deployment model<\/strong> based on compliance requirements, team size, and latency goals, as operational overhead and control vary significantly. Fully-hosted solutions speed up the launch process and reduce operational work, while self-hosted solutions offer maximum control over the network, security, and data residency; hybrid solutions combine both. For initial comparisons, I often suggest webhoster.de as a starting point, but I prioritize technical suitability for high availability far more than brand names. It remains important that scaling, redundancy, and automation align with your own traffic profile. The following table summarizes key differences.<\/p>\n\n<table>\n  <thead>\n    <tr>\n      <th>Model<\/th>\n      <th>Operating expenses<\/th>\n      <th>Audit &amp; Compliance<\/th>\n      <th>Latency\/Network<\/th>\n      <th>Scaling<\/th>\n      <th>Suitability<\/th>\n    <\/tr>\n  <\/thead>\n  <tbody>\n    <tr>\n      <td>Fully hosted<\/td>\n      <td>Low<\/td>\n      <td>Resources (provider guidelines)<\/td>\n      <td>Well, it depends on the provider<\/td>\n      <td>Automatic, usually elastic<\/td>\n      <td>Teams with minimal operational overhead<\/td>\n    <\/tr>\n    <tr>\n      <td>Self-hosted<\/td>\n      <td>High<\/td>\n      <td>High (full control)<\/td>\n      <td>Can be optimized using our own network<\/td>\n      <td>Automate scaling yourself<\/td>\n      <td>Strict Compliance &amp; Data Sovereignty<\/td>\n    <\/tr>\n    <tr>\n      <td>Hybrid<\/td>\n      <td>Medium<\/td>\n      <td>High for sensitive parts<\/td>\n      <td>Balanced through splitting<\/td>\n      <td>Partly automatic, partly manual<\/td>\n      <td>Mixed workloads &amp; locations<\/td>\n    <\/tr>\n  <\/tbody>\n<\/table>\n\n<h2>Multi-client capability and fair limits<\/h2>\n<p>I implement <strong>Per-tenant isolation<\/strong> I manage access via API keys, claims in JWTs, or dedicated routes, and maintain fair quotas: base quotas, burst buckets, and hard caps prevent resource-hungry users from tying up all available resources. Separate telemetry per customer clearly shows costs, usage, and errors. For premium tenants, I set higher quotas, prioritize them during bottlenecks, and ensure SLAs through stricter health checks. This allows me to remain flexible in business operations without compromising platform stability.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/webhosting-api-gateways-best-practices-7634.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Database Replication and Configuration<\/h2>\n<p>I am replicating <strong>Core systems<\/strong> such as authentication databases, key stores, and configuration stores across zones with clear quorum rules. I ensure write directions, latencies, and consistency through coordinated topologies, such as leader\/follower or multi-primary with conflict resolution. Backups with defined RPO\/RTO and regular recovery tests protect me against data loss. For configurations, I rely on etcd, Consul, or cloud alternatives with version history and ACLs. This way, I prevent the management or storage side from becoming the bottleneck in the event of gateway issues.<\/p>\n\n<h2>Configuration Deployment and Drift Monitoring<\/h2>\n<p>I deliver <strong>declarative configuration<\/strong> I sign them, have them verified by the data plane, and use reconciliation loops that automatically correct discrepancies. Canary configurations and staggered rollouts minimize risks, while freeze windows protect high-traffic periods. I detect drifts through periodic diffs, hash checks, and telemetry that reports active policies per instance. This ensures that thousands of gateways follow the same policies and that changes remain traceable.