Best Application Development Software for Amazon CloudWatch

Better Stack is a unified observability tool that helps you ship better software, faster. Schedule on-call rotations, receive actionable alerts, and resolve incidents with ease. Better Stack brings together incident management, uptime monitoring, status pages, log management, and infrastructure monitoring – all in one place. Built for speed and scale, it combines multiple monitoring and alerting workflows into a single, powerful interface that boosts visibility and slashes response times. Key features include an OpenTelemetry-native Kubernetes collector powered by eBPF, real-time alerting, and collaborative dashboards. Under the hood, Better Stack runs on ClickHouse, enabling lightning-fast queries and scalable ingestion across high-cardinality datasets. You can visualize your entire stack, turn all your logs into structured data, and query everything with SQL – as if it were a single database. Seamlessly integrates into your workflow with 100+ integrations.

We’re reinventing API & MCP management for everybody, from startups to enterprises. Add authentication, analytics, rate-limiting, and developer documentation to your APIs and MCP servers in minutes. Protect your API by adding rate-limiting with Zuplo in minutes, and add over 50 available plugins like authentication to your API with a single click. Zuplo was built on the edge and deployed to +300 data centers in the world, which makes multi-cloud deployments first-class. With Zuplo you can run different workloads in different clouds while enforcing a unified set of security policies. Zuplo is the only API gateway that runs your OpenAPI spec directly. Leverage the OpenAPI ecosystem to build your API, and then deploy it to Zuplo without additional configuration. Zuplo automatically generates beautiful docs for your API. You can customize the docs with markdown and devs can self-serve API Keys directly from your docs. You can also directly generate hosted MCP servers from your OpenAPI.

There are billions of devices in homes, factories, oil wells, hospitals, cars, and thousands of other places. With the proliferation of devices, you increasingly need solutions to connect them, and collect, store, and analyze device data. AWS has broad and deep IoT services, from the edge to the cloud. AWS IoT is the only cloud vendor to bring together data management and rich analytics in easy-to-use services designed for noisy IoT data. AWS IoT offers services for all layers of security, including preventive security mechanisms, like encryption and access control to device data, and service to continuously monitor and audit configurations. AWS brings AI and IoT together to make devices more intelligent. You can create models in the cloud and deploy them to devices where they run 2x faster compared to other offerings. Optimize operations by easily creating digital twins of real-world systems. Run analytics on volumes of IoT data easily—without building an analytics platform.

AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.

SigNoz is an open source Datadog or New Relic alternative. A single tool for all your observability needs, APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder. You don’t need to manage multiple tools for traces, metrics, and logs. Get great out-of-the-box charts and a powerful query builder to dig deeper into your data. Using an open source standard frees you from vendor lock-in. Use auto-instrumentation libraries of OpenTelemetry to get started with little to no code change. OpenTelemetry is a one-stop solution for all your telemetry needs. A single standard for all telemetry signals means increased developer productivity and consistency across teams. Write queries on all telemetry signals. Run aggregates, and apply filters and formulas to get deeper insights from your data. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregations are lightning-fast.

Increase operational excellence by using a popular open source solution, managed by AWS. Audit and secure your data with a data center and network architecture with built-in certifications. Systematically detect potential threats and react to a system’s state through machine learning, alerting, and visualization. Optimize time and resources for strategic work. Securely unlock real-time search, monitoring, and analysis of business and operational data. Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch dashboards and Kibana.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. With a few clicks in the Amazon MQ Console, Amazon MQ provisions your broker with support for version upgrades, so you can always use the latest version that Amazon MQ supports. Once you configure your broker, your applications can produce and consume messages.

Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. Download: https://sourceforge.net/projects/logstash.mirror/

Klera is a software products and services company focused on creating solutions that deliver intelligence from data, unlike ever before. We enable transparent, collaborative, and connected enterprises, without data silos. Our rapid, no code, intelligent application development platform simplifies how you gather, analyze, and synchronize data.

Enterprises use Quickwork to build simple and complex workflows, create and publish secure APIs, and manage conversational interactions with customers, employees, and partners to provide a great user experience. Quickwork provides an all-in-one platform with the tools and services you need to build powerful & scalable integrations, serverless APIs, conversational experiences, and a lot more. Simply drag and drop the applications you wish to use to build powerful integrations without writing a single line of code. Choose from 1,000s of business, consumer, AI, analytics, messaging, and IoT apps to create an automated workflow you can imagine. Convert any workflow into an API with Quickwork’s single-click API management. Share your APIs securely with built-in authentication mechanisms and scale elastically with our serverless infrastructure. Build and manage real-time conversational and messaging workflows with human agents, chatbots, and IoT devices across multiple channels.

SaaSConstruct is a comprehensive template designed to expedite the development of SaaS applications on the AWS cloud. It provides a fully integrated codebase encompassing cloud infrastructure, frontend, and backend components, enabling rapid deployment of SaaS websites with features such as user authentication, payment processing, and custom AI chatbots. The infrastructure is built on AWS services, allowing for seamless extension with additional AWS offerings as needed. By offering these pre-configured elements, SaaSConstruct empowers developers to swiftly test and launch their ideas, focusing on core functionalities without the overhead of initial setup. Our template already contains code for most SaaS flows like payments, authentication, etc. Your AWS charges will most likely be close to zero while you build. AI models integration (AWS Bedrock). Save hundreds of hours, and get all you need for your SaaS today.

​Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.

AWS IoT Core lets you connect IoT devices to the AWS cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. AWS IoT Core also makes it easy to use AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure. AWS IoT Core allows you to connect any number of devices to the cloud and to other devices without requiring you to provision or manage servers.

Make your asset, operational and business data interoperable using one platform. We empower enterprises across all industry segments with capabilities to reduce complexity, remove barriers and accelerate time-to-value in their integrated solutions, uniquely bringing together Physical (IoT/IIoT/OT) and Application (IT) data. Securely manage OT, IoT, IIoT and business app data ingestion from across disparate and fragmented systems, protocols, networks and data formats. Enrich contextual data, manage metadata, perform transformation and utilsie data mapping to work with common data models and schemas. Integrate data to various endpoints for application and process logic, storage and data analysis, as well as physical and digital automation. Reekoh Accelerate™ is a hybrid integration platform that powerfully treats data from physical and digital assets as first class citizens. It provides a secure and agile toolset for device and data management, business workflow and automation.

Integrate your systems to enable a real-time data exchange between them. Automate workflows and reduce human error. Set up, modify and launch your integration in a few clicks with our predefined integration templates. Enhance cross-team collaboration by integrating different systems. Send and receive updates instantly. Transfer all comments, attachments, and related data to your systems in real-time. Integrating your systems will automate some of the most burdensome tasks and save you a lot of operational costs. Protect your data in case of a system downtime. ZigiOps doesn’t have a database and therefore does not store any of the transferred data. Our integration tool offers advanced data mapping and filtering, which enable users to relate entities of any level.

Enso is transforming application security by empowering organizations to build, manage and scale their AppSec programs. Its Application Security Posture Management (ASPM) platform easily deploys into an organization’s environment to create an actionable, unified inventory of all application assets, their owners, security posture and associated risk. With Enso Security, AppSec teams gain the capacity to manage the tools, people and processes involved in application security, enabling them to build a simplified, agile and scalable application security program without interfering with development. Enso has been recognized with numerous awards including the 2022 Excellence Awards, Globee Awards, and Forbes Top 20 Cybersecurity Startups to Watch.

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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