Business Software for AWS Lambda - Page 5
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Top Software that integrates with AWS Lambda as of November 2025 - Page 5
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1
MetricFire
MetricFire
Built by engineers for engineers, our Prometheus monitoring tool is easy to configure, get set up, and begin sending metrics. We take care of scaling your Prometheus, so you don't need to worry about it. We keep your data long-term, with 3x redundancy, so you can focus on applying the data rather than maintaining a database. Get updates and plugins without lifting a finger, as we keep your Prometheus and Grafana stack updated for you. Everything you need to take control of your Prometheus metrics. Vendor lock-in's not our thing. We’re believers in you still owning your data, so you can request a full export at any time. That means you get all the benefits of an open-source tool, but with the security and stability of a SaaS tool. We keep all your data with 3 times the redundancy and keep your data in a safe place for up to 1 year. Scale without fear, we handle all the hassle for you. Prometheus experts are available 24 hours a day. -
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PipeCD
PipeCD
A unified continuous delivery solution for multiple application kinds on multi-cloud that empowers engineers to deploy faster with more confidence. A GitOps tool that enables doing deployment operations by pull request on Git. Deployment pipeline UI shows clarify what is happening. Separate logs viewer for each individual deployment. Real-time visualization of application state. Deployment notifications to slack, and webhook endpoints. Insights show the delivery performance. Automated deployment analysis based on metrics, logs, and emitted requests. Automatically roll back to the previous state as soon as analysis or a pipeline stage fails. Automatically detect configuration drift to notify and render the changes. Automatically trigger a new deployment when a defined event has occurred (e.g. container image pushed, helm chart published, etc). Support single sign-on and role-based access control. Credentials are not exposed outside the cluster and not saved in the control plane. -
3
Amazon SageMaker Debugger
Amazon
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values. -
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Neum AI
Neum AI
No one wants their AI to respond with out-of-date information to a customer. Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud. -
5
Ikigai
Ikigai
Model improvement and incremental model updates scenario analysis through simulations using historical data. Collaborate easily with data governance, access management, and version control. Ikigai’s out-of-the-box integrations make it easy to work with all kinds of tools that are already part of your workflows. Plug into almost any data source you can think of with Ikigai’s 200+ connectors. Want to push your ML pipeline to a website or dashboard? Just integrate directly using Ikigai’s web integrations. Use triggers to run data synchronizations and retrieve updates each time you run a data automation flow. Hook into your own APIs, or create APIs for your own data stack to integrate seamlessly with Ikigai. -
6
Securaa
Securaa
Securaa is a Comprehensive No code security automation platform with 200+ integrations, 1000+ Automated tasks and 100+ playbooks. With Securaa, businesses can effectively manage their security applications, resources, and operations without the need for scripting or complex operations. Securaa enables clients to cost effectively leverage its Risk Scoring, Inbuilt Threat Intelligence, Asset Explorer, Playbooks, Case Management and Dashboards to automate L1 tasks as the primary technology to automate day to day investigation, triage, enrich and response activities reducing time per Alert by over 95%. Increase productivity per security analyst by over 300%. -
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GPURich
GPURich
We deploy AI Agents that scan the world's GPU providers and notify you once found. We'll email you once the GPU is ready, you can direct SSH access the machine and it is yours until you release it.Starting Price: $250 per month -
8
StackGen
StackGen
Generate context-aware, secure IaC from application code without code changes. We love infrastructure as code, but that doesn’t mean there isn’t room for improvement. StackGen uses an application’s code to generate consistent, secure, and compliant IaC. Remove bottlenecks, liabilities, and error-prone manual processes between DevOps, developers, and security to get your application to market faster. Allow developers a better, more productive experience without becoming infrastructure experts. Consistency, security, and policy guardrails are incorporated by default when IaC is auto-generated. Context-aware IaC is auto-generated, with no code changes required, supported, and rightsized with least-privileged access controls. No need to rebuild your pipelines. StackGen works alongside your existing workflows to remove silos between teams. Enable developers to auto-generate IaC that complies with your provisioning checklist. -
9
Salesforce Data Cloud
Salesforce
Salesforce Data Cloud is a real-time data platform designed to unify and manage customer data from multiple sources across an organization, enabling a single, comprehensive view of each customer. It allows businesses to collect, harmonize, and analyze data in real time, creating a 360-degree customer profile that can be leveraged across Salesforce’s various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. This platform enables faster, more personalized customer interactions by integrating data from online and offline channels, including CRM data, transactional data, and third-party data sources. Salesforce Data Cloud also offers advanced AI gents and analytics capabilities, helping organizations gain deeper insights into customer behavior and predict future needs. By centralizing and refining data for actionable use, Salesforce Data Cloud supports enhanced customer experiences, targeted marketing, and efficient, data-driven decision-making across departments. -
10
Pendula
Pendula
Customer attention is scarce, and marketing and CX leaders are facing increasing pressure to continue driving growth with less time and tighter resources. With the limitless potential of generative AI, Pendula empowers teams to deliver adaptive and meaningful two-way customer experiences to inspire, engage, and retain customers at scale. Pendula aims to be at the heart of every conversation between businesses and their customers, all over the world. Intuitive drag-and-drop functionality that will empower teams to do their best work. Create two-way conversations and act on them intelligently with real-time data. Harness the power of AI to activate your entire data stack. The heart of next-gen customer engagement and retention. With Pendula's workflow studio, the only limits are the boundaries of your creative thinking. Select a data source to identify the moments that actually matter to your customers. -
11
AWS ParallelCluster
Amazon
AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner. -
12
Amazon Elastic File System (Amazon EFS) automatically grows and shrinks as you add and remove files with no need for management or provisioning. Share code and other files in a secure, organized way to increase DevOps agility and respond faster to customer feedback. Persist and share data from your AWS containers and serverless applications with zero management required. Easier to use and scale, Amazon EFS offers the performance and consistency needed for machine learning and big data analytics workloads. Simplify persistent storage for modern content management system workloads. Get your products and services to market faster, more reliably, and securely at a lower cost. Create and configure shared file systems simply and quickly for AWS compute services, with no provisioning, deploying, patching, or maintenance required. Scale workloads on-demand to petabytes of storage and gigabytes per second of throughput out of the box.
