Best IT Management Software for AWS Lambda - Page 2

Xata integrates the features of a relational database, analytics engine, and free-text search engine into one cohesive platform. Its user-friendly, spreadsheet-like interface, paired with a robust data API, offers granular security, seamless zero-downtime migrations, subscription options, ACID compliance, and built-in caching. If you can deploy your application without server concerns, why should database services be any different? The straightforward global RESTful API facilitates data insertion, querying, aggregation, and search, making it an ideal partner for Serverless and No-Code/Low-Code development environments. Xata empowers users to gradually construct their database schema while incorporating sample data, all through an intuitive interface reminiscent of a spreadsheet. New tables, columns, and data can be easily added, alongside the ability to create queries and views. This iterative approach not only offers flexibility during development but also ensures that as the application scales, the enforced schema maintains data integrity and security. With Xata, developers can focus on building their applications without the complexity of traditional database management.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Combine the rapid performance of in-memory solutions with the reliability of disk storage to unlock a variety of applications that extend beyond mere caching. By utilizing global databases with multi-region replication, you can enhance your system’s resilience. Experience true Serverless Kafka where costs can dwindle to zero, as you only incur charges based on your usage with a per-request pricing model. This allows you to produce and consume Kafka topics from virtually anywhere through a user-friendly built-in REST API. Begin with a free tier, and only pay for what you utilize, ensuring that costly server instances are a thing of the past. With Upstash, you can scale as needed without ever exceeding your predetermined cap price, providing peace of mind. The Upstash REST API also facilitates seamless integration with Cloudflare Workers and Fastly Compute@Edge. Thanks to the global database functionality, you can enjoy low-latency access to your data from any location. The combination of fast data access, ease of use, and flexible pay-per-request pricing position Upstash as an ideal solution for Jamstack and Serverless applications. Unlike traditional server models where you are charged by the hour or at a fixed rate, the Serverless approach ensures you only pay for what you request, making it a cost-effective alternative. This paradigm shift allows developers to focus on innovation rather than infrastructure management.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Utilize a streamlined abstract syntax in YAML to define AWS Lambda functions and their respective triggers. With this approach, AWS Lambda functions, triggers, and code will be deployed seamlessly in the cloud with automatic integration. You can leverage a multitude of Serverless Framework Plugins to create diverse serverless applications on AWS and facilitate connections with various tools. Monitor the usage, performance, and errors of your serverless applications through immediate and insightful metrics. All your serverless applications and their associated resources can be accessed in one centralized location, independent of the AWS account or region. It is also straightforward to share secrets and outputs from your serverless applications while managing AWS account access effectively. The Serverless Framework allows for the rapid deployment of many common use cases, covering a wide range of applications from REST APIs built on Node.js, Python, Go, and Java, to GraphQL APIs, scheduled processes, Express.js projects, and front-end solutions. With this framework, developers can significantly enhance their productivity and streamline the development process.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Gain comprehensive insight into your cloud-native and distributed applications, encompassing everything from microservices to serverless setups, allowing for swift identification and resolution of underlying issues. Effortlessly integrate Application Performance Management (APM) to automatically detect anomalies, visualize service dependencies, and streamline the investigation of outliers and unusual behaviors. Enhance your application code with robust support for widely-used programming languages, OpenTelemetry, and distributed tracing methodologies. Recognize performance bottlenecks through automated, curated visual representations of all dependencies, which include cloud services, messaging systems, data storage, and third-party services along with their performance metrics. Investigate anomalies in detail, diving into transaction specifics and various metrics for a more profound analysis of your application’s performance. By employing these strategies, you can ensure that your services run optimally and deliver a superior user experience.

Amazon Verified Permissions provides a comprehensive solution for managing authorization, leveraging the reliable Cedar policy language to enhance application security. This service enables developers to expedite the development process by allowing them to separate authorization from the core business logic, thereby streamlining policy management. Furthermore, it ensures that authorization practices align with Zero Trust principles, enhancing overall security. Security and audit teams benefit from improved capabilities to scrutinize and track access within applications effectively. By adhering to the principle of least privilege, developers can ensure that application resources are well-protected and user access is appropriately managed. In essence, Amazon Verified Permissions serves as a fully managed service for permissions management and fine-grained authorization, facilitating the creation of secure applications. With Cedar, a powerful and expressive open-source policy language, both developers and administrators can easily establish and manage policy-driven access controls to meet their application needs. This makes it easier to maintain compliance and security across various applications, allowing teams to focus on innovation while ensuring robust protections are in place.

