Alternatives to IBM Log Analysis

You can instantly centralize, monitor, analyze, and report logs from any platform at any volume. Log aggregation, custom-parsing, smart alarming, role-based access controls, real time search, graphs and log analysis are all seamlessly integrated in this suite of tools. Our cloud-based SaaS solution is ready in just two minutes. It collects logs from AWS and Docker, Heroku, Elastic, and other sources. Running Kubernetes? Log in to two kubectl commands. Simple, pay per GB pricing without paywalls or overage charges. Fixed data buckets are also available. Pay only for the data that you use on a monthly basis. We are Privacy Shield certified and comply with HIPAA, GDPR, PCI and SOC2. Your logs will be protected in transit and storage with our military-grade encryption. Developers are empowered with modernized, user-friendly features and natural search queries. We save you time and money with no special training.

SEMAI is a revolutionary AI-driven SEO tool that revolutionizes digital marketing strategies. SEMAI is not just another SEO tool. It's a comprehensive recommendation system that's packed with functionalities to streamline and enhance Search Engine Optimization. What does SEMAI offer? SEMAI is a powerful tool for SEO and marketing professionals. Header Tag generation: Create and optimize header tags for SEO effectiveness and content organization. Predictive Threat Analysis of Keyword Rankings: Use predictive AI to identify potential risks before they occur, enabling proactive actions to maintain search visibility. Tailored Content Creation : Create content that is aligned to different stages of the funnel. This will increase engagement and relevance. Monitor competitor strategies by analyzing header modifications, content changes, and keyword ranking shifts.

Capture all logs and respond to inquiries in real-time with cutting-edge log management that includes streaming observability and cost-effective Unlimited Plans. Humio is designed to quickly ingest and preserve streaming data as it arrives, no matter the quantity. Alerts, scripts, and dashboards reflect updates instantly, while both live tail and searches of retained data experience nearly zero latency. With an index-free architecture, Humio accommodates any format, whether structured or unstructured. Users can formulate any question regarding live or archived data without the need to define fields in advance, ensuring rapid response times. Humio’s pricing is competitive, featuring top-tier Unlimited Plans that cater to various needs. Its sophisticated compression techniques and bucket storage approach can reduce compute and storage expenses by up to 70%. Moreover, Humio can be deployed in just a few minutes and requires minimal upkeep. By ingesting unlimited data at any throughput, Humio ensures you have access to the complete dataset necessary for timely incident detection and response, making it a robust solution for modern data management. Its user-friendly interface and efficient architecture position it as a leader in the log management space.

SpectX is a powerful log analysis tool for data exploration and incident investigation. It does not index or ingest data, but it runs queries directly on log files in file systems and blob storage. Local log servers, cloud storage Hadoop clusters JDBC-databases production servers, Elastic clusters or anything that speaks HTTP – SpectX transforms any text-based log file into structured virtual views. SpectX query language was inspired by Unix piping. Analysts can create complex queries and gain advanced insights with the extensive library of query functions that are built into SpectX. Each query can be executed via the browser-based interface. Advanced options allow you to customize the resultset. This makes it easy for SpectX to be integrated with other applications that require clean, structured data. SpectX's easy-to-read pattern-matching language can match any data without the need to read or create regex.

Simplyblock provides a distributed storage solution for IO-intensive and latency-sensitive container workloads in the cloud, offering an alternative to Elastic Block Storage services. The storage solution enables thin provisioning, encryption, compression, storage virtualization, and more.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

Sysgem's Logfile Concentrator is an all-encompassing tool for Windows that consolidates log file data streams from various sources into a unified central repository. This solution gathers log information from diverse remote servers and endpoint devices, ensuring it is stored in a centralized database for both analysis and regulatory compliance purposes. Among its notable features are automated archiving and reporting capabilities, customizable record views, sophisticated querying options, an audit trail for tracking changes, and robust compliance management tools. Furthermore, it includes intelligent alerts and real-time notifications to keep users informed of critical events. The platform boasts a user-friendly interface that can be tailored for real-time monitoring, along with a full web browser interface that allows for convenient remote access. It also supports widely-used ODBC databases, including MS SQL, Oracle, and MS Access, enhancing its versatility. Additionally, Logfile Concentrator can operate independently or work in tandem with the Sysgem Enterprise Manager (SEM), making it a flexible choice for organizations looking to streamline their log management processes.

