{"id":19949,"date":"2026-06-12T18:19:58","date_gmt":"2026-06-12T16:19:58","guid":{"rendered":"https:\/\/webhosting.de\/server-process-accounting-ressourcenanalyse-hosting-analytics-stabil\/"},"modified":"2026-06-12T18:19:58","modified_gmt":"2026-06-12T16:19:58","slug":"server-process-accounting-resource-analysis-hosting-analytics-stable","status":"publish","type":"post","link":"https:\/\/webhosting.de\/en\/server-process-accounting-ressourcenanalyse-hosting-analytics-stabil\/","title":{"rendered":"Server Process Accounting and Resource Analysis in Day-to-Day Hosting Operations"},"content":{"rendered":"<p><strong>Process Accounting<\/strong> provides me with detailed usage data on processes, CPU time, RAM, and I\/O in my day-to-day hosting operations, allowing me to clearly identify load drivers and manage costs. With this <strong>Resource Analysis<\/strong> I assign activities to users and services, quickly identify anomalies, and plan capacity based on data.<\/p>\n\n<h2>Key points<\/h2>\n<p>The following points will guide you through the practice and provide clear <strong>Priorities<\/strong> for decisions.<\/p>\n<ul>\n  <li><strong>Transparency<\/strong> on processes, users, and services as a basis for capacity planning<\/li>\n  <li><strong>Security<\/strong> by detecting unusual commands and execution times<\/li>\n  <li><strong>Performance<\/strong> Boost performance with data-driven load balancing and scheduling<\/li>\n  <li><strong>Billing<\/strong> and compliance thanks to transparent resource usage<\/li>\n  <li><strong>Integration<\/strong> Monitoring, logging, and historical process data<\/li>\n<\/ul>\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\/server-analyse-rechenzentrum-4507.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Server Process Accounting in Everyday Hosting<\/h2>\n\n<p>I use <strong>Process Accounting<\/strong>, to get a complete view of every process running on the system: user, command, start and end times, CPU usage, memory usage, and exit status. This view shows me which projects or clients are tying up resources and where I need to adjust limits. I identify security risks because unknown commands, long runtimes, or high I\/O load immediately catch my eye. When it comes to performance issues, I provide reliable figures instead of guesswork and regulate services according to clear patterns. For multi-tenant setups, I use this data to establish fair <strong>Standard values<\/strong> for allocation, scaling, and SLAs.<\/p>\n\n<h2>Setting Up Process Accounting on Linux<\/h2>\n\n<p>On Linux, I rely on kernel functions and tools that have been reliably implementing process accounting for years. I enable tracking at the file level, typically in <strong>\/var\/account<\/strong> or \/var\/log, and I ensure proper rotation so the disk doesn\u2019t fill up. Compact binary data sets save space, but I still allocate enough storage and set clear retention periods. For analysis, I use command-line tools, generate reports, and integrate the results into dashboards. I combine historical process data with real-time metrics so that I can identify both trends and acute <strong>Tips<\/strong> recognize.<\/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\/hosting_meeting_3049.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h3>Step by Step: Activation and Maintenance<\/h3>\n<p>In practice, I keep it simple: install the package (e.g.,. <code>acct<\/code>\/<code>psacct<\/code>), Activate service (<code>systemctl enable --now<\/code>), Start Accounting (<code>accton \/var\/account\/pacct<\/code>) and the rotation via <code>logrotate<\/code> or ensure system-level rotation. I check using <code>lastcomm<\/code>, <code>sa<\/code> and <code>ac<\/code>, ...whether entries are flowing, and document paths and retention periods. For production environments, I set fixed size limits per file, rotate them daily, and compress older segments. This keeps data manageable, traceable, and audit-ready.<\/p>\n\n<h3>Understanding Data Flow<\/h3>\n<p>The kernel writes compressed events to a <em>pacct<\/em>. <code>lastcomm<\/code> shows individual commands, <code>sa<\/code> aggregated by user, command, or time period, <code>ac<\/code> summarizes CPU times. I export regular snapshots in a text- or Parquet-based format and load them into a central warehouse. This allows me to retain raw data while also enabling fast queries for daily analyses.<\/p>\n\n<h2>Evaluating Resource Types Correctly<\/h2>\n\n<p>In my day-to-day work, I monitor CPU time, RAM, I\/O, and runtime patterns because these four pillars clearly describe the usage profile. This allows me to identify CPU-intensive services, memory leaks, database-heavy I\/O spikes, and the frequency of certain commands. From this combination, I build a clear picture of how individual workloads behave. From this, I derive limits, schedules, and scaling decisions. The following table shows a concise <strong>Matrix<\/strong> for classification and prioritization.