IronFunctions is a serverless platform that is open source and falls under the Functions-as-a-Service (FaaS) category, enabling developers to create functions in any programming language and deploy them across a variety of environments, whether they are public, private, or hybrid clouds. It is compatible with AWS Lambda function formats, making it easy to import and run existing Lambda functions without hassle. Tailored for both developers and operators, IronFunctions streamlines the coding process by facilitating the development of small, dedicated functions without the complexities of managing the supporting infrastructure. Operators gain from improved resource efficiency, as the functions utilize resources solely during their active execution, and scalability is achieved simply by adding more IronFunctions nodes as required. Built with Go, the platform employs container technologies to manage incoming workloads by launching new containers, processing the input data, and delivering responses. Additionally, its flexible architecture allows for easy integration with various services, enhancing its utility for diverse application needs.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

Amazon Simple Notification Service (SNS) is a comprehensive messaging platform designed for both system-to-system and app-to-person (A2P) communications. It facilitates interaction between systems through a publish/subscribe (pub/sub) model, allowing messages to flow seamlessly between independent microservice applications or directly to users via SMS, mobile push notifications, and email. The pub/sub capabilities for system-to-system interactions support topics that enable high-throughput, push-based, many-to-many messaging. By leveraging Amazon SNS topics, your publishing systems can efficiently distribute messages to a wide array of subscriber systems or customer endpoints, including Amazon SQS queues, AWS Lambda functions, and HTTP/S, thus allowing for concurrent processing. Additionally, the A2P messaging feature empowers you to send messages to users on a large scale, utilizing either a pub/sub model or direct-publish messages through a unified API. This flexibility enhances communication strategies for businesses aiming to engage their users effectively.

AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.

The AWS Personal Health Dashboard is a suite of technologies and tools designed to oversee, manage, and enhance your AWS ecosystem. This dashboard offers alerts and remediation advice whenever AWS encounters events that might influence your operations. In contrast to the Service Health Dashboard, which shows the overall status of AWS services, the Personal Health Dashboard provides a tailored perspective on the performance and availability of the AWS services that support your resources. It presents pertinent and timely data to assist you in handling ongoing events and offers proactive notifications to facilitate planning for upcoming activities. With this dashboard, alerts are generated based on modifications in the health of AWS resources, granting you visibility into events and guidance to swiftly identify and resolve problems. Additionally, the AWS Personal Health Dashboard allows for granular access control, enabling you to establish permissions that are based on specific event metadata, which can help enhance security and operational efficiency. By utilizing this tool, you can ensure a more robust management approach for your AWS environment.

Powerful features to monitor, debugging, and optimize performance. Lumigo automates distributed tracing and visualizes every transaction. This allows you to see the flow of transactions and identify correlate issues between services. You can easily see the input/output for each service, including third-party services. View the stack trace line by line to see parameters and values. You can see the payload for http and API calls. All this without any code changes Lumigo's Correlation Engine allows you to see only the relevant logs, debugging information and details related to transactions. All transaction metrics, logs, and trace information can be viewed in one place. Start with a lead, and zoom in on the information you are looking for. You can search the data, and not just logs. Integration to your AWS account in one click. Fully-automated distributed traceing with no code changes. Lumigo uses AWS Lambda Layers to facilitate seamless integration.

BMC Helix Cloud Cost helps you manage and optimize your expenses in cloud computing while maintaining control over your financial resources. This platform specifically targets multi-cloud environments to reduce unnecessary expenditures and avert budget overruns. By providing visibility into the expenditures associated with both public and private cloud services, it assists in making informed financial decisions. To avoid going over budget, it incorporates predictive analytics coupled with automated notifications. The tool also offers automated recommendations and actions to help eliminate wasted spending. Budget owners and relevant stakeholders benefit from self-service access to their data, which is crucial given the increasing number of cloud purchasers. Understanding what cloud services have been acquired and their usage patterns is vital. Failing to conduct regular analysis and ongoing optimization of cloud resource consumption will almost certainly lead to financial inefficiencies. It’s important to eliminate idle and unnecessary resources, reconfigure over-provisioned assets, and set power schedules for workloads that are candidates for such adjustments. Utilizing reserved instances effectively and automating optimization processes further enhances financial management in cloud environments. Continuous vigilance and proactive measures are essential in today’s dynamic cloud landscape.