<\/p>\n\n<h2>Observability: Logging, Metrics, and Tracing<\/h2>\n<p>I record <strong>Metrics<\/strong> I analyze logs based on RED (Requests, Errors, Duration) and correlate them with system metrics such as CPU, memory, sockets, and connections. Centralized, structured logs with trace IDs allow me to trace error paths in seconds. Distributed tracing with context propagation (e.g., W3C Traceparent) uncovers hidden latencies between services. SLOs and error budgets control releases: If the error rate rises, I reduce changes until the budget recovers. Synthetic checks at the outer edges confirm that user paths actually work, not just the internal tests.<\/p>\n\n<h2>Performance Engineering and Capacity<\/h2>\n<p>I'm investigating <strong>Saturation points<\/strong> I conduct load tests using realistic traffic distributions, warm-ups, and gradually increasing RPS. P95\/P99 latencies, connection and thread pools, TLS handshakes, and keep-alive rates are my key metrics. I tune kernel parameters (e.g., backlog, ephemeral ports), enable TLS resumption and session tickets, and ensure connection reuse to upstreams. This way, I plan capacity not based on CPU percentages, but on throughput and tail latency\u2014the metrics users actually experience.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/Webhosting_API_Gateways_4532.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Gateway Security: Authentication, TLS, and Throttling<\/h2>\n<p>I rely on <strong>OAuth2\/JWT<\/strong> For service access, I automatically renew keys and secure sensitive endpoints with mTLS to the upstream server. I combine TLS termination at the gateway with strict cipher suites and short certificate validity periods. I store rate limiting and quotas centrally so that all instances share the same state and attacks cannot evade detection. My article on <a href=\"https:\/\/webhosting.de\/en\/api-rate-limiting-hosting-protection-against-misuse-security\/\">Rate Limiting in Web Hosting<\/a>, including protection against abuse. In addition, I apply WAF rules to error-prone routes and clearly log rejections so that development teams can quickly fine-tune them.<\/p>\n\n<h2>DDoS and Edge Protection<\/h2>\n<p>I am planning <strong>multi-layered defense<\/strong>: L3\/4 protection filters out volumetric attacks, while L7 mechanisms detect malicious patterns, bots, and anomalies. I use distributed edges, pre-warmed capacity, and aggressive caching strategies for idempotent GETs. Challenge-response (e.g., proof-of-work or simple challenges) spares backends, while geo- or ASN-based throttling locally mitigates spikes. Blocklists are time-limited so that legitimate traffic can return. Success remains measurable only when backend latencies are stable and rejections are explainable.<\/p>\n\n<h2>Network and Latency: Choosing a Load Balancer<\/h2>\n<p>I decide between <strong>L4<\/strong>\u2013 and L7 load balancing based on latency requirements, protocols, and routing logic. HAProxy and NGINX offer fine-grained control, while cloud-based versions excel with global reach and Anycast. DSR, eBPF acceleration, and connection reuse help reduce costly handshakes. An overview of tools and use cases can be found in the <a href=\"https:\/\/webhosting.de\/en\/load-balancing-tools-comparison-haproxy-nginx-cloudflare-balance\/\">Comparison of Common Load Balancers<\/a>. It is important to choose health checks that are realistic: only test endpoints that reflect the actual user journey.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/webhosting_workspace_4729.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Service Discovery and Name Resolution<\/h2>\n<p>I hold <strong>Service Discovery<\/strong> Simple: In Kubernetes, I use services\/endpoints; outside of it, I rely on Consul or SRV records with short TTLs. Clients and gateways cache DNS only briefly so that new instances can start receiving traffic quickly. I incorporate health information from Discovery into the routing so that faulty targets are quickly removed from the pool. Those who scale microservices dynamically benefit from clean lifecycle management during registration and deregistration. Further background information can be found in my post on <a href=\"https:\/\/webhosting.de\/en\/service-discovery-hosting-microservices-containerhosting-podscale\/\">Service Discovery for Microservices<\/a>.