<\/p>\n\n<table>\n  <thead>\n    <tr>\n      <th>Metrics<\/th>\n      <th>Purpose of the analysis<\/th>\n      <th>Typical tools<\/th>\n      <th>Useful Thresholds<\/th>\n      <th>immediate action<\/th>\n    <\/tr>\n  <\/thead>\n  <tbody>\n    <tr>\n      <td><strong>CPU<\/strong>-time<\/td>\n      <td>Identify load drivers<\/td>\n      <td>acct\/sa, top, ps<\/td>\n      <td>long processing time per process<\/td>\n      <td>Change priority\/plan<\/td>\n    <\/tr>\n    <tr>\n      <td><strong>RAM<\/strong><\/td>\n      <td>Find leaks and growth<\/td>\n      <td>acct\/lastcomm, smem<\/td>\n      <td>steady increase<\/td>\n      <td>Restart, Profiling<\/td>\n    <\/tr>\n    <tr>\n      <td><strong>I\/O<\/strong>-load<\/td>\n      <td>Shortages of storage media<\/td>\n      <td>iostat, pidstat<\/td>\n      <td>long wait times<\/td>\n      <td>Move window<\/td>\n    <\/tr>\n    <tr>\n      <td>Duration &amp; Frequency<\/td>\n      <td>Identifying triggers and patterns<\/td>\n      <td>acct\/sa, journal<\/td>\n      <td>Peak times identified<\/td>\n      <td>Customize Cron Windows<\/td>\n    <\/tr>\n  <\/tbody>\n<\/table>\n\n<h3>Correlation and Attribution Logic<\/h3>\n<p>For multi-tenant environments, I map UIDs\/GIDs, service accounts, and container labels to tenants. I normalize names (aliases, system users), group ephemeral workers, and identify batch, system, and customer processes. This gives me a clear line of attribution from the process to the customer contract. I resolve conflicts deterministically using priorities (e.g., container label before username) to ensure reports remain consistent.<\/p>\n\n<h2>Roles and Collaboration in Hosting<\/h2>\n\n<p>I provide system administration, DevOps, support, and management services <strong>numbers<\/strong>, so that each role can take targeted action. Admins plan capacity, DevOps optimize applications, Support investigates incidents, and Management manages SLAs and pricing. Standardized reports foster a shared understanding of the situation. Dashboards highlight trends, while raw data reveals underlying causes. This enables coordination to happen quickly, reliably, and without <strong>Friction<\/strong>.<\/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\/server-accounting-analysis-blog-5129.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>Integrating monitoring, logging, and accounting<\/h2>\n\n<p>I combine historical process data with real-time monitoring and centralized logging so that I have both alerts and root causes. Monitoring provides warnings and up-to-date <strong>Thresholds<\/strong>, Logs provide context, and process accounting shows which user started what. This allows me to identify both immediate issues and long-term patterns. I keep events and metrics in sync so that correlations work properly. This integration generates reports that I use directly to make decisions about limits, time windows, and <strong>Scaling<\/strong> convince.<\/p>\n\n<h3>Alerts and SLOs in Practice<\/h3>\n<p>I define simple budgets: CPU seconds per customer per day, RAM GiB-hours per service, I\/O MB per batch window. If 80 % is exceeded, I send a proactive notification; at 100 %, an automated action is triggered (lower priority, reschedule job, enforce limits). I link SLOs to process classes: interactive queries receive stricter budgets and higher priorities than batch jobs. This keeps production-critical paths free.<\/p>\n\n<h2>Hosting Analytics: From Data to Decisions<\/h2>\n\n<p>I turn metrics into action: adjusting packages, upgrading customers, smoothing out spikes, and revising plugins. In doing so, I identify which hosting packages are using the most resources and where limits are being reached. For customers who regularly exceed their limits, I guide them to appropriate tiers with transparent <strong>Costs<\/strong>. I analyze daily patterns to determine the best times for nighttime windows or burst capacity. I prioritize high-load applications for tuning and <strong>refactoring<\/strong>.<\/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\/server_accounting_nacht_4829.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h3>Set up showbacks and chargebacks correctly<\/h3>\n<p>To ensure fair billing, I use weighted metrics: CPU seconds, RAM GiB-hours, and I\/O GB are assigned weighting factors based on cost structure. I document how these weights are determined, version them, and simulate invoices retroactively before going live. Reports include raw values, weighting, and totals per customer\u2014transparent and auditable. In exceptional cases (e.g., burst phases), I temporarily raise limits and note the time period in the report.<\/p>\n\n<h2>Server Resource Tracking Without Flying Blind<\/h2>\n\n<p>Without server resource tracking, you're throwing money away or risking outages. Too much reserve capacity drives up the <strong>Euro<\/strong>-Costs; insufficient reserves lead to delays and errors. That\u2019s why I consistently track metrics, so that provisioning and tuning are based on facts. Data builds trust with customers and within the team. This is how I manage growth step by step and maintain <strong>Availability<\/strong> high.