BMC AMI Ops Automation for Capping streamlines the process of workload capping to minimize risks and enhance cost efficiency. This solution, previously known as Intelligent Capping for zEnterprise, leverages automated intelligence to oversee MSU capacity settings critical to business operations, thus reducing the likelihood of operational risks and fulfilling the demands of the digital landscape. By automatically regulating capping limits, it prioritizes workloads effectively while also optimizing mainframe software license expenses, which can account for a significant portion of the IT budget, often ranging from 30% to 50%. The system is capable of dynamically adjusting defined capacity MSU settings, potentially leading to a reduction in monthly software costs by 10% or more. Additionally, it helps mitigate business risks through analysis and simulation, allowing for automatic adjustments to defined capacity settings in response to workload profiles. By aligning capacity with business needs, it ensures that MSUs are reserved for the most critical workloads. Utilizing patented technology, the platform makes necessary capping adjustments while safeguarding essential business services, thus providing peace of mind for IT operations. Overall, BMC AMI Ops Automation for Capping is an invaluable tool for organizations seeking to enhance their operational efficiency and cost management strategies.

Stop wasting time attempting to find API keys scattered around, or hacking together configuration tools that you don't know how to use, and stop avoiding access control. Doppler gives your team a single source for truth. The best developers automate all the work. Doppler will make it easy to find frequently-used secrets. You only need to update them once if they change. Your team's single source for truth. Your variables can be organized across projects and environments. You can no longer share secrets via email, Slack, email and git. Your team and their apps will instantly have the secret once you add it. The Doppler CLI, just like git, intelligently determines which secrets to fetch based upon the project directory you're in. No more trying to keep ENV files synchronized! Use granular access controls to ensure that you have the least privilege. Reduce exposure by using read-only tokens for service deployment. Access to only development for contractor? It's easy!

An open-source framework designed to assist in the architecture, development, and deployment of solutions utilizing serverless infrastructure is available. This self-hosted serverless content management system features a headless GraphQL API, efficient asset management, and a no-code builder tailored for creating static pages and forms. It offers scalability and cost-effectiveness, ensuring that your projects can grow as needed. With its integrated prerendering services, your web pages become easily indexable by search engines, enhancing visibility. Additionally, it allows for the management of digital assets, including the ability to resize and serve images in various resolutions. Flexibility is a key aspect, enabling you to modify and expand any component of the system through custom plugins and tailored business logic. Furthermore, numerous built-in performance enhancements ensure that your websites remain fast and capable of handling increased traffic efficiently. This combination of features empowers users to create robust and high-performing web solutions.

Cloud Custodian empowers users to oversee their cloud assets through a system of filtering, tagging, and executing various actions. Utilizing a YAML domain-specific language, it allows for the creation of rules that help maintain a cloud infrastructure which is not only secure but also optimized for cost efficiency. By streamlining the process, it replaces complex cloud-specific scripts with more straightforward syntax, ensuring that policies are effectively applied across your infrastructure. The tool is compatible with major public cloud platforms such as AWS, Azure, and GCP, with additional support for Kubernetes, Tencent Cloud, and OpenStack currently in beta. It actively enforces security measures by seamlessly integrating with the control plane of cloud providers, enabling real-time remediation of issues. In addition, it features comprehensive metrics and reporting capabilities. Users can schedule resources to be turned off during non-peak hours to minimize expenses, while also identifying and removing unused assets by analyzing utilization metrics. Tagging capabilities allow for easy management of underused resources. Furthermore, Cloud Custodian can be executed in various environments, whether locally, on an instance, or in a serverless format through AWS Lambda, providing flexibility in deployment options. This versatility makes it a vital tool for efficient cloud resource management.

