How to Optimize the Cost of Your Cloud Services

In this blog post, we review some of the biggest risks behind rising cost of services and how to optimize the cost of cloud services with proper application monitoring solutions.

As modern software deployment continues to be broken down into smaller and more modular units, the world is seeing more dynamic parts in the deployment equation. driver behind digital transformation And the modernization of software is clear: accelerating innovation, optimizing customer experience, reducing competition and unnecessary spending.

What’s the downside of all this technological innovation and sophistication? cost.


As you continue to adopt, re-factor and deploy your new microservices, you will begin to experience rapid microservices expansion. In addition, your teams are splitting into smaller teams as both your services and engineering team become more distributed.

service map of epsgon for microservices

A single click or tap can invoke dozens of synchronous or asynchronous events to fulfill that request across hundreds, sometimes thousands, of services. This exposes your teams to finding the needle in the haystack when trying to diagnose application problems in production.

distributed tracing

The response time of your application is dependent on all services – deployed in any cloud – maintaining optimum performance so that your application response times and cloud services costs do not increase. You need to be able to trace calls across multiple services and – just as important – have the diagnostic data needed to quickly resolve and redeploy your code.

How to Optimize the Cost of Your Cloud Services - Distributed Tracing
epsgon’s trace search

properly distributed tracing In place of capabilities, you have the insight to diagnose application problems in fractions of time. Faster diagnostics means faster fixing and lower cloud services costs.

Cloud migration and adoption

According to the progress of 2020 report goodOf the 56% of respondents, their cloud migration initiative is in – or currently planning – in the process. Throughout the process of your migration and adoption to multi-cloud deployments, maintaining observability into the end-to-end performance of your deployment is critical to optimizing performance and cost of services. In particular, you want to make sure you have the ability and strategy to understand which service — and in which cloud — is the issue and why its performance is affecting other services and increasing the cost of your services. doing.

do not over-provision

Without proper visibility, engineers and operators over-provision their servers, increasing the cost of services. Poorly written code causes a number of performance issues, including:

  • memory leaks
  • network I/O block
  • CPU in use
  • Maximizing HDD Capacity

With thousands of services in an organization, over-provisioning of cloud resources can cost organizations millions of dollars in redundant computing power.

Continuous deployment and delivery

Modern software environments continue to support independent release pipelines for software teams that own individual services. This is important because of your ability to innovate and its connection to the success of your business. In layman’s terms: Better facilities mean better business.

Unfortunately, each pipeline — potentially thousands of them — can increase the potential for performance degradation in production.

Increasing release velocity with monitoring

Maintaining optimum release velocity requires constant investment in your DevOps teams. Modern environments are reaching deployment multiple times per day with extremely short lead times. Your deployment velocity It is important to stay relevant and competitive by building new services and optimizing the cost of cloud services.

Maintaining performance monitoring at each stage of your SDLC, especially during production releases, acts as a safety-net at this level of the next generation release cadence. Without visibility into performance, you risk downtime, and downtime can result in millions of revenue losses for your business. For businesses like yours, It could be thousands of dollars a minute,

The right monitoring solution to optimize the cost of cloud services

With all of the above in mind, you want to ensure the following critical capabilities from your monitoring solution.

Lightweight agents and automated monitoring

The manual work involved in configuring, deploying, and maintaining traditional agents that rely on bytecode instrumentation can easily spiral out of control. Developer time can be wasted on unnecessary code changes and custom performance hacks to maintain visibility. Open-source projects require engineering efforts and implementation costs to tie together a mashup of tools.

With Epsgon’s lightweight Agent SDK for fast onboarding and automated monitoring, you can keep up with the number of services your organization supports. we have added the ability to monitoring and optimization Logging in your distributed calls for your services and modern environments.

distributed tracing

Your services continue to be deployed across multiple clouds, including AWS and Azure. Some of your developers are already using serverless technology, such as Lambda, and orchestration tools like Kubernetes, ECS, and Step Functions. The benefits of these technologies are clear, but the risks are greater when a single point of failure is introduced within the anatomy of a highly distributed request.

With Epsagon, you have the visibility you need to trace any delivered call between any number Services, tools and APIs To rapidly test, diagnose and resolve application problems in real time. Software problems that can take days to diagnose can now be resolved in minutes and hours, thus reducing the cost of services.

cloud cost visibility

As you migrate your services to the cloud, over-provisioning of computing resources is a common problem that can cost organizations millions of dollars in unnecessary costs and services costs. Without proper visibility into application performance, overprovisioning is a strategy developers can use to “throw expensive resources” at the problem. Unfortunately, if these resources are never used, you are stuck with a high cloud bill.

With Epsagon, you can set alerts for resources and view performance over time, which you can optimize for your use of compute services, as well as estimated monthly costs for AWS Lambda functions .

Pay for Use, Not Hosts

Most performance monitoring solutions approach pricing based on hosts, penalizing organizations that are undergoing a strategy to modernize their monolithic software. This older pricing model was not designed for modern and distributed application deployment and is associated with higher application and services costs.

At Epsgon we believe in charging based on optimized usage rather than on hosts, so you can get issues fixed faster and keep the cost of services low. We believe in democratizing performance monitoring, so we don’t tie our pricing to your modernization initiatives. you can visit us Pricing page to learn more,

How to Optimize the Cost of Your Cloud Services - Epsagon
Epson Dashboard with Key Performance Metrics

Optimize the cost of your cloud services – summarize it

Modernizing your applications can potentially increase the cost of your services. However, maintaining reasonable performance observability in your applications with Epsagon means that you can reduce typical costs with the modernization and deployment of modern software architectures.

with epsagonIts with you perfect observation platform in place and required visibility To be a harness as your applications continue to adopt modern architectural practices.

author bio
Rhen Ribenzaft Also co-founder and CTO of Epsagon and AWS Serverless Hero. Ran is a passionate developer with elite intelligence-unit background of the Army, and vast experience in network, infrastructure and cyber security. He is constantly pursuing new technologies and loves to share open-source tools to make life easier. @ranrib

about epsgon
Epson’s SaaS platform allows dev and ops teams to troubleshoot and fix issues faster by providing automated data correlation, payload, and end-to-end observability within microservices environments. With the lightweight Agent SDK, Epsagon provides automated instrumentation and tracing without gaps in coverage, giving you complete visibility into containers, VMs, serverless, and without any training, manual coding, tagging, or maintenance.

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