Zettar zx - High-Performance Data Migration and Transfer Use Cases • Replication and Sync Data Migration • Transparent Tiering • In-Cloud Migration • Hybrid Cloud Data Movement • Data centralization for AI and Analytics platforms • Autonomous vehicle data collection • Recurring edge to core and edge-to cloud ingest workloads • Data Backup and Recovery • Data staging • Data transfer at petabyte scale & Billion files Transfer • Data Transfer and Forwarding Real-time streaming Key Features • Peer-toPeer Scale Out: Lightning-fast data transfer with cluster-level parallel computing. • Transparent Compression • Works with Ethernet and InfiniBand. • Supports files, objects (including S3 AWS) and S3 multipart APIs. • Send and receive simultaneously. Users can have a separate data area to read and write. • Secure and Reliable : TLS encryption to secure data transmission • SDK & API Integration • Web Access

Swiftly eliminate threats through immediate detection and lightning-fast search capabilities while minimizing logging expenses. Accelerate your threat detection efforts by analyzing incoming data in less than a second. Identify suspicious behaviors significantly faster than conventional security logging solutions allow. Utilizing a robust, index-free architecture enables you to log all data and keep it for years without facing ingestion delays. This approach allows for the collection of more data for investigations and threat hunting, scaling to over 1 PB of data ingestion daily with minimal impact on performance. Falcon LogScale enhances your searching, hunting, and troubleshooting capabilities through a user-friendly, powerful query language. Explore deeper insights with filtering, aggregation, and regex support to enrich your analysis. Effortlessly execute free-text searches across all events. Both live and historical dashboards empower users to swiftly prioritize threats, observe trends, and address issues. Furthermore, users can seamlessly navigate from visual charts to detailed search results for deeper insights. This holistic approach ensures a comprehensive understanding of your security landscape.

Introducing the ultimate multicloud monitoring solution that offers real-time analytics for diverse environments, previously known as SignalFx. This platform enables monitoring across any environment using a highly scalable streaming architecture. It features open, adaptable data collection and delivers rapid visualizations of services in mere seconds. Designed specifically for dynamic and ephemeral cloud-native environments, it supports various scales including Kubernetes, containers, and serverless architectures. Users can promptly detect, visualize, and address issues as they emerge. It empowers real-time infrastructure performance monitoring at cloud scale through innovative predictive streaming analytics. With over 200 pre-built integrations for various cloud services and ready-to-use dashboards, it facilitates swift visualization of your entire operational stack. Additionally, the system can autodiscover, break down, group, and explore various clouds, services, and systems effortlessly. This comprehensive solution provides a clear understanding of how your infrastructure interacts across multiple services, availability zones, and Kubernetes clusters, enhancing operational efficiency and response times.

Istio is an innovative open-source technology that enables developers to effortlessly connect, manage, and secure various microservices networks, irrespective of the platform, origin, or vendor. With a rapidly increasing number of contributors on GitHub, Istio stands out as one of the most prominent open-source initiatives, bolstered by a robust community. IBM takes pride in being a founding member and significant contributor to the Istio project, actively leading its Working Groups. On the IBM Cloud Kubernetes Service, Istio is available as a managed add-on, seamlessly integrating with your Kubernetes cluster. With just one click, users can deploy a well-optimized, production-ready instance of Istio on their IBM Cloud Kubernetes Service cluster, which includes essential core components along with tools for tracing, monitoring, and visualization. This streamlined process ensures that all Istio components are regularly updated by IBM, which also oversees the lifecycle of the control-plane components, providing users with a hassle-free experience. As microservices continue to evolve, Istio's role in simplifying their management becomes increasingly vital.

Efficient, large-scale log management and analysis in real time. Securely store, search, analyze, and receive alerts for all your log data and events effortlessly. Ingest custom logs from any origin. This is a fully managed service capable of handling exabyte-scale application and infrastructure logs. Experience real-time analysis of your log data. It is compatible with Google Cloud services and seamlessly integrates with Cloud Monitoring, Error Reporting, and Cloud Trace, enabling you to swiftly diagnose issues throughout your applications and infrastructure. With ingestion latency measured in sub-seconds and an impressive ingestion rate of terabytes per second, you can safely accumulate all logs from various sources without any management burden. Enhance your capabilities by merging Cloud Logging with BigQuery for in-depth analysis, and utilize log-based metrics to create real-time dashboards in Cloud Monitoring. Additionally, this comprehensive management solution simplifies the process of maintaining data integrity while optimizing system performance.

