Best IT Management Software for Grafana Cloud - Page 3

Tiger Data reimagines PostgreSQL for the modern era — powering everything from IoT and fintech to AI and Web3. As the creator of TimescaleDB, it brings native time-series, event, and analytical capabilities to the world’s most trusted database engine. Through Tiger Cloud, developers gain access to a fully managed, elastic infrastructure with auto-scaling, high availability, and point-in-time recovery. The platform introduces core innovations like Forks (copy-on-write storage branches for CI/CD and testing), Memory (durable agent context and recall), and Search (hybrid BM25 and vector retrieval). Combined with hypertables, continuous aggregates, and materialized views, Tiger delivers the speed of specialized analytical systems without sacrificing SQL simplicity. Teams use Tiger Data to unify real-time and historical analytics, build AI-driven workflows, and streamline data management at scale. It integrates seamlessly with the entire PostgreSQL ecosystem, supporting APIs, CLIs, and modern development frameworks. With over 20,000 GitHub stars and a thriving developer community, Tiger Data stands as the evolution of PostgreSQL for the intelligent data age.

Struct is an innovative communication platform that leverages artificial intelligence to enhance the way teams collect, structure, and utilize insights from their conversations, effectively converting chat exchanges into an organized and searchable knowledge repository. Unlike traditional messaging systems that treat conversations as fleeting, Struct systematically categorizes discussions into coherent threads and feeds, all while developing a contextual knowledge base that retains critical insights, decisions, and shared materials. By harnessing AI capabilities, it analyzes dialogues to highlight pertinent information and link related concepts, ensuring that essential context remains intact over time and across messages. This functionality enables teams to swiftly access documents, answers, and past exchanges without the hassle of sifting through various tools or reiterating information. Furthermore, Struct prioritizes clarity and productivity by minimizing communication noise, transforming routine interactions into actionable knowledge that bolsters teamwork and informed decision-making processes. Ultimately, this approach not only streamlines collaboration but also empowers teams to work more efficiently and effectively.

Devtron serves as an AI-driven, Kubernetes-centric DevOps platform that aims to streamline and integrate the entire application delivery lifecycle, infrastructure oversight, and operational tasks within a singular control interface. By merging essential DevOps functionalities, including CI/CD, GitOps, security measures, observability, cost oversight, and debugging tools, it removes the hassle of juggling various disjointed tools and dashboards. This platform functions as a unified control layer for Kubernetes settings, empowering teams to deploy, monitor, manage, and resolve issues with applications across multi-cloud or on-premises clusters, all while ensuring comprehensive visibility and governance. Additionally, it features Kubernetes-native CI/CD pipelines with no-code workflows, orchestration across multiple environments, approval-based deployments, and reusable templates, facilitating quicker and more dependable software delivery while minimizing manual tasks. Thus, organizations can achieve greater efficiency and consistency in their development processes.

Skyhook is a developer platform built on Kubernetes that streamlines the processes teams use to create, deploy, and scale cloud applications by minimizing the intricacies associated with DevOps and infrastructure oversight. It offers a completely configured environment that is ready for production, enabling developers to quickly launch services, set up environments, and manage infrastructure in mere seconds, while seamlessly incorporating top-tier tools from the Kubernetes ecosystem, such as ArgoCD, Kyverno, and Grafana. By integrating these tools into standardized “golden paths,” Skyhook facilitates the adoption of best practices from the outset, covering aspects like monitoring, rollout strategies, temporary environments, and secure secret management without the need for manual configuration. This platform not only provides a self-service experience for developers but also ensures that governance and oversight are preserved for DevOps teams, empowering organizations to automate their workflows, uphold standards, and minimize reliance on bespoke internal tools. Consequently, Skyhook promotes efficiency and agility in cloud application development, allowing teams to focus on innovation rather than operational overhead.

Dokku serves as an open-source alternative to Heroku, representing one of the most compact implementations of a Platform as a Service (PaaS) solution available. It empowers developers to create and oversee their application lifecycle—from initial construction to eventual scaling—while allowing them to utilize familiar tools and maintain control over their platform. Built on Docker, Dokku can be deployed on virtually any hardware or cost-effective cloud service and operates seamlessly on a single server of your preference. After installation, users are able to push applications that are compatible with Heroku via Git, utilizing Heroku buildpacks, Dockerfiles, or Docker images to construct and execute them within isolated containers. The platform is designed to support on-the-fly app building directly from a git push, automatically detecting the programming language using buildpacks when necessary and initiating containers from the generated images. In addition to this, Dokku manages web processes and background operations through technologies like Nginx and cron, ensuring that scheduled tasks run smoothly and efficiently. Ultimately, Dokku not only simplifies app deployment but also enhances the overall development experience by streamlining common processes.