Leverage the expressive capabilities of well-known programming languages to outline your application resources and speed up the development process. Streamline your onboarding experience with AWS by utilizing constructs that automatically configure cloud resources with established defaults. Create and disseminate reusable components that align with your organization's security, compliance, and governance standards. You can construct applications, compose runtime code, and define resources all within your integrated development environment (IDE). By employing familiar programming languages, you can specify your cloud application resources effectively. The AWS Cloud Development Kit (AWS CDK) enhances cloud development by enabling the modeling of your applications using common programming languages. Using AWS CDK as your primary framework allows for more efficient application development and the definition of cloud infrastructure as code, facilitating smoother migration of intricate backend infrastructure while seamlessly integrating with continuous integration and delivery (CI/CD) pipelines. This approach not only boosts productivity but also ensures a more organized and manageable development cycle.

Archera offers innovative short-term savings plans and reservation instruments that allow numerous organizations to acquire cloud services with unmatched flexibility. By utilizing our complimentary cloud management platform, you can minimize expenses and operate with agility, free from any long-term contracts or fees tied to your usage or savings. Our distinctive insured commitments grant you the autonomy to manage cloud savings effectively, allowing you to access discounts associated with one- or three-year commitments to AWS and Azure, while also mitigating the risks with terms as brief as 30 days. Leverage these adaptable tools to implement new purchasing strategies and achieve discounts on usage that were previously unattainable. The free platform from Archera streamlines the processes of cloud procurement and management, offering enhanced flexibility while simplifying costs and reducing complexity across all AWS and Azure reservable services, all without affecting your existing cloud infrastructure. By doing so, you can maximize your discounts, access pricing incentives, and develop financially sound long-term growth strategies that align with your organizational goals. Embrace Archera’s solutions to transform your cloud purchasing experience and optimize your financial outcomes.

Gravity Cloud is an Internal Developer Platform which enables engineering teams run and manage cloud on a large scale. The IDP is a feature-rich IDP that provides complete control and visibility over Kubernetes and Databases. It also supports RBAC, CI/CD, CI/CD, and many other features. Gravity provides complete visibility of costs for any cloud-based action. IDP is a key part of the lifecycle of an engineering team. It increases productivity and reduces the total cost of ownership for non-core development work. Gravity's IDP is designed to maximize your software lifecycles.

Cron To Go streamlines the oversight, notification, and management of the performance, uptime, and status of your cron jobs, facilitating uninterrupted functionality. The user-friendly dashboard of Cron To Go enables your team to efficiently track and troubleshoot issues within your background tasks, no matter where they are executed, while also ensuring that you are alerted to any job failures. You can monitor and receive updates on the statuses of your jobs, irrespective of their execution sites. As a robust, scalable, and reliable cloud scheduling solution, Cron To Go eliminates the risk of a single point of failure associated with cron. Thanks to its commitment to at-least-once delivery, your jobs will run consistently even amid failures, as schedules are automatically retriggered to guarantee reliable execution. You have the option to establish schedules with precision down to 60 seconds across various time zones, utilizing either the familiar Unix cron format or straightforward rate expressions. This adaptability allows for multiple executions of your jobs throughout the day on selected days, maximizing efficiency and flexibility. In this way, Cron To Go not only enhances job management but also significantly reduces the likelihood of operational disruptions.

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.

AWS CodeDeploy is a comprehensive deployment service that streamlines the process of deploying software across various compute resources, including Amazon EC2, AWS Fargate, AWS Lambda, and your own on-premises servers. By facilitating rapid feature releases, AWS CodeDeploy helps maintain application uptime during deployments and simplifies the often complex task of updating applications. This service allows for the automation of software deployments, which reduces the risk associated with manual procedures. Additionally, it scales effortlessly to meet your deployment requirements. Being platform and language agnostic, AWS CodeDeploy ensures a consistent experience across different environments, whether you are deploying to Amazon EC2, AWS Fargate, or AWS Lambda, and you can conveniently repurpose your existing setup code as needed. Furthermore, CodeDeploy can seamlessly integrate with your current software release workflows or continuous delivery pipelines, such as AWS CodePipeline, GitHub, or Jenkins, thereby enhancing your overall deployment strategy and efficiency. In this way, AWS CodeDeploy not only simplifies the deployment process but also enhances the reliability and speed of software updates.