OpenText™ Security Log Analytics offers a powerful and scalable security operations stack designed to improve log management, threat hunting, and compliance efforts across organizations. Its intuitive natural language-like interface allows analysts to perform fast, hypothesis-driven queries without needing complex syntax, reducing the time and effort to identify threats. The platform is built on a columnar database that ensures data immutability, safeguarding log integrity against unauthorized changes. Security teams benefit from automated workflows that minimize exposure time by handling tedious remediation tasks quickly and efficiently. With support for ingesting and normalizing data from more than 480 sources, it provides comprehensive visibility across diverse security environments. Compliance is simplified through automated and customizable reports tailored for regulatory requirements including GDPR, PCI, and FIPS 140-2. The solution is designed to scale effortlessly, allowing organizations to expand their infrastructure by adding nodes as needed. OpenText also offers flexible deployment options, including on-premises and managed services, to fit various operational needs.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

IBM Kubecost offers immediate visibility and insights into costs for teams utilizing Kubernetes, enabling ongoing reductions in cloud expenses. You can analyze costs associated with various Kubernetes elements, such as deployments, services, and namespace labels. Monitor expenses from multiple clusters in one consolidated view or through a unified API endpoint. Additionally, link Kubernetes expenditures with any external cloud services or infrastructure costs to gain a holistic understanding of your spending. Costs from external sources can be allocated to specific Kubernetes components, providing a thorough overview of financial outlays. Receive actionable suggestions for cost savings that do not compromise performance, allowing you to refine infrastructure or application modifications for enhanced resource efficiency and reliability. With real-time alerts, you can swiftly identify potential cost overruns and risks of infrastructure failures before they escalate into larger issues. Maintain seamless engineering workflows by integrating Kubecost with collaboration tools like PagerDuty and Slack, ensuring that your teams stay informed and responsive. Ultimately, this comprehensive approach empowers organizations to optimize their Kubernetes spending effectively.

With just a few clicks, you can effortlessly deploy multiple ESB instances on the Integration Platform. You can also monitor and troubleshoot both singular instances and entire clusters through a centralized dashboard. The ESB instances run in lightweight Docker containers, enhancing resource efficiency and responsiveness compared to traditional virtual machines. Leveraging the robust Kubernetes framework, the platform quickly identifies and restarts any failed instances within seconds. You have the flexibility to scale computing power by adding or removing physical or virtual machines without affecting existing components. The IPS dashboard allows for streamlined management of ESB clusters, projects, configurations, and user permissions, alongside monitoring statistics and debugging instances. Additionally, you can integrate project-specific dashboards to effectively oversee and manage the platform and individual projects from one cohesive interface. This unified approach not only simplifies management but also enhances overall operational efficiency.

CloudNatix has the capability to connect seamlessly to any infrastructure, whether it be in the cloud, a data center, or at the edge, and supports a variety of platforms including virtual machines, Kubernetes, and managed Kubernetes clusters. By consolidating your distributed resource pools into a cohesive planet-scale cluster, this service is delivered through a user-friendly SaaS model. Users benefit from a global dashboard that offers a unified perspective on costs and operational insights across various cloud and Kubernetes environments, such as AWS, EKS, Azure, AKS, Google Cloud, GKE, and more. This comprehensive view enables you to explore the intricacies of each resource, including specific instances and namespaces, across diverse regions, availability zones, and hypervisors. Additionally, CloudNatix facilitates a unified cost-attribution framework that spans multiple public, private, and hybrid clouds, as well as various Kubernetes clusters and namespaces. Furthermore, it automates the process of attributing costs to specific business units as you see fit, streamlining financial management within your organization. This level of integration and oversight empowers businesses to optimize resource utilization and make informed decisions regarding their cloud strategies.

OpenCost is an open-source initiative that is vendor-neutral, designed to measure and allocate costs associated with cloud infrastructure and containers in real-time. Developed by experts in Kubernetes and backed by practitioners in the field, OpenCost brings transparency to the often opaque spending patterns associated with Kubernetes. It offers flexible and customizable options for cost allocation and monitoring of cloud resources, facilitating accurate showback, chargeback, and continuous reporting. The tool provides real-time cost allocation that can be examined down to individual containers, ensuring precise tracking of expenses. It effectively allocates costs for in-cluster resources, including CPU, GPU, memory, load balancers, and persistent volumes. Additionally, OpenCost features dynamic asset pricing by integrating with billing APIs from AWS, Azure, and GCP, while also accommodating on-premises Kubernetes clusters with tailored pricing solutions. Beyond the Kubernetes cluster, it can monitor expenses from cloud providers related to resources such as object storage and databases, as well as other managed services. Furthermore, it seamlessly integrates with other open-source tools, allowing for convenient exports of pricing data to platforms like Prometheus, enhancing its utility in cost management. This makes OpenCost a comprehensive solution for organizations seeking to maintain control over their cloud spending effectively.