Cloudgeni serves as an intelligent AIOps platform tailored for cloud infrastructure, adept at analyzing incidents, compliance, drift, and financial operations issues, subsequently rectifying them through validated Infrastructure-as-Code pull requests. It consolidates cloud states, Infrastructure-as-Code, and operational signals into a unified context layer, enabling agents to grasp dependencies, pinpoint root causes, implement changes aligned with the organization's standards, validate these changes prior to deployment, and confirm the resolution of issues post-implementation. The platform's agents are equipped to handle various tasks, including compliance remediation, managing configuration drift, resource imports, DevOps activities, pull request evaluations, Infrastructure-as-Code pipelines, cost management, Site Reliability Engineering workflows, AI infrastructure governance, and bespoke automation solutions. Additionally, Cloudgeni seamlessly integrates with a multitude of platforms and tools such as AWS, Azure, GCP, OCI, Kubernetes, OpenShift, Terraform, OpenTofu, Terragrunt, Bicep, Pulumi, Helm, GitHub, GitLab, Azure DevOps, security instruments, observability solutions, and internal knowledge repositories, fostering a comprehensive ecosystem for cloud management. This versatility ensures that organizations can maintain optimal performance and security across their cloud environments while streamlining their operational processes.

Encore serves as an automated infrastructure platform designed for both humans and AI agents, enabling developers to efficiently build, validate, and deploy applications without the delays associated with Terraform pull requests or platform tickets. By utilizing its open-source SDK, developers and agents can specify the necessary infrastructure for each feature directly within application code, while Encore autonomously provisions and verifies various resources such as databases, queues, buckets, and Pub/Sub, facilitating a seamless transition from development to production. Applications can be executed locally in an environment that closely resembles the cloud setup, enabling comprehensive testing of features and distributed systems with just a single command. When a new branch is pushed, Encore automatically generates a dedicated preview environment, allowing teams to assess workflows and external integrations independently of shared staging resources. Upon deployment, the required infrastructure is provisioned automatically within the organization’s own AWS or GCP account, VPC, and compliance parameters, streamlining the entire process. This innovative approach not only enhances efficiency but also ensures that developers can focus more on coding and less on infrastructure management.

Icinga is an internet monitoring system that checks the availability of your network resources and notifies users when there are outages. It also generates performance data for reporting. Icinga is flexible and extensible. It can monitor complex environments in multiple locations. Icinga 2 is the monitoring server and requires Icinga Web 2 on top in your Icinga Stack. You can manage the configuration with the Icinga Director or config management tools. Plain text is also available within the Icinga DSL. Find solutions, take action and become a problem-solver. Flexibility is key. Keep curious, stay passionate, and stay in the loop. Tackle your monitoring challenge. The Icinga stack consists of six core strengths that cover all aspects related to monitoring. You can get valuable insights, on-time notifications and eye-opening visuals as well as analytics. Icinga integrates easily into your systems and gives you the power of automating your tasks.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

OverOps immediately identifies at runtime the critical issues that break backend Java or.NET applications. This eliminates the need to search logs for duplicates. OverOps analyses code at runtime, unlike logs, static testing, or APM which require foresight. OverOps does not require code changes and integrates with your existing CI/CD tools. It continues to do so from pre-prod to production.

Activu makes all information visible, collaborative, proactive, and proactive to those who are responsible for monitoring critical operations or incidents. Our customers can instantly see, share, respond, and discuss events in real time, with context to improve incident response, decision making, and management. Software, systems, as well as services from Activu are a benefit to billions of people all over the globe. Activu was founded in 1983 by the first U.S.-based firm to develop video wall technology. Today, more than 1,000 control rooms rely on it.

ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.

Do you struggle with providing access to large data sets that are rapidly growing or enabling distributed content-based uses? Tape is cost-effective, but data is not always available and tape can be difficult to manage. Public cloud can present the challenge of unpredictable, compounding recurring costs and inability to meet privacy and performance requirements. DataCore Swarm is an on-premises object storage system that simplifies the process of managing, storing, and protecting data. It also allows S3/HTTP access for any application, device, and end-user. Swarm transforms your data archive to a flexible, immediately accessible content library that allows remote workflows, on demand access, and massive scaling.

Reduce your cloud expenses, enhance security, and boost developer efficiency. Why waste funds on cloud providers? Our solution allows you to monitor your expenditures and implement straightforward, machine learning-driven strategies to cut costs. Explore our assortment of over 60 applications available in the AWS Marketplace, designed for easy deployment at the most competitive prices. Safeguard your cloud infrastructure and efficiently manage EC2 instance updates across various regions through a unified interface. Our intuitive dashboard enables you to analyze and optimize your AWS spending thoroughly. It automatically identifies and eliminates unused AWS resources to help lower costs. Benefit from ongoing machine learning assessments to continually minimize cloud expenses. Instead of focusing on building complex application stacks, utilize our pre-configured, secure images available right off the shelf. This way, you can focus more on coding rather than getting caught up in operations. Additionally, our solution scans your AWS environment for security vulnerabilities, providing assistance in mitigating risks. With the capability to patch servers across multiple regions from one centralized dashboard, managing your cloud infrastructure has never been easier.

