Best DevOps Software for Grafana

Squadcast is a tool for incident management that was specifically designed for SRE. Squadcast Actions can help you create a culture of blamelessness by reducing the need to have physical war rooms.

AlertOps is an industry-leading Incident Response Automation and Alert Management Platform. A SaaS-based software solution, collaboration and automation hub that enables an organization to dramatically improve the issue notification, escalation, and time to resolution process. As incidents occur that impact business-critical processes and revenue streams, the platform alerts the right people at the right time and with the right data to enable rapid incident resolution. As organizations evaluate solutions to improve and transform critical incident response -- to support ever-increasing customer and business requirements -- the AlertOps platform is uniquely suited with category-leading features to enable better and seamless customer experiences while helping drive improved operational efficiency and boosting business results. Discover why, many of the world’s largest companies leverage AlertOps to respond more rapidly, outmaneuver their competitors and win when moments matter.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Select the tools that best suit your needs, and we will handle everything else. Create an ideal CI/CD stack tailored to your organization's objectives without the worry of vendor lock-in. By eliminating the need for manual scripts and complex toolchain automation, your engineers can concentrate on your main business activities. Our pipeline workflows utilize a declarative approach, allowing you to prioritize essential tasks over the methods used to achieve them, covering aspects such as software builds, security assessments, unit testing, and deployment processes. With the help of Blueprints, you can troubleshoot any issues directly within Opsera, thanks to a detailed console output for each step of your pipeline's execution. Gain a holistic view of your CI/CD journey with extensive software delivery analytics, tracking metrics like Lead Time, Change Failure Rate, Deployment Frequency, and Time to Restore. Additionally, benefit from contextualized logs that facilitate quicker resolutions while enhancing auditing and compliance measures, ensuring that your operations remain efficient and transparent. This streamlined approach not only promotes better productivity but also empowers teams to innovate more freely.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

Zenduty offers a comprehensive platform for incident alerting, on-call management, and response orchestration that integrates reliability into your production operations seamlessly. It provides a unified view of the health status across all production activities, allowing teams to respond to incidents with a 90% faster turnaround and resolve issues in 60% less time. With the ability to implement customized, data-driven on-call schedules, you can maintain round-the-clock coverage for significant incidents. The platform facilitates the application of industry-leading incident response protocols, enabling quicker resolution through effective task delegation and collaborative triaging efforts. Furthermore, it automatically integrates your playbooks into each incident, ensuring a structured approach to each situation. You can also log incident-related tasks and action items to enhance the quality of postmortems and prepare for future occurrences effectively. By suppressing unnecessary alerts, your engineering and support teams can concentrate on the notifications that truly matter. Additionally, Zenduty boasts over 100 integrations with various tools such as application performance management (APM), log monitoring, error tracking, server monitoring, IT service management (ITSM), support systems, and security services, thereby enhancing the overall operational efficiency. This extensive connectivity ensures that teams can utilize their existing tools while streamlining their incident management processes.

StarOps is a cutting-edge AI-driven workflow engine that takes the complexity out of deploying and managing cloud infrastructure by eliminating the need for manual Terraform scripting or Kubernetes management. It provides a seamless way to launch GenAI models, provision blob storage, configure virtual private clouds (VPCs), and establish observability, all automated by an intelligent system of microagents operating behind the scenes. This platform is specifically built for AI and data-heavy applications, helping teams handle the growing demands of modern cloud environments effortlessly. Application developers can rely on StarOps to provide infrastructure that “just works,” without the usual operational overhead. Machine learning engineers and data scientists can focus on delivering models without being slowed down by DevOps challenges. Platform engineers can grow their teams’ capabilities while minimizing the increase in operational complexity. StarOps bridges the gap between development and operations by automating infrastructure workflows intelligently. Its ability to simplify and scale cloud operations makes it essential for organizations adopting AI-driven technologies.

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.

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

Kubiya is an innovative internal developer platform powered by AI that utilizes conversational technology to optimize DevOps workflows. By seamlessly connecting with existing tools and platforms, it enables developers to engage with their systems through natural language, significantly decreasing the time required for automation and boosting overall productivity. This platform features AI-driven assistants that can efficiently manage routine functions such as overseeing Jira queues, provisioning infrastructure, and applying just-in-time cloud permissions, thereby empowering engineering teams to concentrate on more strategic tasks. With its agentic-native architecture, Kubiya guarantees reliable and secure operations, adhering to rigorous enterprise security standards and compliance with corporate policies. Additionally, the platform integrates effortlessly into communication tools, including Slack and Microsoft Teams, offering a user-friendly conversational interface for task delegation and automation. As a result, Kubiya not only enhances efficiency but also fosters a more collaborative environment for development teams.

Ciroos is a platform designed to enhance Site Reliability Engineering (SRE) teams through AI integration, revolutionizing the approach to incident management by employing multi-agent AI to minimize repetitive tasks, identify anomalies promptly, and speed up both investigations and resolutions in intricate, multi-domain scenarios. This innovative AI SRE Teammate seamlessly connects with various telemetry and observability tools, ticketing systems, collaboration platforms, and cloud service providers, functioning effectively in both automated and manually initiated modes to diligently investigate alerts, link data from diverse sources, pinpoint root causes, and offer practical recommendations often prior to escalation. The AI agents within Ciroos create dynamic investigation strategies, evaluate evidence at a scale akin to human experts, and produce reports post-incident for ongoing enhancement. Additionally, the platform’s ability to correlate across different domains allows it to detect problems that affect a range of areas, including infrastructure, networking, applications, and security, thus providing a comprehensive solution for modern operational challenges. By bridging gaps in these domains, Ciroos not only streamlines workflows but also empowers teams to focus on strategic initiatives.