BotKube is an innovative messaging bot designed for the monitoring and troubleshooting of Kubernetes clusters, developed and supported by InfraCloud. This versatile tool seamlessly integrates with various messaging platforms such as Slack, Mattermost, and Microsoft Teams, enabling users to oversee their Kubernetes environments, address critical deployment issues, and receive best practice recommendations through checks on Kubernetes resources. By observing Kubernetes activities, BotKube promptly alerts the designated channel about any noteworthy events, such as an ImagePullBackOff error, ensuring timely awareness. Users can tailor the specific objects and event severity levels they wish to monitor from their Kubernetes clusters, with the flexibility to enable or disable notifications as needed. Furthermore, BotKube is capable of executing kubectl commands within the Kubernetes cluster without requiring access to Kubeconfig or the underlying infrastructure, enhancing security. With BotKube, you can easily troubleshoot your deployments, services, or any other aspects of your cluster directly from your messaging interface, fostering a more efficient workflow. The ability to receive instant updates and perform actions from a familiar messaging platform significantly streamlines the management of Kubernetes environments.

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

The Percona Kubernetes Opera for Percona XtraDB Cluster and Percona Server For MongoDB automates the creation of, alteration or deletion of members within your Percona XtraDB Cluster and Percona Serverfor MongoDB environments. It can be used for creating a Percona XtraDB Cluster, Percona Server For MongoDB replica set or scaling an existing environment. The Operator contains all required Kubernetes settings for a consistent Percona XtraDB cluster or Percona Server to MongoDB instance. The Percona Kubernetes Operators follow best practices in the configuration and setup of a Percona XtraDB cluster or Percona Server to MongoDB replica set. The Operator has many benefits, but the most important is to save time and provide a consistent, vetted environment.

VictoriaLogs is an open-source log-database from VictoriaMetrics that has been designed to be easy-to-use. It integrates seamlessly with popular log collectors, and offers a simpler setup process than Elasticsearch or Grafana Loki. LogsQL's robust query language allows for full-text searches across all log fields. This simplifies log management. It scales well with CPU, RAM and disk IO. It runs efficiently on Raspberry Pis and high-end servers. It can handle data volumes up 30 times greater than Elasticsearch or Grafana Loki, on the same hardware. This makes it a powerful option for various environments. VictoriaLogs supports full-text searches over log fields with high-cardinality like trace_id and IP. It integrates seamlessly with Unix log analysis programs like grep and less. It offers multi-tenancy, which can accommodate a variety of needs.

DxEnterprise is a versatile Smart Availability software that operates across multiple platforms, leveraging its patented technology to support Windows Server, Linux, and Docker environments. This software effectively manages various workloads at the instance level and extends its capabilities to Docker containers as well. DxEnterprise (DxE) is specifically tuned for handling native or containerized Microsoft SQL Server deployments across all platforms, making it a valuable tool for database administrators. Additionally, it excels in managing Oracle databases on Windows systems. Beyond its compatibility with Windows file shares and services, DxE offers support for a wide range of Docker containers on both Windows and Linux, including popular relational database management systems such as Oracle, MySQL, PostgreSQL, MariaDB, and MongoDB. Furthermore, it accommodates cloud-native SQL Server availability groups (AGs) within containers, ensuring compatibility with Kubernetes clusters and diverse infrastructure setups. DxE's seamless integration with Azure shared disks enhances high availability for clustered SQL Server instances in cloud environments, making it an ideal solution for businesses seeking reliability in their database operations. Its robust features position it as an essential asset for organizations aiming to maintain uninterrupted service and optimal performance.

The Kubermatic Kubernetes Platform (KKP) facilitates digital transformation for enterprises by streamlining their cloud operations regardless of location. With KKP, operations and DevOps teams can easily oversee virtual machines and containerized workloads across diverse environments, including hybrid-cloud, multi-cloud, and edge, all through a user-friendly self-service portal designed for both developers and operations. As an open-source solution, KKP allows for the automation of thousands of Kubernetes clusters across various settings, ensuring unmatched density and resilience. It enables organizations to establish and run a multi-cloud self-service Kubernetes platform with minimal time to market, significantly enhancing efficiency. Developers and operations teams are empowered to deploy clusters in under three minutes on any infrastructure, which fosters rapid innovation. Workloads can be centrally managed from a single dashboard, providing a seamless experience whether in the cloud, on-premises, or at the edge. Furthermore, KKP supports the scalability of your cloud-native stack while maintaining enterprise-level governance, ensuring compliance and security throughout the infrastructure. This capability is essential for organizations aiming to maintain control and agility in today's fast-paced digital landscape.