<\/p>\n\n<h2>Service Mesh or Gateway? Differences and Interaction<\/h2>\n<p>I set <strong>Service Meshes<\/strong> for east-west traffic (mTLS, retries, circuit breaking between services) and place the API gateway at the north-south edge for authentication, rate limiting, routing, and exposure. I do not duplicate policies: Identity and authorization go to the edge, while internal resilience remains within the mesh. Egress gateways bundle outgoing connections along with inspection without diluting the API Gateway\u2019s edge functionality. This keeps responsibilities clear for each layer and operations manageable.<\/p>\n\n<h2>Operations: SLOs, Capacity, and Costs<\/h2>\n<p>I agree <strong>SLOs<\/strong> such as 99.95% % or 99.99% %, and analyze what that means for maintenance windows, patches, and deployments. Capacity planning starts with P50\/P95\/P99 latencies and connection limits, not CPU percentages. Runbooks, clear on-call responsibilities, and recurring GameDays ensure that failover processes are in place in an emergency. I plan costs realistically: Additional zones, DNS failover, and log volume add up quickly; \u20ac100\u2013300 per month for load balancers and \u20ac300\u20131,500 for managed gateways are typical figures. Those who want to avoid outages should invest specifically in monitoring, testing, and automation rather than manual interventions.<\/p>\n\n<h2>Runbooks, Incident Response, and Recovery<\/h2>\n<p>I standardize <strong>First steps<\/strong>: Check the alert, identify affected routes, throttle or reroute traffic, disable faulty features using flags, and trigger configuration or artifact rollbacks. I document escalation levels, owners, communication protocols, and approvals. Once the system has stabilized, I initiate postmortems with clear actions, deadlines, and ownership. Recovery tests following backups (restore drills) ensure that RTO\/RPO remain realistic. This way, the system learns from incidents and demonstrably improves.<\/p>\n\n<h2>Compliance, data protection and auditability<\/h2>\n<p>I minimize <strong>personal data<\/strong> In logs, I mask sensitive fields and strictly adhere to retention periods. I automatically rotate keys, secure access via roles, and review policy changes using the dual-control principle. Audit trails, signatures, and reproducible builds ensure traceability. I document data residency through zone selection and replication rules. This ensures that the gateway remains not only available but also verifiable and trustworthy.<\/p>\n\n\n<figure class=\"wp-block-image size-full is-resized\">\n  <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/webhosting.de\/wp-content\/uploads\/2026\/06\/hosting-api-gateways-7482.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Summary for Practitioners<\/h2>\n<p>I hold the <strong>Data Plane<\/strong> Stateless, replicate the control plane, and prioritize robust load balancing. Shared caches, clean deployments, and observability ensure operations continue even during maintenance or partial outages. Replicated databases and configuration stores prevent control or storage from becoming bottlenecks. Depending on the team and compliance requirements, I choose the hosting model, but always prioritize availability, scalability, and automation. Those who consistently combine these building blocks operate a reliable API platform that handles peak loads and enables growth.<\/p>","protected":false},"excerpt":{"rendered":"<p>API Gateway Hosting for High-Availability APIs: Architecture, Scalability, and Reliability for Stable Web Hosting Setups.