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13
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
14
Onum
Onum
Onum is a real-time data intelligence platform that empowers security and IT teams to derive actionable insights from data in-stream, facilitating rapid decision-making and operational efficiency. By processing data at the source, Onum enables decisions in milliseconds, not minutes, simplifying complex workflows and reducing costs. It offers data reduction capabilities, intelligently filtering and reducing data at the source to ensure only valuable information reaches analytics platforms, thereby minimizing storage requirements and associated costs. It also provides data enrichment features, transforming raw data into actionable intelligence by adding context and correlations in real time. Onum simplifies data pipeline management through efficient data routing, ensuring the right data is delivered to the appropriate destinations instantly, supporting various sources and destinations. -
15
Netguru Omega
Netguru
Omega is an internally developed AI agent integrated directly into Slack to supercharge sales workflows by handling routine tasks, surfacing insights, and nudging team members toward best practices, all with minimal friction. It seamlessly connects with core tools like Slack, Google Drive, Apollo, Salesforce, and transcript systems to automate time-consuming chores, generating call agendas, summarizing expert calls, locating relevant documents, and tracking deal progression. Omega operates as a modular, multi-agent system, utilizing specialized roles orchestrated via frameworks like AutoGen to plan, execute, and validate actions within the workflow. This architecture runs on a cloud-native, serverless stack using AWS Lambda and Step Functions, enabling flexibility and scale. Observability and iteration are supported through tools like Langfuse, Promptfoo, CI/CD pipelines, and Terraform. -
16
EagleEye
Cloudnosys
EagleEye is a real-time cloud threat-detection and monitoring solution that continuously oversees an organization’s cloud infrastructure, identifies suspicious events, and triggers automated response workflows. It uses serverless technologies (for example, within AWS Lambda, Amazon EventBridge, and Amazon SQS) to capture and process cloud-trail logs from services such as S3 or IAM, detect policy deviations or unauthorized changes, and then alert teams or invoke corrective actions. The platform works together with Cloudnosys’s broader cloud-security and compliance capabilities to provide visibility, governance, and remedial automation across cloud accounts. EagleEye supports continuous monitoring of cloud resource configurations, identity & access events, network and storage changes, and generates alerts that can be integrated with upstream tools such as Slack, email, or SOAR workflows for rapid incident response. -
17
StackState
StackState
StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo -
18
HUMAN Bot Defender
HUMAN
HUMAN Bot Defender is a behavior-based bot management solution that protects your websites, mobile applications and APIs from automated attacks, safeguarding your online revenue, reducing the risk of data breaches and improving operational efficiency. Automated bots can generate over 50% of the traffic to your website. Malicious bots can take over your users’ accounts, abuse your payment pages, hoard inventory or scrape your pricing and content. In addition to being a security threat, bots can also erode your competitive edge and skew your web analytics, leading to revenue loss and increased customer service costs. HUMAN Bot Defender combines intelligent fingerprinting, behavioral signals and predictive analysis to detect bots on your web and mobile applications and API endpoints. With industry-leading accuracy, HUMAN Bot Defender minimizes user friction and ensures a safe customer journey. -
19
Cutover
Cutover
The Cutover platform enables enterprises to simplify complexity, streamline work, and increase visibility. Cutover’s AI-powered automated runbooks connect teams, technology, and systems, increasing efficiency and reducing risk in IT disaster and cyber recovery, cloud migration, release management, and technology implementation. As a centralized system of execution, Cutover differentiates itself with scalable and proven dynamic, automated runbook technology that transforms enterprise IT operations with a new way of working. Cutover enables the creation of a template library of comprehensive, executable, and auditable runbooks covering the entire IT infrastructure. Cutover is trusted by world-leading institutions, including the three largest US banks and three of the world’s five largest investment banks. -
20
CostVisualizer
NTT DOCOMO