<\/p>\n\n<h2>Best Practices for Operations and Data Protection<\/h2>\n\n<p>I set clear goals for measurement and reporting to ensure that effort and impact remain in balance. A defined retention policy protects storage resources and complies with legal <strong>Specifications<\/strong>. Data minimization and access controls safeguard personal data fields. Automated reports ensure that not a week goes by without insight into trends. Integration with existing tools streamlines processes and reduces <strong>Error<\/strong>.<\/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\/server_process_rsc_analysis_6157.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h3>Learn more about data protection and governance<\/h3>\n<p>I classify process data as operationally sensitive: usernames, commands, and timestamps may contain personally identifiable information. Therefore, I minimize the number of fields, pseudonymize data when necessary (using a hash per client), and assign role-based access rights according to the need-to-know principle. Retention periods are clearly documented, and deletion processes are automated. I log administrative actions (rotation, export) in an audit-proof manner so that audits can be conducted efficiently.<\/p>\n\n<h2>In Practice: Three Typical Scenarios<\/h2>\n\n<h3>Unexplained CPU spikes<\/h3>\n<p>If response times increase during peak hours, I check process data for commands running in parallel with traffic spikes. I often find backup or reporting scripts that are using all the cores. I consistently reschedule these jobs to a nighttime window and lower their priorities. Afterward, latency drops noticeably, and users experience fast performance again. <strong>Pages<\/strong>. I document the results with before-and-after reports from accounting and monitoring so that the impact remains clearly measurable and I can <strong>Plans<\/strong> customize.<\/p>\n\n<h3>Memory leak in an application<\/h3>\n<p>If an app starts to slow down during the day, I track RAM usage per process throughout the day. If a PHP-FPM worker keeps growing, it\u2019s likely there\u2019s a memory leak. I provide the development team with process IDs, timestamps, and growth curves. A targeted fix in the code and a quick reload of the services resolve the issue. This way, I save RAM, reduce swapping risks, and keep the <strong>Response time<\/strong> in the green zone.<\/p>\n\n<h3>Billing based on resource usage<\/h3>\n<p>For usage-based models, I track CPU time and RAM usage for each customer and compile the data monthly. The report clearly lists processes, time periods, and usage volumes. Customers can see the basis for their bill and receive tips on how to reduce their load. This creates transparency, reduces the number of inquiries, and supports fair <strong>Prices<\/strong>. At the same time, I adjust limits so that capacity matches actual <strong>Use<\/strong> fit.<\/p>\n\n<h2>Choose high-performance hosting<\/h2>\n\n<p>I look for server offerings that provide robust support for accounting, monitoring, and flexible scaling. Fast processors, reliable memory, good I\/O, and clear visibility into metrics are all important. Comparisons of high-performance hosting and server solutions show that providers such as <strong>webhoster.de<\/strong> Prioritize performance, transparency, and efficient management. To that end, I use dedicated machines, virtual servers, or cloud instances with clear limits. On this basis, I implement <strong>Hosting<\/strong>-Analytics without any friction.<\/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-serverraum-8752.png\" alt=\"\" width=\"1536\" height=\"1024\"\/>\n<\/figure>\n\n\n<h2>CPU Scheduling and Priorities Under Control<\/h2>\n\n<p>When it comes to load balancing, I often start by setting priorities and scheduling time slots so that computationally intensive jobs don\u2019t interfere with users\u2019 work. I use nice\/ionice and schedule jobs outside of peak times. If you\u2019d like to dive deeper, you\u2019ll find helpful background information on <a href=\"https:\/\/webhosting.de\/en\/server-process-scheduling-priorities-optimization-serverboost\/\">Process Priorities<\/a> and scheduling. This allows me to manage processes effectively and maintain a consistent throughput. Through consistent planning, I stabilize response times and save real <strong>Euro<\/strong>-amounts.<\/p>\n\n<h2>Isolation Using Linux cgroups and Container Limits<\/h2>\n\n<p>I isolate workloads using cgroups to prevent individual services from consuming all available resources. CPU, memory, and I\/O limits set clear upper bounds and prevent cascading effects. For containers, I use profiles that supplement accounting data and quickly highlight outliers. A brief introduction to <a href=\"https:\/\/webhosting.de\/en\/cgroups-hosting-resource-isolation-linux-containerlimits-serverboost\/\">cgroups and limits<\/a> helps you get started with a clean break. All in all, I gain control, predictability, and a fair division of <strong>Resources<\/strong>.<\/p>\n\n<h3>Container and Kubernetes environments<\/h3>\n<p>In container setups, I correlate process data with cgroup IDs and pod labels. For each pod\/namespace, I evaluate CPU time, RAM spikes, and I\/O, verify limits (requests\/limits) against actual usage, and reschedule jobs via cron jobs\/queues during off-peak hours. I aggregate short-lived processes at the pod level so that nothing falls under the radar. This way, I get both the level of detail for individual commands and a clear picture per application.