OpsLevel is the most flexible Internal Developer Portal, helping teams streamline service ownership, automate catalog maintenance, and drive engineering excellence. With AI-powered insights, automation, and self-service workflows, OpsLevel eliminates bottlenecks—so developers can focus on building, not bureaucracy. Unlike fragmented spreadsheets or homegrown solutions, OpsLevel brings clarity to complex architectures, ensuring teams can enforce best practices, reduce incidents, and accelerate deployments. From onboarding to security, OpsLevel makes software delivery faster, more reliable, and more scalable.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

Discover more about SkySilk's top-tier Enterprise Private Cloud, Managed Cloud, and Hybrid Cloud Solutions by clicking below. With just a single click, you can select from a wide range of Linux applications and pristine OS installations that can be deployed in mere seconds. Regardless of whether you're managing a small-scale cloud operation or are part of a large enterprise, SkySilk provides more than 40 resource plans to guarantee an ideal cloud VPS setup tailored to your needs. Explore the possibilities and find the perfect solution for your unique project requirements today.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

DoiT is a global technology company that delivers a comprehensive cloud operations platform designed to optimize performance, scalability, and cost efficiency. Powered by proactive, industry-leading expertise, DoiT Cloud Intelligence is the only context-aware multicloud platform that turns insights into action. With deep specializations in Kubernetes, GenAI, CloudOps, and FinOps, we partner with AWS, Google Cloud, and Microsoft Azure to help over 4,000 businesses worldwide enhance cloud performance, reliability, and security. Whether managing complex multicloud environments or driving innovation, DoiT provides the intelligence and human expertise needed to maximize your cloud investment.

PFLB specializes exclusively in performance testing. We help companies identify and resolve performance bottlenecks, such as slow database queries or API calls that are not performing well. We are the company of choice for clients who need performance testing across a wide range of technologies, such as web and mobile applications and core banking systems. We offer a wide range of solutions for JMeter, LoadRunner and other environments. PFLB is a load testing platform that allows companies to perform efficient and scalable performance test. PFLB is a global leader in performance testing with over 15 years' experience.

Rootly redefines incident management with a fully integrated, AI-powered platform designed to simplify and accelerate the entire reliability workflow. From intelligent on-call management to automated incident response and retrospectives, it eliminates repetitive tasks so engineers can focus on problem-solving. The platform’s AI SRE module performs real-time root cause analysis, suggests fixes, and predicts resolution steps based on millions of real-world incidents. Through seamless integrations with Slack, Microsoft Teams, Jira, and Zoom, Rootly embeds reliability directly into team workflows. Its automation engine streamlines communication, tracking, and reporting, cutting resolution times by up to 50%. Built for scalability, Rootly adapts to teams of any size—from startups to Fortune 500 enterprises—without sacrificing simplicity. Users can also publish automated status pages to keep customers informed and reduce inbound support. With award-winning support and reliability baked in, Rootly enables organizations to strengthen uptime, operational efficiency, and engineering wellness.

Uptrace is an observability platform built on OpenTelemetry that enables users to track, comprehend, and enhance intricate distributed systems effectively. With a single, streamlined dashboard, you can oversee your entire application stack efficiently. This setup provides a swift view of all services, hosts, and systems in one place. The distributed tracing feature allows you to follow the journey of a request as it flows through various services and components, highlighting the timing of each operation along with any logs and errors that arise in real-time. Through metrics, you can swiftly gauge, visualize, and monitor a variety of operations using tools such as percentiles, heatmaps, and histograms. By receiving alerts when your application experiences downtime or when a performance issue is detected, you can respond to incidents more promptly. Moreover, the platform allows you to monitor all aspects—spans, logs, errors, and metrics—using a unified query language, simplifying the observability process further. This comprehensive approach ensures that you have all the necessary insights to maintain optimal performance in your distributed systems.

With just a few clicks, Porter allows you to deploy your applications directly into your personal cloud account. You can quickly begin your journey with Porter and enjoy the freedom to tailor your infrastructure as you grow. In moments, Porter can create a fully operational Kubernetes cluster, complete with essential supporting infrastructure like VPCs, load balancers, and image registries. Simply connect your Git repository and let Porter take care of the details. It will build your application using either Dockerfiles or Buildpacks and set up CI/CD pipelines with GitHub Actions, which you can modify later as needed. You have the power to allocate resources, introduce environment variables, and adjust networking settings—your Kubernetes cluster is entirely customizable. Additionally, Porter continuously monitors your cluster to guarantee optimal scalability and performance. This comprehensive solution makes managing your cloud applications both efficient and straightforward.

MooseFS represents a revolutionary concept in the Big Data Storage industry. It allows us combine data storage with data processing into a single unit, using commodity hardware. This provides an extremely high ROI. We provide expert advice and professional services for storage solutions, as well as implementations and support for your operations. MooseFS was launched in 2008 as a spinoff from Gemius, a leading European company that measures internet in more than 20 countries. It has since become one of the world's most sought-after Data storage software. It is still used to store large amounts of data by Gemius' core operations. Over 300 000 events per second are gathered and analyzed every second, 24 hours a day, 7 days a weeks. Any solution we offer to our clients has been tested on a real-life Big Data Analytics work environment.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.