<\/p>","protected":false},"author":1,"featured_media":20030,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[922],"tags":[],"class_list":["post-20037","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologie"],"acf":[],"_wp_attached_file":null,"_wp_attachment_metadata":null,"litespeed-optimize-size":null,"litespeed-optimize-set":null,"_elementor_source_image_hash":null,"_wp_attachment_image_alt":null,"stockpack_author_name":null,"stockpack_author_url":null,"stockpack_provider":null,"stockpack_image_url":null,"stockpack_license":null,"stockpack_license_url":null,"stockpack_modification":null,"color":null,"original_id":null,"original_url":null,"original_link":null,"unsplash_location":null,"unsplash_sponsor":null,"unsplash_exif":null,"unsplash_attachment_metadata":null,"_elementor_is_screenshot":null,"surfer_file_name":null,"surfer_file_original_url":null,"envato_tk_source_kit":null,"envato_tk_source_index":null,"envato_tk_manifest":null,"envato_tk_folder_name":null,"envato_tk_builder":null,"envato_elements_download_event":null,"_menu_item_type":null,"_menu_item_menu_item_parent":null,"_menu_item_object_id":null,"_menu_item_object":null,"_menu_item_target":null,"_menu_item_classes":null,"_menu_item_xfn":null,"_menu_item_url":null,"_trp_menu_languages":null,"rank_math_primary_category":null,"rank_math_title":null,"inline_featured_image":null,"_yoast_wpseo_primary_category":null,"rank_math_schema_blogposting":null,"rank_math_schema_videoobject":null,"_oembed_049c719bc4a9f89deaead66a7da9fddc":null,"_oembed_time_049c719bc4a9f89deaead66a7da9fddc":null,"_yoast_wpseo_focuskw":null,"_yoast_wpseo_linkdex":null,"_oembed_27e3473bf8bec795fbeb3a9d38489348":null,"_oembed_c3b0f6959478faf92a1f343d8f96b19e":null,"_trp_translated_slug_en_us":null,"_wp_desired_post_slug":null,"_yoast_wpseo_title":null,"tldname":null,"tldpreis":null,"tldrubrik":null,"tldpolicylink":null,"tldsize":null,"tldregistrierungsdauer":null,"tldtransfer":null,"tldwhoisprivacy":null,"tldregistrarchange":null,"tldregistrantchange":null,"tldwhoisupdate":null,"tldnameserverupdate":null,"tlddeletesofort":null,"tlddeleteexpire":null,"tldumlaute":null,"tldrestore":null,"tldsubcategory":null,"tldbildname":null,"tldbildurl":null,"tldclean":null,"tldcategory":null,"tldpolicy":null,"tldbesonderheiten":null,"tld_bedeutung":null,"_oembed_d167040d816d8f94c072940c8009f5f8":null,"_oembed_b0a0fa59ef14f8870da2c63f2027d064":null,"_oembed_4792fa4dfb2a8f09ab950a73b7f313ba":null,"_oembed_33ceb1fe54a8ab775d9410abf699878d":null,"_oembed_fd7014d14d919b45ec004937c0db9335":null,"_oembed_21a029d076783ec3e8042698c351bd7e":null,"_oembed_be5ea8a0c7b18e658f08cc571a909452":null,"_oembed_a9ca7a298b19f9b48ec5914e010294d2":null,"_oembed_f8db6b27d08a2bb1f920e7647808899a":null,"_oembed_168ebde5096e77d8a89326519af9e022":null,"_oembed_cdb76f1b345b42743edfe25481b6f98f":null,"_oembed_87b0613611ae54e86e8864265404b0a1":null,"_oembed_27aa0e5cf3f1bb4bc416a4641a5ac273":null,"_oembed_time_27aa0e5cf3f1bb4bc416a4641a5ac273":null,"_tldname":null,"_tldclean":null,"_tldpreis":null,"_tldcategory":null,"_tldsubcategory":null,"_tldpolicy":null,"_tldpolicylink":null,"_tldsize":null,"_tldregistrierungsdauer":null,"_tldtransfer":null,"_tldwhoisprivacy":null,"_tldregistrarchange":null,"_tldregistrantchange":null,"_tldwhoisupdate":null,"_tldnameserverupdate":null,"_tlddeletesofort":null,"_tlddeleteexpire":null,"_tldumlaute":null,"_tldrestore":null,"_tldbildname":null,"_tldbildurl":null,"_tld_bedeutung":null,"_tldbesonderheiten":null,"_oembed_ad96e4112edb9f8ffa35731d4098bc6b":null,"_oembed_8357e2b8a2575c74ed5978f262a10126":null,"_oembed_3d5fea5103dd0d22ec5d6a33eff7f863":null,"_eael_widget_elements":null,"_oembed_0d8a206f09633e3d62b95a15a4dd0487":null,"_oembed_time_0d8a206f09633e3d62b95a15a4dd0487":null,"_aioseo_description":null,"_eb_attr":null,"_eb_data_table":null,"_oembed_819a879e7da16dd629cfd15a97334c8a":null,"_oembed_time_819a879e7da16dd629cfd15a97334c8a":null,"_acf_changed":null,"_wpcode_auto_insert":null,"_edit_last":null,"_edit_lock":null,"_oembed_e7b913c6c84084ed9702cb4feb012ddd":null,"_oembed_bfde9e10f59a17b85fc8917fa7edf782":null,"_oembed_time_bfde9e10f59a17b85fc8917fa7edf782":null,"_oembed_03514b67990db061d7c4672de26dc514":null,"_oembed_time_03514b67990db061d7c4672de26dc514":null,"rank_math_news_sitemap_robots":null,"rank_math_robots":null,"_eael_post_view_count":"65","_trp_automatically_translated_slug_ru_ru":null,"_trp_automatically_translated_slug_et":null,"_trp_automatically_translated_slug_lv":null,"_trp_automatically_translated_slug_fr_fr":null,"_trp_automatically_translated_slug_en_us":null,"_wp_old_slug":null,"_trp_automatically_translated_slug_da_dk":null,"_trp_automatically_translated_slug_pl_pl":null,"_trp_automatically_translated_slug_es_es":null,"_trp_automatically_translated_slug_hu_hu":null,"_trp_automatically_translated_slug_fi":null,"_trp_automatically_translated_slug_ja":null,"_trp_automatically_translated_slug_lt_lt":null,"_elementor_edit_mode":null,"_elementor_template_type":null,"_elementor_version":null,"_elementor_pro_version":null,"_wp_page_template":null,"_elementor_page_settings":null,"_elementor_data":null,"_elementor_css":null,"_elementor_conditions":null,"_happyaddons_elements_cache":null,"_oembed_75446120c39305f0da0ccd147f6de9cb":null,"_oembed_time_75446120c39305f0da0ccd147f6de9cb":null,"_oembed_3efb2c3e76a18143e7207993a2a6939a":null,"_oembed_time_3efb2c3e76a18143e7207993a2a6939a":null,"_oembed_59808117857ddf57e478a31d79f76e4d":null,"_oembed_time_59808117857ddf57e478a31d79f76e4d":null,"_oembed_965c5b49aa8d22ce37dfb3bde0268600":null,"_oembed_time_965c5b49aa8d22ce37dfb3bde0268600":null,"_oembed_81002f7ee3604f645db4ebcfd1912acf":null,"_oembed_time_81002f7ee3604f645db4ebcfd1912acf":null,"_elementor_screenshot":null,"_oembed_7ea3429961cf98fa85da9747683af827":null,"_oembed_time_7ea3429961cf98fa85da9747683af827":null,"_elementor_controls_usage":null,"_elementor_page_assets":[],"_elementor_screenshot_failed":null,"theplus_transient_widgets":null,"_eael_custom_js":null,"_wp_old_date":null,"_trp_automatically_translated_slug_it_it":null,"_trp_automatically_translated_slug_pt_pt":null,"_trp_automatically_translated_slug_zh_cn":null,"_trp_automatically_translated_slug_nl_nl":null,"_trp_automatically_translated_slug_pt_br":null,"_trp_automatically_translated_slug_sv_se":null,"rank_math_analytic_object_id":null,"rank_math_internal_links_processed":"1","_trp_automatically_translated_slug_ro_ro":null,"_trp_automatically_translated_slug_sk_sk":null,"_trp_automatically_translated_slug_bg_bg":null,"_trp_automatically_translated_slug_sl_si":null,"litespeed_vpi_list":null,"litespeed_vpi_list_mobile":null,"rank_math_seo_score":null,"rank_math_contentai_score":null,"ilj_limitincominglinks":null,"ilj_maxincominglinks":null,"ilj_limitoutgoinglinks":null,"ilj_maxoutgoinglinks":null,"ilj_limitlinksperparagraph":null,"ilj_linksperparagraph":null,"ilj_blacklistdefinition":null,"ilj_linkdefinition":null,"_eb_reusable_block_ids":null,"rank_math_focus_keyword":"API Gateway","rank_math_og_content_image":null,"_yoast_wpseo_metadesc":null,"_yoast_wpseo_content_score":null,"_yoast_wpseo_focuskeywords":null,"_yoast_wpseo_keywordsynonyms":null,"_yoast_wpseo_estimated-reading-time-minutes":null,"rank_math_description":null,"surfer_last_post_update":null,"surfer_last_post_update_direction":null,"surfer_keywords":null,"surfer_location":null,"surfer_draft_id":null,"surfer_permalink_hash":null,"surfer_scrape_ready":null,"_thumbnail_id":"20030","footnotes":null,"_links":{"self":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/posts\/20037","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/comments?post=20037"}],"version-history":[{"count":0,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/posts\/20037\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/media\/20030"}],"wp:attachment":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/media?parent=20037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/categories?post=20037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/tags?post=20037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}