<\/p>\n\n<h2>Understanding Metrics: CPU, Idle, Load<\/h2>\n\n<p>I analyze CPU idle, load, and I\/O wait alongside accounting data so that I can identify the root causes rather than just the symptoms. High load with significant I\/O wait often indicates memory or disk bottlenecks. A low idle value with few processes points to priorities or individual drivers. A concise overview of <a href=\"https:\/\/webhosting.de\/en\/server-metrics-cpu-idle-load-wait-analyze-serverboost\/\">CPU Idle and Load<\/a> helps integrate it into daily life. This is how I guide targeted <strong>Measures<\/strong> and prevent misinterpretations.<\/p>\n\n<h3>Limitations and Pitfalls<\/h3>\n<p>Process accounting is intentionally compact: very short-lived processes can only appear in aggregated form, with individual forks merging into collective entries. I reconcile this using sampling (pidstat, short intervals) and metric data. In heavily containerized environments, I pay attention to PID namespaces and UID mappings to ensure accurate attribution. At full load, I prioritize writing the accounting file to prevent gaps from occurring. And I test rotation under load to avoid race conditions.<\/p>\n\n<h3>Operationalization: Playbooks and Automation<\/h3>\n<p>I keep playbooks concise and effective:<\/p>\n<ul>\n  <li>Peak load: Identify the top 3 CPU-intensive processes over the last 15 minutes, pinpoint the culprits, lower their priority, reschedule jobs, and measure the results.<\/li>\n  <li>In the event of a leak: cluster the process family, check the growth curve, plan rolling restarts, create a profiling ticket, and document the breakpoint.<\/li>\n  <li>Billing case: Generate monthly summary, comment on outliers, make recommendations (upgrade, tuning, time window).<\/li>\n<\/ul>\n<p>Every week, I generate standard reports (Top N by CPU, RAM, I\/O, new\/unknown commands, SLA budget usage) and send them to the role owners. This keeps the flow of information consistent\u2014without me having to intervene manually every day.<\/p>\n\n<h3>Troubleshooting Made Easy<\/h3>\n<ul>\n  <li>No data? Check: <code>accton<\/code>-Status, file permissions in <code>\/var\/account<\/code>, Rotation\/Compression, Open Space.<\/li>\n  <li>Gaps in the time series? Synchronize timestamps and time zones, check NTP, decouple export runs.<\/li>\n  <li>File size too large? Reduce the rotation angle, enable compression, and move historical raw data to the archive.<\/li>\n  <li>Unclear attribution? Update UID\/GID maps, document service accounts, and consolidate container labels.<\/li>\n<\/ul>\n\n<h3>KPIs and review frequency<\/h3>\n<p>I use a few key metrics to manage the system: the ratio of planned to unplanned CPU load, the top 5 commands per customer, the budget hit rate per SLO, mean time to mitigation during peaks, and the data freshness of the accounting pipeline. Every month, I evaluate trends and adjust limits, time windows, and weightings in the billing process. This keeps the platform predictable, fair, and cost-effective.<\/p>\n\n<h2>Takeaways: Key Points for Everyday Life<\/h2>\n\n<p>I use <strong>Process<\/strong> Use accounting as a basis for clear decisions; combine it with monitoring and set limits where necessary. CPU, RAM, I\/O, and runtime patterns provide the metrics I need to manage capacity and control costs. With fair thresholds, clean isolation, and good time windows, services stay up and running and attack surfaces remain small. Consistent reports build trust and noticeably reduce support efforts. Those who consistently follow these steps keep hosting platforms reliable and the <strong>Performance<\/strong> high.<\/p>","protected":false},"excerpt":{"rendered":"<p>Learn how server process accounting and resource analysis work in hosting, and how you can optimize your infrastructure using the keyword \"process accounting Linux.\".<\/p>","protected":false},"author":1,"featured_media":19942,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[780],"tags":[],"class_list":["post-19949","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administration-anleitungen"],"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":"121","_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":"Process Accounting","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":"19942","footnotes":null,"_links":{"self":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/posts\/19949","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=19949"}],"version-history":[{"count":0,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/posts\/19949\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/media\/19942"}],"wp:attachment":[{"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/media?parent=19949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/categories?post=19949"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webhosting.de\/en\/wp-json\/wp\/v2\/tags?post=19949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}