CostVisualizer is AWS's "specialized cost analysis tool" that makes it easy to visualize and analyze information about cloud costs and usage status. We visualize the operating cost structure and provide a wide range of services from RI introduction to security improvement and accounting support. Reserved Instances can save up to 75% compared to on-demand hourly rates by reserving computer capacity. CostVisualizer helps you reduce AWS costs by visualizing RI recommendations for individual accounts, the usage status of purchased RIs, and cost reduction effects. By monitoring costs in real time, you can visualize the difficult-to-understand cost structure of AWS. In addition, we respond to detailed concerns of each company, and also support detailed accounting management such as RI cost reallocation and consumption tax allocation for each project. -
21
Dash ComplyOps
Dash
Dash ComplyOps provides security teams with a solution for building security programs in the cloud and meeting regulatory and compliance standards including HIPAA and SOC 2 Type 2. Dash enables teams to develop and maintain compliance controls across their IT infrastructure and cloud environments. Dash streamlines security and compliance operations, so your organization can easily manage HIPAA compliance. Security teams can save hundreds of man-hours a month by using Dash. Dash makes it easy to create administrative policies mapped to relevant regulatory standards and security best practices. Dash empowers teams to set and enforce high security and compliance standards. Our automated compliance process enables your team to set administrative and technical controls across your cloud environment. Dash continuously scans and monitors your cloud environment and connected security services for compliance issues, allowing your team to identify and resolve issues quickly. -
22
Claudia
Claudia
Claudia makes it easy to deploy Node.js projects to AWS Lambda and API Gateway. It automates all the error-prone deployment and configuration tasks and sets everything up the way JavaScript developers expect out of the box. This means that you can get started with Lambda microservices easily, and focus on solving important business problems instead of dealing with AWS deployment workflows. AWS Lambda and API Gateway are incredibly flexible, but they can be tedious to set up, especially for simple scenarios. Running Node.js functions requires you to iron out quite a few quirks, that aren't exactly well documented. Claudia automates all those steps for you. Deploy and update using a single command. Just use standard NPM packages, no need to learn Swagger. Skip all the boilerplate and just focus on your work. Manage multiple versions easily. Get started in minutes, with a very low learning curve. -
23
Stackreaction
Stackreaction
Building marketplace, online school or membership site? Find tools, integrations, workflows and guides to jumpstart your idea. Browse apps and tools, find alternatives, compare by feature, and leave feedback. Automating routine processes? Find all integrations from Zapier, Integromat, Automateio and other automation platforms in one place. Compare features and price. Explore guides and tutorials from community and vendors. Contribute with your know-how. Leverage the openness of the nocode community. Сreate your profile, pick up your favorite tools, share your stack. -
24
Clique
Clique
Clique is a pioneering infrastructure company that enhances on-chain applications by integrating Trusted Execution Environments (TEEs) for secure, verifiable, and efficient off-chain computations. Their TEE network functions as an off-chain AWS Lambda system, enabling confidential and verifiable function calls for smart contracts. Developers can utilize Clique's SDKs to create custom executors, interact with smart contracts, and verify attested signatures on-chain. The platform supports multiple TEE models, including Intel SGX, TDX, AMD SEV-SNP, and AWS Nitro, ensuring robust security and flexibility. Clique's solutions cater to applications requiring low-latency operations, privacy preservation, and external data support, such as off-chain order books, data sharing, and TLS oracles. To date, Clique has facilitated over $3.5 billion in on-chain transactions and served more than 750,000 end users. -
25
Umbrelly Cloud
Umbrelly.cloud
Umbrelly Cloud is an AWS optimization platform designed to significantly reduce cloud expenditures. By leveraging shared AWS plans, Umbrelly unlocks savings of up to 25% on services like EC2, EBS, ECS, SageMaker, ElastiCache, Redshift, OpenSearch, RDS, and Lambda. Customers typically realize average cost reductions of 19.3% without compromising service levels or performance. Umbrelly’s automated optimization process ensures full compliance with AWS Terms of Service. Experience tangible cost savings, improved resource utilization, and enhanced financial predictability with Umbrelly Cloud. -
26
Data Taps
Data Taps
Build your data pipelines like Lego blocks with Data Taps. Add new metrics layers, zoom in, and investigate with real-time streaming SQL. Build with others, share and consume data, globally. Refine and update without hassle. Use multiple models/schemas during schema evolution. Built to scale with AWS Lambda and S3. -
27
Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. -
28
Amazon CodeWhisperer
Amazon
Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.