CLS is packed with a multitude of features such as real-time log collection, structured logging, dependable storage, fast search capabilities, multidimensional analysis, and scheduled log shipping. Additionally, it offers a comprehensive API and user-friendly console for efficient log management. The platform is built on a scalable, distributed architecture that is incredibly flexible, enabling it to handle large volumes of logs simultaneously. This means users can effortlessly process hundreds of millions of log files daily without the typical challenges related to resource allocation. Logs are captured instantaneously, allowing for immediate searching and analysis as they are ingested into CLS. With its robust query engine, the service can sift through hundreds of millions of files in under a second, facilitating the examination and processing of substantial amounts of log data. CLS supports various log aggregation methods, including the LogListener agent, API, and SDK, which streamline the collection and centralized management of logs. Furthermore, the initial setup can be accomplished in as little as five minutes, making it an attractive option for organizations seeking quick deployment. Overall, CLS provides a comprehensive solution for organizations that require efficient log management and analysis.

Snare Central serves as a comprehensive log management system that gathers, processes, and archives log data from a multitude of sources throughout an organization's network. This solution offers a secure and adaptable environment for consolidating logs generated by various systems, applications, and devices, thereby facilitating effective monitoring and analysis. With its sophisticated filtering and reporting features, Snare Central empowers organizations to identify security risks, maintain regulatory compliance, and enhance operational efficiency. The platform also allows for integration with external tools to boost analytical capabilities and comes equipped with customizable dashboards that provide immediate insights. Tailored to meet the demands of security, compliance, and IT teams, Snare Central not only delivers a consolidated view of log data but also aids in conducting thorough investigations, thereby fostering a proactive security posture. Ultimately, it plays a crucial role in helping organizations stay ahead of potential threats through efficient log management.

Cloud Foundry simplifies and accelerates the processes of building, testing, deploying, and scaling applications while offering a variety of cloud options, developer frameworks, and application services. As an open-source initiative, it can be accessed through numerous private cloud distributions as well as public cloud services. Featuring a container-based architecture, Cloud Foundry supports applications written in multiple programming languages. You can deploy applications to Cloud Foundry with your current tools and without needing to alter the code. Additionally, CF BOSH allows you to create, deploy, and manage high-availability Kubernetes clusters across any cloud environment. By separating applications from the underlying infrastructure, users have the flexibility to determine the optimal hosting solutions for their workloads—be it on-premises, public clouds, or managed infrastructures—and can relocate these workloads swiftly, typically within minutes, without any modifications to the applications themselves. This level of flexibility enables businesses to adapt quickly to changing needs and optimize resource usage effectively.

Say goodbye to intricate log management setups and effortlessly retrieve log information from Docker containers, Kubernetes, and remote log files via SSH. With Retrospective, tedious search and monitoring tasks are transformed into a matter of mere minutes, utilizing just your laptop without the need for log collector agents or additional software. This tool allows you to efficiently search and oversee extensive collections of log files from both local and remote origins, ensuring that your servers remain unburdened. You can navigate your files through Retrospective’s sophisticated features to delve into your search and monitoring outcomes. Keep an eye on container log data while easily identifying points of interest within your local container logs using the intuitive search criteria composer. Furthermore, Retrospective provides a consolidated view of your entire setup, accommodating multiple containers operating simultaneously within your Docker environment. The organized data can also be exported in various formats for compatibility with other analytical tools, making it a versatile asset for log management. This streamlined approach not only saves time but also enhances your overall operational efficiency.

Experience a robust solution for managing OpenSearch clusters within the Yandex Cloud ecosystem. Leverage this widely adopted open-source technology to seamlessly incorporate rapid and scalable full-text search capabilities into your applications. You can launch a pre-configured OpenSearch cluster in mere minutes, with settings tailored for optimal performance based on your selected cluster size. We handle all aspects of cluster upkeep, including resource allocation, monitoring, fault tolerance, and timely software upgrades. Take advantage of our visualization tools to create analytical dashboards, monitor application performance, and establish alert systems. Additionally, you can integrate third-party authentication and authorization services like SAML to enhance security. The service also allows for detailed configurations regarding data access levels, ensuring that users can maintain control over their information. By utilizing open source code, we foster collaboration with the community, allowing us to deliver prompt updates and mitigate the risk of vendor lock-in. OpenSearch stands out as a highly scalable suite of open-source search and analytics tools, offering a comprehensive range of technologies for efficient search and analysis. With this system, organizations can not only enhance their data capabilities but also stay ahead in the competitive landscape of information retrieval.

