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Apr 2, 2020   |  By Ozge Lule
One of the biggest pain points of shifting to serverless architectures is debugging. Since developers lost access to the underlying infrastructure, the only resources they now have to debug serverless applications are the logs printed as a result of an invocation. However, it takes a lot of time to write a new logline, deploy the function, and check the logs once again. Step-through debugging, setting breakpoints, and inspecting variables can increase developer efficiency.
Mar 31, 2020   |  By Sarjeel Yusuf
To quote the English writer Aldous Huxley, “Speed provides the one genuinely modern pleasure”, and how true could he be. Even in the realm of software, we talk about ‘velocity’. The fastest way of sending code from ideation to production, that is the dream. A dream that is slowly becoming a reality with the rise of DevOps and its ancillary practices such as the novel concept of GitOps.
Mar 26, 2020   |  By Emrah Samdan
The world is fighting with COVID-19 relentlessly and these days showed me that pandemics will continue causing problems even after we beat this one. The lesson learned from those bad days is that software plays and will play a crucial role in combating the next insane problem that human beings will face. Serverless paradigm is our hope to deliver modern, fast, reliable and robust applications for many reasons such as ultimate scalability, easiness to build something from scratch.
Mar 24, 2020   |  By Emrah Samdan
Thanks to the continuous innovation in delivering event-driven distributed architectures, application-level services that used to be one monolith application are now composed of many serverless applications on AWS Lambda and/or AWS Fargate. Checking up on the health of a single application can only give limited visibility, and doesn’t bring understanding about the health and behavior of a distributed application. Developers/DevOps should have a more holistic way of understanding system behavior.
Mar 19, 2020   |  By Serkan zal
EventBridge is a serverless event bus launched to connect applications together using data from SaaS applications and AWS services. EventBridge enables SaaS applications, such as MongoDB, Thundra, and Zendesk, to send real-time data to AWS services like Lambda, ECS, and so on. EventBridge lets you build an event-driven flow very easily by taking care of event ingestion, delivery, error-handling, and security.
Apr 25, 2019   |  By Thundra
Discover different ways of achieving observability in stateless, distributed, and event-driven architectures.
Jan 9, 2019   |  By Thundra
Built for straightforward debugging, monitoring, and observability, Thundra provides deep insight into your entire serverless environment.
Mar 24, 2020   |  By Thundra
Since its inception, the most pronounced problem for serverless has always been debugging it natively. Abstracting away the cloud platform freed up the time to manage the runtime environment but it also took away the opportunity to debug the application from their IDE. There are various attempts to address this need in the industry. The most recent update by Thundra makes it possible to debug AWS Lambda functions on popular IDEs while Lambdas are running in their native environment.
Mar 9, 2020   |  By Thundra
Thundra provides the best in market observability that lets application teams understand the application behavior and manage the application health. Unmatched visibility towards the asynchronous events down to the line level execution of code is a few clicks away with Thundra.
Nov 29, 2019   |  By Thundra
This video shows how can you trace your AWS Lambda function in a real Lambda environment using your IDE with Thundra's agent. In this way, you will be able to debug your serverless functions like you can do before with normal apps.
Nov 20, 2019   |  By Thundra
In this webinar, Farrah Campbell, Jeremy Daly, Chase Douglas, Serhat Can, and Emrah ?amdan are chatting all exciting serverless sessions and parties, and some hot tips about re:Invent.
Oct 14, 2019   |  By Thundra
Thundra offers full observability for AWS Lambda environments with aggregated logs, metrics, and distributed and local traces. It helps you discover bottlenecks in your serverless environment and take rapid actions when unexpected situations occur. You can minimize your cold starts, understand the root cause of the errors in your AWS Lambda functions or any other resources and see where exactly things went wrong.