SolarWinds®, Loggly®, is a cost-effective, hosted and scalable multi-source log management system that combines powerful search and analytics with extensive alerting, dashboarding and reporting to help you identify potential problems and reduce Mean Time to Fix (MTTR). LOGGLY AT A GLANCE >> Full-stack log aggregation, log monitoring and data analytics Log analytics provides context and patterns for events, as well as anomalies that can be used to gain deeper insights. >> Highly scalable to ingest large data volumes and enable quick searching across large and complicated environments >> Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user, log, and infrastructure data >> Manage by exception: Identify variations from the norm with powerful log formatting capabilities and analytic search capabilities

The engineering team at Altinity possesses extensive expertise, enabling them to implement a wide range of functionalities from essential ClickHouse features to the behavior of Kubernetes operators and enhancements for client libraries. They offer a versatile, docker-based GUI manager for ClickHouse that enables users to install clusters, manage nodes through addition, deletion, or replacement, monitor the status of clusters, and assist with troubleshooting and diagnostics. Additionally, they support various third-party tools and software integrations, including ingestion tools like Kafka and ClickTail, APIs for Python, Golang, ODBC, and Java, as well as compatibility with Kubernetes. UI tools such as Grafana, Superset, Tabix, and Graphite are also part of their ecosystem, along with database integrations for MySQL and PostgreSQL, and business intelligence tools like Tableau and many others. Altinity.Cloud draws upon its extensive experience gained from assisting numerous clients in managing ClickHouse-based analytics, ensuring it meets diverse needs. Built on a Kubernetes-based architecture, Altinity.Cloud offers both portability and flexibility regarding deployment options, allowing users to operate without fear of vendor lock-in. Recognizing that effective cost management is vital for SaaS companies, Altinity prioritizes this aspect in its offerings to support sustainable growth.

Efficiently manage multicluster environments for Azure Kubernetes Service (AKS) that involve tasks such as workload distribution, north-south traffic load balancing for incoming requests to various clusters, and coordinated upgrades across different clusters. The fleet cluster offers a centralized management system for overseeing all your clusters on a large scale. A dedicated hub cluster manages the upgrades and the configuration of your Kubernetes clusters seamlessly. Through Kubernetes configuration propagation, you can apply policies and overrides to distribute resources across the fleet's member clusters effectively. The north-south load balancer regulates the movement of traffic among workloads situated in multiple member clusters within the fleet. You can group various Azure Kubernetes Service (AKS) clusters to streamline workflows involving Kubernetes configuration propagation and networking across multiple clusters. Furthermore, the fleet system necessitates a hub Kubernetes cluster to maintain configurations related to placement policies and multicluster networking, thereby enhancing operational efficiency and simplifying management tasks. This approach not only optimizes resource usage but also helps in maintaining consistency and reliability across all clusters involved.

Oracle Cloud Infrastructure Notifications is a robust and reliable publish/subscribe (pub/sub) service designed to efficiently transmit alerts and messages to various platforms, including Oracle Functions, email, and integrated messaging services like Slack and PagerDuty. This service ensures secure access through its integration with Identity and Access Management, maintaining message delivery even during high traffic periods. It allows users to send notifications in response to alarm breaches and facilitates communication by relaying messages from the Monitoring and Events Service to multiple endpoints such as email and HTTPs. Users can be alerted about a range of occurrences, including the addition of new files in object storage or the initiation of new compute instances. Additionally, Notifications can trigger specific Functions that execute code snippets, enabling actions such as automatically increasing the resources of an Autonomous Database instance or modifying the configuration of a compute instance. Administrators have the ability to manage subscriptions conveniently via the console, SDK, or Notifications API, ensuring a seamless and user-friendly experience. This comprehensive service not only enhances operational efficiency but also supports proactive management of cloud resources.

Ubuntu Server offers both economic and technical scalability for your data center, whether it is public or private. Whether your goal is to establish an OpenStack cloud, a Kubernetes cluster, or a massive 50,000-node render farm, Ubuntu Server provides unparalleled scale-out performance that delivers exceptional value. You can seamlessly deploy a variety of applications, including NoSQL databases and web farms, without any hassle. With certification from leading hardware manufacturers and a robust set of deployment tools, you can maximize the efficiency of your infrastructure. The regular release cycle ensures that you always have access to the latest and highest performing open-source solutions. Additionally, its lightweight initial installation combined with integrated deployment and application modeling technologies positions Ubuntu Server as an ideal choice for straightforward deployment and scaled management. Ultimately, this makes it an excellent option for organizations seeking to optimize their operational efficiency and resource utilization.

A CLB cluster is made up of four physical servers, achieving a remarkable availability rate of up to 99.95%. Even in scenarios where only a single CLB instance remains operational, it is capable of handling more than 30 million concurrent connections. The system is designed to swiftly eliminate any malfunctioning instances while retaining healthy ones, ensuring the backend server's continuous functionality. Additionally, the CLB cluster can flexibly scale the service capacity of the application in response to business demand, automatically generating and releasing CVM instances via the Auto Scaling dynamic scaling group. Complementing these capabilities is a dynamic monitoring system along with a billing mechanism that tracks usage down to the second, alleviating the need for manual resource management or forecasting. This streamlined process not only optimizes resource allocation but also significantly reduces the potential for waste, allowing businesses to focus on growth rather than infrastructure management. Ultimately, the combination of these advanced features promotes a more efficient and responsive computing environment.

Enhance your operational efficiency by leveraging a widely-used open-source solution managed by AWS. Implement auditing and data security measures with an architecture that includes built-in certifications for both data centers and networks. Proactively identify potential threats and respond to system conditions by utilizing machine learning, alert notifications, and visualization tools. Streamline your time and resources to focus on strategic initiatives. Gain secure access to real-time search capabilities, monitoring, and analysis of both business and operational data. Amazon OpenSearch Service simplifies the process of conducting interactive log analytics, monitoring applications in real-time, and enabling website search functionalities. As an open-source, distributed search and analytics suite that evolved from Elasticsearch, OpenSearch allows for extensive data exploration. Amazon OpenSearch Service provides users with the latest releases of OpenSearch, compatibility with 19 different versions of Elasticsearch (ranging from 1.5 to 7.10), and visualization features through OpenSearch dashboards and Kibana, ensuring a comprehensive toolkit for data management. This versatile service empowers organizations to harness data insights efficiently while maintaining a robust security posture.

Oracle's Container Engine for Kubernetes (OKE) serves as a managed container orchestration solution that significantly minimizes both the time and expenses associated with developing contemporary cloud-native applications. In a departure from many competitors, Oracle Cloud Infrastructure offers OKE as a complimentary service that operates on high-performance and cost-efficient compute shapes. DevOps teams benefit from the ability to utilize unaltered, open-source Kubernetes, enhancing application workload portability while streamlining operations through automated updates and patch management. Users can initiate the deployment of Kubernetes clusters along with essential components like virtual cloud networks, internet gateways, and NAT gateways with just a single click. Furthermore, the platform allows for the automation of Kubernetes tasks via a web-based REST API and a command-line interface (CLI), covering all aspects from cluster creation to scaling and maintenance. Notably, Oracle does not impose any fees for managing clusters, making it an attractive option for developers. Additionally, users can effortlessly and swiftly upgrade their container clusters without experiencing any downtime, ensuring they remain aligned with the latest stable Kubernetes version. This combination of features positions Oracle's offering as a robust solution for organizations looking to optimize their cloud-native development processes.

AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.

Achieve unparalleled security observability by leveraging insightful data from your logs. Enhance the visibility of your infrastructure while bolstering threat prevention through a flexible, multi-platform solution. With compatibility spanning over 100 operating system versions and more than 120 customizable modules, you can obtain extensive insights and strengthen your overall security posture. Significantly lower the expenses associated with your SIEM solution by effectively minimizing noisy and redundant log data. By filtering events, truncating unnecessary fields, and eliminating duplicates, you can substantially improve the quality of your logs. Unify the collection and aggregation of logs from all systems within your organization using a single, comprehensive tool. This approach simplifies the management of security-related events and accelerates both detection and response times. Additionally, empower your organization to fulfill compliance obligations by centralizing specific logs within a SIEM while archiving others for long-term retention. The NXLog Platform serves as an on-premises solution designed for streamlined log management, offering versatile processing capabilities to meet diverse needs. This powerful tool not only enhances security efficiency but also provides a streamlined approach to managing extensive log data.

TKE seamlessly integrates with the full spectrum of Kubernetes features and has been optimized for Tencent Cloud's core IaaS offerings, including CVM and CBS. Moreover, Tencent Cloud's Kubernetes-driven products like CBS and CLB facilitate one-click deployments to container clusters for numerous open-source applications, significantly enhancing the efficiency of deployments. With the implementation of TKE, the complexities associated with managing large clusters and the operations of distributed applications are greatly reduced, eliminating the need for specialized cluster management tools or the intricate design of fault-tolerant cluster systems. You simply initiate TKE, outline the tasks you wish to execute, and TKE will handle all cluster management responsibilities, enabling you to concentrate on creating Dockerized applications. This streamlined process allows developers to maximize their productivity and innovate without being bogged down by infrastructure concerns.

Enhance your contemporary applications with VMware Tanzu Kubernetes Grid, enabling you to operate the same Kubernetes environment across data centers, public cloud, and edge computing, ensuring a seamless and secure experience for all development teams involved. Maintain proper workload isolation and security throughout your operations. Benefit from a fully integrated, easily upgradable Kubernetes runtime that comes with prevalidated components. Deploy and scale clusters without experiencing any downtime, ensuring that you can swiftly implement security updates. Utilize a certified Kubernetes distribution to run your containerized applications, supported by the extensive global Kubernetes community. Leverage your current data center tools and processes to provide developers with secure, self-service access to compliant Kubernetes clusters in your VMware private cloud, while also extending this consistent Kubernetes runtime to your public cloud and edge infrastructures. Streamline the management of extensive, multi-cluster Kubernetes environments to keep workloads isolated, and automate lifecycle management to minimize risks, allowing you to concentrate on more strategic initiatives moving forward. This holistic approach not only simplifies operations but also empowers your teams with the flexibility needed to innovate at pace.

GoAccess is a real-time web log analysis tool that is open-source and can be utilized via a terminal on Unix-like systems or through a web browser interface. Its design prioritizes quick analysis, delivering immediate HTTP statistics that are particularly beneficial for system administrators seeking prompt insights into server performance. This versatile tool accommodates multiple web log formats, such as those from Apache, Nginx, Amazon S3, Elastic Load Balancing, CloudFront, and Caddy, which allows users to select the log format and analyze their logs without difficulty. Developed in C, GoAccess has a minimal dependency requirement of just ncurses, which contributes to its rapid millisecond-level updates. It features customizable dashboards for both terminal and web interfaces, allowing users to adjust color schemes to meet their aesthetic preferences. In addition to terminal outputs, GoAccess can produce detailed, self-contained HTML reports in real-time, as well as JSON files, thereby enhancing capabilities for analytics, monitoring, and data visualization. The ability to generate various output formats makes GoAccess a flexible choice for administrators looking to optimize their log analysis processes.

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

Establish your Kubernetes infrastructure and utilize KubeGrid for the seamless deployment, monitoring, and optimization of potentially thousands of clusters. KubeGrid streamlines the complete lifecycle management of Kubernetes across both on-premises and cloud environments, allowing developers to effortlessly deploy, manage, and update numerous clusters. As a Platform as Code solution, KubeGrid enables you to declaratively specify all your Kubernetes needs in a code format, covering everything from your on-prem or cloud infrastructure to the specifics of clusters and autoscaling policies, with KubeGrid handling the deployment and management automatically. While most infrastructure-as-code solutions focus solely on provisioning, KubeGrid enhances the experience by automating Day 2 operations, including monitoring infrastructure, managing failovers for unhealthy nodes, and updating both clusters and their operating systems. Thanks to its innovative approach, Kubernetes excels in the automated provisioning of pods, ensuring efficient resource utilization across your infrastructure. By adopting KubeGrid, you transform the complexities of Kubernetes management into a streamlined and efficient process.

While many Kubernetes platforms enable users to create and oversee Kubernetes clusters, Loft takes a different approach. Rather than being a standalone solution for managing clusters, Loft serves as an advanced control plane that enhances your current Kubernetes environments by introducing multi-tenancy and self-service functionalities, maximizing the benefits of Kubernetes beyond mere cluster oversight. It boasts an intuitive user interface and command-line interface, yet operates entirely on the Kubernetes framework, allowing seamless management through kubectl and the Kubernetes API, which ensures exceptional compatibility with pre-existing cloud-native tools. The commitment to developing open-source solutions is integral to our mission, as Loft Labs proudly holds membership with both the CNCF and the Linux Foundation. By utilizing Loft, organizations can enable their teams to create economical and efficient Kubernetes environments tailored for diverse applications, fostering innovation and agility in their workflows. This unique capability empowers businesses to harness the true potential of Kubernetes without the complexity often associated with cluster management.